CN118554645B - Intelligent integrated power distribution system based on analysis model operation - Google Patents
Intelligent integrated power distribution system based on analysis model operation Download PDFInfo
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- CN118554645B CN118554645B CN202411025369.8A CN202411025369A CN118554645B CN 118554645 B CN118554645 B CN 118554645B CN 202411025369 A CN202411025369 A CN 202411025369A CN 118554645 B CN118554645 B CN 118554645B
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00006—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment
- H02J13/00022—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment using wireless data transmission
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J4/00—Circuit arrangements for mains or distribution networks not specified as AC or DC
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/00032—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries characterised by data exchange
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/0047—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries with monitoring or indicating devices or circuits
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J9/00—Circuit arrangements for emergency or stand-by power supply, e.g. for emergency lighting
- H02J9/04—Circuit arrangements for emergency or stand-by power supply, e.g. for emergency lighting in which the distribution system is disconnected from the normal source and connected to a standby source
- H02J9/06—Circuit arrangements for emergency or stand-by power supply, e.g. for emergency lighting in which the distribution system is disconnected from the normal source and connected to a standby source with automatic change-over, e.g. UPS systems
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- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Business, Economics & Management (AREA)
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- Computer Networks & Wireless Communication (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The invention discloses an intelligent integrated power distribution system based on analysis model operation, which comprises an alternating current power supply subsystem, a direct current power supply subsystem, an alternating current uninterrupted power supply subsystem, an inverter power supply subsystem, a direct current converter subsystem for communication, a storage battery pack, a main monitoring unit, an analysis model operation unit and a group of corresponding electric quantity storage pools; the analysis model operation unit is used for carrying out analysis model operation on operation data of the power supply system, intelligent optimization of the power supply system is realized, the operation efficiency and reliability of the power supply system are improved, and the problem that the existing integrated power supply system cannot realize instant adjustment of power distribution is solved.
Description
Technical Field
The invention relates to the technical field of intelligent integrated power distribution systems, in particular to an intelligent integrated power distribution system based on analysis model operation.
Background
Common power distribution systems generally include an ac power source, a dc power source, an ac uninterruptible power source, a dc conversion for communication, an inverter power source, and the like, and these power distribution systems often operate independently, resulting in high complexity of the system and high operation, maintenance and management costs. Integrated power supplies typically include power management Integrated Circuits (ICs), power converters, power regulators, interfaces, control logic, and the like, which provide stable, efficient power to a variety of devices and systems.
In the process of intensively researching the integrated power supply system, the existing integrated power supply system is found to form an initial pre-program design according to the system in the process of specifically distributing power to each system, when the voltage required by a certain system changes and increases in a subsequent time period, the existing power supply system cannot consider the power distribution of the program, the integrated direct current power supply is often required to be compensated under the distribution according to the pre-program, on one hand, the unstable voltage of the direct current power supply at low voltage can directly lead to unstable power supply of the system, on the other hand, the compensation method is also a burden for the direct current power supply, and the existing integrated power supply system cannot realize instant adjustment of power distribution.
Disclosure of Invention
This section is intended to outline some aspects of embodiments of the application and to briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section as well as in the description of the application and in the title of the application, which may not be used to limit the scope of the application.
The present invention has been made in view of the above-described problems with the conventional integrated power supply system.
Therefore, the technical problems solved by the invention are as follows: the problem that current integrated power supply system can't accomplish the instantaneous adjustment of distribution is solved.
