CN115291109A - Monitoring method and system of battery energy storage system, electronic equipment and storage medium - Google Patents

Abstract

Embodiments of the present invention provide a monitoring method, system, electronic device and storage medium for a battery energy storage system, which belong to the technical field of energy storage system monitoring. The method includes: an edge computing terminal receives initial operation data of a battery energy storage unit sent by a corresponding data acquisition device, then selects the first operation data from the initial operation data, and performs a first type of processing operation to obtain the first processing operation. result, and then send the initial operation data and the first processing result to the station control server; the station control server receives the initial operation data and the first processing result sent by at least one edge computing terminal, and retrieves the data from the initial operation data. The second operation data is screened in the middle to perform a second type of processing operation, and a second processing result is obtained; finally, the station control server performs a monitoring operation on the energy storage power station according to the first processing result and the second processing result.

Description

Monitoring method, system, electronic device and storage medium of battery energy storage system

technical field

The present invention relates to the technical field of energy storage system monitoring, in particular to a monitoring method, system, electronic equipment and storage medium of a battery energy storage system.

Background technique

A large-scale battery energy storage system includes multiple battery energy storage units, and each battery energy storage unit can include a single battery, a battery management system BMS, and the like. For example, a 1GWh battery energy storage system can contain at least two million single cells. With the operation of the battery energy storage system, the safety and reliability of each single battery is significantly reduced, and accidents such as fire and explosion may occur in the single battery. In order to ensure the safe operation of the battery energy storage system, it is necessary to manage the entire life cycle of each single battery, determine the operating boundary of the system, and formulate a reasonable energy management strategy, as well as timely maintenance and repair.

The monitoring system of the existing large-scale battery energy storage system generally adopts centralized monitoring or hierarchical distributed monitoring. The layered distributed monitoring system includes data acquisition layer, interval layer and station control layer. The data acquisition layer is mainly used to collect the operating data of each battery energy storage unit. The interval layer is mainly used for relay protection, measurement and control, and filtering. The station control layer mainly refers to the monitoring at the plant level, which is used to process and analyze the operating data of each single battery.

Due to the large number of single batteries in the battery energy storage system and the limited processing capacity of the station control layer, it is difficult to process massive operating data, and it is also impossible to specify a scientific energy management strategy, which cannot meet the needs of large-scale battery energy storage systems. It is difficult to realize the full life cycle monitoring of a large number of individual batteries due to the demand for refined management of individual batteries, and the reliability and safety of battery energy storage systems are low.

Contents of the invention

Embodiments of the present invention provide a monitoring system and method for a battery energy storage system, which are used to solve the problem of low processing capacity of the station control layer of the existing battery energy storage system.

In the first aspect, an embodiment of the present invention provides a monitoring method for a battery energy storage system, the battery energy storage system includes: at least one energy storage power station, and the energy storage power station includes: a station control server, at least one edge computing A terminal, and a data acquisition device respectively corresponding to the edge computing terminal; the method includes:

The edge computing terminal receives the initial operating data of the battery energy storage unit sent by the data acquisition device corresponding to the edge computing terminal;

The edge computing terminal screens the first operating data from the initial operating data, and performs a first type of processing operation to obtain a first processing result; the first type of processing operation includes at least one response delay shorter than the first Threshold operation;

The edge computing terminal sends the initial operation data and the first processing result to the station control server;

The station control server receives initial operation data and first processing results sent by at least one edge computing terminal;

The station control server screens the second operating data from the initial operating data, and performs a second type of processing operation to obtain a second processing result; the second type of processing operation includes at least one response delay greater than or operations equal to the first threshold;

The station control server performs a monitoring operation on the energy storage power station according to the first processing result and the second processing result.

In the second aspect, an embodiment of the present invention provides a method for monitoring a battery energy storage system, which is applied to an edge computing terminal, and the method includes:

Receive the initial operating data of the battery energy storage unit sent by the corresponding data acquisition device;

screening first operating data from said initial operating data;

performing a first type of processing operation on the first operating data to obtain a first processing result; the first type of processing operation includes at least one operation whose response delay is less than a first threshold;

Sending the initial running data and the first processing result to the station control server.

In the third aspect, the embodiment of the present invention also provides a monitoring method for a battery energy storage system, which is applied to a station control server, and the method includes:

receiving the initial operation data and the first processing result sent by at least one edge computing terminal; the first processing result is screened by the edge computing terminal from the initial operation data, and the first operation data is Obtained by performing a first type of processing operation, where the first type of processing operation includes at least one operation whose response delay is less than a first threshold;

screening second operating data from said initial operating data;

performing a second type of processing operation on the second operating data to obtain a second processing result; the second type of processing operation includes at least one operation whose response delay is greater than or equal to a first threshold;

Perform a monitoring operation on the energy storage power station according to the first processing result and the second processing result.

In a fourth aspect, an embodiment of the present invention further provides a monitoring system for a battery energy storage system, the battery energy storage system includes: at least one energy storage power station, and the energy storage power station includes: a station control server, at least one edge Computing terminals, and data acquisition devices respectively corresponding to the edge computing terminals;

The edge computing terminal is used to receive the initial operating data of the battery energy storage unit sent by the data acquisition device corresponding to the edge computing terminal; filter the first operating data from the initial operating data, and perform the first type of Processing operation, obtaining a first processing result; the first type of processing operation includes at least one operation whose response delay is less than a first threshold; sending the initial operation data and the first processing result to the station control server ;

The station control server is used to receive the initial operation data and the first processing result sent by at least one edge computing terminal; filter the second operation data from the initial operation data, and perform a second type of processing operation to obtain the second Processing result; the second type of processing operation includes at least one operation whose response delay is greater than or equal to a first threshold; perform a monitoring operation on the energy storage power station according to the first processing result and the second processing result.

In a fifth aspect, an embodiment of the present invention provides an electronic device, which includes: a processor, a memory, and a computer program stored on the memory and capable of running on the processor, the computer program being controlled by the The processor realizes the steps of the monitoring method for the battery energy storage system described in the second aspect or the third aspect when executed.

In a sixth aspect, an embodiment of the present invention provides a storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the method for monitoring the battery energy storage system described in the second aspect or the third aspect is implemented A step of.

Embodiments of the present invention include the following advantages:

In related technologies, when the data acquisition equipment collects and sends the operation data of each battery energy storage unit in the battery energy storage system to the station control server, it is difficult to process massive amounts of operation data due to the limited processing capacity of the station control server. When there is a potential safety hazard in the battery energy storage unit, it is difficult to obtain the processing results in time to regulate the corresponding battery energy storage unit.

