Power distribution network dynamic and static region division method and system, terminal and medium

Abstract

The invention discloses a dynamic and static region division method and system for a power distribution network, a terminal and a medium. The method comprises the following steps: acquiring physical information characteristics of the power distribution network; setting the action weight of each interconnection switch in the power distribution network by adopting an expert weighting mode; static region division is carried out on the power distribution network according to the interconnection switch action weight and whether interconnection crosses the dispatching jurisdiction region or not, and a plurality of sub-regions are obtained; and when an event occurs, selecting a target feeder line in the sub-region where the event occurs, searching a related feeder line of an N-order transfer path in the sub-region based on the minimum spanning tree according to the selected target feeder line, and dynamically generating a load transfer region. Based on the power distribution network management thought of decoupling partition, the complex power distribution network is divided into a plurality of sub-regions, so that each sub-region has relatively independent load transfer capacity. The decoupling partition can reduce the complexity of whole network calculation and improve the partition processing and dynamic response speed.

Description

Technical Field

[0001] The present invention relates to the field of distribution network area division, and in particular to a method, system, terminal and medium for dividing dynamic and static areas of a distribution network. Background Art

[0002] In modern distribution networks, as the number of users increases and the load demand continues to grow, the scale of power grid lines continues to expand and the structure becomes increasingly complex. The interconnection between the various distribution lines is enhanced, which improves the flexibility of power supply while also making the power grid face huge technical challenges in dealing with problems such as heavy overloads and fault transfer. In order to ensure the safe and stable operation of the distribution network, especially to be able to quickly adjust the load distribution in emergency situations, it is necessary to develop more efficient generation and transfer solutions to deal with heavy overloads and overloads.

[0003] At present, the calculation of heavy overload transfer usually involves the flow state and load distribution of a large number of lines and nodes, and requires comprehensive consideration of multiple parameters, resulting in complex calculations and low efficiency. In particular, when large-scale distribution networks experience sudden failures or rapid load changes, traditional centralized calculation solutions are difficult to meet the needs of rapid response. Therefore, it is necessary to develop a more reasonable distribution network partitioning scheme to reduce the complexity of the entire network calculation, thereby providing a basis for the subsequent generation of efficient transfer solutions. Summary of the invention

[0004] In view of the deficiencies in the prior art, the present invention provides a method, system, terminal and medium for dividing a distribution network into dynamic and static areas, which is based on the distribution network management idea of ​​decoupled partitioning, that is, dividing a complex distribution network into several sub-areas, so that each sub-area has a relatively independent load transfer capability, thereby reducing the complexity of the whole network calculation and improving the speed of partition processing and dynamic response.

[0005] In a first aspect, a method for dividing a distribution network into dynamic and static areas is provided, comprising the following steps: S1: Obtain the physical information characteristics of the distribution network; S2: According to the physical information characteristics of the distribution network, the weight of each tie switch action in the distribution network is set by expert empowerment; S3: Static regional division of the distribution network is performed according to the tie switch action weight and whether the tie crosses the dispatching jurisdiction area to obtain multiple sub-areas; S4: When an event occurs, a target feeder is selected in the sub-area where the event occurs, and the relevant feeders of its N-order transfer path are searched in the sub-area based on the selected target feeder based on the minimum spanning tree, so as to dynamically generate the load transfer area that actually needs to be considered.

[0006] Furthermore, the physical information characteristics of the distribution network include regional physical structure, regional load characteristics and regional interconnection and communication capabilities.

[0007] Furthermore, the method of setting the action weights of each tie switch in the distribution network by means of expert empowerment specifically includes: The action weight of each tie switch in the distribution network is determined by the following formula w :

[0008] In the formula, A and d Respectively represent the remote control success rate and its weight coefficient; B and e They represent the remote control usage rate and its weight coefficient respectively; C and f Respectively indicate whether there are three remote switches and their weight coefficients; D and g Represent the terminal coefficient and its weight coefficient respectively.

[0009] Furthermore, step S3 specifically includes: S31: fixing the tie switch action weight less than the weight threshold and the tie switch across the dispatching jurisdiction area as a quantile; S32: Further statically dividing the non-divided tie switches into regions by excluding the tie switches according to the tie switch action weights to obtain a plurality of sub-regions.