In order to solve the technical problems, the invention provides the following technical scheme: the intelligent integrated power distribution system based on analysis model operation comprises the following components: the system comprises an alternating current power supply subsystem, a direct current power supply subsystem, an alternating current uninterruptible power supply subsystem, an inverter power supply subsystem, a direct current converter subsystem for communication, a storage battery pack, a master monitoring unit, an analysis model operation unit and a group of corresponding electric quantity storage pools; the analysis model operation unit acquires analysis power distribution results of all the power supply systems to be supplied and then sends the analysis power distribution results to the master monitoring unit, and the master monitoring unit controls all the subsystems to distribute electric quantity of all the power supply systems and sends the electric quantity after power distribution to the corresponding electric quantity storage pool;
The analysis model operation unit specifically comprises the following components: the monitoring sensor acquires state parameters of the corresponding power supply system through a current sensor arranged at the current input end of each power supply system; the early loss acquisition unit is embedded in the big data storage end and used for acquiring a historical loss value of a corresponding power supply system stored in the storage end in advance; the pre-distribution unit is in wireless data connection with the early loss acquisition unit, establishes a pre-distribution model after acquiring the historical loss value, outputs a pre-distribution processing value, and the intelligent integrated power distribution system distributes electric quantity according to the pre-distribution processing value and conveys the electric quantity after distribution to a corresponding electric quantity storage pool; the power transmission unit is electrically connected with the electric quantity storage pool for storing the power distribution electric quantity in advance, and completes power transmission work when a corresponding power supply system is required to work; the pre-distribution model is specifically built by the following steps:
Wherein η i is the pre-distribution processing value of the ith power supply system, X i is the historical loss value of the ith power supply system in a preset time, X Total (S) is the historical loss values of all the power supply systems in the preset time, X n is the historical loss value of the nth power supply system in the preset time, n is the number of the power supply systems, and 1.207 is an analog constant; the intelligent integrated power distribution system adopts the following formula when distributing electric quantity according to the pre-distribution processing value:
L i is the electric quantity distributed by the ith power supply system, L Total (S) is the total electric quantity generated by the intelligent integrated power distribution system within a preset time, and eta i is the pre-distribution treatment value of the ith power supply system.
As a preferable scheme of the intelligent integrated power distribution system based on analysis model operation, the invention comprises the following steps: the power transmission unit is embedded with an instant adjustment unit, the instant adjustment unit is connected with the configured current sensor data signals to obtain real-time current signals, a power supply system is started, a current-time curve is obtained in preset time, a power transmission pre-adjustment model is built, an adjustment constant is output, the pre-distribution processing value is adjusted according to the adjustment constant, and electric quantity distribution in the next pre-distribution process is obtained according to the adjusted pre-distribution processing value.
As a preferable scheme of the intelligent integrated power distribution system based on analysis model operation, the invention comprises the following steps: when the current-time curve is constructed, real-time current in preset time is selected as an ordinate, corresponding time is selected as an abscissa, each reference point is obtained, and each point is connected with a smooth curve to form the current-time curve.
As a preferable scheme of the intelligent integrated power distribution system based on analysis model operation, the invention comprises the following steps: the preset time is selected to be 60 minutes.
As a preferable scheme of the intelligent integrated power distribution system based on analysis model operation, the invention comprises the following steps: obtaining the current-time curve, comparing the historical current-historical time curve which is stored in the storage end in advance in the same preset time, and obtaining the difference parameter: maximum value difference alpha, minimum value difference beta, variance difference gamma and floating parameter difference delta obtained by each reference point;
The formula for acquiring the floating parameter difference delta specifically comprises the following steps:
wherein δ is the floating parameter difference, a 1 is the current value of the first reference point in the current-time curve, a m is the current value of the m-th reference point in the current-time curve, a 1 'is the current value of the first reference point in the historical current-historical time curve, a m' is the current value of the m-th reference point in the historical current-historical time curve, and m is the number of reference points.
As a preferable scheme of the intelligent integrated power distribution system based on analysis model operation, the invention comprises the following steps: the constructed power transmission pre-adjustment model specifically comprises the following steps:
wherein, κ is the adjustment constant, α is the maximum difference, β is the minimum difference, γ is the variance difference, δ is the floating parameter difference, and 1.013 is the simulation constant.
As a preferable scheme of the intelligent integrated power distribution system based on analysis model operation, the invention comprises the following steps: when the pre-distribution processing value is adjusted according to the adjustment constant, the following model is referred to:
Wherein η i' is the adjusted pre-distribution processed value of the i-th power supply system, η i is the pre-distribution processed value of the i-th power supply system, κ is the corresponding adjustment constant, and-1.66 is an analog constant.
The invention provides an intelligent integrated power distribution system based on analysis model operation, which has the following beneficial effects:
1. According to the invention, the analysis model operation unit is adopted to carry out analysis model operation on the operation data of the power supply system, so that the intelligent optimization of the power supply system is realized, the operation efficiency and reliability of the power supply system are improved, and the problem that the conventional integrated power supply system cannot realize instant adjustment of power distribution is solved;
2. The number of storage battery packs is reduced by sharing the same storage battery pack, and the operation, maintenance and management cost is reduced;
3. The total monitoring unit performs centralized monitoring and decentralized control on each power subsystem, so that the management level of the integrated power subsystem is improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the description of the embodiments will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art. Wherein:
Fig. 1 is a block diagram of an overall system of an analytical model arithmetic unit according to the present invention.