The main improvement of the present invention lies in: on the structure of the monitoring system of the existing battery energy storage system, an edge computing terminal corresponding to the data acquisition equipment is added. It also lies in: layering the data processing operation of the station control server, executing the first type of processing operation with a short response delay on the edge computing terminal, and executing the second type of processing operation with a long response delay at the station control service layer processing operations.

Therefore, when the edge computing terminal receives the initial operating data sent by the corresponding data acquisition device, it filters out the first operating data that needs to be input to perform the first type of processing operation from the initial operating data, and then executes the first type of processing Operation, output the first processing result. The edge computing terminal performs part of the operations that the original station control server needs to perform, which reduces the processing capacity of the station control server and reduces the processing capacity requirements of the station control server. Then, the edge computing terminal sends the initial running data and the first processing result to the station control server.

The station control server only needs to filter out the second operating data that needs to be input to perform the second type of processing operation from the initial operating data, then execute the second type of processing operation, output the second processing result, and finally, according to the first processing result and the second processing result to monitor the energy storage power station. The station control server only needs to perform another part of the operations that the original station control server needs to perform, which reduces the processing capacity of the station control server and reduces the processing capacity requirements of the station control server.

In summary, after adopting the monitoring system and method of the battery energy storage system according to the embodiment of the present invention, the processing capacity requirement of the station control server is reduced, and the edge computing terminal and the station control server jointly process each battery energy storage unit in the energy storage power station Massive operating data, which improves the data processing speed. When there is a potential safety hazard in the battery energy storage unit, the station control server can timely regulate the corresponding battery energy storage unit, which improves the safety and reliability of the battery energy storage system.

Description of drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the accompanying drawings that need to be used in the description of the embodiments of the present invention. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention , for those skilled in the art, other drawings can also be obtained according to these drawings without paying creative labor.

Fig. 1 shows a block flow diagram of a monitoring method for a battery energy storage system of the present invention;

Fig. 2 shows a flowchart of another monitoring method for a battery energy storage system of the present invention;

Fig. 3 shows a block flow diagram of another monitoring method for a battery energy storage system of the present invention;

Fig. 4 shows a schematic structural diagram of the monitoring system of the battery energy storage system of the present invention;

Fig. 5 shows the schematic structural diagram of the energy storage power station of the present invention;

Figure 6 shows a schematic structural view of the battery energy storage unit of the present invention;

FIG. 7 shows a schematic structural diagram of an electronic device of the present invention;

FIG. 8 shows a schematic structural diagram of another electronic device of the present invention.

Detailed ways

The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

When the existing monitoring system of the battery energy storage system performs full-cycle life management of each battery energy storage unit, due to the large number of battery energy storage units, a large amount of operating data is fed back to the station control server. Usually, a 1M-scale battery energy storage unit has a data volume close to 10,000 points. However, the station control server usually uses industrial-grade processing chips to process data, and the processing capacity is limited, so it is difficult to process massive operating data. Therefore, when performing full-cycle life management on the battery energy storage system, there are potential safety hazards that cannot be detected and dealt with in time due to untimely data processing, and the safety and reliability of the battery energy storage system are low. To this end, the applicant provides a monitoring method for a battery energy storage system.

Method example:

Referring to Fig. 1, Fig. 1 shows a method for monitoring a battery energy storage system provided by an embodiment of the present invention. Wherein, the battery energy storage system includes at least one energy storage power station, and the energy storage power station includes: a station control server, at least one edge computing terminal, and data collection devices respectively corresponding to the edge computing terminals.

Energy storage power station refers to a plant that uses mechanical or chemical methods to store electrical energy. Among them, the mechanical energy storage power station can be a pumped water energy storage power station or a compressed air energy storage power station, etc., and the chemical energy storage power station can be a lead-acid battery energy storage power station or a lithium-ion battery energy storage power station.

The station control server refers to the equipment in the energy storage power station that manages the entire life cycle of each battery energy storage unit, which may include servers and computers.

The edge computing terminal refers to the device responsible for the local monitoring and computing services of the corresponding battery energy storage unit. It has certain software and hardware willingness and can deploy data computing, storage and forwarding programs. The edge computing terminal can be some embedded terminal hardware based on ARM or Intel architecture, and the open source LINUX system is generally installed.

The data collection device refers to the device responsible for collecting and forwarding the operation data in the battery energy storage unit, which can be the communication management machine in the energy storage container.

A battery energy storage unit refers to a device used to store electrical energy. Generally, the battery energy storage unit includes multiple battery clusters, each battery cluster includes multiple battery modules, and each battery module includes multiple single batteries. The battery energy storage unit also includes auxiliary equipment such as battery management system BMS (Battery Management System), energy storage converter PCS (Power Conversion System), air conditioner and uninterruptible power supply UPS (Uninterruptible Power Supply).

The monitoring method of the battery energy storage system may include the following steps:

Step 100, the edge computing terminal receives the initial operating data of the battery energy storage unit sent by the data collection device corresponding to the edge computing terminal.

The edge computing terminal communicates with the corresponding data collection device. After the data acquisition device collects the initial operating data of the corresponding battery energy storage unit, it sends the initial operating data to the edge computing terminal through wired or wireless communication.

The initial operation data refers to the operation data when the battery energy storage unit stores or releases electric energy. The initial operating data can be the current/voltage of the battery cluster, the current/voltage of the battery module, the current/voltage/temperature of the single battery, charging power/discharging power and other data.

Step 110, the edge computing terminal screens the first operating data from the initial operating data, and performs a first type of processing operation to obtain a first processing result; the first type of processing operation includes at least one response delay Actions less than the first threshold.

The edge computing terminal screens some data from the initial data for processing, so as to reduce the data processing amount of the station control server. Specifically, the edge computing terminal screens the first operating data from the initial operating data, and then performs a first type of processing operation on the first operating data to obtain a first processing result.

In this embodiment of the application, the response delay refers to the time required to process data and output a processing result. Generally, the smaller the response delay, the better the real-time performance of data processing.

Therefore, in the embodiment of the present application, the processing operations of the first type are classified by the first threshold. The first type of processing operation refers to a data processing process whose response delay is less than a first threshold. The edge computing terminal uses the first type of processing operation to process the first operating data, which has good real-time performance and can meet the real-time monitoring requirements of the battery energy storage system.

The first threshold may adopt an empirical value. For example, count the data processing time when the station control service layer implements different functions, and then use mathematical statistics methods, such as calculating the average value, to determine the first threshold.

