A cluster partitioning method and system suitable for distributed photovoltaic group control and group regulation

Abstract

The present disclosure provides a cluster division method and system suitable for distributed photovoltaic group control and group regulation, relating to the technical field of distributed photovoltaic cluster division, comprising obtaining distributed photovoltaic cluster power distribution network data, judging whether the obtained data meets the set requirements; if the set requirements are met, judging whether the cluster meets the requirements for hierarchical division according to voltage level, if not, judging whether the cluster meets the requirements for division according to spatial characteristics, under the premise of not meeting, judging whether the cluster meets the requirements for division according to electrical distance, for the cluster division that does not meet the requirements for electrical distance division, dividing again according to time characteristics, for the case that the cluster division does not meet the requirements for division according to voltage level, spatial characteristics, electrical distance and time characteristics in turn, considering division according to comprehensive performance, and performing distributed photovoltaic group control and group regulation according to the distributed photovoltaic cluster division result.

Description

Technical Field

[0001] This disclosure relates to the field of distributed photovoltaic cluster partitioning technology, specifically to a cluster partitioning method and system applicable to distributed photovoltaic group control and regulation. Background Technology

[0002] The statements in this section are merely background information relating to this disclosure and do not necessarily constitute prior art.

[0003] The rapid increase in the penetration of renewable energy into the power grid in recent years has led to a gradual increase in the proportion of distributed photovoltaic (PV) power. Large-scale distributed PV power generation connected to the grid has brought new challenges to the power system, especially in distribution networks in remote rural areas. With a large number of distributed PV systems connected to the distribution network, some areas have already seen penetration rates exceeding 100%, significantly impacting the safety and stability of the local power grid. In the distribution system, high-penetration distributed renewable energy generation raises questions about how to achieve group control and dispatch of distributed PV power, further improving the local absorption capacity of renewable energy.

[0004] In the prior art, patent CN116776178A, entitled "Method, Apparatus, Equipment and Medium for Cluster Partitioning in Distributed Photovoltaic Scenarios," discloses the following method: collecting photovoltaic power station data, including the capacity, location, tilt angle, and orientation of the photovoltaic panels; selecting feature parameters from the collected photovoltaic power station data as the basis for cluster partitioning, and calculating the sample vector of each station in the region based on the selected feature parameters; normalizing the sample vectors; obtaining clustering results using the expectation-maximum clustering algorithm; and partitioning the target cluster based on the obtained clustering results. This method preprocesses the photovoltaic power station data and then quickly and reliably calculates the clusters using the expectation-maximum algorithm, ensuring data reliability and accuracy during data preprocessing. However, this patent's distributed photovoltaic cluster partitioning method is based on distributed photovoltaic power station data and primarily uses the feature parameters of distributed photovoltaics as a reference for cluster partitioning. This method does not consider the grid structure of the distributed photovoltaic grid connection points, the operating status of high-voltage grids, and the relevant requirements for grid safety dispatching, which is detrimental to the dispatching and operation of distributed photovoltaics over a large area. Summary of the Invention

[0005] To address the aforementioned issues, this disclosure proposes a cluster partitioning method and system applicable to distributed photovoltaic (PV) group control and dispatch. It partitions distributed PV clusters from multiple dimensions, ensuring that the partitioned PV clusters have reasonable spatial dimensions, feasible grid connection schemes, reasonable operational architecture, and efficient control methods. This method is applicable to the group control and dispatch of distributed PV, serving the grid dispatch operation.

[0006] According to some embodiments, the present disclosure adopts the following technical solutions:

[0007] A cluster partitioning method suitable for distributed photovoltaic group control and dispatch includes:

[0008] Acquire data from the distributed photovoltaic cluster distribution network and determine whether the acquired data meets the set requirements;

[0009] If the set requirements are met, determine whether the cluster meets the requirement of being divided into layers according to voltage level. If not, determine whether the cluster meets the requirement of being divided according to spatial characteristics. If not, determine whether the cluster meets the requirement of being divided according to electrical distance. For clusters that do not meet the electrical distance requirement, divide them according to time characteristics. For cases where clusters do not meet the requirements of being divided according to voltage level, spatial characteristics, electrical distance, and time characteristics in turn, consider dividing them according to comprehensive performance. Based on the results of the distributed photovoltaic cluster division, perform distributed photovoltaic group control and group adjustment.