Detailed Description
So that the manner in which the above recited objects, features and advantages of the present invention can be understood in detail, a more particular description of the invention, briefly summarized above, may be had by reference to the embodiments, some of which are illustrated in the appended drawings. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
In the process of intensively researching the integrated power supply system, the existing integrated power supply system is found to form an initial pre-program design according to the system in the process of specifically distributing power to each system, when the voltage required by a certain system changes and increases in a subsequent time period, the existing power supply system cannot consider the power distribution of the program, the integrated direct current power supply is often required to be compensated under the distribution according to the pre-program, on one hand, the unstable voltage of the direct current power supply at low voltage can directly lead to unstable power supply of the system, on the other hand, the compensation method is also a burden for the direct current power supply, and the existing integrated power supply system cannot realize instant adjustment of power distribution.
Accordingly, referring to fig. 1, the present invention provides an intelligent integrated power distribution system based on analysis model operation, the intelligent integrated power distribution system includes the following components: the system comprises an alternating current power supply subsystem, a direct current power supply subsystem, an alternating current uninterruptible power supply subsystem, an inverter power supply subsystem, a direct current converter subsystem for communication, a storage battery pack, a master monitoring unit, an analysis model operation unit and a group of corresponding electric quantity storage pools; the analysis model operation unit acquires analysis distribution results of all the power supply systems and sends the analysis distribution results to the master monitoring unit, and the master monitoring unit controls all the subsystems to distribute the electric quantity of all the power supply systems and sends the electric quantity after distribution to the corresponding electric quantity storage pool;
the analysis model operation unit specifically comprises the following components:
the monitoring sensor acquires state parameters of the corresponding power supply system through a current sensor arranged at the current input end of each power supply system;
The early loss acquisition unit is embedded in the big data storage end and used for acquiring a historical loss value of a corresponding power supply system stored in the storage end in advance;
the pre-distribution unit is in wireless data connection with the early loss acquisition unit, establishes a pre-distribution model after acquiring the historical loss value, outputs a pre-distribution processing value, and the intelligent integrated power distribution system distributes electric quantity according to the pre-distribution processing value and conveys the electric quantity after distribution to a corresponding electric quantity storage pool;
and the power transmission unit is electrically connected with an electric quantity storage pool for pre-storing the distribution electric quantity, and completes power transmission operation when the corresponding power supply system is required to work.
It should be noted that:
1. The alternating current power supply subsystem is used for providing alternating current power for the power supply system;
2. The direct-current power supply subsystem is used for providing direct-current power for the power supply system;
3. The alternating current uninterrupted power supply subsystem is used for providing power for the key load when the alternating current power supply is powered off;
4. The inverter power subsystem is used for converting a direct-current power supply into an alternating-current power supply;
5. a communication DC converter subsystem for providing DC power to the communication device;
6. the storage battery pack provides standby power for each subsystem;
7. The main monitoring unit is used for carrying out centralized monitoring and decentralized control on each power subsystem;
8. And the analysis model operation unit is used for carrying out analysis model operation on the operation data of the power supply system and realizing intelligent optimization of the power supply system.
The intelligent integrated power distribution system adopts an analysis model operation unit to carry out analysis model operation on operation data of the power system, and carries out intelligent optimization on each power subsystem according to operation results, thereby realizing the safe and network intelligent design of the power system. By sharing the same group of storage batteries, the number of storage battery groups is reduced, and the operation, maintenance and management cost is reduced. The total monitoring unit performs centralized monitoring and decentralized control on each power subsystem, so that the management level of the integrated power subsystem is improved.
It should be noted that:
1. the monitoring sensor adopts a current sensor, and the process of acquiring the state parameters is the conventional application of the current sensor, and redundant description is omitted here.
2. The large data storage end stores the historical loss value and the historical current-historical time curve of the power supply system, the information is directly stored in the analysis model operation unit in the operation and analysis process, the information is directly obtained in the storage end, the obtained process is a mature technology of the program, and redundant description is omitted.
