Distribution network dynamic and static zone division methods, systems, terminals and media

Abstract

This invention discloses a method, system, terminal, and medium for dynamic and static area division of a distribution network. The method includes: acquiring the physical information characteristics of the distribution network; setting the action weights of each tie switch in the distribution network using expert weighting; statically dividing the distribution network into multiple sub-regions according to the action weights of the tie switches and whether the tie crosses a dispatching jurisdiction area; when an event occurs, selecting a target feeder within the sub-region where the event occurred, and dynamically generating a load transfer area by finding the relevant feeders of its N-order transfer path within the sub-region based on the selected target feeder using a minimum spanning tree. This invention is based on the distribution network management concept of decoupled partitioning, dividing the complex distribution network into several sub-regions, enabling each sub-region to have relatively independent load transfer capabilities. Decoupled partitioning can reduce the complexity of the overall network calculation and improve the speed of partition processing and dynamic response.

Description

Technical Field

[0001] This invention relates to the field of power distribution network area division, and in particular to a method, system, terminal and medium for dynamic and static area division of power distribution networks. Background Technology

[0002] In modern power distribution networks, with the increasing number of users and the continuous growth of load demand, the scale of power grid lines is constantly expanding, and the structure is becoming increasingly complex. The enhanced interconnection between various distribution lines, while improving power supply flexibility, also presents significant technical challenges for the power grid in dealing with heavy overloads and fault transfer. To ensure the safe and stable operation of the distribution network, especially to quickly adjust load distribution in emergency situations, it is necessary to develop more efficient generation and transfer schemes to cope with heavy overloads and other overload phenomena.

[0003] Currently, calculations for heavy overload power transfer typically involve the power flow status and load distribution of numerous lines and nodes, requiring comprehensive consideration of multiple parameters. This leads to computational complexity and low efficiency, especially in large-scale distribution networks during sudden faults or rapid load changes, where traditional centralized calculation schemes struggle to meet rapid response requirements. Therefore, it is necessary to develop more rational distribution network zoning schemes to reduce the complexity of network-wide calculations, thereby laying the foundation for subsequently generating efficient power transfer schemes. Summary of the Invention

[0004] To address the shortcomings of existing technologies, this invention provides a method, system, terminal, and medium for dividing dynamic and static areas of a distribution network. Based on the concept of decoupled partitioning in distribution network management, the complex distribution network is divided into several sub-regions, enabling each sub-region to have relatively independent load transfer capabilities. This reduces the complexity of the overall network calculation and improves the speed of partitioning processing and dynamic response.

[0005] Firstly, a method for dividing dynamic and static zones in a power distribution network is provided, including the following steps:

[0006] S1: Obtain the physical information characteristics of the distribution network;

[0007] S2: Based on the physical information characteristics of the distribution network, the weight of each tie switch in the distribution network is set using an expert weighting method;

[0008] S3: The distribution network is statically divided into multiple sub-regions based on the action weight of the tie switch and whether the tie crosses the dispatching jurisdiction area;

[0009] S4: When an event occurs, select the target feeder in the sub-region where the event occurred, and find the relevant feeders of its Nth-order transfer path in the sub-region 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.

[0010] Furthermore, the physical information characteristics of the power distribution network include regional physical structure, regional load characteristics, and regional interconnection and communication capabilities.

[0011] Furthermore, the method of setting the action weights of each tie switch in the distribution network using expert weighting specifically includes:

[0012] The operating weights of each tie switch in the distribution network are determined by the following formula. w :

[0013]

[0014] In the formula, A and d These represent the remote control success rate and its weighting coefficient, respectively. B and e These represent the remote control usage rate and its weighting coefficient, respectively. C and f These represent whether the device is a remote control switch and its weighting coefficient, respectively. D and g These represent the terminal coefficient and its weighting coefficient, respectively.

[0015] Furthermore, step S3 specifically includes:

[0016] S31: Fix the communication switch action weight to less than the weight threshold and the communication switch that crosses the dispatch jurisdiction area to a quantile;

[0017] S32: Further, the non-separated tie switches are excluded according to the tie switch action weight to perform static region division, resulting in multiple sub-regions.

[0018] Furthermore, step S32 specifically includes:

[0019] S321: Set the percentage of single-time exclusion of contact switches X%, and the target number of feeders Y in the sub-area;

[0020] S322: For areas with more than Y feeders, first open the tie switch with the smallest weight X%, and require that the number of tie switches on both sides of the tie switch that are not opened is greater than 1. Then the area can be divided into multiple sub-areas.

