CN116316886A - Shared energy storage method for distributed photovoltaic clusters - Google Patents
Shared energy storage method for distributed photovoltaic clusters Download PDFInfo
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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
- H02J3/00—Circuit arrangements for AC mains or AC distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
- H02J3/466—Scheduling the operation of the generators, e.g. connecting or disconnecting generators to meet a given demand
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- H02J13/1331—
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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
- H02J3/00—Circuit arrangements for AC mains or AC distribution networks
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
- H02J3/32—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
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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
- H02J3/00—Circuit arrangements for AC mains or AC distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
- H02J3/48—Controlling the sharing of the in-phase component
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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
- 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
- H02J9/062—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 for AC powered loads
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- H02J2101/24—
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- H02J2101/28—
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Abstract
本发明涉及共享储能领域，具体是一种用于分布式光伏集群的共享储能方法，所述方法通过传感器获取分布光伏集群中各并网点的电气量参数信息数据和非电气量参数信息数据，将采集的参数信息数据传输给台区智能融合终端进行处理，根据历史气象信息数据、光辐射度和有功功率生成矩阵进行处理，得到处理结果，根据处理结果将分布式光伏集群进行分类，并建立共享储能单元，将所分类的分布式光伏集群根据历史气象信息数据判断是否使用共享储能单元；根据获得分布光伏设备并网点的光辐射度和有功功率的变化均值，建立判断函数，根据判断函数将多个分布式光伏设备进行识别分类，从而判断是否使用共享储能单元。
The present invention relates to the field of shared energy storage, in particular to a shared energy storage method for distributed photovoltaic clusters. The method acquires electrical quantity parameter information data and non-electrical quantity parameter information data of each grid-connected point in the distributed photovoltaic cluster through sensors , transmit the collected parameter information data to the intelligent fusion terminal in the station area for processing, process according to the historical meteorological information data, optical radiance and active power generation matrix, obtain the processing results, classify the distributed photovoltaic clusters according to the processing results, and Establish a shared energy storage unit, and judge whether to use the shared energy storage unit according to the historical meteorological information data of the classified distributed photovoltaic clusters; establish a judgment function based on the average value of the light radiance and active power changes of the grid-connected points of the distributed photovoltaic equipment. The judgment function identifies and classifies multiple distributed photovoltaic devices, so as to judge whether to use the shared energy storage unit.
Description
Technical Field
The invention relates to the field of shared energy storage, in particular to a shared energy storage method for a distributed photovoltaic cluster.
Background
In the long-term development of the distributed photovoltaic market, the energy storage is urgently needed to be held, and the energy storage is configured in various places or by forcing or encouraging photovoltaic projects, but multiple obstacles still exist on a 'distributed photovoltaic+energy storage' path;
as is well known, photovoltaic power generation is a process of converting solar energy into electric energy, is easily influenced by environmental factors such as solar radiation intensity, temperature and the like, has the characteristics of fluctuation, intermittence, instability and the like, and is a dilemma that a power grid is often overloaded to supply power or a user is in no electricity availability when the power grid is in a large-area power failure during a power utilization peak period, so that in order to solve the problem, a shared energy storage method for a distributed photovoltaic cluster is provided.
Disclosure of Invention
The invention aims to provide a shared energy storage method for a distributed photovoltaic cluster;
the aim of the invention can be achieved by the following technical scheme: a shared energy storage method for a distributed photovoltaic cluster, the method comprising:
step one: acquiring electrical quantity parameter information data and non-electrical quantity parameter information data of each grid-connected point in the distributed photovoltaic cluster through a sensor;
step two: transmitting the acquired parameter information data to a platform intelligent fusion terminal for processing to obtain historical meteorological information data, light radiance and active power processing results;
step three: classifying the distributed photovoltaic clusters according to the processing result, and establishing a shared energy storage unit;
step four: and judging whether the classified distributed photovoltaic clusters use the shared energy storage unit according to the historical meteorological information data.
Further, the process of obtaining the electrical quantity parameter information data and the non-electrical quantity parameter information data of each grid-connected point in the distributed photovoltaic cluster through the sensor comprises the following steps:
the obtained electric quantity parameter information data comprise voltage, current, power and capacitance;
the obtaining non-electrical quantity parameter information data includes temperature, optical radiation, momentum flux, wind speed, and humidity.
