Active distribution network voltage control method, system, device and storage medium

Abstract

The present invention discloses an active distribution network voltage control method, system, device and storage medium. The active distribution network voltage control method comprises: dividing n load nodes in the distribution system into N1 active sub-partitions and N2 reactive sub-partitions respectively; when the node voltage of the distribution system exceeds the limit due to the access of distributed power sources, respectively determining the M1 and M2 sub-partitions where the node voltage exceeds the limit in the N1 active sub-partitions and the N2 reactive sub-partitions; determining the control priority of each sub-partition in the M1 and M2 sub-partitions, and performing node voltage optimization control on the sub-partitions with higher priority in descending order of control priority. The present invention introduces the community structure partitioning algorithm in the modularity partitioning into the active distribution network node clustering partitioning, and solves the problems of the current traditional distribution network voltage control method having a complex calculation process and taking too long.

Description

Technical Field

[0001] The present invention belongs to the technical field of power grid voltage control, and in particular relates to an active power distribution network voltage control method, system, device and storage medium. Background Art

[0002] In recent years, with the continuous construction and improvement of my country's active distribution network (ADN), its scale and structure have become increasingly large and complex. At the same time, with the increasing penetration of distributed generation (DG) and flexible adjustment resources in the distribution network and the long-term operation of the distribution network, massive, heterogeneous, and multi-source historical data have accumulated in the power system database, significantly increasing the difficulty of large sample data analysis of voltage problems. This poses a new challenge to how to mine and extract effective information for the diagnosis and cause analysis of distribution network voltage problems from large sample data of the power system.

[0003] With the continuous development of the distribution network, the control capability of the DG installed in the system is difficult to take into account the operation range of the entire distribution network, and can only have a certain impact on the area around the DG installation node. If the voltage problem in the distribution network is still regulated from a global perspective, cumbersome calculations must be performed, which consumes a lot of time, and the optimization and management effect obtained is not satisfactory. Summary of the invention

[0004] The purpose of the present invention is to provide an active distribution network voltage control method, system, device and storage medium based on modularity partitioning, so as to solve the problems of complex calculation process and long time consumption of current traditional distribution network voltage control methods.

[0005] The present invention is implemented by adopting the following technical solutions:

[0006] A first aspect of the present invention is a method for controlling voltage of an active distribution network based on modularity partitioning, comprising the following steps:

[0007] Perform active and reactive module partitioning on n load nodes in the power distribution system, and divide the n load nodes into N1 active sub-partitions and N2 reactive sub-partitions, respectively, where each sub-partition contains at least one load node;

[0008] When the node voltage exceeds the limit due to the access of distributed generation, the M1 and M2 sub-divisions where the node voltage exceeds the limit are determined in the N1 active sub-divisions and the N2 reactive sub-divisions respectively;

[0009] Determine the control priority of each sub-partition in M1 and M2, and perform node voltage optimization control on sub-partitions with higher priorities in descending order of control priority, so as to adjust the node voltage of each load node in M1 and M2 sub-partitions to the normal voltage range.

[0010] Furthermore, the n load nodes are partitioned according to the community partitioning algorithm for active and reactive decoupling, and N1 active sub-partitions and N2 reactive sub-partitions with maximum modularity are obtained respectively.

[0011] Furthermore, the specific method of obtaining the sub-partition with the maximum modularity according to the community partition algorithm is as follows:

[0012] S11. Divide n load nodes one-to-one into n sub-partitions, and determine the n sub-partitions as the current partition set.

[0013] S12, according to the fusion rule of the community partitioning algorithm, all sub-partitions of the current partition set are fused in pairs, so as to fuse any two sub-partitions in the current partition set that meet the sub-partition fusion rule into the same sub-partition; wherein the sub-partition fusion rule is a rule that makes the new partition set obtained by merging the sub-partition to be fused with the target sub-partition have the maximum modularity, and the target sub-partition is a sub-partition among all the sub-partitions that have not been fused in pairs;

[0014] S13. Repeat step S12 until the modularity of the current partition set no longer increases, and accordingly obtain a partition set with the maximum modularity.