[0010] Furthermore, the distributed photovoltaic cluster distribution network data includes the grid connection voltage level, the geographical location of the distributed photovoltaic cluster, the name of the grid connection point, and the grid connection date.

[0011] Furthermore, the grid-connected voltage level of distributed photovoltaic power is obtained. For different voltage levels, clusters are divided from high voltage level to low voltage level. Distributed photovoltaic power at different voltage levels is grouped into a cluster. If the voltage level division conditions are met, the clusters are divided according to the voltage level. If they are not met, the clusters are divided according to spatial characteristics.

[0012] Furthermore, for clusters that do not meet the voltage level classification requirements, the classification is based on the geographical location of the distributed photovoltaic cluster and the spatial distance to the nearest grid connection point.

[0013] Furthermore, for cluster partitioning situations that do not meet the spatial characteristic partitioning requirements, cluster partitioning is carried out according to the electrical distance partitioning rules. The electrical distance is represented by calculating the coupling relationship between the photovoltaic grid connection point and other nodes. The greater the coupling relationship between nodes, the stronger the connection between nodes, and the smaller the electrical distance between the corresponding nodes.

[0014] Furthermore, for cluster division cases that do not meet the electrical distance requirements, cluster division is based on the construction and grid connection dates of distributed photovoltaic systems. A time interval is set as the division standard, and distributed photovoltaic stations that are built and connected to the grid within the set time interval are classified into one cluster.

[0015] Furthermore, for cases where the voltage level, spatial characteristics, electrical distance, and time characteristics are not met for cluster division, a comprehensive performance division method is considered, and distributed photovoltaic clusters are divided based on expert experience and active power balance.

[0016] According to some embodiments, the present disclosure adopts the following technical solutions:

[0017] A cluster partitioning system suitable for distributed photovoltaic group control and dispatch includes:

[0018] The data acquisition module is used to acquire data from the distributed photovoltaic cluster distribution network and determine whether the acquired data meets the set requirements.

[0019] The group control module is used to determine whether the cluster meets the requirements for hierarchical division according to voltage level if the set requirements are met. If not, it determines whether the cluster meets the requirements for division according to spatial characteristics. If not, it determines whether the cluster meets the requirements for division according to electrical distance. For clusters that do not meet the electrical distance division requirements, they are then divided according to time characteristics. For cases where clusters do not meet the requirements for division according to voltage level, spatial characteristics, electrical distance, and time characteristics in turn, they are considered to be divided according to comprehensive performance. Based on the distributed photovoltaic cluster division results, distributed photovoltaic group control and group adjustment are performed.

[0020] According to some embodiments, the present disclosure adopts the following technical solutions:

[0021] A non-transitory computer-readable storage medium is provided for storing computer instructions, which, when executed by a processor, implement the cluster partitioning method applicable to distributed photovoltaic group control and regulation.

[0022] According to some embodiments, the present disclosure adopts the following technical solutions:

[0023] An electronic device includes a processor, a memory, and a computer program; wherein the processor is connected to the memory, the computer program is stored in the memory, and when the electronic device is running, the processor executes the computer program stored in the memory to enable the electronic device to implement the cluster partitioning method applicable to distributed photovoltaic group control and dispatch.

[0024] Compared with the prior art, the beneficial effects of this disclosure are as follows:

[0025] This disclosure provides a clustering method applicable to distributed photovoltaic (PV) group control and dispatch. It divides distributed PV into clusters from multiple dimensions, taking into account the geographical location of distributed PV, the capacity of the grid connection point (substation), the regional power grid structure and operation mode. This ensures that the spatial dimensions of the divided distributed PV clusters are reasonable, the grid connection scheme is feasible, the operation architecture is reasonable, and the control method is efficient. It can be applied to the group control and dispatch of distributed PV and serve the power grid dispatch operation.

[0026] By dividing distributed photovoltaic (PV) systems into clusters, we can effectively improve their absorption capacity, reduce grid operation safety risks, achieve more reasonable electrical distances, and achieve more balanced active power coordination. Attached Figure Description

[0027] The accompanying drawings, which form part of this disclosure, are used to provide a further understanding of this disclosure. The illustrative embodiments of this disclosure and their descriptions are used to explain this disclosure and do not constitute an undue limitation of this disclosure.