Additionally, the invention also provides a detailed code of the acquisition process, as follows:
import requests
import json
suppose server address and port
SERVER_ADDRESS = 'http://example.com'
SERVER_PORT = '8080'
URL path for # historical loss data
HISTORY_LOSS_PATH = '/api/history_loss'
Request header information # authentication information or other header information may be added according to actual situation
HEADERS = {
'Content-Type': 'application/json',
' Authentication ': bearer you_token ' # if it is an API requiring authentication, then authentication token needs to be added
}
# Initiate GET request, obtain historical wear-and-tear data
def fetch_history_loss():
url = f"{SERVER_ADDRESS}:{SERVER_PORT}{HISTORY_LOSS_PATH}"
response = requests.get(url, headers=HEADERS)
if response.status_code == 200:
JSON data returned by# parsing
data = response.json()
Print ('successful acquisition of historical wear data:', data)
return data
else:
Print ("failure to acquire historical wear data, state code:", response. Status_code)
return None
# Perform data acquisition
if __name__ == "__main__":
fetch_history_loss()
3. The electric quantity storage pool is an application of a mature technology, and after power distribution information is obtained, the electric quantity to be distributed is directly conveyed to the storage pool for standby according to the power distribution information, and redundant description is omitted.
Further, the pre-distribution model is specifically built as follows:
Wherein η i is a pre-distribution processing value of the ith power supply system, X i is a historical loss value of the ith power supply system in a preset time, X Total (S) is a historical loss value of all power supply systems in the preset time, X n is a historical loss value of the nth power supply system in the preset time, n is the number of the power supply systems, and 1.207 is an analog constant.
The above model needs to be described as follows: the traditional technology adopts X i/X Total (S) for calculation, but the invention creatively adopts fine adjustment and optimization, which is characterized in that the difference between the systems needing power supply is obtained through the second-order norm, and the calculation result of the pre-power distribution model is more accurate by matching with the simulation constant.
Further, when the intelligent integrated power distribution system distributes electric quantity according to the pre-distribution processing value, the following formula is adopted:
l i is the electric quantity distributed by the ith power supply system, L Total (S) is the total electric quantity generated by the intelligent integrated power distribution system within a preset time, and eta i is the pre-distribution treatment value of the ith power supply system.
Furthermore, an instant adjusting unit is embedded in the power transmission unit and is connected with the configured current sensor data signals to obtain real-time current signals, a power supply system is started, a current-time curve is obtained in preset time, a power transmission pre-adjustment model is built, an adjustment constant is output, a pre-distribution processing value is adjusted according to the adjustment constant, and electric quantity distribution in the next pre-distribution process is obtained according to the adjusted pre-distribution processing value.
It should be noted that, the current-time curve is obtained by the instant adjustment unit, and then stored in the storage end for data standby, and the current-time curve is used in the next pre-distribution process, so that the next pre-distribution process can be further adjusted, and the distribution accuracy of the next pre-distribution process is improved.
Specifically, when a current-time curve is constructed, real-time current in preset time is selected as an ordinate, corresponding time is selected as an abscissa, each reference point is obtained, and each point is connected with a smooth curve to form the current-time curve.
Specifically, the preset time is selected to be 60 minutes. Of course, other time can be selected for the preset time, and the consistent time period is selected for data statistics by taking the preset time length as a standard.
Further, a current-time curve is obtained, a historical current-historical time curve of the same preset time stored in the storage end in advance is compared, and a differential parameter is obtained: maximum value difference alpha, minimum value difference beta, variance difference gamma and floating parameter difference delta obtained by each reference point;
The formula for acquiring the floating parameter difference delta is specifically as follows:
wherein δ is the floating parameter difference, a 1 is the current value of the first reference point in the current-time curve, a m is the current value of the mth reference point in the current-time curve, a 1 'is the current value of the first reference point in the historical current-historical time curve, a m' is the current value of the mth reference point in the historical current-historical time curve, and m is the number of reference points.
It should be noted that, the inventive use of norms in the model defines the floating parameter difference, which represents the difference of different curve reference points.
It should be noted that:
1. Maximum difference α= |maximum (current-time curve) -maximum (historical current-historical time curve) |;
2. minimum difference β= |minimum (current-time curve) -minimum (historical current-historical time curve) |;
3. Variance difference γ= |variance (current-time curve) -variance (historical current-historical time curve) |;
Further, the constructed power transmission pre-adjustment model specifically comprises the following steps:
where κ is the tuning constant, α is the maximum difference, β is the minimum difference, γ is the variance difference, δ is the floating parameter difference, and 1.013 is the simulation constant.
It should be noted that: in the model, from the basic angle analysis, the variance difference and the floating parameter difference are basic factors which can reflect the difference before and after adjustment, so that the influence of the variance difference is increased by adopting an integral mode when the fourth term of the model is formulated, and the maximization of the exponential type salient difference of 2 basic factors is matched.