[0021] S323: If the number of feeders in a certain sub-region is greater than the set target number of feeders Y for the sub-region, then return to step S322 until the number of feeders in the sub-region is less than or equal to the set target number of feeders Y for the sub-region.

[0022] S324: Divide other sub-regions in the same way as steps S322 to S323 until all sub-regions divided from the original region meet the condition that the number of feeders is less than or equal to the set target number of feeders Y for the sub-region.

[0023] Furthermore, step S32 is followed by:

[0024] S33: Evaluate the regional average load rate, regional complexity, and regional average main variable of the distribution network after static regional division;

[0025] S34: If the evaluation passes, the static area division ends; if the evaluation fails, the particle swarm optimization algorithm is used to optimize the action weights of each contact switch so that the static area division passes the evaluation.

[0026] Furthermore, the average load factor of the region is calculated as follows:

[0027] Assume there are n original regions, each of which is divided into several sub-regions. Calculate the average load rate for each sub-region.

[0028] Based on the average load rate of each sub-region within each original region, the variance of the average load rate of each original region is calculated.

[0029] The sum of the variances of the average load rates of the n original regions is taken as the region average load rate FZL;

[0030] The complexity of the region is calculated as follows:

[0031] The complexity of each tie switch is calculated as the maximum of the shortest path lengths from that tie switch to all the tie switches connected to it.

[0032] Determine the complexity of each sub-region, which is defined as the maximum value among the complexities of the handover switches within that sub-region;

[0033] The maximum value among all sub-regions is taken as the region complexity.

[0034] Furthermore, the optimization of the action weights of each contact switch using the particle swarm optimization algorithm to ensure the static region division passes the evaluation specifically includes:

[0035] The action weight of each contact switch is represented as a multi-dimensional vector:

[0036]

[0037] In the formula, Indicates the first i The action weight of each interconnecting switch Indicates the first i The first contact switch k The weighting coefficients of each influencing factor. k This represents 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;

[0038] Initialize the particle swarm, each particle The encoding is represented as an N×k matrix, as follows:

[0039]

[0040] In the formula, N is the total number of interconnecting switches;

[0041] The fitness function is set, and the optimization objective is to minimize the fitness value of the particles. The fitness function F is expressed as follows:

[0042]

[0043] In the formula, FZL, FZD and ZB represent the average load rate of the region after static region division, the region complexity and the normalized average principal variable of the region, respectively. , and These represent the weights of FZL, FZD, and ZB, respectively.

[0044] Particle swarm optimization is used. During the optimization process, the average load rate, complexity, and average principal variable of the region are evaluated based on the optimization results of each particle in each iteration. If the evaluation fails, the fitness value of the corresponding particle is set to infinity.

[0045] When the termination condition is met, the optimal particle is output, the action weights of each contact switch are decoded, and the static region division result is obtained.

[0046] Furthermore, step S4 is followed by:

[0047] When a load transfer scheme cannot be generated based on the load transfer area within a sub-region, the relevant feeders of the N-order transfer path across the sub-region are found based on the minimum spanning tree according to the selected target feeder, and the actual load transfer area to be considered is dynamically generated.

[0048] When multiple events occur, and there are conflicts in the load transfer schemes generated based on the load transfer areas corresponding to each event, the multiple corresponding load transfer areas are integrated into one load transfer area for generating load transfer schemes.

[0049] Secondly, a dynamic and static zone division system for a power distribution network is provided, including:

[0050] The information acquisition module is used to acquire the physical information characteristics of the power distribution network;

[0051] The weight setting module is used to set the action weight of each tie switch in the distribution network according to the physical information characteristics of the distribution network using an expert weighting method;

[0052] The static area division module is used to statically divide the distribution network into multiple sub-regions based on the action weight of tie switches and whether the tie crosses the dispatching jurisdiction area.

[0053] The dynamic region partitioning module is used to select a target feeder within the sub-region where the event occurs when an event occurs, and to find the relevant feeders of its Nth-order transfer path within the sub-region based on the minimum spanning tree according to the selected target feeder, thereby dynamically generating the load transfer region that actually needs to be considered.

[0054] Thirdly, an electronic terminal is provided, including:

[0055] A memory on which computer programs or instructions are stored;

[0056] A processor is used to load and execute the computer program to implement the dynamic and static area division method of the power distribution network as described above.