[0028] Figure 1 This is a flowchart illustrating the partitioning process of a distributed photovoltaic cluster according to an embodiment of this disclosure; Detailed Implementation

[0029] The present disclosure will be further described below with reference to the accompanying drawings and embodiments.

[0030] It should be noted that the following detailed descriptions are illustrative and intended to provide further explanation of this disclosure. Unless otherwise specified, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure pertains.

[0031] It should be noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the exemplary embodiments according to this disclosure. As used herein, the singular form is intended to include the plural form as well, unless the context clearly indicates otherwise. Furthermore, it should be understood that when the terms “comprising” and / or “including” are used in this specification, they indicate the presence of features, steps, operations, devices, components, and / or combinations thereof.

[0032] Example 1

[0033] One embodiment of this disclosure provides a cluster partitioning method suitable for distributed photovoltaic group control and dispatching, including:

[0034] Acquire data from the distributed photovoltaic cluster distribution network and determine whether the acquired data meets the set requirements;

[0035] If the set requirements are met, determine whether the cluster meets the requirement of being divided into layers according to voltage level. If not, determine whether the cluster meets the requirement of being divided according to spatial characteristics. If not, determine whether the cluster meets the requirement of being divided according to electrical distance. For clusters that do not meet the electrical distance requirement, divide them according to time characteristics. For cases where clusters do not meet the requirements of being divided according to voltage level, spatial characteristics, electrical distance, and time characteristics in turn, consider dividing them according to comprehensive performance. Based on the results of the distributed photovoltaic cluster division, perform distributed photovoltaic group control and group adjustment.

[0036] As one embodiment, the specific implementation process of a cluster partitioning method applicable to distributed photovoltaic group control and dispatching disclosed herein is as follows:

[0037] Step 1: Divide the data according to voltage level, from high voltage level (220kV) to low voltage level (380V) into clusters, and then divide the data into layers according to voltage level.

[0038] Collect relevant data information about distributed photovoltaic (PV) stations, including their spatial location, grid connection voltage level, grid connection point name, and grid connection date. Analyze and sort the information to determine if it meets the requirements. If the information does not meet the requirements, it needs to be collected again. Once it is confirmed that the distributed PV information meets the division requirements, cluster division is carried out according to the rules.

[0039] Based on the distributed photovoltaic grid connection ledger, the grid connection voltage level of distributed photovoltaic is obtained. For different voltage levels, the current grid control methods are different. For example, distributed photovoltaic connected to the grid at 10kV is generally directly managed and controlled through dispatching, and managed through unified dispatching rules. Therefore, it is more convenient to classify distributed photovoltaic at this voltage level into a cluster. If the voltage level division conditions are met, the division is carried out according to the voltage level. If they are not met, the division is carried out according to spatial characteristics.

[0040] Step 2: Divide according to spatial characteristics. Considering the geographical location of distributed photovoltaics, divide the nearby distributed photovoltaics into clusters within a radius of 300m.

[0041] For clusters that do not meet the voltage level classification requirements, the geographical location of the distributed photovoltaic (PV) construction and the spatial distance to the nearest grid connection point can be used as the basis for classification. For example, distributed PV in the same village or community, where the grid connection point is in the same transformer area and the output curves of each PV are similar, are conducive to the group control and regulation of distributed PV and can be classified as a cluster. If the classification is based on spatial characteristics, then it should be classified according to spatial characteristics; otherwise, it should be classified according to electrical distance.

[0042] Step 3: Divide the distributed photovoltaic power generation into clusters based on electrical distance, taking into account the electrical distance of the power grid to which the distributed photovoltaic power generation belongs. This method of dividing the clusters by electrical distance is more reasonable.

[0043] For cluster partitioning that does not meet the spatial characteristic requirements, cluster partitioning is performed according to the electrical distance partitioning rule. Electrical distance is mainly represented by calculating the coupling relationship between the photovoltaic grid-connected point and other nodes, as shown in Formula 4-1. After calculation, the larger aij is, the stronger the connection between nodes i and j. Since the distance between two points and the connection are inverse parameters, the smaller the corresponding electrical distance value between nodes, the better. If partitioning according to electrical distance is satisfied, then cluster partitioning is performed according to electrical distance; otherwise, partitioning is performed according to time characteristics.