[0015] Furthermore, the maximum modularity of the community partitioning algorithm is obtained as follows:

[0016]

[0017]

[0018] Among them, ρ VP,im , VQ,im are respectively the improved active and reactive partition modularity functions; ρ VP represents the active partition modularity function of the traditional community partitioning algorithm; ρ VQ Reactive partition modularity function representing the traditional community partitioning algorithm; It is the reactive power balance index of the active power partition; It is the reactive power balance index of reactive power partition; The density of nodes in the active partition area; The density of nodes within a reactive partition.

[0019] Furthermore, for reactive power partitioning, the reactive power balance index is expressed as:

[0020]

[0021] In the formula, Q suppiled The reactive power that can be provided by all PV panels in the sub-area;

[0022] In the reactive sub-area, the minimum reactive demand is expressed as:

[0023]

[0024] Where ΔV i is the voltage increment of node i; S VQ,ij is the reactive voltage sensitivity of the jth PV unit to the ith node in the sub-area, where i represents the number of nodes in the grid;

[0025] For reactive power partitions, the density of nodes in the zone It is expressed as follows:

[0026]

[0027] Where: B ij Indicates the closeness of nodes i and j; is the density of all edges, δ(c i , c j ) where ci, cj represent the partitions where nodes i, j are located.

[0028] Furthermore, the control priority of each sub-division in the M1 and M2 sub-divisions is determined, and the node voltage optimization control is performed on the sub-divisions with higher priority in descending order of control priority, so that the node voltage of each load node in the M1 and M2 sub-divisions is adjusted to the normal voltage range, and the specific method is as follows:

[0029] 1) Detect whether all nodes in the reactive sub-partition N2 are overvoltage. If all node voltages are qualified, the detection is terminated; if there are overvoltage nodes, the sub-partitions corresponding to all overvoltage nodes are recorded as the adjustable partition set M2, and the other sub-partitions are recorded as the non-adjustable partition set T;

[0030] 2) Select the node j with the largest voltage amplitude in the adjustable partition set M2, and set its corresponding reactive sub-partition to N 2j , in subpartition N 2j Reactive power voltage control is performed within the area, and N 2j After the internal photovoltaic power generation is completed, the entire distribution network will be subjected to power flow calculation, which will be terminated when the voltage of the entire network meets the standard.

[0031] 3) If there are still unqualified nodes after adjustment, subpartition N 2j Divide into the non-adjustable partition set T; repeat steps 1) and 2) until there is no overvoltage node in the adjustable partition set M2 and there is an overvoltage node in the non-adjustable partition set T;

[0032] 4) After the reactive partition is adjusted, the node h with the largest voltage amplitude among all overvoltage nodes is selected based on the active partition, and its corresponding sub-partition is set to N 1h ; In subpartition N 1h Active voltage shear control is performed within the area, so that N 1h All voltages within the N 1h The power flow calculation is performed on the entire distribution network after the active power of the internal photovoltaic is cut;

[0033] 5) When the voltage of the entire network meets the requirements, the process ends. If there are still overvoltage nodes, repeat steps 3) and 4) until the voltage of all nodes is within a reasonable range.

[0034] Further, step 2) specifically includes:

[0035] 21) In the overvoltage node set, the node with the largest voltage amplitude is taken as the key load node, and the voltage amplitude is recorded as V max , which exceeds the node voltage upper limit by ΔV max According to the reactive voltage sensitivity matrix, find the photovoltaic PV with the largest reactive voltage sensitivity value to the key load node in the adjustable photovoltaic cluster. i As a key photovoltaic node, its sensitivity value is S max ; According to the reactive voltage sensitivity, calculate V max Adjust the PV back to the normal range i Reactive output Q need ;

[0036] 22) When PV i Adjustable reactive capacity Q supplied Greater than Q need , then according to Q need V max Perform reactive power compensation, and then perform a power flow calculation within the partition. If there are still overvoltage nodes after the power flow calculation, repeat the above steps;

[0037] 23) When PV i Adjustable reactive capacity Q supplied Less than Q need , then use Q supplied V max Compensation is performed, and then the photovoltaic node is divided into a non-adjustable photovoltaic node cluster. In the updated adjustable photovoltaic node cluster, the photovoltaic corresponding to the maximum reactive sensitivity is found to continue the reactive compensation of the above process. When the voltages of all voltage nodes in the sub-partition are within the adjustable range or there is no adjustable photovoltaic in the sub-partition, the voltage control process in the area ends.