Furthermore, when the pre-distribution processing value is adjusted according to the adjustment constant, the following model is referred to:
Wherein η i' is the adjusted pre-distribution treatment value of the i-th power supply system, η i is the pre-distribution treatment value of the i-th power supply system, κ is the corresponding adjustment constant, and-1.66 is the analog constant.
In order to verify the beneficial effects of the invention, the following experiments are carried out on a simulator:
1. test target:
And verifying the efficiency and reliability of the intelligent integrated power distribution system based on the analysis model operation in the actual industrial environment.
The system can be proved to be capable of adjusting the power distribution in real time to adapt to load changes and power supply abnormal conditions.
2. Test equipment and environment:
An industrial power distribution system with a practical scale is built, and the industrial power distribution system comprises an alternating current power supply, a direct current power supply, an uninterruptible power supply, an inverter power supply, a communication power supply and a storage battery pack.
And the sensor and the monitoring equipment are installed, and the sensor and the monitoring equipment comprise a high-precision current transformer, a voltage transformer, a power analyzer, a PLC and an SCADA system.
And setting a control center comprising a total monitoring unit, an analysis model operation unit and a corresponding software platform.
3. The test method comprises the following steps:
Different load variations and power anomalies are introduced in the actual industrial environment, such as suddenly increasing loads, power supply interruptions, etc.
And analyzing the real-time data by using an analysis model operation unit, and adjusting the power distribution of the power supply according to an analysis result so as to maintain the stability and the efficiency of the system.
The load condition, power state, system response time and adjustment effect of each test are recorded.
And automatically acquiring and recording data through the PLC and the SCADA system.
4. Test data and results:
Load conditions: the setting of the analog load is of a type and scale common to industry such as motor start-up, lighting systems, computer networks, etc.
Power state: and recording parameters such as output voltage, current, power factor, frequency and the like of the power supply under different load conditions.
System response time: the time required for the system to complete the adjustment from the load change to occur is measured.
The adjusting effect is as follows: and evaluating indexes such as load balance degree, power efficiency, standby power supply starting time and the like after the system is regulated.
5. Experimental data example:
Test one: the load condition is motor start, the power state is 220V of AC power output voltage, and the current is 100A. The response time of the system is 10ms, the load balance degree is improved from 80% to 95% after adjustment, and the power efficiency is improved by 5%.
And (2) testing II: the load condition is that the lighting system is started, and the power supply state is that the direct current power supply outputs 24V and 100A. The response time of the system is 20ms, the load balance degree is improved from 75% to 90% after adjustment, and the power efficiency is improved by 10%.
And (3) test III: the load condition is computer network operation, the power supply state is the output voltage 220V of the inverter power supply, and the current 80A. The system response time is 15ms, the load balance degree is improved from 85% to 98% after adjustment, and the standby power supply is not started.
6. Analysis of results:
Based on the experimental data in the experimental data example, the performance of the intelligent integrated power distribution system in actual operation is analyzed.
The system can quickly respond to load change, effectively adjust power distribution and improve the overall efficiency and reliability of the power supply system.
The stability and robustness of the system in coping with power supply anomalies is discussed.
7. Conclusion of the test:
According to the experimental data in the experimental data example, a conclusion that the intelligent integrated power distribution system based on the analysis model operation can adjust power distribution in time and improve the operation efficiency and reliability is obtained.
The invention provides an intelligent integrated power distribution system based on analysis model operation, which has the following beneficial effects:
1. According to the invention, the analysis model operation unit is adopted to carry out analysis model operation on the operation data of the power supply system, so that the intelligent optimization of the power supply system is realized, the operation efficiency and reliability of the power supply system are improved, and the problem that the conventional integrated power supply system cannot realize instant adjustment of power distribution is solved;
2. The number of storage battery packs is reduced by sharing the same storage battery pack, and the operation, maintenance and management cost is reduced;
3. The total monitoring unit performs centralized monitoring and decentralized control on each power subsystem, so that the management level of the integrated power subsystem is improved.
It should be noted that the above embodiments are only for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that the technical solution of the present invention may be modified or substituted without departing from the spirit and scope of the technical solution of the present invention, which is intended to be covered in the scope of the claims of the present invention.