[0044]

[0045] in:

[0046] a ij , representing the coupling relationship between nodes i and j;

[0047] ΔV i ΔV j This represents the voltage amplitude change at the corresponding node;

[0048] ΔQ j This represents the change in reactive power at point j;

[0049] Step 4: Divide according to time characteristics. Since the efficiency and adjustability of distributed photovoltaic power generation gradually decrease with the grid connection time, distributed photovoltaic power generation with similar grid connection time is divided into the same cluster.

[0050] For cluster division situations that do not meet the electrical distance requirements, cluster division should be based on the construction and grid connection dates of distributed photovoltaic (PV) systems. For example, in the same area, there are distributed PV stations built and connected to the grid in different years. Newly built distributed PV stations have stronger adjustability and controllability compared to those built more than 3 years ago. Therefore, 3 years can be used as the division basis, and the current year can be used as the benchmark to classify distributed PV stations built and connected to the grid within the past three years into one cluster. If the division based on time characteristics is met, then the division should be based on time characteristics. If it is not met, then the division should be based on comprehensive performance.

[0051] Step 5: Divide the clusters according to overall performance. If none of the above four methods can yield a reasonable cluster partitioning result, then you can consider relying on overall performance partitioning and expert experience weighting to partition the distributed clusters.

[0052] For cases where the voltage level, spatial characteristics, electrical distance, and time characteristics do not meet the criteria for cluster division, a comprehensive performance-based division method can be considered. This method is mainly supported by expert experience and relevant calculations and analyses to obtain reasonable distributed photovoltaic cluster division results. The active power balance is the main reference, which is obtained by formulas 2 and (3).

[0053]

[0054] in:

[0055] Pc k For the cth k The active power balance index of each cluster;

[0056] T represents the duration of a typical time-varying scenario;

[0057] P clu (t)c k For the cth k Net power value of each cluster at time t;

[0058] Max() is a function that finds the maximum value.

[0059]

[0060] in:

[0061] The active power balance index for the defined cluster;

[0062] c represents the total number of clusters;

[0063] c k This refers to the k-th cluster in the cluster.

[0064] Step 6: Complete the distributed cluster division according to the above cluster division scheme, thereby supporting the operation of distributed photovoltaic group dispatch and control and maximizing the consumption of distributed photovoltaic power.

[0065] Determine if the cluster partitioning meets the requirements for group adjustment and control.

[0066] Based on the cluster partitioning results, the feasibility of distributed group adjustment and control is verified. If the group adjustment and control requirements are met, the cluster method is followed. If the requirements are not met, the cluster is re-partitioned until a suitable cluster partitioning result is obtained.

[0067] Implement distributed photovoltaic cluster control and dispatching.

[0068] Based on the results of the distributed photovoltaic cluster division, distributed photovoltaic group control and regulation work is carried out.

[0069] Implementation 2

[0070] One embodiment of this disclosure provides a cluster partitioning system suitable for distributed photovoltaic group control and dispatch, including:

[0071] The data acquisition module is used to acquire data from the distributed photovoltaic cluster distribution network and determine whether the acquired data meets the set requirements.

[0072] The group control module is used to determine whether the cluster meets the requirements for hierarchical division according to voltage level if the set requirements are met. If not, it determines whether the cluster meets the requirements for division according to spatial characteristics. If not, it determines whether the cluster meets the requirements for division according to electrical distance. For clusters that do not meet the electrical distance division requirements, they are then divided according to time characteristics. For cases where clusters do not meet the requirements for division according to voltage level, spatial characteristics, electrical distance, and time characteristics in turn, they are considered to be divided according to comprehensive performance. Based on the distributed photovoltaic cluster division results, distributed photovoltaic group control and group adjustment are performed.

[0073] As one embodiment, the specific implementation process of a cluster partitioning system applicable to distributed photovoltaic group control and dispatching disclosed herein is as follows:

[0074] Step 1: Divide the data according to voltage level, from high voltage level (220kV) to low voltage level (380V) into clusters, and then divide the data into layers according to voltage level.