[0038] A second aspect of the present invention is a system for the active power distribution network voltage control method, comprising:

[0039] The first partitioning module is used to perform active and reactive module partitioning processing on n load nodes in the power distribution system, and divide the n load nodes into N1 active sub-partitions and N2 reactive sub-partitions, respectively, wherein each sub-partition contains at least one load node;

[0040] The second partition module, when the distributed power supply is connected and causes the node voltage of the distribution system to exceed the limit, determines the M1 and M2 sub-partitions where the node voltage exceeds the limit in the N1 active sub-partitions and the N2 reactive sub-partitions respectively;

[0041] The voltage optimization control module is used to determine the control priority of each sub-partition in the M1 and M2 sub-partitions, and perform node voltage optimization control on the sub-partitions with higher priorities in order of control priority from high to low, so as to adjust the node voltage of each load node in the M1 and M2 sub-partitions to the normal voltage range.

[0042] A third aspect of the present invention is a computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the active power distribution network voltage control method when executing the computer program.

[0043] A fourth aspect of the present invention is a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the active power distribution network voltage control method is implemented.

[0044] The beneficial effects of the present invention are as follows:

[0045] (A) The present invention introduces the community structure partitioning algorithm in modularity partitioning into the active distribution network node clustering partitioning, and at the same time improves the traditional community structure partitioning algorithm in three aspects: central node, comprehensive sensitivity factor and modularity function according to the characteristics of the power system.

[0046] (B) When optimizing the management of voltage problems, the present invention first constructs a two-layer optimization model for the access location of multiple types of resources in the active distribution network based on partitions. The upper model optimizes the access location and access capacity of multiple types of resources with the goal of economy; the lower model optimizes the time period power output and transformer tap adjustment of multiple types of resources with the goal of node voltage fluctuation. At the same time, based on the optimization of resource distribution, a voltage problem partition optimization management strategy is proposed based on the principle of "maximizing the use of photovoltaic reactive power regulation capabilities and minimizing photovoltaic active power reduction". BRIEF DESCRIPTION OF THE DRAWINGS

[0047] The drawings constituting a part of the present application are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0048] Figure 1 Schematic diagram of the process of active power distribution network voltage control method in an embodiment of the present invention.

[0049] Figure 2 Schematic diagram of a method for zoning active and reactive modules in an embodiment of the present invention.

[0050] Figure 3 4 is a system architecture diagram of an active power distribution network voltage control method in an embodiment of the present invention. DETAILED DESCRIPTION

[0051] The present invention will be described in detail below with reference to the accompanying drawings and in combination with embodiments. It should be noted that the embodiments and features in the embodiments of the present application can be combined with each other without conflict.

[0052] The following detailed description is an exemplary description, which is intended to provide further detailed description of the present invention. Unless otherwise specified, all technical terms used in the present invention have the same meaning as those generally understood by those skilled in the art to which the present application belongs. The terms used in the present invention are only for describing specific embodiments, and are not intended to limit exemplary embodiments according to the present invention.

[0053] like Figure 1 As shown, in a first aspect of an embodiment of the present invention, a method for controlling voltage of an active distribution network based on modularity partitioning is provided, comprising the following steps:

[0054] Step 1: Perform active and reactive module degree partitioning on n load nodes in the distribution system in advance to divide the n load nodes into N1 active sub-partitions and N2 reactive sub-partitions, respectively, where each sub-partition contains at least one load node, and N1 and N2 are both positive integers less than or equal to n.

[0055] The specific method of step 1 is as follows:

[0056] Step 11: In view of the large impedance of the distribution network and the fact that the voltage control strategy involves active power control of the photovoltaic inverter, the impact of active power changes on the grid partitioning of the distribution system cannot be ignored. Therefore, it is necessary to decouple the partitioning from the active and reactive levels respectively.