As another implementation manner, the first threshold may also be defined according to the user's understanding of real-time performance. Usually, real-time refers to processing current data at the current moment, and the granularity of response delay is seconds or milliseconds; quasi-real-time refers to processing data of the current hour at the current hour, and the granularity of response delay is hours. In the embodiment of the present application, the first threshold is 100ms.

Optionally, step 110 may include step 111 and step 112 .

Step 111. Determine the first operating data identifier of the initial operating data.

When the edge computing terminal performs the first type of processing operation, it needs to determine the first operating data that needs to be input to perform the first type of processing operation, and the initial operating data includes more than the first operating data, so determine the initial operating data. The first operating data is identified so as to filter the first operating data.

In this embodiment of the application, when the data acquisition device sends the initial operating data to the edge computing terminal, it stores different operating data in the communication point table stipulated in the communication protocol according to the preset communication protocol, and then the communication point table Send to the edge computing terminal. In the communication point table, each running data corresponds to a different data identifier.

The data identifier can adopt the storage address of the corresponding operation data storage, or can be set by itself. For example, PI can be used for the current of the battery cluster, PU can be used for the voltage of the battery cluster, BI can be used for the current of the battery module, BU can be used for the voltage of the point-out module, CI can be used for the current of a single battery, and CI can be used for the current of a single battery. CU can be used for the voltage, and CT can be used for the temperature of the single battery.

Optionally, step 111 includes: acquiring a first running data identifier corresponding to the first type of processing operation.

In this embodiment of the application, when the edge computing terminal determines the first operating data identifier of the initial operating data, according to the type of input data required for the first type of processing operation, the received communication point The table is searched sequentially, so as to obtain the first running data identifier.

Step 112: Filter the first operating data from the initial operating data according to the first operating data identifier.

After the edge computing terminal determines the first operating data identifier, it filters corresponding data from the initial operating data to obtain the first operating data.

For example, the edge computing terminal searches the communication point table for data corresponding to the first operating data identifier to obtain the first operating data.

Optionally, after step 112, step 113 is also included.

Step 113. In the case where the first operating data includes the working current of the battery energy storage unit, performing the first type of processing operation includes:

Estimate the battery state of charge of the battery energy storage unit corresponding to the working current according to the working current and a preset battery state of charge estimation model.

In the case where the first operating data includes the operating current and operating voltage of the battery energy storage unit, the performing the first type of processing operation includes:

According to the working current, the working voltage and a preset short-circuit diagnosis model, a short-circuit diagnosis is performed on the corresponding battery energy storage unit.

The edge computing terminal may use different first running data to perform different first types of processing operations. Wherein, the edge computing terminal can realize the SOC estimation function, and at this time, the operating current of the battery energy storage unit needs to be used as the first operating data. The edge computing terminal stores a preset battery state of charge estimation model, that is, an SOC estimation model. The edge computing terminal inputs the working current of the battery energy storage unit into the SOC estimation model, and outputs the battery state of charge corresponding to the battery energy storage unit, so as to realize the SOC estimation function.

In the embodiment of the present application, the SOC estimation model is constructed using the ampere-hour integration method, and the SOC of the corresponding battery energy storage unit is estimated by integrating the operating current according to time.

When the first operating data includes the operating current and operating voltage of the battery energy storage unit, the operating current and operating voltage are input into a preset short-circuit diagnosis model, and a short-circuit diagnosis result is output. In the embodiment of the present application, the short-circuit diagnosis model is constructed using Ampere's theorem, and the actual internal resistance of the corresponding battery energy storage unit is determined through the operating current and operating voltage, and compared with the initial internal resistance of the battery energy storage unit. If the actual internal resistance is less than the initial internal resistance, there is a short circuit in the battery energy storage unit. The initial internal resistance of the battery energy storage unit can be determined through factory data when the battery energy storage unit is installed. The short-circuit diagnosis result output by the short-circuit diagnosis model may be: 0 if there is a short-circuit, and 1 if there is no short-circuit. Of course, in the embodiment of the present application, no specific limitation is imposed on the expression manner of the short circuit diagnosis result.

In the embodiment of the present application, there is no limitation on the specific implementation of the battery state of charge estimation model and the short circuit diagnosis model.

In addition, edge computing terminals can also adopt other models according to scenarios and requirements to realize other real-time functions. For example, according to the temperature of the battery energy storage unit, an appropriate temperature threshold is set to monitor the temperature of the battery energy storage unit. Certainly, in the embodiment of the present application, the specific content of the first type of processing operation to be performed by the edge computing terminal is not limited.

Step 120, the edge computing terminal sends the initial operation data and the first processing result to the station control server.

The edge computing terminal sends the initial operation data and the first processing result to the station control server for calculation, display, alarm and other subsequent processing by the station control server.

Optionally, when the edge computing terminal uploads data, the data to be uploaded can be compressed, so as to reduce the amount of data in the communication transmission process and increase the data transmission speed.

Step 130, the station control server receives the initial operation data and the first processing result sent by at least one edge computing terminal.

The station control server communicates with at least one edge computing terminal in the energy storage power station. Therefore, the station control server can receive initial operating data and first processing results uploaded by edge computing terminals at different locations.

Step 140, the station control server screens the second operating data from the initial operating data, and performs a second type of processing operation to obtain a second processing result; the second type of processing operation includes at least one response delay operation greater than or equal to the first threshold.

The station control server screens another part of data from the initial data for processing to reduce the amount of data processing. Specifically, the station control server screens out the second operating data from the initial operating data, and then performs a second type of processing operation on the second operating data to obtain a second processing result.

In this embodiment of the application, the response delay refers to the time required to process data and output a processing result. Generally, the greater the response delay, the worse the real-time performance of data processing. However, for some quasi-real-time functions, the station control server can be implemented within a certain period of time without real-time data processing.

Therefore, in the embodiment of the present application, the processing operations of the second type are classified by the first threshold. The second type of processing operation refers to a data processing process whose response delay is greater than or equal to the first threshold. The station control server uses the second type of processing operation to process the second operating data, and the real-time performance becomes worse, but it can still realize some quasi-real-time functions, which can also meet the quasi-real-time monitoring requirements of the battery energy storage system.

Optionally, step 140 may include step 141 and step 142 .

Step 141. Determine the second operating data identifier of the initial operating data.

In the embodiment of the present application, when the edge computing terminal sends the initial operation data and the first processing result to the station control server, it stores different data in the communication point table stipulated in the communication protocol according to the preset communication protocol, and then Send the communication point table to the station control server. In the communication point table, each data corresponds to a different data identifier.