[0010] Further, step S32 specifically includes: S321: Setting a single elimination tie switch percentage of X%, and a sub-area target feeder number of Y; S322: For an area where the number of feeders is greater than Y, first open X% of the tie switches with the smallest weight, and the number of tie switches whose feeders on both sides of the tie switch are not opened is required to be greater than 1, and then the area can be divided into multiple sub-areas; S323: If the number of feeders in a certain sub-region is greater than the set sub-region target feeder number Y, return to step S322 until the number of feeders in the sub-region is less than or equal to the set sub-region target feeder number Y; S324: Divide other sub-areas in the same manner as steps S322 to S323 until all sub-areas divided from the original area meet the requirement that the number of feeders is less than or equal to the set sub-area target feeder number Y.

[0011] Furthermore, after step S32, the following steps are further included: S33: Evaluate the regional average load rate, regional complexity and regional average main variables of the distribution network after static regional division; S34: If the evaluation is passed, the static area division is completed; if the evaluation is not passed, the particle swarm optimization algorithm is used to optimize the action weights of each tie switch so that the static area division passes the evaluation.

[0012] Furthermore, the regional average load rate is calculated as follows: Assume there are n original areas, each of which is divided into several sub-areas, and the average load rate is calculated for each sub-area; Based on the average load rates of each sub-area in each original area, the variance value of the average load rate of each original area is calculated; The sum of the variance values ​​of the average load rates of the n original regions is taken as the regional average load rate FZL; The regional complexity is calculated as follows: Calculate the complexity of each tie switch, which is defined as the maximum value of the shortest path lengths from the tie switch to all the tie switches connected to it; Determine the complexity of each sub-area, which is defined as the maximum value among the complexities of the tie switches in the sub-area; The maximum complexity of all sub-regions is taken as the regional complexity.

[0013] Furthermore, the particle swarm optimization algorithm is used to optimize the action weights of each tie switch so that the static area division passes the evaluation, specifically including: The action weight of each tie switch is represented as a multidimensional vector:

[0014] In the formula, Indicates i The action weight of the tie switch, Indicates i The first contact switch k The weight coefficient of the impact factor is k Indicates the total number of influencing factors; influencing factors include remote control success rate, remote control usage rate, whether it is a three-remote switch and terminal coefficient; Initialize the particle swarm, each particle Encoded as an N×k matrix, expressed as follows:

[0015] Where N is the total number of tie switches; Set the fitness function. The optimization goal is to minimize the fitness value of the particle. The fitness function F is expressed as follows:

[0016] Where FZL, FZD and ZB represent the average regional load rate, regional complexity and normalized regional average main variable after static regional division, respectively; , and denote the weights of FZL, FZD and ZB respectively; Use particle swarm to search for the optimal solution. During the optimization process, the average load rate of the region, the regional complexity and the average main variable of the region are evaluated according to the optimization results of each particle in each iteration. If the evaluation fails, the fitness value of the corresponding particle is set to infinity. When the termination condition is reached, the optimal particle is output, the action weight of each tie switch is decoded, and the static area division result is obtained.

[0017] Furthermore, after step S4, the following steps are further included: When a load transfer scheme cannot be generated based on the load transfer area in the sub-area, the relevant feeders of the N-order transfer path across the sub-area are found based on the minimum spanning tree according to the selected target feeder, and the load transfer area that actually needs to be considered is dynamically generated; When multiple events occur and there is a conflict between the load transfer plans generated based on the load transfer areas corresponding to the events, the corresponding multiple load transfer areas are integrated into one load transfer area for generating the load transfer plan.

[0018] In a second aspect, a system for dividing dynamic and static areas of a distribution network is provided, comprising: An information acquisition module is used to obtain physical information characteristics of the distribution network; A weight setting module is used to set the weight of each tie switch action in the distribution network by expert empowerment according to the physical information characteristics of the distribution network; The static area division module is used to divide the distribution network into static areas according to the weight of the tie switch action and whether the tie crosses the dispatching jurisdiction area to obtain multiple sub-areas; The dynamic area division module is used to select a target feeder in the sub-area where the event occurs when an event occurs, and search for related feeders of its N-order transfer path in the sub-area based on the minimum spanning tree according to the selected target feeder, and dynamically generate the load transfer area that actually needs to be considered.