[0057] Step 12: Combine the characteristics of the distribution network and photovoltaic access to transform the traditional community partitioning algorithm into the power system characteristics so as to introduce it into the field of distribution system partitioning;

[0058] Step 13: Perform active and reactive decoupling partitioning on the n load nodes according to the modified community partitioning algorithm, and obtain N1 active sub-partitions and N2 reactive sub-partitions with maximum modularity respectively;

[0059] Step 11 in step 1 further includes:

[0060] Step 111: In a distribution network with n nodes, the voltage amplitude variation ΔU of each node and the active and reactive variation sequences ΔP and ΔQ satisfy the following equation:

[0061] ΔU=S PU ΔP+S QU ΔQ

[0062] Where, ΔP=[ΔP1,ΔP2,...,ΔP N ] T ; ΔQ=[ΔQ1,ΔQ2,...,ΔQ N ] T ; S PU and S QU They are the active sensitivity factor and reactive sensitivity factor, respectively, which represent the change in node voltage amplitude when a unit amount of active power and reactive power is injected into the node.

[0063] Step 112: When different capacity photovoltaics are connected to the NPV photovoltaic installable nodes to form a photovoltaic capacity sequence [,ΔQ], the voltage of the i-th node is affected by not only its own voltage but also other nodes ΔP j and ΔQ j Therefore, the voltage of the i-th node is expressed as:

[0064]

[0065] Where V i 0 is the voltage of node i when photovoltaic power is not added; S PU,ij and S QU,ij S PU and S QU elements.

[0066] Step 113: Combining steps 111 and 112, it can be seen that when the active power remains unchanged, the unit amount of reactive power is injected, and the voltage amplitude change is only related to the reactive sensitivity matrix; when the reactive power remains unchanged, the unit amount of active power is injected, and the voltage amplitude change is only related to the active power sensitivity matrix. Therefore, the distribution network can be partitioned into active and reactive zones without affecting each other to achieve decoupling.

[0067] Step 12 in step 1 further includes:

[0068] Step 121: The traditional community partitioning algorithm can only characterize the coupling degree between different nodes according to the network topology. Considering that it is unreasonable to partition the distributed photovoltaic access only based on the topological structure, the active / reactive balance index γ and the node density ε in the area are introduced on the basis of the traditional method. The active / reactive balance index characterizes the photovoltaic reactive or active balance ability in the partition, and the node density index in the area characterizes the connection density between the nodes in the area.

[0069] Step 122: For the reactive partition, the reactive balance index is expressed as:

[0070]

[0071] In the formula, Q suppiled It is the reactive power that can be provided by all PV panels in the sub-area.

[0072] In a sub-area, the minimum reactive power demand can be expressed as:

[0073]

[0074] Where ΔV i is the voltage increment of node i; S VQ,ij is the reactive voltage sensitivity of the jth PV unit to the ith node in the sub-area, where i represents the number of nodes in the grid.

[0075] The density of nodes in the region is expressed as follows:

[0076]

[0077] Where: B ij Indicates the closeness of nodes i and j. If there is an edge connecting two points i and j, Bij = 1, otherwise it is 0; is the density of all edges and δ represents the impact function. When δ(c i , c j ) takes the value of 1, indicating that nodes i and j belong to the same community, otherwise they are not in the same community; i , c j ) where ci, cj represent the partitions where nodes i and j are located. When ci and cj are in the same community, δ = 1, otherwise it is 0. The active power balance index and the node density within the active power partition are the same as those of the reactive power partition.

[0078] like Figure 2 As shown, step 13 in step 1 further includes:

[0079] Step 131: Perform active decoupling partitioning on the power distribution system, first initialize, divide n load nodes one-to-one into n sub-partitions, and determine the n sub-partitions as the current partition set.

[0080] Step 132: All sub-partitions of the current partition set are merged in pairs according to the fusion rule of the community partition algorithm, so as to merge any two sub-partitions in the current partition set that satisfy the sub-partition fusion rule into the same sub-partition; wherein the sub-partition fusion rule is a rule that makes the new partition set obtained after the fusion of the sub-partition to be fused and the target sub-partition have the maximum modularity, and the target sub-partition is one of all the sub-partitions that have not yet been fused in pairs.