Claims (7)
1. Intelligent integrated power distribution system based on analytical model operation, its characterized in that, intelligent integrated power distribution system includes following part: the system comprises an alternating current power supply subsystem, a direct current power supply subsystem, an alternating current uninterruptible power supply subsystem, an inverter power supply subsystem, a direct current converter subsystem for communication, a storage battery pack, a master monitoring unit, an analysis model operation unit and a group of corresponding electric quantity storage pools; the analysis model operation unit acquires analysis power distribution results of all the power supply systems to be supplied and then sends the analysis power distribution results to the master monitoring unit, and the master monitoring unit controls all the subsystems to distribute electric quantity of all the power supply systems and sends the electric quantity after power distribution to the corresponding electric quantity storage pool;
the analysis model operation unit specifically comprises the following components:
the monitoring sensor acquires state parameters of the corresponding power supply system through a current sensor arranged at the current input end of each power supply system;
The early loss acquisition unit is embedded in the big data storage end and used for acquiring a historical loss value of a corresponding power supply system stored in the storage end in advance;
The pre-distribution unit is in wireless data connection with the early loss acquisition unit, establishes a pre-distribution model after acquiring the historical loss value, outputs a pre-distribution processing value, and the intelligent integrated power distribution system distributes electric quantity according to the pre-distribution processing value and conveys the electric quantity after distribution to a corresponding electric quantity storage pool;
the power transmission unit is electrically connected with the electric quantity storage pool for storing the power distribution electric quantity in advance, and completes power transmission work when a corresponding power supply system is required to work;
the pre-distribution model is specifically built by the following steps:
；
Wherein η i is the pre-distribution processing value of the ith power supply system, X i is the historical loss value of the ith power supply system in a preset time, X Total (S) is the historical loss values of all the power supply systems in the preset time, X n is the historical loss value of the nth power supply system in the preset time, n is the number of the power supply systems, and 1.207 is an analog constant;
The intelligent integrated power distribution system adopts the following formula when distributing electric quantity according to the pre-distribution processing value:
；
L i is the electric quantity distributed by the ith power supply system, L Total (S) is the total electric quantity generated by the intelligent integrated power distribution system within a preset time, and eta i is the pre-distribution treatment value of the ith power supply system.
2. The intelligent integrated power distribution system based on analytical model operations of claim 1, wherein: the power transmission unit is embedded with an instant adjustment unit, the instant adjustment unit is connected with the configured current sensor data signals to obtain real-time current signals, a power supply system is started, a current-time curve is obtained in preset time, a power transmission pre-adjustment model is built, an adjustment constant is output, the pre-distribution processing value is adjusted according to the adjustment constant, and electric quantity distribution in the next pre-distribution process is obtained according to the adjusted pre-distribution processing value.
3. The intelligent integrated power distribution system based on analytical model operations of claim 2, wherein: when the current-time curve is constructed, real-time current in preset time is selected as an ordinate, corresponding time is selected as an abscissa, each reference point is obtained, and each point is connected with a smooth curve to form the current-time curve.
4. The intelligent integrated power distribution system based on analytical model operations of claim 3, wherein: the preset time is selected to be 60 minutes.
5. The intelligent integrated power distribution system based on analytical model operations of claim 4, wherein: obtaining the current-time curve, comparing the historical current-historical time curve which is stored in the storage end in advance in the same preset time, and obtaining the difference parameter: maximum value difference alpha, minimum value difference beta, variance difference gamma and floating parameter difference delta obtained by each reference point;
The formula for acquiring the floating parameter difference delta specifically comprises the following steps:
；
wherein δ is the floating parameter difference, a 1 is the current value of the first reference point in the current-time curve, a m is the current value of the m-th reference point in the current-time curve, a 1 'is the current value of the first reference point in the historical current-historical time curve, a m' is the current value of the m-th reference point in the historical current-historical time curve, and m is the number of reference points.
6. The intelligent integrated power distribution system based on analytical model operation according to claim 5, wherein the constructed power transmission pre-adjustment model is specifically:
；
wherein, κ is the adjustment constant, α is the maximum difference, β is the minimum difference, γ is the variance difference, δ is the floating parameter difference, and 1.013 is the simulation constant.
7. The intelligent integrated power distribution system based on analytical model operation according to claim 6, wherein the adjustment of the pre-distribution process value according to the adjustment constant is performed with reference to the following model:
；
Wherein η i' is the adjusted pre-distribution processed value of the i-th power supply system, η i is the pre-distribution processed value of the i-th power supply system, κ is the corresponding adjustment constant, and-1.66 is an analog constant.
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