Further, the process of transmitting the collected parameter information data to the intelligent fusion terminal for processing comprises the following steps:
extracting historical non-electrical parameter information data of the grid-connected point of the distributed photovoltaic equipment to obtain historical meteorological information data of the grid-connected point;
extracting light radiance data and active power data of grid-connected points corresponding to historical meteorological information data, and establishing a light radiance matrix and an active power matrix;
establishing an optical radiance matrix and an active power matrix:
wherein F represents the light emittance value, F k,j The light radiation degree of the grid connection point of the jth distributed photovoltaic equipment at the kth sampling moment is represented, P represents the active power value and P k,j Representing the active power value of the grid-connected point of the jth distributed photovoltaic equipment at the kth sampling moment;
according to the light radiance matrix and the active power matrix, calculating the change average value of the light radiance and the active power of grid connection points of the distributed photovoltaic equipment as follows
Carrying out normalization processing on the historical weather information data to obtain a change mean value of the historical weather information data;
normalizing the historical meteorological information data values:
wherein R represents the actual measured value of the current point of presence parameter information data, R min Representing the minimum value of the current point-of-sale parameter information data, r max Representing the maximum value of the current network connection point parameter information data;
and obtaining the change average value of the light radiation degree and the active power of grid connection points of the distributed photovoltaic equipment according to the light radiation degree matrix and the active power matrix.
Further, a judging function is established according to the light radiation degree and the active power change mean value, and a plurality of distributed photovoltaic clusters are identified and classified according to the judging function;
inputting the data into a support vector machine classifier, establishing a judging function of the support vector machine classifier, and identifying a plurality of distributed photovoltaic devices according to the judging function, wherein the judging function is as follows:
ΔF k,j ·ΔT k,j > 0..........................................., equation 1;
wherein mu 1 Sum mu 2 Weight coefficients, delta, of optical emittance and active power respectively F，k J is the element of ΔF in the matrix, ΔT k,j Is an element of Δt in the matrix.
Further, the process of identifying and classifying the distributed photovoltaic clusters and establishing the shared energy storage unit comprises the following steps of;
the multiple distributed photovoltaic clusters are identified and classified into four different distributed photovoltaic clusters according to the judging function;
the four different distributed photovoltaic clusters are:
when formula 1 and formula 2 are satisfied at the same time, they are divided into distributed photovoltaic clusters L 1 ；
Satisfying equation 1, and not satisfying equation 2, dividing it into distributed photovoltaic clusters L 2 ；
Satisfying equation 2, if equation 1 is not satisfied, dividing it into distributed photovoltaic clusters L 3 ；
If equation 1 and equation 2 are not satisfied, it is divided into distributed photovoltaic clusters L 4 ；
Establishing a shared energy storage unit in the classified distributed photovoltaic clusters;
the shared energy storage unit stores a large amount of energy, and the stored energy is used for providing energy requirements when the classified distributed photovoltaic clusters are subjected to weather influences and cannot meet the power supply requirements.
Further, the process of determining whether to use the shared energy storage unit based on the historical meteorological information data for the classified distributed photovoltaic clusters includes:
setting a threshold range of historical meteorological information data, comparing the change mean value of the historical meteorological information data of each distributed photovoltaic cluster with the threshold range, and judging whether a shared energy storage unit is used or not:
if the change mean value of the historical meteorological information data of the distributed photovoltaic cluster is within the threshold range, the shared energy storage unit is not required to be started;
if the change mean value of the historical meteorological information data of the distributed photovoltaic cluster is not within the threshold value range, the shared energy storage unit needs to be started.
Compared with the prior art, the invention has the beneficial effects that: the distributed photovoltaic clusters are classified according to the light radiance and the change mean value of active power, the shared energy storage units are established, whether the shared energy storage units are used or not is judged according to the change mean value of historical weather information data, the shared energy storage units are preferentially used by the plurality of divided distributed photovoltaic clusters according to the difference of the change mean value of the historical weather information data, the shared energy storage units can be orderly used, the shared energy storage units can be started to provide energy when power is cut off, and the dilemma of no electricity availability is avoided.
Drawings
Fig. 1 is a schematic diagram of the present invention.