Similarly, the data identifier can adopt the storage address of the corresponding operation data storage, or can be set by itself. For example, if the first processing result is the SOC estimation result uploaded by the edge computing terminal numbered n, then the corresponding identifier may be SOCn. The first processing result is the short circuit diagnosis result uploaded by the edge computing terminal numbered n, and the corresponding representation may be 0n or 1n. Wherein, 0n means that there is a short circuit in the battery energy storage unit corresponding to the edge computing terminal numbered n, and 1n means that there is no short circuit in the battery energy storage unit corresponding to the edge computing terminal numbered n. For data such as voltage, current, temperature, etc., the same data identifier as that represented by the first data may also be used to reduce the amount of processing.

Optionally, step 141 includes: acquiring a second running data identifier corresponding to the second type of processing operation.

In the embodiment of the present application, when the station control server determines the second operating data identifier of the initial operating data, according to the input type required for the second type of processing operation, the table look-up method is used to check the received communication point The table is searched sequentially, so as to obtain the second operating data identifier.

Step 142. Filter the second operating data from the initial operating data according to the second operating data identifier.

After the station control server determines the second operating data identifier, it filters the corresponding data from the initial operating data to obtain the second operating data. Specifically, the station control server can obtain the second operating data by looking up the data corresponding to the second operating data identifier from the communication point table.

For example, the station control server needs to check the consistency of the battery energy storage unit, and the second type of processing operation needs to input the working voltage of the battery energy storage unit, and then search the corresponding working voltage data from the communication point table.

The station control server can realize different functions, such as site monitoring function, real-time scheduling function, day-ahead planning function, intraday scheduling function, fault diagnosis function, transaction settlement function, operation and maintenance management function, etc.

The site monitoring function refers to the function of displaying, analyzing and alarming the operation data of each battery energy storage unit in the energy storage power station and the processing results obtained according to different data. Operational data and processing results can include active/reactive power of PCS of each battery energy storage unit, voltage and current of each battery cluster, voltage of each battery module, voltage/current/temperature of each single battery, UPS, air conditioner The working status of auxiliary equipment, as well as the alarm information of BMS, PCS and fire protection system.

The real-time scheduling function refers to the determination of the real-time active/reactive power regulation real-time instructions of each battery energy storage unit according to the real-time power regulation instructions of the superior management system and the real-time status of each battery energy storage unit, so as to meet the technical requirements of real-time power regulation. The station control server can interact with superior management systems such as grid dispatching to obtain real-time instructions for active/reactive power dispatching of energy storage power station grid-connected points before the day.

The day-ahead planning function refers to formulating the day-ahead charging and discharging plan of each battery energy storage unit according to the superior regulation instruction or the market transaction plan according to the built-in control strategy.

The intraday scheduling function refers to the adjustment of the charge and discharge plan of each battery energy storage unit according to the real-time working status of each battery energy storage unit, and the real-time adjustment of the charge and discharge plan of the battery energy storage unit for the rest of the day to meet the maximum degree of The consistency of the original charging and discharging plan.

The fault diagnosis function refers to the use of the built-in expert database to diagnose the faults of the energy storage power station based on the various alarm information of the energy storage power station, determine the cause of the fault, generate a maintenance work order, and support the operation of the maintenance personnel.

The transaction settlement function refers to publishing transaction quotations for energy storage power stations participating in the electricity market, and calculating the income of energy storage power stations based on market clearing prices. The station control server can obtain market information by interacting with the electricity market trading center.

In the embodiment of the present application, there is no limitation on the specific functions to be realized by the station control server.

Optionally, after step 142, step 143 is also included.

Step 143. In the case that the second operating data includes the working voltage of the battery energy storage unit, performing the second type of processing operation includes:

According to the working voltage and the preset voltage consistency check model, the voltage consistency check is performed on the corresponding battery energy storage unit.

Taking the voltage consistency check in the fault diagnosis function as an example, the process of data acquisition and data processing by the station control server is described.

When the station control server needs to perform the second type of processing operation to realize the voltage consistency check function, the input data required for the second type of processing operation is the working voltage of each battery energy storage unit. At this time, the station control server The filtered second operating data may include the operating voltage of each battery energy storage unit.

Then, the station control server uses the stored voltage consistency check model to check the voltage consistency of the corresponding battery energy storage unit. In the embodiment of the present application, the voltage consistency check model is an average value in data statistics. Specifically, the voltage consistency check is: determine the average value of the working voltage of each battery energy storage unit, and then compare the deviation between the working voltage of each battery energy storage unit and the average value. If the deviation is less than or equal to the set value, it can be determined that the voltages of the corresponding battery energy storage units are consistent; if the deviation is greater than the set value, it can be determined that the voltages of the corresponding battery energy storage units are inconsistent.

In the embodiment of the present application, the voltage consistency check model is not specifically limited.

Step 150, the station control server performs a monitoring operation on the energy storage power station according to the first processing result and the second processing result.

The station control server performs station monitoring according to the first processing result and the second processing result, that is, displays the first processing result and the second processing result, so that the staff can monitor.

Optionally, a cloud server may also be included, and the method further includes:

The cloud server receives data sent by at least one edge computing terminal and/or station control server.

When the data includes the initial operation data and the first processing result, the cloud server updates the first type of processing operation according to the initial operation data and the first processing result , and send the updated processing operation of the first type to the edge computing terminal.

When the data includes the initial operation data and the second processing result, the cloud server updates the second type of processing operation according to the initial operation data and the second processing result , and send the updated second type of processing operation to the station control server.

Models or algorithms in edge computing terminals or station control servers need to be regularly updated and maintained to better adapt to actual scenarios. Generally, big data analysis is used to update and maintain the model or algorithm, and then send it to the corresponding location.

In the embodiment of this application, the data sent by the edge computing terminal and the station control server are obtained through the cloud server, the historical database is constructed, and then the corresponding algorithm or model is updated.

Specifically, if the edge computing terminal uploads the initial operation data and the first processing result to the cloud server, the cloud server can build a historical database according to the initial operation data and the first processing result, and then update the first type of processing operation, Then send it to the corresponding edge computing terminal.

If the station control server uploads the initial operation data, the first processing result and the second processing result to the cloud server, then the cloud server can construct a historical database according to the initial operation data, the first processing result and the second processing result, and then One type of processing operation is updated, and then sent to the corresponding edge computing terminal; the second type of processing operation can also be updated, and then sent to the corresponding station control server.