[0081] In the community partitioning algorithm, the rule that the new partition set has the maximum modularity is obtained according to the following formula:

[0082]

[0083]

[0084] Among them, ρ VP,im , VQ,im are respectively the improved active and reactive partition modularity functions; ρ VP represents the active partition modularity function of the power system partition using the traditional community partitioning algorithm; ρ VQ Represents the reactive partition modularity function of the power system partition using the traditional community partitioning algorithm.

[0085] Step 133: Repeat step 132 until the modularity of the current partition set does not increase, and accordingly obtain a partition set with the maximum modularity, which includes N1 sub-partitions. The reactive power partitioning method is the same as the active power partitioning method.

[0086] Step 2: When the node voltage exceeds the limit due to the access of the distributed generation system, the M1 and M2 sub-areas where the node voltage exceeds the limit are determined among the N1 active sub-areas and the N2 reactive sub-areas respectively;

[0087] Step 3: Determine the control priority of each sub-partition in M1 and M2 sub-partitions, where M1 and M2 are positive integers not greater than N1 and N2 respectively, and perform node voltage optimization control on sub-partitions with higher priorities in descending order of control priority to ensure that the node voltage of each load node in M1 and M2 sub-partitions is adjusted to the normal voltage range.

[0088] Step 3 specifically includes the following steps:

[0089] Step 31: Check whether all nodes in the reactive sub-partition N2 are over-voltage. If all node voltages are qualified, the test is terminated. If there are over-voltage nodes, all sub-partitions corresponding to the over-voltage nodes are recorded as the adjustable partition set M2, and the other sub-partitions are recorded as the non-adjustable partition set T;

[0090] Step 32: Select the node j with the largest voltage amplitude in the adjustable partition set M2, set the corresponding reactive sub-partition to N2j, perform reactive voltage control in the sub-partition N2j, perform power flow calculation on the entire distribution network after reactive compensation of the photovoltaic in N2j, and end when the voltage of the entire network meets the standard;

[0091] Step 33: When unqualified nodes still exist after adjustment, sub-partition N2j is divided into the non-adjustable partition set T. Steps 31 and 32 are repeated until there are no overvoltage nodes in the adjustable partition set M2 and there are overvoltage nodes in the non-adjustable partition set T.

[0092] Step 34: After the reactive partition is adjusted, the node h with the largest voltage amplitude among all overvoltage nodes is selected based on the active partition, and its corresponding sub-partition is set to N1h. Active voltage shear control is performed in the sub-partition N1h to make all voltages in N1h qualified, and the power flow calculation is performed on the entire distribution network after the active shear of the photovoltaic power in N1h.

[0093] Step 35: When the voltage of the entire network meets the requirements, the process ends. If there are still overvoltage nodes, repeat steps 33 and 34 until the voltages of all nodes are within a reasonable range.

[0094] Step 32 in step 3 further includes:

[0095] Step 321: In the overvoltage node set, the node with the largest voltage amplitude is selected as the key load node, and the voltage amplitude is recorded as V max , which exceeds the node voltage upper limit by ΔV max According to the reactive voltage sensitivity matrix, find the photovoltaic PV with the largest reactive voltage sensitivity value to the key load node in the adjustable photovoltaic cluster. i As a key photovoltaic node, its sensitivity value is S max According to the reactive voltage sensitivity, calculate V max Adjust the PV back to the normal range i Reactive output Q need :

[0096]

[0097] Step 322: When PV i Adjustable reactive capacity Q supplied Greater than Q need , then according to Q need V max Perform reactive power compensation and then perform a power flow calculation within the partition. If there are still overvoltage nodes after the power flow calculation, repeat the above steps.

[0098] Step 323: When PV i Adjustable reactive capacity Q supplied Less than Q need , then use Q supplied V max Compensation is performed, and then the photovoltaic node is divided into a non-adjustable photovoltaic node cluster. In the updated adjustable photovoltaic node cluster, the photovoltaic corresponding to the maximum reactive sensitivity is found to continue the reactive compensation of the above process. When the voltages of all voltage nodes in the sub-partition are within the adjustable range or there is no adjustable photovoltaic in the sub-partition, the voltage control process in the area ends.