Detailed Description
As shown in fig. 1, a shared energy storage method for a distributed photovoltaic cluster, the method comprising:
step one: acquiring electrical quantity parameter information data and non-electrical quantity parameter information data of each grid-connected point in the distributed photovoltaic cluster through a sensor;
the distributed photovoltaic cluster comprises a plurality of photovoltaic devices, wherein the photovoltaic devices are directly or indirectly electrically connected with grid-connected points, and the grid-connected points are boost-to-high-voltage side buses connected with the photovoltaic devices;
the electrical quantity parameter information data comprises voltage, current, power and capacitance;
the non-electrical quantity parameter information data comprises temperature, optical radiation, momentum flux, wind speed and humidity;
the electric quantity parameter information data are obtained by detecting grid connection points in the distributed photovoltaic clusters in real time through an intelligent circuit breaker, wherein the intelligent circuit breaker is provided with a Hall current sensor, and current waveforms of the grid connection points are acquired by installing the Hall current sensor in the intelligent circuit breaker;
the non-electrical parameter information data are obtained by monitoring the position information and the power network topology information of the photovoltaic equipment;
collecting the above parameter information also requires that the sensor comprises: the device comprises a temperature and humidity sensor and an optical radiation sensor which are arranged on photovoltaic power generation equipment, a wind speed sensor and a wind direction sensor which are arranged on wind power generation equipment, an electric quantity sensor which is arranged on an energy storage battery, and an electric quantity sensor, a current sensor and a voltage sensor which are arranged on the energy storage battery;
the electrical quantity parameter information data and the non-electrical quantity parameter information data of each grid-connected point in the distributed photovoltaic cluster are obtained, so that a theoretical basis is provided for subsequent partition calculation;
by detecting the non-electrical quantity parameters, the loss of the electric energy in the long-distance line transmission is considered, and the subsequent division of the distributed photovoltaic clusters is more targeted;
it should be further noted that in the specific implementation process, each distributed photovoltaic power generation has an operation state and has self-choosing capability, and the operation states include power generation, energy storage, emergency start-up and emergency shutdown;
each distributed photovoltaic has the capability of interacting with information data of adjacent distributed photovoltaic units;
step two: transmitting the acquired parameter information data of each grid-connected point in the distributed photovoltaic cluster to a platform area intelligent fusion terminal for processing;
extracting output voltage and output current of grid-connected points of the distributed photovoltaic equipment, and outputting voltage and output current of inverters of the grid-connected points of the photovoltaic equipment in all the distributed photovoltaic equipment, wherein the power and current values of the grid-connected points of the distributed photovoltaic equipment are obtained;
extracting historical non-electrical quantity parameter information data of the grid-connected point of the distributed photovoltaic equipment, and obtaining historical meteorological information data of the grid-connected point according to the historical non-electrical quantity parameter information data;
the inverter is an energy storage core of the photovoltaic;
it should be further described that, in the specific implementation process, the distributed photovoltaic power generation is a process of converting solar energy into electric energy, which is easily affected by solar radiation intensity, temperature and humidity weather, on the other hand, during the peak period of electricity consumption, the power grid is often overloaded to supply power, or when the power grid is in a power failure in a large area, so that a user is in a dilemma of no electricity availability, therefore, the distributed photovoltaic device grid connection points are classified according to the historical weather information data value of the distributed photovoltaic device grid connection points;
normalizing the historical meteorological information data values:
wherein R represents the actual measured value of the current point of presence parameter information data, R min Representing the minimum value of the current point-of-sale parameter information data, r max Parameter information representing current point of connectionMaximum value of the information data;
establishing a sequence value for the historical meteorological information data value of each grid-connected point after normalization processing, and primarily dividing the distributed photovoltaic clusters by using a support vector machine classifier by adopting a method to obtain an initial cluster division result;
collecting light radiation degree corresponding to grid connection points corresponding to historical meteorological information data and active power data of the grid connection points, and establishing a light radiation degree matrix and an active power matrix:
wherein F represents the light emittance value, F k,j The light radiation degree of the grid connection point of the jth distributed photovoltaic equipment at the kth sampling moment is represented, P represents the active power value and P k,j Representing the active power value of the grid-connected point of the jth distributed photovoltaic equipment at the kth sampling moment;
in the implementation process, the change trend of the light radiation degree and the active power of the grid connection points of the distributed photovoltaic equipment influences the energy storage of the distributed photovoltaic equipment;
according to the light radiance matrix and the active power matrix, calculating the change average value of the light radiance and the active power of grid connection points of the distributed photovoltaic equipment as follows
Inputting the data into a support vector machine classifier, establishing a judging function of the support vector machine classifier, and identifying a plurality of distributed photovoltaic devices according to the judging function, wherein the judging function is as follows:
ΔF k,j ·ΔT k,j > 0..........................................., equation 1;
wherein mu 1 Sum mu 2 Weight coefficients, delta, of optical emittance and active power respectively F，k J is the element of ΔF in the matrix, ΔT k,j Is an element of Δt in the matrix.