It should be noted that the functions that can be realized by the cloud server can also include: full life cycle data traceability, digital twin modeling, reliability assessment, life prediction, safety warning, operation evaluation, preventive maintenance services, etc.

Among them, the full life cycle data traceability refers to the traceability of the voltage, current, and temperature data of any battery cell in the energy storage power station from commissioning to any current period.

Digital twin modeling refers to, based on the battery cell circuit model and electrochemical model, on the basis of the initial parameters, using the voltage, current, and temperature change data of the battery cell during the charge and discharge process to identify battery parameters and realize the model parameters. Active correction to reflect parameter changes during battery decay.

Reliability assessment refers to, according to the identification results of battery parameters in the digital twin modeling process, firstly calculate the battery cell state of health (SOH), and then calculate the The reliability rate of each battery energy storage unit and energy storage power station.

Life prediction refers to, based on the identification results of battery parameters in the process of digital twin modeling, and retrospectively identifying the charging and discharging conditions of battery cells and battery modules through the data of the whole life cycle, the remaining battery cells and battery modules life expectancy (RUL).

Safety warning refers to estimating the safe operating area (SOA) of each battery cell and module based on the calculation results of reliability assessment and the prediction results of life prediction. When the scope of SOA is exceeded, a security warning is issued.

Operational evaluation refers to tracing back the operation of the battery energy storage unit and energy storage power station based on the data of the whole life cycle, and calculating according to the set evaluation indicators and evaluation methods.

Preventive maintenance refers to putting forward preventive maintenance suggestions to energy storage power stations based on the warning results of safety warnings.

By adopting the above-mentioned monitoring method of the battery energy storage system of the present application, the processing capacity requirement of the station control server is reduced, and the edge computing terminal and the station control server jointly process the massive operating data of each battery energy storage unit in the energy storage power station, which improves the Data processing speed. When there is a potential safety hazard in the battery energy storage unit, the station control server can timely regulate the corresponding battery energy storage unit, which improves the safety and reliability of the battery energy storage system.

Referring to FIG. 2 , it shows that an embodiment of the present application additionally provides a monitoring method for a battery energy storage system. The method is applied to an edge computing terminal, including the following steps:

Step 200, receiving the initial operation data of the battery energy storage unit sent by the corresponding data acquisition device.

The edge computing terminal communicates with the corresponding data collection device. After the data acquisition device collects the initial operating data of the corresponding battery energy storage unit, it sends the initial operating data to the edge computing terminal through wired or wireless communication, and the edge computing terminal receives the initial operating data.

Step 210, screening first operating data from the initial operating data.

The edge computing terminal screens some data from the initial data for processing, so as to reduce the data processing amount of the station control server. Specifically, the edge computing terminal screens the first operating data from the initial operating data.

Optionally, step 210 may include:

Step 211. Determine the first operating data identifier of the initial operating data.

When the edge computing terminal performs the first type of processing operation, it needs to determine the first operating data that needs to be input to perform the first type of processing operation, and the initial operating data includes more than the first operating data, so determine the initial operating data. The first operating data is identified so as to filter the first operating data.

Optionally, step 211 includes: acquiring a first running data identifier corresponding to the first type of processing operation.

In this embodiment of the application, when the edge computing terminal determines the first operating data identifier of the initial operating data, according to the type of input data required for the first type of processing operation, the received communication point The table is searched sequentially, so as to obtain the first running data identifier.

Step 212: Filter the first operating data from the initial operating data according to the first operating data identifier.

After the edge computing terminal determines the first operating data identifier, it filters corresponding data from the initial operating data to obtain the first operating data.

Step 220: Perform a first type of processing operation on the first operating data to obtain a first processing result; the first type of processing operation includes at least one operation whose response delay is less than a first threshold.

In the case that the first operating data includes the working current of the battery energy storage unit, the performing the first type of processing operation includes:

Estimate the battery state of charge of the battery energy storage unit corresponding to the working current according to the working current and a preset battery state of charge estimation model.

In the case where the first operating data includes the operating current and operating voltage of the battery energy storage unit, the performing the first type of processing operation includes:

According to the working current, the working voltage and a preset short-circuit diagnosis model, a short-circuit diagnosis is performed on the corresponding battery energy storage unit.

The edge computing terminal may use different first running data to perform different first types of processing operations. Wherein, the edge computing terminal can realize the SOC estimation function, and at this time, the operating current of the battery energy storage unit needs to be used as the first operating data. The edge computing terminal stores a preset battery state of charge estimation model, that is, an SOC estimation model. The edge computing terminal inputs the working current of the battery energy storage unit into the SOC estimation model, and outputs the battery state of charge corresponding to the battery energy storage unit, so as to realize the SOC estimation function.

When the first operating data includes the operating current and operating voltage of the battery energy storage unit, the operating current and operating voltage are input into a preset short-circuit diagnosis model, and a short-circuit diagnosis result is output. In the embodiment of the present application, the short-circuit diagnosis model is constructed using Ampere's theorem, and the actual internal resistance of the corresponding battery energy storage unit is determined through the operating current and operating voltage, and compared with the initial internal resistance of the battery energy storage unit. If the actual internal resistance is less than the initial internal resistance, there is a short circuit in the battery energy storage unit.

Step 230, sending the initial operation data and the first processing result to the station control server.

The edge computing terminal sends the initial operation data and the first processing result to the station control server for calculation, display, alarm and other subsequent processing by the station control server.

By adopting the embodiment of the present application, the edge server processes the operating data of some battery energy storage units, which can reduce the processing capacity of the station control server, thereby reducing the processing capacity requirement of the station control server.

Referring to FIG. 3 , it shows a method for monitoring a battery energy storage system additionally provided by an embodiment of the present application. This method is applied to the station control server, including the following steps:

Step 300: Receive the initial operation data and the first processing result sent by at least one edge computing terminal; the first processing result is screened by the edge computing terminal from the initial operation data, and the first processing result is processed by the edge computing terminal A piece of running data is obtained by performing a first type of processing operation, and the first type of processing operation includes at least one operation whose response delay is less than a first threshold.

The station control server communicates with at least one edge computing terminal in the energy storage power station. Therefore, the station control server can receive initial operating data and first processing results uploaded by edge computing terminals at different locations.

Step 310, screening second operating data from the initial operating data.

The station control server screens another part of data from the initial data for processing to reduce the amount of data processing. It should be noted that the station control server screens the second operating data from the initial operating data.