[0019] In a third aspect, an electronic terminal is provided, comprising: Memory on which computer programs or instructions are stored; The processor is used to load and execute the computer program to implement the method for dividing the dynamic and static areas of the distribution network as described above.

[0020] In a fourth aspect, a computer-readable storage medium is provided, on which a computer program or instruction is stored. When the computer program or instruction is executed by a processor, the method for dividing the dynamic and static areas of the distribution network as described above is implemented.

[0021] The present invention proposes a method, system, terminal and medium for dividing the dynamic and static areas of a distribution network. The method is based on the distribution network management concept of "decoupled partitioning", which divides the complex distribution network into several sub-areas so that each sub-area has a relatively independent load transfer capability. Decoupled partitioning can reduce the complexity of network-wide calculations and improve the speed of partition processing and dynamic response. At the same time, the partitioned subnets have better independence, which helps to achieve efficient management of local areas, improve the efficiency and accuracy of load transfer scheme generation, and reduce the risk of accident expansion while improving the overall operating efficiency of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0023] Figure 1 It is a flow chart of a method for dividing dynamic and static areas of a distribution network provided by an embodiment of the present invention; Figure 2 is a static area division flow chart provided by an embodiment of the present invention; Figure 3 is a static area division result diagram provided by an embodiment of the present invention; Figure 4 It is a dynamic area division process diagram provided by an embodiment of the present invention, wherein (a) is a load transfer area formed by the second-order transfer path of the LL to LJ line, (b) is a load transfer area formed by the second-order transfer path of the LL to G1 loop, and (c) is a load transfer area formed by the integration of the second-order transfer paths of the LL to LJ line and the LL to G1 loop. DETAILED DESCRIPTION

[0024] To make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be described in detail below. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other implementation methods obtained by ordinary technicians in this field without creative work belong to the scope of protection of the present invention.

[0025] like Figure 1 As shown, an embodiment of the present invention provides a method for dividing a power distribution network into dynamic and static areas, comprising the following steps: S1: Obtain the physical information characteristics of the distribution network.

[0026] The physical information characteristics of the distribution network cover the key characteristics of the power grid system, aiming to provide basic data support for subsequent regional division. The physical information characteristics of the distribution network include regional physical structure, regional load characteristics, and regional interconnection and communication capabilities.

[0027] Regional physical structure: Consider the physical layout of the power grid, including substations, transmission lines, distribution networks, etc., and generate the topology of the distribution network. The boundaries of the static area division should be as close as possible to the natural division of the power grid, with a reasonable power supply radius and limited regional complexity.

[0028] Regional load characteristics: Analyze the load requirements of different regions, including peak load, average load, load fluctuation, etc. The static area division should take into account the balanced distribution of load to avoid overload problems caused by concentrated load.

[0029] Regional interconnection and communication capabilities: Consider the interconnection capabilities and communication infrastructure of the power grid, and provide data such as remote control success rate and remote control utilization rate. Static regional division should try to consider factors such as the remote control success rate of the tie switch.

[0030] S2: According to the physical information characteristics of the distribution network, the action weights of each interconnecting switch in the distribution network are set by expert empowerment.

[0031] The action weight of the tie switch is set according to the remote control success rate, three remote switches, terminal coefficient, etc. Specifically, the action weight of each tie switch in the distribution network is determined by the following formula: w : (1) In the formula, A and d Respectively represent the remote control success rate and its weight coefficient; B and e They represent the remote control usage rate and its weight coefficient respectively; C and f Respectively indicate whether there are three remote switches and their weight coefficients; D and g Represent the terminal coefficient and its weight coefficient respectively.

[0032] Among them, the remote control success rate is the number of successful remote control times / the total number of remote control times, and the value range is 0 to 1; the remote control usage rate is the total number of remote control times / the total number of changes, and the value range is 0 to 1; CIndicates whether it is a three-remote switch. If so, C is 1. If not, C is a constant in the range of (0,0.4); terminal coefficient D= (y / a)*(z / b), feeders A and B are the feeders on both sides of the tie switch, a is the maximum number of switches on feeder A (the maximum number of switches between any switch on the feeder and the feeder outlet switch under normal operating conditions), b is the maximum number of switches on feeder B, y is the number of switches between the tie switch and the feeder A outlet switch, and z is the number of switches between the tie switch and the feeder B outlet switch.