Step three: classifying a plurality of distributed photovoltaics according to a formula 1 and a formula 2, and self-organizing grid-connected points of the same type to form a network;
when formula 1 and formula 2 are satisfied at the same time, they are divided into distributed photovoltaic clusters L 1 ；
Satisfying equation 1, and not satisfying equation 2, dividing it into distributed photovoltaic clusters L 2 ；
Satisfying equation 2, if equation 1 is not satisfied, dividing it into distributed photovoltaic clusters L 3 ；
If equation 1 and equation 2 are not satisfied, it is divided into distributed photovoltaic clusters L 4 ；
It should be further described that, in the specific implementation process, the same distributed photovoltaic device classifies the division results of the distributed photovoltaic clusters multiple times, the division results of the distributed photovoltaic clusters are classified into one type, and the cluster results after the initial cluster division can be expressed as: { L 1 ，L 2 ，L 3 ，L 4 }；
Establishing a shared energy storage unit in the classified distributed photovoltaic clusters;
the shared energy storage unit stores a large amount of energy storage, and the stored energy storage is used for storing energy when overload power supply occurs to the classified distributed photovoltaic clusters or the classified distributed photovoltaic clusters are subjected to meteorological influence and cannot meet the power supply requirement.
Step four: the classified distributed photovoltaic clusters judge whether to use the energy storage of the shared energy storage unit according to the historical meteorological information data;
the distributed photovoltaic clusters divided into one type are automatically organized to form a network, the network is connected with a shared energy storage unit, and the formed network and the shared energy storage unit are in wireless communication through a 5G slice, so that energy storage sharing of the distributed photovoltaic clusters is performed;
setting a historical meteorological information data threshold Q, and obtaining historical meteorological information data of each divided distributed photovoltaic cluster according to calculation;
wherein, obtain distributed photovoltaic cluster L 1 The change mean value of the historical weather information data is
Obtaining a distributed photovoltaic cluster L 2 The historical weather information data values of (1) are all +.>
Obtaining a distributed photovoltaic cluster L 3 The historical weather information data values of (1) are all +.>
Obtaining a distributed photovoltaic cluster L 4 The mean value of the change of the historical weather information data is +.>
Comparing the energy storage unit with a historical meteorological information data threshold range, and judging whether each divided distributed photovoltaic cluster uses energy storage of a shared energy storage unit or not:
if the change mean value of the historical meteorological information data of the distributed photovoltaic cluster is within the threshold range, the shared energy storage unit is not required to be started;
if the change mean value of the historical meteorological information data of the distributed photovoltaic cluster is not in the threshold range, the shared energy storage unit is required to be started;
it should be further noted that, in the implementation process, when more than one type of distributed photovoltaic clusters of the shared energy storage unit needs to be started, the shared energy storage unit needs to consider priority, when
And->
If they are not within the threshold value, it is necessary to determine +.>
And->
The magnitude of the mean value:
if it is
Then->
Corresponding distributed photovoltaic clusters L 1 The shared energy storage unit is started preferentially, and the energy of the shared energy storage unit is used preferentially;
if it is
Then->
Corresponding distributed photovoltaic clusters L 1 Preferentially starting shared energy storage unit and waiting for distributed photovoltaic cluster L 1 After completion of use, the distributed photovoltaic cluster L 2 The method can start the shared energy storage unit to use energy, the next distributed photovoltaic cluster is used after the previous distributed photovoltaic cluster is finished, and the distributed photovoltaic clusters cannot be used together;
if it is
Then->
And->
Corresponding distributed photovoltaic clusters L 1 And distributed photovoltaic clusters L 2 The shared energy storage units may be co-turned on, using the energy stored by the shared energy storage units.