Optionally, step 310 includes step 311 and step 312.

Step 311. Determine the second operating data identifier of the initial operating data.

In the embodiment of the present application, when the edge computing terminal sends the initial operation data and the first processing result to the station control server, it stores different data in the communication point table stipulated in the communication protocol according to the preset communication protocol, and then Send the communication point table to the station control server. In the communication point table, each data corresponds to a different data identifier.

Optionally, step 311 includes: acquiring a second running data identifier corresponding to the second type of processing operation.

In the embodiment of the present application, when the station control server determines the second operating data identifier of the initial operating data, according to the input type required for the second type of processing operation, the table look-up method is used to check the received communication point The table is searched sequentially, so as to obtain the second operating data identifier.

Step 312: Filter the second operating data from the initial operating data according to the second operating data identifier.

After the station control server determines the second operating data identifier, it filters the corresponding data from the initial operating data to obtain the second operating data. Specifically, the station control server can obtain the second operating data by looking up the data corresponding to the second operating data identifier from the communication point table.

Step 320: Perform a second type of processing operation on the second operating data to obtain a second processing result; the second type of processing operation includes at least one operation whose response delay is greater than or equal to the first threshold.

The station control server uses the second type of processing operation to process the second operating data, and the real-time performance becomes worse, but it can still realize some quasi-real-time functions, which can also meet the quasi-real-time monitoring requirements of the battery energy storage system.

Optionally, in the case that the second operating data includes the working voltage of the battery energy storage unit, the performing the second type of processing operation includes:

According to the working voltage and the preset voltage consistency check model, the voltage consistency check is performed on the corresponding battery energy storage unit.

When the station control server needs to perform the second type of processing operation to realize the voltage consistency check function, the input data required for the second type of processing operation is the working voltage of each battery energy storage unit. At this time, the station control server The filtered second operating data may include the operating voltage of each battery energy storage unit.

Then, the station control server uses the stored voltage consistency check model to check the voltage consistency of the corresponding battery energy storage unit. In the embodiment of the present application, the voltage consistency check model is an average value in data statistics. Specifically, the voltage consistency check is: determine the average value of the working voltage of each battery energy storage unit, and then compare the deviation between the working voltage of each battery energy storage unit and the average value. If the deviation is less than or equal to the set value, it can be determined that the voltages of the corresponding battery energy storage units are consistent; if the deviation is greater than the set value, it can be determined that the voltages of the corresponding battery energy storage units are inconsistent.

Step 330, perform a monitoring operation on the energy storage power station according to the first processing result and the second processing result.

The station control server performs station monitoring according to the first processing result and the second processing result, that is, displays the first processing result and the second processing result, so that the staff can monitor.

By adopting the embodiment of the present application, when the station control server meets the requirements for monitoring the entire life cycle of the energy storage power station, the demand for processing capacity is reduced.

It should be noted that, for the method embodiment, for the sake of simple description, it is expressed as a series of action combinations, but those skilled in the art should know that the embodiment of the present invention is not limited by the described action sequence, because According to the embodiment of the present invention, certain steps may be performed in other orders or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification belong to preferred embodiments, and the actions involved are not necessarily required by the embodiments of the present invention.

System embodiment:

Referring to Fig. 4 and Fig. 5, it shows a monitoring system of a battery energy storage system provided by an embodiment of the present application. The battery energy storage system includes: at least one energy storage power station 401 , and the energy storage power station 401 includes: a station control service layer 4011 , an edge service layer 4012 , and a data collection layer 4013 .

Wherein, the station control service layer 4011 includes a station control server. Referring to FIG. 5, the edge service layer 4012 includes at least one edge computing terminal, and the data collection layer 4013 includes a battery energy storage unit collection substation corresponding to the edge computing terminal, and the battery energy storage unit collection substation is connected to the battery energy storage unit. Advanced data acquisition equipment, such as BMS, PCS, sensors, etc.

Referring to FIG. 6 , it shows a schematic structural diagram of a battery energy storage unit. The battery energy storage unit 40131 includes a grid-connected transformer 401311, an energy storage converter 401312, a battery pack 401313, and auxiliary equipment such as UPS and air conditioner.

The battery energy storage unit 40131 is connected to the grid-connected transformer 401311 through a medium-voltage overhead line or cable, and then connected to the high-voltage grid. The energy storage converter 401312 is connected to the grid-connected transformer 401311 and the battery pack 401313, so as to perform AC/DC conversion on the current and control the charging/discharging process of the battery pack 401313.

It should be noted that the energy storage converter 401312 is composed of a DC/AC bidirectional converter, a control unit and the like. The control unit receives the background control command through communication, and controls the energy storage converter to charge or discharge the battery pack according to the sign and size of the power command, so as to realize the adjustment of the active power and reactive power of the grid.

It should be noted that the data refresh time of the battery energy storage unit acquisition sub-station is not greater than 100ms, so as to ensure the real-time performance of data upload.

The edge computing terminal includes:

The first receiving module is configured to receive the initial operation data of the battery energy storage unit sent by the data acquisition device corresponding to the edge computing terminal.

The first screening module is configured to screen the first operating data from the initial operating data.

Optionally, the first screening module includes:

The first determining module is configured to determine the first operating data identifier of the initial operating data.

The first screening submodule is configured to filter the first operating data from the initial operating data according to the first operating data identifier.

Optionally, the first determination module includes:

The first acquiring module is configured to acquire the first running data identifier corresponding to the first type of processing operation.

The first processing module is configured to perform a first type of processing operation on the first operating data to obtain a first processing result; the first type of processing operation includes at least one operation whose response delay is less than a first threshold.

Optionally, the first processing module includes:

Battery state of charge estimating module: used for estimating the relationship between the operating current and the operating current according to the operating current and a preset battery state of charge estimation model when the first operating data includes the operating current of the battery energy storage unit. The battery state of charge of the corresponding battery energy storage unit.

a short-circuit diagnosis module, configured to, in the case that the first operating data includes the working current and working voltage of the battery energy storage unit, according to the working current, the working voltage and a preset short-circuit diagnosis model, diagnose the corresponding battery The energy storage unit performs a short-circuit diagnosis.

A first sending module, configured to send the initial operation data and the first processing result to the station control server.

The station control server includes:

The second receiving module is configured to receive the initial operation data and the first processing result sent by at least one edge computing terminal.

The second screening module is configured to screen the second operating data from the initial operating data.

Optionally, the second screening module includes:

The second determining module is configured to determine a second operating data identifier of the initial operating data.