[0075] Collect relevant data information about distributed photovoltaic (PV) stations, including their spatial location, grid connection voltage level, grid connection point name, and grid connection date. Analyze and sort the information to determine if it meets the requirements. If the information does not meet the requirements, it needs to be collected again. Once it is confirmed that the distributed PV information meets the division requirements, cluster division is carried out according to the rules.

[0076] Based on the distributed photovoltaic grid connection ledger, the grid connection voltage level of distributed photovoltaic is obtained. For different voltage levels, the current grid control methods are different. For example, distributed photovoltaic connected to the grid at 10kV is generally directly managed and controlled through dispatching, and managed through unified dispatching rules. Therefore, it is more convenient to classify distributed photovoltaic at this voltage level into a cluster. If the voltage level division conditions are met, the division is carried out according to the voltage level. If they are not met, the division is carried out according to spatial characteristics.

[0077] Step 2: Divide according to spatial characteristics. Considering the geographical location of distributed photovoltaics, divide the nearby distributed photovoltaics into clusters within a radius of 300m.

[0078] For clusters that do not meet the voltage level classification requirements, the geographical location of the distributed photovoltaic (PV) construction and the spatial distance to the nearest grid connection point can be used as the basis for classification. For example, distributed PV in the same village or community, where the grid connection point is in the same transformer area and the output curves of each PV are similar, are conducive to the group control and regulation of distributed PV and can be classified as a cluster. If the classification is based on spatial characteristics, then it should be classified according to spatial characteristics; otherwise, it should be classified according to electrical distance.

[0079] Step 3: Divide the distributed photovoltaic power generation into clusters based on electrical distance, taking into account the electrical distance of the power grid to which the distributed photovoltaic power generation belongs. This method of dividing the clusters by electrical distance is more reasonable.

[0080] For cluster partitioning that does not meet the spatial characteristic requirements, cluster partitioning is performed according to the electrical distance partitioning rule. Electrical distance is mainly represented by calculating the coupling relationship between the photovoltaic grid-connected point and other nodes, as shown in Formula 4-1. After calculation, the larger aij is, the stronger the connection between nodes i and j. Since the distance between two points and the connection are inverse parameters, the smaller the corresponding electrical distance value between nodes, the better. If partitioning according to electrical distance is satisfied, then cluster partitioning is performed according to electrical distance; otherwise, partitioning is performed according to time characteristics.

[0081]

[0082] in:

[0083] a ij , representing the coupling relationship between nodes i and j;

[0084] ΔV i ΔV j This represents the voltage amplitude change at the corresponding node;

[0085] ΔQ j This represents the change in reactive power at point j;

[0086] Step 4: Divide according to time characteristics. Since the efficiency and adjustability of distributed photovoltaic power generation gradually decrease with the grid connection time, distributed photovoltaic power generation with similar grid connection time is divided into the same cluster.

[0087] For cluster division situations that do not meet the electrical distance requirements, cluster division should be based on the construction and grid connection dates of distributed photovoltaic (PV) systems. For example, in the same area, there are distributed PV stations built and connected to the grid in different years. Newly built distributed PV stations have stronger adjustability and controllability compared to those built more than 3 years ago. Therefore, 3 years can be used as the division basis, and the current year can be used as the benchmark to classify distributed PV stations built and connected to the grid within the past three years into one cluster. If the division based on time characteristics is met, then the division should be based on time characteristics. If it is not met, then the division should be based on comprehensive performance.

[0088] Step 5: Divide the clusters according to overall performance. If none of the above four methods can yield a reasonable cluster partitioning result, then you can consider relying on overall performance partitioning and expert experience weighting to partition the distributed clusters.

[0089] For cases where the voltage level, spatial characteristics, electrical distance, and time characteristics do not meet the criteria for cluster division, a comprehensive performance-based division method can be considered. This method is mainly supported by expert experience and relevant calculations and analyses to obtain reasonable distributed photovoltaic cluster division results. The active power balance is the main reference, which is obtained by formulas 2 and (3).

[0090]

[0091] in:

[0092] Pc k For the cth k The active power balance index of each cluster;

[0093] T represents the duration of a typical time-varying scenario;

[0094] P clu (t)c k For the cth k Net power value of each cluster at time t;

[0095] Max() is a function that finds the maximum value.