Working principle: and acquiring electrical quantity parameter information data and non-electrical quantity parameter information data of each grid-connected point in the distributed photovoltaic clusters through a sensor, extracting historical weather information data, light radiance and active power, transmitting the historical weather information data, the light radiance and the active power to a platform intelligent fusion terminal for processing, classifying the distributed photovoltaic clusters according to the change mean value of the light radiance and the active power, establishing a shared energy storage unit, and judging whether the shared energy storage unit is used or not according to the change mean value of the historical weather information data.
The above embodiments are only for illustrating the technical method of the present invention and not for limiting the same, and it should be understood by those skilled in the art that the technical method of the present invention may be modified or substituted without departing from the spirit and scope of the technical method of the present invention.
Claims (6)
1. A shared energy storage method for a distributed photovoltaic cluster, the method comprising:
step one: acquiring electrical quantity parameter information data and non-electrical quantity parameter information data of each grid-connected point in the distributed photovoltaic cluster through a sensor;
step two: transmitting the acquired parameter information data to a platform intelligent fusion terminal for processing to obtain historical meteorological information data, light radiance and active power processing results;
step three: classifying the distributed photovoltaic clusters according to the processing result, and establishing a shared energy storage unit;
step four: and judging whether the classified distributed photovoltaic clusters use the shared energy storage unit according to the historical meteorological information data.
2. The shared energy storage method for distributed photovoltaic clusters according to claim 1, wherein the electrical quantity parameter information data comprises voltage, current, power and capacitance, and the non-electrical quantity parameter information data comprises temperature, light radiation, momentum flux, wind speed and humidity.
3. The shared energy storage method for a distributed photovoltaic cluster according to claim 2, wherein the process of processing the collected parameter information data by the intelligent fusion terminal comprises the following steps:
extracting historical non-electrical parameter information data of the grid-connected point of the distributed photovoltaic equipment to obtain historical meteorological information data of the grid-connected point;
extracting light radiance data and active power data of grid-connected points corresponding to historical meteorological information data, and establishing a light radiance matrix and an active power matrix;
carrying out normalization processing on the historical weather information data to obtain a change mean value of the historical weather information data;
and obtaining the change average value of the light radiation degree and the active power of grid connection points of the distributed photovoltaic equipment according to the light radiation degree matrix and the active power matrix.
4. A shared energy storage method for distributed photovoltaic clusters according to claim 3, wherein a judgment function is established according to the light emittance and the active power variation mean value, and the plurality of distributed photovoltaic clusters are identified and classified according to the judgment function.
5. The method for shared energy storage of distributed photovoltaic clusters according to claim 4, wherein the process of identifying and classifying the distributed photovoltaic clusters and establishing the shared energy storage unit comprises;
the multiple distributed photovoltaic clusters are identified and classified into four different distributed photovoltaic clusters according to the judging function;
a shared energy storage unit is established in the categorized distributed photovoltaic clusters.
6. The method of claim 5, wherein determining whether the distributed photovoltaic clusters use the shared energy storage unit comprises:
setting a threshold range of historical meteorological information data, comparing the change mean value of the historical meteorological information data of each distributed photovoltaic cluster with the threshold range, and judging whether a shared energy storage unit is used or not:
if the change mean value of the historical meteorological information data of the distributed photovoltaic cluster is within the threshold range, the shared energy storage unit is not required to be started;
if the change mean value of the historical meteorological information data of the distributed photovoltaic cluster is not within the threshold value range, the shared energy storage unit needs to be started.
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| CN115714386A (en) * | 2022-11-28 | 2023-02-24 | 西南大学 | Post-accident power flow transfer optimization control method for power system with energy storage |
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| US20110238232A1 (en) * | 2010-03-29 | 2011-09-29 | Hitachi, Ltd. | Energy management system, energy management apparatus, and energy management method |
| CN112881857A (en) * | 2021-01-11 | 2021-06-01 | 华翔翔能科技股份有限公司 | Real-time perception power grid fault prevention system and method |
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