The second screening submodule is configured to filter the second operating data from the initial operating data according to the second operating data identifier.

Optionally, the second determination module includes:

The second acquiring module is configured to acquire the second running data identifier corresponding to the second type of processing operation.

The second processing module is configured to perform a second type of processing operation on the second operating data to obtain a second processing result; the second type of processing operation includes at least one operation whose response delay is greater than or equal to a first threshold .

Optionally, the second processing module includes:

A voltage consistency checking module, configured to check the corresponding battery energy storage unit according to the working voltage and a preset voltage consistency checking model when the second operating data includes the working voltage of the battery energy storage unit Voltage consistency check.

A monitoring module, configured to monitor the energy storage power station according to the first processing result and the second processing result.

Optionally, the monitoring system of the battery energy storage system further includes a cloud service layer 400 , and the cloud service layer includes a cloud service terminal 4001 . The cloud server 4001 includes:

The third receiving module is configured to receive data sent by at least one edge computing terminal and/or station control server.

A first updating module, configured to operate the first type of processing according to the initial operating data and the first processing result when the data includes the initial operating data and the first processing result to update.

The first sending module is configured to send the updated processing operation of the first type to the edge computing terminal.

A second updating module, configured to operate the second type of processing according to the initial operating data and the second processing result when the data includes the initial operating data and the second processing result to update.

The second sending module is configured to send the updated second type of processing operation to the station control server.

By adopting the monitoring system of the battery energy storage system in the embodiment of the present application, the processing capacity requirement of the station control server is reduced, and the edge computing terminal and the station control server jointly process the massive operating data of each battery energy storage unit in the energy storage power station, improving data processing speed. When there is a potential safety hazard in the battery energy storage unit, the station control server can timely regulate the corresponding battery energy storage unit, which improves the safety and reliability of the battery energy storage system.

Device example:

Referring to FIG. 7, the embodiment of the present application also provides an electronic device 700, which is applied to an edge computing terminal. The equipment includes:

It includes a processor 701, a memory 702, and a computer program stored on the memory 702 and capable of running on the processor 701. When the computer program is executed by the processor 701, the above-mentioned edge computing terminal realizes the monitoring of the battery energy storage system Each process of the method, and can achieve the same technical effect, in order to avoid repetition, will not repeat them here.

Referring to FIG. 8, the embodiment of the present application also provides an electronic device 800, which is applied to a station control server. The equipment includes:

It includes a processor 801, a memory 802, and a computer program stored on the memory 802 and capable of running on the processor 801. When the computer program is executed by the processor 801, the above-mentioned station control server realizes the battery energy storage system. Each process of the monitoring method can achieve the same technical effect, so in order to avoid repetition, details will not be repeated here.

The embodiment of the present invention also provides a readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, each process of the above-mentioned edge computing terminal realizing the monitoring method of the battery energy storage system is realized, and can achieve The same technical effects are not repeated here to avoid repetition.

The embodiment of the present invention also provides a readable storage medium, on which a computer program is stored, and when the computer program is executed by the processor, each process of the above-mentioned monitoring method of the battery energy storage system implemented by the station control server can be realized, and can To achieve the same technical effect, in order to avoid repetition, no more details are given here.

As for the system embodiment and the device embodiment, since they are basically similar to the method embodiment, the description is relatively simple, and for related parts, please refer to the part of the description of the method embodiment.

Each embodiment in this specification is described in a progressive manner, each embodiment focuses on the difference from other embodiments, and the same and similar parts of each embodiment can be referred to each other.

Regarding the apparatus in the foregoing embodiments, the specific manner in which each module executes operations has been described in detail in the embodiments related to the method, and will not be described in detail here.

The algorithms and displays presented herein are not inherently related to any particular computer, virtual system, or other device. Various generic systems can also be used with the teachings based on this. The structure required to construct such a system is apparent from the above description. Furthermore, embodiments of the present disclosure are not specific to any particular programming language. It should be understood that the content of the embodiments of the present disclosure described herein can be realized by using various programming languages, and the above description of specific languages is for disclosing the best mode of implementing the embodiments of the present disclosure.

In the description provided herein, numerous specific details are set forth. However, it is understood that embodiments of the present disclosure may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure the understanding of this description.

Similarly, it should be understood that in the above description of the exemplary embodiments of the embodiments of the present disclosure, various features of the embodiments of the present disclosure are sometimes grouped together in order to simplify the present disclosure and facilitate understanding of one or more of the various inventive aspects. grouped into a single embodiment, figure, or description thereof. This method of disclosure, however, is not to be interpreted as reflecting an intention that the claimed embodiments of the disclosure require more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus the claims following the Detailed Description are hereby expressly incorporated into this Detailed Description, with each claim standing on its own as a separate embodiment of an embodiment of the disclosure.

Those skilled in the art can understand that the modules in the device in the embodiment can be adaptively changed and arranged in one or more devices different from the embodiment. Modules or units or components in the embodiments may be combined into one module or unit or component, and furthermore may be divided into a plurality of sub-modules or sub-units or sub-assemblies. All features disclosed in this specification (including accompanying claims, abstract and drawings) and any method or method so disclosed may be used in any combination, except that at least some of such features and/or processes or units are mutually exclusive. All processes or units of equipment are combined. Each feature disclosed in this specification (including accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.

The various component embodiments of the embodiments of the present disclosure may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. Those skilled in the art should understand that a microprocessor or a digital signal processor (DSP) may be used in practice to implement some or all functions of some or all components in the sorting device according to the embodiments of the present disclosure. Embodiments of the present disclosure can also be implemented as an apparatus or an apparatus program for performing a part or all of the methods described herein. Such a program implementing an embodiment of the present disclosure may be stored on a computer-readable medium, or may be in the form of one or more signals. Such a signal may be downloaded from an Internet site, or provided on a carrier signal, or provided in any other form.

It should be noted that the above-mentioned embodiments illustrate rather than limit the embodiments of the disclosure, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. Embodiments of the disclosure can be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In a unit claim enumerating several means, several of these means can be embodied by one and the same item of hardware. The use of the words first, second, and third, etc. does not indicate any order. These words can be interpreted as names.

Those skilled in the art can clearly understand that for the convenience and brevity of the description, the specific working process of the above-described system, device and unit can refer to the corresponding process in the foregoing method embodiment, which will not be repeated here.

The above descriptions are only preferred embodiments of the embodiments of the present disclosure, and are not intended to limit the embodiments of the present disclosure. Any modifications, equivalent replacements and improvements made within the spirit and principles of the embodiments of the present disclosure, etc. , should be included within the protection scope of the embodiments of the present disclosure.