[0033] S3: The distribution network is statically divided into multiple sub-areas according to the weight of the tie switch action and whether the tie crosses the dispatching jurisdiction area.

[0034] like Figure 2 As shown, in this embodiment, step S3 specifically includes: S31: The tie switches whose action weights are less than the weight threshold and which cross the dispatching jurisdiction area are fixed as quantiles.

[0035] Whether the tie switch crosses the dispatching jurisdiction is an influencing factor of the static area division. If the lines on both sides of the tie switch are in different dispatching jurisdictions, the tie switch is fixed as a quantile, and the dispatching jurisdiction is defined as the actual administrative division dispatching jurisdiction. By first fixing the tie switch action weight less than the weight threshold and the tie switch across the dispatching jurisdiction as a quantile, some tie switches can be excluded in the subsequent static area division process, reducing the computational complexity and improving the efficiency of static area division.

[0036] S32: Further statically dividing the non-divided tie switches into regions by excluding the tie switches according to the tie switch action weights to obtain a plurality of sub-regions.

[0037] More specifically, step S32 includes: S321: Setting a single elimination tie switch percentage of X%, and a sub-area target feeder number of Y; S322: For an area where the number of feeders is greater than Y, first open X% of the tie switches with the smallest weight, and the number of tie switches on both sides of the tie switch that have not been opened is required to be greater than 1 (to avoid isolating the feeders), and then the area can be divided into multiple sub-areas; S323: If the number of feeders in a certain sub-region is greater than the set sub-region target feeder number Y, return to step S322 until the number of feeders in the sub-region is less than or equal to the set sub-region target feeder number Y; S324: Divide other sub-areas in the same manner as steps S322 to S323 until all sub-areas divided from the original area meet the requirement that the number of feeders is less than or equal to the set sub-area target feeder number Y. Figure 3 The figure shows a schematic diagram of the static area division results of a distribution network, with two static divisions in total.

[0038] S33: Evaluate the regional average load rate, regional complexity and regional average main variables of the distribution network after static regional division.

[0039] The average load rate of the area is calculated as follows: Assume that there are n original regions, each of which is divided into several sub-regions, and the average load rate of each sub-region is calculated; based on the average load rate of each sub-region in each original region, the variance value of the average load rate of each original region is calculated; the sum of the variance values ​​of the average load rates of the n original regions is taken as the regional average load rate FZL. This value represents the pros and cons of this static regional division in terms of the average load rate problem. The smaller the regional average load rate value, the better the static regional division result.

[0040] The regional complexity is calculated as follows: Calculate the complexity of each tie switch, which is defined as the maximum value of the shortest path lengths from the tie switch to all the tie switches connected to it; determine the complexity of each sub-area, which is defined as the maximum value of the complexities of the tie switches in the sub-area; and take the maximum value of the complexities of all sub-areas as the regional complexity.

[0041] The regional average main variable is the average of the main variables of all sub-regions. In actual implementation, the upper and lower limits of the regional average main variable are limited. If the regional average main variable is too low, the regional division will be too fine and the region will be too discrete. If the regional average main variable is too high, the sub-region will be too complex.

[0042] In some preferred embodiments, step S3 further includes: S34: If the evaluation is passed, the static area division is completed; if the evaluation is not passed, the particle swarm optimization algorithm is used to optimize the action weights of each tie switch so that the static area division passes the evaluation.

[0043] Specifically, the particle swarm optimization algorithm is used to optimize the action weights of each tie switch so that the static area division passes the evaluation, including: S341: The action weight of each tie switch is represented as a multidimensional vector: (2) In the formula, Indicates i The action weight of each tie switch; Indicates i The first contact switch k The weight coefficient of the k influencing factors ranges from 0 to 1, and the sum of the weight coefficients of k influencing factors is 1; kIndicates the total number of influencing factors; influencing factors include remote control success rate, remote control usage rate, whether it is a three-remote switch and terminal coefficient. In this embodiment, k is 4, , when decoding, the action weight of the tie switch is based on the corresponding multidimensional vector The impact factor is calculated using formula (1).