[0099] like Figure 3 As shown, in the second aspect of the present invention, a system for an active distribution network voltage control method comprises:

[0100] The first partitioning module is used to perform active and reactive module partitioning processing on n load nodes in the power distribution system, and divide the n load nodes into N1 active sub-partitions and N2 reactive sub-partitions, respectively, wherein each sub-partition contains at least one load node;

[0101] The second partition module, when the distributed power supply is connected and causes the node voltage of the distribution system to exceed the limit, determines the M1 and M2 sub-partitions where the node voltage exceeds the limit in the N1 active sub-partitions and the N2 reactive sub-partitions respectively;

[0102] The voltage optimization control module is used to determine the control priority of each sub-partition in the M1 and M2 sub-partitions, and perform node voltage optimization control on the sub-partitions with higher priorities in order of control priority from high to low, so as to adjust the node voltage of each load node in the M1 and M2 sub-partitions to the normal voltage range.

[0103] A third aspect of the present invention is a computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the active power distribution network voltage control method when executing the computer program.

[0104] A fourth aspect of the present invention is a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the active power distribution network voltage control method is implemented.

[0105] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0106] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0107] These computer program instructions may also be stored in a computer readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0108] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0109] It is known from common technical knowledge that the present invention can be implemented by other embodiments that do not deviate from its spirit or essential features. Therefore, the above disclosed embodiments are only illustrative in all respects and are not exclusive. All changes within the scope of the present invention or within the scope equivalent to the present invention are included in the present invention.

Claims

1. An active distribution network voltage control method based on modularity partitioning, characterized in that: The steps include: Perform active and reactive module partitioning on n load nodes in the power distribution system, and divide the n load nodes into N1 active sub-partitions and N2 reactive sub-partitions, respectively, where each sub-partition contains at least one load node; When the node voltage exceeds the limit due to the access of distributed generation, the M1 and M2 sub-divisions where the node voltage exceeds the limit are determined in the N1 active sub-divisions and the N2 reactive sub-divisions respectively; Determine the control priority of each sub-division in M1 and M2 sub-divisions, and perform node voltage optimization control on sub-divisions with higher priority in descending order of control priority, and adjust the node voltage of each load node in M1 and M2 sub-divisions to the normal voltage range. The specific method is as follows: 1) Detect whether all nodes in the reactive sub-partition N2 are overvoltage. If all node voltages are qualified, the detection is terminated. If there are overvoltage nodes, the sub-partitions corresponding to all overvoltage nodes are recorded as the adjustable partition set M2, and the other sub-partitions are recorded as the non-adjustable partition set T; 2) Select the node j with the largest voltage amplitude in the adjustable partition set M2, and set its corresponding reactive sub-partition to N 2j , in subpartition N 2j Reactive power voltage control is performed within the area, and N 2j After the internal photovoltaic power generation is completed, the entire distribution network will be subjected to power flow calculation, which will be terminated when the voltage of the entire network meets the standard. 3) If there are still unqualified nodes after adjustment, subpartition N 2j Divide into the non-adjustable partition set T; Repeat steps 1) and 2) until there is no overvoltage node in the adjustable partition set M2 and there is an overvoltage node in the non-adjustable partition set T; 4) After the reactive partition is adjusted, the node h with the largest voltage amplitude among all overvoltage nodes is selected based on the active partition, and its corresponding sub-partition is set to N 1h ; In subpartition N 1h Active voltage shear control is performed within the area, so that N 1h All voltages within the N 1h The power flow calculation is performed on the entire distribution network after the active power of the internal photovoltaic is cut; 5) The process ends when the voltage of the entire network meets the requirements. If there are still overvoltage nodes, repeat steps 3) and 4) until the voltage of all nodes is within a reasonable range.

2. The active power distribution network voltage control method according to claim 1, characterized in that: According to the community partitioning algorithm, the n load nodes are partitioned into active and reactive decoupling partitions, and N1 active sub-partitions and N2 reactive sub-partitions with maximum modularity are obtained respectively.