[0096]

[0097] in:

[0098] The active power balance index for the defined cluster;

[0099] c represents the total number of clusters;

[0100] c k This refers to the k-th cluster in the cluster.

[0101] Step 6: Complete the distributed cluster division according to the above cluster division scheme, thereby supporting the operation of distributed photovoltaic group dispatch and control and maximizing the consumption of distributed photovoltaic power.

[0102] Determine if the cluster partitioning meets the requirements for group adjustment and control.

[0103] Based on the cluster partitioning results, the feasibility of distributed group adjustment and control is verified. If the group adjustment and control requirements are met, the cluster method is followed. If the requirements are not met, the cluster is re-partitioned until a suitable cluster partitioning result is obtained.

[0104] Implement distributed photovoltaic cluster control and dispatching.

[0105] Based on the results of the distributed photovoltaic cluster division, distributed photovoltaic group control and regulation work is carried out.

[0106] Example 3

[0107] One embodiment of this disclosure provides a non-transitory computer-readable storage medium for storing computer instructions. When executed by a processor, these computer instructions implement a cluster partitioning method suitable for distributed photovoltaic group control and dispatching, including:

[0108] Acquire data from the distributed photovoltaic cluster distribution network and determine whether the acquired data meets the set requirements;

[0109] If the set requirements are met, determine whether the cluster meets the requirement of being divided into layers according to voltage level. If not, determine whether the cluster meets the requirement of being divided according to spatial characteristics. If not, determine whether the cluster meets the requirement of being divided according to electrical distance. For clusters that do not meet the electrical distance requirement, divide them according to time characteristics. For cases where clusters do not meet the requirements of being divided according to voltage level, spatial characteristics, electrical distance, and time characteristics in turn, consider dividing them according to comprehensive performance. Based on the results of the distributed photovoltaic cluster division, perform distributed photovoltaic group control and group adjustment.

[0110] Example 4

[0111] One embodiment of this disclosure provides an electronic device, including: a processor, a memory, and a computer program; wherein the processor is connected to the memory, and the computer program is stored in the memory. When the electronic device is running, the processor executes the computer program stored in the memory, so that the electronic device executes a cluster partitioning method suitable for distributed photovoltaic group control and dispatch, including:

[0112] Acquire data from the distributed photovoltaic cluster distribution network and determine whether the acquired data meets the set requirements;

[0113] If the set requirements are met, determine whether the cluster meets the requirement of being divided into layers according to voltage level. If not, determine whether the cluster meets the requirement of being divided according to spatial characteristics. If not, determine whether the cluster meets the requirement of being divided according to electrical distance. For clusters that do not meet the electrical distance requirement, divide them according to time characteristics. For cases where clusters do not meet the requirements of being divided according to voltage level, spatial characteristics, electrical distance, and time characteristics in turn, consider dividing them according to comprehensive performance. Based on the results of the distributed photovoltaic cluster division, perform distributed photovoltaic group control and group adjustment.

[0114] This disclosure is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this disclosure. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create a machine for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0115] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0116] While the specific embodiments of this disclosure have been described above in conjunction with the accompanying drawings, this is not intended to limit the scope of protection of this disclosure. Those skilled in the art should understand that various modifications or variations that can be made by those skilled in the art without creative effort based on the technical solutions of this disclosure are still within the scope of protection of this disclosure.

Claims

1. A cluster partitioning method suitable for distributed photovoltaic group control and dispatch, characterized in that, include: Acquire data from the distributed photovoltaic cluster distribution network and determine whether the acquired data meets the set requirements; If the set requirements are met, determine whether the distributed photovoltaic (PV) system meets the requirement of being stratified according to voltage level. If it does, classify the PV systems that meet the requirements according to voltage level. For distributed PV systems that do not meet the voltage level classification requirement, determine whether they meet the requirement of being classified according to spatial characteristics. If they do, classify the PV systems that meet the spatial characteristics. For distributed PV systems that still do not meet the spatial characteristics classification requirement, determine whether they meet the requirement of being classified according to electrical distance. If they do, classify the PV systems that meet the electrical distance classification requirement. For distributed PV systems that still do not meet the electrical distance classification requirement, determine whether they meet the requirement of being classified according to time characteristics. If they do, classify the PV systems that meet the time characteristics. For distributed photovoltaic systems that still do not meet the time-characteristic classification requirements, they are classified according to their comprehensive performance; based on the results of the distributed photovoltaic cluster classification, distributed photovoltaic group control and regulation are carried out.