[0057] Fourthly, a computer-readable storage medium is provided, on which a computer program or instructions are stored, which, when executed by a processor, implement the dynamic and static area division method of the power distribution network as described above.

[0058] This invention proposes a method, system, terminal, and medium for dynamic and static zone division in distribution networks. Based on the distribution network management concept of "decoupled partitioning," the complex distribution network is divided into several sub-regions, each possessing relatively independent load transfer capabilities. Decoupled partitioning reduces the complexity of overall network calculations and improves the speed of partition processing and dynamic response. Simultaneously, the partitioned sub-networks exhibit greater independence, facilitating efficient management of local areas, improving the efficiency and accuracy of load transfer scheme generation, and reducing the risk of accident escalation while enhancing overall system operating efficiency. Attached Figure Description

[0059] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0060] Figure 1 This is a flowchart of the dynamic and static area division method for power distribution networks provided in an embodiment of the present invention;

[0061] Figure 2 This is a flowchart of static region division provided in an embodiment of the present invention;

[0062] Figure 3 This is a static region division result diagram provided in an embodiment of the present invention;

[0063] Figure 4 This is a dynamic area division process diagram provided in the embodiment of the present invention, wherein (a) is the load transfer area formed by the second-order transfer path of LL-LJ line, (b) is the load transfer area formed by the second-order transfer path of LL-G1 return, and (c) is the load transfer area formed by integrating the second-order transfer paths of LL-LJ line and LL-G1 return. Detailed Implementation

[0064] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be described in detail below. Obviously, the described embodiments are merely some embodiments of this invention, and not all embodiments. Based on the embodiments of this invention, all other implementation methods obtained by those skilled in the art without creative effort are within the scope of protection of this invention.

[0065] like Figure 1 As shown in the figure, this embodiment of the invention provides a method for dividing dynamic and static zones in a power distribution network, including the following steps:

[0066] S1: Obtain the physical information characteristics of the distribution network.

[0067] The physical information characteristics of a distribution network encompass the key features of the power grid system, aiming to provide fundamental data support for subsequent regional division. These characteristics include regional physical structure, regional load characteristics, and regional interconnection and communication capabilities.

[0068] Regional physical structure: Considering the physical layout of the power grid, including substations, transmission lines, and distribution networks, generate the distribution network topology. Static regional boundaries should follow the natural divisions of the power grid as much as possible, with a reasonable power supply radius, limiting regional complexity.

[0069] Regional load characteristics: Analyze the load demand in different regions, including peak load, average load, and load fluctuations. Static zoning should consider the balanced distribution of loads to avoid overload problems caused by concentrated loads.

[0070] Regional interconnection and communication capabilities: Considering the grid interconnection capabilities and communication infrastructure, provide data such as remote control success rate and remote control usage rate. Static area division should take into account factors such as the remote control success rate of tie switches as much as possible.

[0071] S2: Based on the physical information characteristics of the distribution network, the weights of the actions of each tie switch in the distribution network are set using an expert weighting method.

[0072] The action weights of the tie switches are set according to factors such as remote control success rate, three-remote switch (remote control, remote control, and remote terminal) coefficient. Specifically, the action weights of each tie switch in the distribution network are determined by the following formula.w :

[0073] (1)

[0074] In the formula, A and d These represent the remote control success rate and its weighting coefficient, respectively. B and e These represent the remote control usage rate and its weighting coefficient, respectively. C and f These represent whether the device is a remote control switch and its weighting coefficient, respectively. D and g These represent the terminal coefficient and its weighting coefficient, respectively.

[0075] Among them, the remote control success rate is the number of successful remote control attempts / the total number of remote control attempts, with a value range of 0 to 1; the remote control usage rate is the total number of remote control attempts / the total number of conversions, with a value range of 0 to 1. C Indicates whether it is a remote control switch. If yes, C is 1. If no, C is a constant in the range of (0, 0.4). The terminal coefficient D = (y / a)*(z / b). Feeders A and B are feeders on both sides of the tie switch. a is the maximum number of switches in feeder A (the maximum number of switches between any switch on the feeder and the feeder outlet switch under normal operation). b is the maximum number of switches in feeder B. y is the number of switches between the tie switch and the feeder A outlet switch. z is the number of switches between the tie switch and the feeder B outlet switch.