The above is only the specific implementation of the embodiments of the present disclosure, but the scope of protection of the embodiments of the present disclosure is not limited thereto, any person familiar with the technical field is within the technical scope disclosed by the embodiments of the present disclosure , changes or substitutions can be easily thought of, and all should fall within the protection scope of the embodiments of the present disclosure. Therefore, the protection scope of the embodiments of the present disclosure should be determined by the protection scope of the claims.

Claims (14)

1. A method for monitoring a battery energy storage system, the battery energy storage system comprising: at least one energy storage power station, the energy storage power station comprising: the system comprises a station control server, at least one edge computing terminal and data acquisition equipment respectively corresponding to the edge computing terminals; the method comprises the following steps:

the edge computing terminal receives initial operation data of the battery energy storage unit sent by data acquisition equipment corresponding to the edge computing terminal;

the edge computing terminal screens first operation data from the initial operation data and carries out first type processing operation to obtain a first processing result; the first type of processing operation comprises at least one operation in which a response delay is less than a first threshold;

the edge computing terminal sends the initial operation data and the first processing result to the station control server side;

the station control server receives initial operation data and a first processing result sent by at least one edge computing terminal;

the station control server side screens second operation data from the initial operation data, and carries out second type processing operation to obtain a second processing result; the second type of processing operation comprises at least one operation in which a response delay is greater than or equal to a first threshold;

and the station control server side monitors the energy storage power station according to the first processing result and the second processing result.

2. The method of claim 1, wherein the edge computing terminal filtering first operational data from the initial operational data comprises:

determining a first operating data identifier of the initial operating data;

and screening the first operating data from the initial operating data according to the first operating data identifier.

3. The method of claim 2, wherein determining the first operational data identification of the initial operational data comprises:

and acquiring a first running data identifier corresponding to the first type of processing operation.

4. The method according to claim 1 or 2, wherein in case the first operational data comprises an operating current of a battery energy storage unit, the performing a first type of processing operation comprises:

estimating the battery charge state of a battery energy storage unit corresponding to the working current according to the working current and a preset battery charge state estimation model;

in a case that the first operation data includes an operating current and an operating voltage of a battery energy storage unit, the performing of the first type of processing operation includes:

and carrying out short-circuit diagnosis on the corresponding battery energy storage unit according to the working current, the working voltage and a preset short-circuit diagnosis model.

5. The method of claim 1, wherein the station control server filters second operation data from the initial operation data, and comprises:

determining a second operation data identifier of the initial operation data;

and screening the second operation data from the initial operation data according to the second operation data identification.

6. The method of claim 5, wherein determining the second operational data identification of the initial operational data comprises:

and acquiring a second running data identifier corresponding to the second type of processing operation.

7. The method according to claim 1 or 5, wherein in case the second operation data comprises an operating voltage of a battery energy storage unit, the performing of the second type of processing operation comprises:

and according to the working voltage and a preset voltage consistency checking model, carrying out voltage consistency checking on the corresponding battery energy storage unit.

8. The method of claim 1, further comprising a cloud server, the method further comprising:

the cloud server receives data sent by at least one edge computing terminal and/or a station control server;

under the condition that the data comprise the initial operation data and the first processing result, the cloud server side updates the first type of processing operation according to the initial operation data and the first processing result, and sends the updated first type of processing operation to the edge computing terminal;

and under the condition that the data comprises the initial operation data and the second processing result, the cloud server updates the second type of processing operation according to the initial operation data and the second processing result, and sends the updated second type of processing operation to the station control server.

9. A monitoring method of a battery energy storage system is applied to an edge computing terminal, and is characterized by comprising the following steps:

receiving initial operation data of a battery energy storage unit sent by corresponding data acquisition equipment;

screening first operation data from the initial operation data;

processing the first operation data in a first type to obtain a first processing result; the first type of processing operation comprises at least one operation in which a response delay is less than a first threshold;

and sending the initial operation data and the first processing result to a station control server.

10. A monitoring method of a battery energy storage system is applied to a station control server side, and is characterized by comprising the following steps:

receiving initial operation data and a first processing result sent by at least one edge computing terminal; the first processing result is obtained by screening first operation data from the initial operation data by the edge computing terminal and performing a first type of processing operation on the first operation data, wherein the first type of processing operation comprises at least one operation with response delay smaller than a first threshold;

screening second operation data from the initial operation data;

processing the second running data in a second type to obtain a second processing result; the second type of processing operation comprises at least one operation in which a response delay is greater than or equal to a first threshold;

and monitoring the energy storage power station according to the first processing result and the second processing result.

11. A monitoring system for a battery energy storage system, the battery energy storage system comprising: at least one energy storage power station, the energy storage power station comprising: the system comprises a station control server, at least one edge computing terminal and data acquisition equipment respectively corresponding to the edge computing terminals;

the edge computing terminal is used for receiving initial operation data of the battery energy storage unit sent by the data acquisition equipment corresponding to the edge computing terminal; screening first operation data from the initial operation data, and performing a first type of processing operation to obtain a first processing result; the first type of processing operation comprises at least one operation in which a response delay is less than a first threshold; sending the initial operation data and the first processing result to the station control server;

the station control server is used for receiving initial operation data and a first processing result sent by at least one edge computing terminal; screening second operation data from the initial operation data, and performing a second type of processing operation to obtain a second processing result; the second type of processing operation comprises at least one operation in which a response delay is greater than or equal to a first threshold; and monitoring the energy storage power station according to the first processing result and the second processing result.

12. The system of claim 11, wherein the monitoring system of the battery energy storage system further comprises a cloud server,

the cloud server is used for receiving data sent by at least one edge computing terminal and/or a station control server; under the condition that the data comprises the initial operation data and the first processing result, updating the first type of processing operation according to the initial operation data and the first processing result, and sending the updated first type of processing operation to the edge computing terminal; and under the condition that the data comprises the initial operation data and the second processing result, updating the second type of processing operation according to the initial operation data and the second processing result, and sending the updated second type of processing operation to the station control server.

13. An electronic device, comprising: a processor, a memory and a computer program stored on the memory and executable on the processor, the computer program, when executed by the processor, implementing the steps of the method of monitoring a battery energy storage system of claim 9 or 10.

14. A storage medium, characterized in that the storage medium has stored thereon a computer program which, when being executed by a processor, carries out the steps of the method for monitoring a battery energy storage system according to claim 9 or 10.

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