[0044] S342: Initialize the particle swarm, each particle Encoded as an N×k matrix, expressed as follows: (3) Where N is the total number of tie switches.

[0045] S343: Set the fitness function. The optimization goal is to minimize the fitness value of the particle. The fitness function F is expressed as follows: (4) Where FZL, FZD and ZB represent the regional average load rate, regional complexity and normalized regional average main variable after static regional division, respectively; , and Represent the weights of FZL, FZD and ZB respectively.

[0046] S344: Use particle swarm to search for the optimal solution. During the search, the average load rate of the region, the complexity of the region and the average main variable of the region are evaluated according to the optimization results of each particle in each iteration. If the evaluation fails, the fitness value of the corresponding particle is set to infinity. The position of the particle is updated in the process of searching for the optimal solution according to the existing technology, which will not be elaborated here.

[0047] S345: When the termination condition is reached (the maximum number of iterations or the fitness convergence condition is reached), the optimal particle is output, the action weight of each tie switch is decoded, and the static area division result is obtained.

[0048] S4: When an event occurs, a target feeder is selected in the sub-area where the event occurs, and the feeders related to its N (usually N is 1 or 2) order transfer paths are searched in the sub-area based on the selected target feeder based on the minimum spanning tree, and the load transfer area that actually needs to be considered is dynamically generated. The specific steps are as follows: S41: Identify the specific sub-area where the event occurs, i.e., the area where the failure occurs or needs adjustment; S42: Select target feeder: In the sub-area, select the target feeder, that is, determine the main load transmission path affected by the event. The target feeder is the starting point of the transfer path that needs to be dynamically adjusted; S43: Construct a minimum spanning tree: In the sub-area where the selected target feeder is located, based on the minimum spanning tree algorithm, find a group of feeders associated with the target feeder, and connect the feeders through the minimum spanning tree, so that all feeders are connected and the total cost (the sum of edge weights, the edge weights between feeders are determined by the action weights of the corresponding tie switches) is minimized. The construction process of the minimum spanning tree ensures the optimization of the load transfer path, so that after an event occurs, the system can redistribute the load at the minimum cost (usually power loss or equipment burden) to avoid large-scale power system fluctuations; S44: Dynamic division and transfer path: Based on the results of the minimum spanning tree construction, dynamically generate the load transfer area that actually needs to be considered. The N-order transfer path usually refers to other feeders that the target feeder can access through N orders (usually 1 or 2 orders). The feeders on the N-order path will be regarded as the transfer area that actually needs to be considered.

[0049] In some embodiments, step S4 further includes: When a load transfer scheme cannot be generated based on the load transfer area in the sub-area, the relevant feeders of the N-order transfer path across the sub-area are found based on the minimum spanning tree according to the selected target feeder, and the load transfer area that actually needs to be considered is dynamically generated; When multiple events occur and there are conflicts in the load transfer plans generated based on the load transfer areas corresponding to each event, the corresponding multiple load transfer areas are integrated into one load transfer area to generate the load transfer plan. Taking the LL to LJ line and LL to G1 as an example, the dynamic area division process of the distribution network is as follows: Figure 4 As shown, (a) is the load transfer area formed by the second-order transfer path of the LL to LJ line, (b) is the load transfer area formed by the second-order transfer path of the LL to G1 loop, and (c) is the load transfer area formed by the integration of the second-order transfer paths of the LL to LJ line and the LL to G1 loop.

[0050] The above-mentioned embodiment provides a method for dividing the dynamic and static areas of a distribution network, which is based on the distribution network management concept of "decoupled partitioning", that is, dividing the complex distribution network into several sub-areas through static areas, so that each sub-area has a relatively independent load transfer capability, effectively narrowing the scope of analysis, reducing the processing of unnecessary interconnection points, and finally dynamically generating the load transfer area that actually needs to be considered. Decoupled partitioning can reduce the complexity of calculations for the entire network and increase the speed of partition processing and dynamic response. At the same time, the partitioned subnets have better independence, which helps to achieve efficient management of local areas, improve the efficiency and accuracy of load transfer plan generation, and reduce the risk of accident expansion while improving the overall operating efficiency of the system.