3. The active power distribution network voltage control method according to claim 2, characterized in that: The specific method of obtaining the sub-partition with the maximum modularity according to the community partition algorithm is as follows: S11, dividing the n load nodes into n sub-partitions one by one, and determining the n sub-partitions as the current partition set; S12, according to the fusion rule of the community partitioning algorithm, all sub-partitions of the current partition set are fused in pairs, so as to fuse any two sub-partitions in the current partition set that meet the sub-partition fusion rule into the same sub-partition; wherein the sub-partition fusion rule is a rule that makes the new partition set obtained by merging the sub-partition to be fused with the target sub-partition have the maximum modularity, and the target sub-partition is a sub-partition among all the sub-partitions that have not been fused in pairs; S13. Repeat step S12 until the modularity of the current partition set no longer increases, and accordingly obtain a partition set with the maximum modularity.

4. The active power distribution network voltage control method according to claim 3, characterized in that: The maximum modularity of the community partitioning algorithm is obtained as follows: in, , They are respectively the improved active and reactive partition modularity functions; Active partition modularity function representing the traditional community partitioning algorithm; Reactive partition modularity function representing the traditional community partitioning algorithm; It is the reactive power balance index of the active power partition; It is the reactive power balance index of reactive power partition; The density of nodes in the active partition area; The density of nodes within a reactive partition.

5. The active power distribution network voltage control method according to claim 4, characterized in that: For reactive power partitions, the reactive power balance index is expressed as: In the formula, Q suppiled The reactive power that can be provided by all PV panels in the sub-area; In the reactive sub-area, the minimum reactive demand is expressed as: In the formula, is the voltage increment of node i; is the reactive voltage sensitivity of the jth PV unit to the ith node in the sub-area, where i represents the number of nodes in the grid; For reactive power partitions, the density of nodes in the zone It is expressed as follows: Where: B ij Indicates the closeness of nodes i and j; is the density of all edges, Here, ci and cj represent the partitions where nodes i and j are located.

6. The active power distribution network voltage control method according to claim 1, characterized in that: Step 2) specifically includes: 21) In the overvoltage node set, the node with the largest voltage amplitude is taken as the key load node, and the voltage amplitude is recorded as , which exceeds the node voltage upper limit According to the reactive voltage sensitivity matrix, find the photovoltaic node with the largest reactive voltage sensitivity value to the key load node in the adjustable photovoltaic cluster. As a key photovoltaic node, its sensitivity value is ; According to the reactive voltage sensitivity, the calculation will Adjust back to normal range Reactive output ; 22) When Adjustable reactive capacity Greater than , then according to right Perform reactive power compensation, and then perform a power flow calculation within the partition. If there are still overvoltage nodes after the power flow calculation, repeat steps 21) and 22); 23) When Adjustable reactive capacity Less than , then use right Compensation is performed, and then the photovoltaic node is divided into a non-adjustable photovoltaic node cluster. In the updated adjustable photovoltaic node cluster, the photovoltaic corresponding to the maximum reactive sensitivity is found to continue the reactive compensation of steps 21) and 23). When the voltages of all voltage nodes in the sub-division are within the adjustable range or there is no adjustable photovoltaic in the sub-division, the voltage control process in the zone ends.

7. A system for the active distribution network voltage control method according to claim 1, characterized in that: include: The first partitioning module is used to perform active and reactive module partitioning processing on n load nodes in the power distribution system, and divide the n load nodes into N1 active sub-partitions and N2 reactive sub-partitions, respectively, wherein each sub-partition contains at least one load node; The second partition module, when the distributed power supply is connected and causes the node voltage of the distribution system to exceed the limit, determines the M1 and M2 sub-partitions where the node voltage exceeds the limit in the N1 active sub-partitions and the N2 reactive sub-partitions respectively; The voltage optimization control module is used to determine the control priority of each sub-partition in the M1 and M2 sub-partitions, and perform node voltage optimization control on the sub-partitions with higher priorities in order of control priority from high to low, so as to adjust the node voltage of each load node in the M1 and M2 sub-partitions to the normal voltage range.

8. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the active power distribution network voltage control method according to any one of claims 1 to 6 is implemented.

9. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the active power distribution network voltage control method according to any one of claims 1 to 6 is implemented.

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