2. The cluster partitioning method applicable to distributed photovoltaic group control and dispatch as described in claim 1, characterized in that, The data for distributed photovoltaic (PV) cluster distribution networks includes grid connection voltage level, geographical location of the distributed PV cluster, name of the grid connection point, and grid connection date.

3. The cluster partitioning method applicable to distributed photovoltaic group control and dispatch as described in claim 1, characterized in that, Obtain the grid-connected voltage level of distributed photovoltaic (PV) systems. For different voltage levels, divide the distributed PV systems into clusters from high voltage level to low voltage level. If the voltage level division conditions are met, the clusters are divided according to the voltage level; otherwise, they are divided according to spatial characteristics.

4. The cluster partitioning method applicable to distributed photovoltaic group control and dispatch as described in claim 1, characterized in that, For clusters that do not meet the voltage level classification requirements, the classification is based on the geographical location of the distributed photovoltaic cluster and the spatial distance to the nearest grid connection point.

5. The cluster partitioning method applicable to distributed photovoltaic group control and dispatch as described in claim 1, characterized in that, For cluster partitioning situations that do not meet the spatial characteristic partitioning requirements, cluster partitioning is carried out according to the electrical distance partitioning rules. The electrical distance is represented by calculating the coupling relationship between the photovoltaic grid connection point and other nodes. The greater the coupling relationship between nodes, the stronger the connection between nodes, and the smaller the electrical distance between the corresponding nodes.

6. The cluster partitioning method applicable to distributed photovoltaic group control and dispatch as described in claim 1, characterized in that, For cluster division cases that do not meet the electrical distance requirements, cluster division is based on the construction and grid connection dates of distributed photovoltaic systems. A time interval is set as the division standard, and distributed photovoltaic stations that are built and connected to the grid within the set time interval are classified into one cluster.

7. A cluster partitioning method applicable to distributed photovoltaic group control and dispatch as described in claim 1, characterized in that, For cases where the voltage level, spatial characteristics, electrical distance, and time characteristics are not met for cluster division, a comprehensive performance division method should be considered, and distributed photovoltaic clusters should be divided based on expert experience and active power balance.

8. A cluster partitioning system suitable for distributed photovoltaic group control and dispatch, characterized in that, include: The data acquisition module is used to acquire data from the distributed photovoltaic cluster distribution network and determine whether the acquired data meets the set requirements. The group control module is divided as follows: If the set requirements are met, it is determined whether the distributed photovoltaic (PV) system meets the requirement of hierarchical division according to voltage level. Distributed PV systems that meet the requirements are divided according to voltage level. For distributed PV systems that do not meet the voltage level division requirement, it is further determined whether they meet the requirement of division according to spatial characteristics. Distributed PV systems that meet the requirement of division according to spatial characteristics are divided according to spatial characteristics. For distributed PV systems that still do not meet the spatial characteristic division requirement, it is further determined whether they meet the requirement of division according to electrical distance. Distributed PV systems that meet the requirement of division according to electrical distance are divided according to electrical distance. For distributed PV systems that still do not meet the electrical distance division requirement, it is further determined whether they meet the requirement of division according to time characteristics. Distributed PV systems that meet the requirement of division according to time characteristics are divided according to time characteristics. For distributed photovoltaic systems that still do not meet the time-characteristic classification requirements, they are classified according to their comprehensive performance; based on the results of the distributed photovoltaic cluster classification, distributed photovoltaic group control and regulation are carried out.

9. A non-transitory computer-readable storage medium, characterized in that, The non-transitory computer-readable storage medium is used to store computer instructions, which, when executed by a processor, implement a cluster partitioning method applicable to distributed photovoltaic group control and regulation as described in any one of claims 1-7.

10. An electronic device, characterized in that, include: The device includes a processor, a memory, and a computer program; wherein the processor is connected to the memory, and the computer program is stored in the memory. When the electronic device is running, the processor executes the computer program stored in the memory to enable the electronic device to implement a cluster partitioning method for distributed photovoltaic group control and regulation as described in any one of claims 1-7.

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