[0051] The embodiment of the present invention further provides a system for dividing dynamic and static areas of a power distribution network, including: An information acquisition module is used to obtain physical information characteristics of the distribution network; A weight setting module is used to set the weight of each tie switch action in the distribution network by expert empowerment according to the physical information characteristics of the distribution network; The static area division module is used to divide the distribution network into static areas according to the weight of the tie switch action and whether the tie crosses the dispatching jurisdiction area to obtain multiple sub-areas; The dynamic area division module is used to select a target feeder in the sub-area where the event occurs when an event occurs, and search for related feeders of its N-order transfer path in the sub-area based on the minimum spanning tree according to the selected target feeder, and dynamically generate the load transfer area that actually needs to be considered.

[0052] It should be understood that the functional unit modules in the embodiments of the present invention may be concentrated in one processing unit, or each unit module may exist physically separately, or two or more unit modules may be integrated in one unit module, and may be implemented in the form of hardware or software.

[0053] An embodiment of the present invention further provides an electronic terminal, including: Memory on which computer programs or instructions are stored; The processor is used to load and execute the computer program to implement the method for dividing the dynamic and static areas of the distribution network as described in the above embodiment.

[0054] An embodiment of the present invention further provides a computer-readable storage medium having a computer program or instruction stored thereon. When the computer program or instruction is executed by a processor, the method for dividing the distribution network into dynamic and static areas as described in the above embodiment is implemented.

[0055] It can be understood that the same or similar parts of the above embodiments can be referenced to each other, and the contents not described in detail in some embodiments can refer to the same or similar contents in other embodiments.

[0056] 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 combining software and hardware. Moreover, the present application may adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0057] 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.

[0058] 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 comprising 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.

[0059] 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.

[0060] Although the embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations of the present invention. A person skilled in the art may change, modify, replace and vary the above embodiments within the scope of the present invention.

Claims

1. A method for dividing dynamic and static areas of a distribution network, characterized in that: The steps include: S1: Obtain the physical information characteristics of the distribution network; S2: According to the physical information characteristics of the distribution network, the weight of each tie switch action in the distribution network is set by expert empowerment; S3: Static regional division of the distribution network is performed according to the tie switch action weight and whether the tie crosses the dispatching jurisdiction area to obtain multiple sub-areas; S4: When an event occurs, a target feeder is selected in the sub-area where the event occurs, and the relevant feeders of its N-order transfer path are searched in the sub-area based on the selected target feeder based on the minimum spanning tree, so as to dynamically generate the load transfer area that actually needs to be considered.

2. The method for dividing the dynamic and static areas of the distribution network according to claim 1, characterized in that: The physical information characteristics of the distribution network include regional physical structure, regional load characteristics, and regional interconnection and communication capabilities.

3. The method for dividing the dynamic and static areas of the distribution network according to claim 1, characterized in that: The method of setting the action weights of each tie switch in the distribution network by means of expert empowerment specifically includes: The action weights of each tie switch in the distribution network are determined by the following formula w : ； In the formula, A and d Respectively represent the remote control success rate and its weight coefficient; B and e They represent the remote control usage rate and its weight coefficient respectively; C and f Respectively indicate whether there are three remote switches and their weight coefficients; D and g Represent the terminal coefficient and its weight coefficient respectively.

4. The method for dividing the dynamic and static areas of the distribution network according to claim 1, characterized in that: Step S3 specifically includes: S31: fixing the tie switch action weight less than the weight threshold and the tie switch across the dispatching jurisdiction area as a quantile; S32: Further statically dividing the non-divided tie switches into regions by excluding the tie switches according to the tie switch action weights to obtain a plurality of sub-regions.

5. The method for dividing the dynamic and static areas of the distribution network according to claim 4, characterized in that: Step S32 specifically includes: S321: Setting a single elimination tie switch percentage of X%, and a sub-area target feeder number of Y; S322: For an area where the number of feeders is greater than Y, first open X% of the tie switches with the smallest weight, and the number of tie switches whose feeders on both sides of the tie switch are not opened is required to be greater than 1, and then the area can be divided into multiple sub-areas; S323: If the number of feeders in a certain sub-region is greater than the set sub-region target feeder number Y, return to step S322 until the number of feeders in the sub-region is less than or equal to the set sub-region target feeder number Y; S324: Divide other sub-areas in the same manner as steps S322 to S323 until all sub-areas divided from the original area meet the requirement that the number of feeders is less than or equal to the set sub-area target feeder number Y.

6. The method for dividing the dynamic and static areas of the distribution network according to claim 4, characterized in that: After step S32, the following steps are also included: S33: Evaluate the regional average load rate, regional complexity and regional average main variables of the distribution network after static regional division; S34: If the evaluation is passed, the static area division is completed; if the evaluation is not passed, the particle swarm optimization algorithm is used to optimize the action weights of each tie switch so that the static area division passes the evaluation.

7. The method for dividing the dynamic and static areas of the power distribution network according to claim 6, characterized in that: The average load rate of the area is calculated as follows: Assume there are n original areas, each of which is divided into several sub-areas, and the average load rate is calculated for each sub-area; Based on the average load rates of each sub-area in each original area, the variance value of the average load rate of each original area is calculated; The sum of the variance values ​​of the average load rates of the n original regions is taken as the regional average load rate FZL; The regional complexity is calculated as follows: Calculate the complexity of each tie switch, which is defined as the maximum value of the shortest path lengths from the tie switch to all the tie switches connected to it; Determine the complexity of each sub-area, which is defined as the maximum value among the complexities of the tie switches in the sub-area; The maximum complexity of all sub-regions is taken as the regional complexity.

8. The method for dividing the dynamic and static areas of the distribution network according to claim 6, characterized in that: The particle swarm optimization algorithm is used to optimize the action weights of each tie switch so that the static area division passes the evaluation, specifically including: The action weight of each tie switch is represented as a multidimensional vector: ； In the formula, Indicates i The action weight of the tie switch, Indicates i The first contact switch k The weight coefficient of the impact factor is k Indicates the total number of influencing factors; influencing factors include remote control success rate, remote control usage rate, whether it is a three-remote switch and terminal coefficient; Initialize the particle swarm, each particle Encoded as an N×k matrix, expressed as follows: ； Where N is the total number of tie switches; Set the fitness function. The optimization goal is to minimize the fitness value of the particle. The fitness function F is expressed as follows: ； Where FZL, FZD and ZB represent the regional average load rate, regional complexity and normalized regional average main variable after static regional division, respectively; , and denote the weights of FZL, FZD and ZB respectively; Use particle swarm to search for the optimal solution. During the optimization process, the average load rate of the region, the regional complexity and the average main variable of the region are evaluated according to the optimization results of each particle in each iteration. If the evaluation fails, the fitness value of the corresponding particle is set to infinity. When the termination condition is reached, the optimal particle is output, the action weight of each tie switch is decoded, and the static area division result is obtained.

9. The method for dividing the dynamic and static areas of the power distribution network according to claim 1, characterized in that: After step S4, the following steps are also included: When a load transfer scheme cannot be generated based on the load transfer area in the sub-area, the relevant feeders of the N-order transfer path across the sub-area are found based on the minimum spanning tree according to the selected target feeder, and the load transfer area that actually needs to be considered is dynamically generated; When multiple events occur and there is a conflict between the load transfer plans generated based on the load transfer areas corresponding to the events, the corresponding multiple load transfer areas are integrated into one load transfer area.

10. A distribution network dynamic and static area division system, characterized in that: include: An information acquisition module is used to obtain physical information characteristics of the distribution network; A weight setting module is used to set the weight of each tie switch action in the distribution network by expert empowerment according to the physical information characteristics of the distribution network; The static area division module is used to divide the distribution network into static areas according to the weight of the tie switch action and whether the tie crosses the dispatching jurisdiction area to obtain multiple sub-areas; The dynamic area division module is used to select a target feeder in the sub-area where the event occurs when an event occurs, and search for related feeders of its N-order transfer path in the sub-area based on the minimum spanning tree according to the selected target feeder, and dynamically generate the load transfer area that actually needs to be considered.

11. An electronic terminal, characterized in that: include: Memory on which computer programs or instructions are stored; A processor is used to load and execute the computer program to implement the method for dividing the dynamic and static areas of the distribution network according to any one of claims 1 to 9.

12. A computer-readable storage medium having a computer program or instruction stored thereon, characterized in that: When the computer program or instruction is executed by a processor, the method for dividing dynamic and static areas of a distribution network as described in any one of claims 1 to 9 is implemented.

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