[0076] S3: The distribution network is statically divided into multiple sub-regions based on the action weight of the tie switch and whether the tie crosses the dispatching jurisdiction.

[0077] like Figure 2 As shown, in this embodiment, step S3 specifically includes:

[0078] S31: Fix the contact switch action weight to less than the weight threshold and the contact switch that crosses the dispatch jurisdiction area to a tertiary position.

[0079] Whether a tie switch crosses a dispatching jurisdiction area is a factor influencing static area division. If the lines on both sides of a tie switch are in different dispatching jurisdiction areas, then the tie switch is fixed as a separate unit, and the dispatching jurisdiction area is defined as the actual administrative division dispatching jurisdiction. By first fixing tie switches whose action weight is less than the weight threshold and those that cross dispatching jurisdiction areas as separate units, some tie switches can be excluded in the subsequent static area division process, reducing computational complexity and improving the efficiency of static area division.

[0080] S32: Further, the non-separated tie switches are excluded according to the tie switch action weight to perform static region division, resulting in multiple sub-regions.

[0081] More specifically, step S32 includes:

[0082] S321: Set the percentage of single-time exclusion of contact switches X%, and the target number of feeders Y in the sub-area;

[0083] S322: For areas with more than Y feeders, first open the tie switch with the smallest weight X%, and ensure that the number of tie switches on both sides of the tie switch that are not opened is greater than 1 (to avoid isolating the feeders). Then the area can be divided into multiple sub-areas.

[0084] S323: If the number of feeders in a certain sub-region is greater than the set target number of feeders Y for the sub-region, then return to step S322 until the number of feeders in the sub-region is less than or equal to the set target number of feeders Y for the sub-region.

[0085] S324: Divide other sub-regions in the same way as steps S322 to S323 until all sub-regions divided from the original region meet the condition that the number of feeders is less than or equal to the set target number of feeders Y for the sub-region. Figure 3 The diagram shows the result of static area division of a power distribution network, which was performed twice.

[0086] S33: Evaluate the regional average load rate, regional complexity, and regional average number of main variables of the distribution network after static regional division.

[0087] The average load factor of the region is calculated as follows:

[0088] Assuming there are n original regions, each region is divided into several sub-regions. The average load factor is calculated for each sub-region. Based on the average load factor of each sub-region within each original region, the variance of the average load factor of each original region is calculated. The sum of the variances of the average load factors of the n original regions is taken as the regional average load factor FZL. This value characterizes the quality of this static region division in terms of average load factor; the smaller the regional average load factor, the better the static region division result.

[0089] The complexity of the region is calculated as follows:

[0090] Calculate the complexity of each tie switch, which is defined as the maximum of the shortest path lengths from that tie switch to all the tie switches connected to it; determine the complexity of each sub-region, which is defined as the maximum of the complexities of the tie switches within that sub-region; take the maximum of the complexities of all sub-regions as the region complexity.

[0091] The regional average principal variable is the average of the principal variables of all sub-regions. In practice, the upper and lower limits of the regional average principal variable are limited. If the regional average principal variable is too low, the region will be divided too finely, resulting in the region being too discretized. If the regional average principal variable is too high, the sub-regions will be too complex.

[0092] In some preferred embodiments, step S3 further includes:

[0093] S34: If the evaluation passes, the static area division ends; if the evaluation fails, the particle swarm optimization algorithm is used to optimize the action weights of each contact switch so that the static area division passes the evaluation.

[0094] Specifically, the optimization of the action weights of each contact switch using the particle swarm optimization algorithm to ensure the static region division passes the evaluation includes:

[0095] S341: The action weight of each contact switch is represented as a multi-dimensional vector:

[0096] (2)

[0097] In the formula, Indicates the first i The action weight of each interconnecting switch; Indicates the first i The first contact switch k The weight coefficients of each of the k influencing factors range from 0 to 1, and the sum of the weight coefficients of the k influencing factors is 1. k This represents the total number of influencing factors; these factors include remote control success rate, remote control usage rate, whether it is a three-remote switch, and the terminal coefficient. In this embodiment, k is set to 4. During decoding, the action weights of the handshake switch are based on the corresponding multidimensional vector. The impact factor is calculated using equation (1).

[0098] S342: Initialize the particle swarm, each particle... The encoding is represented as an N×k matrix, as follows:

[0099] (3)

[0100] In the formula, N is the total number of interconnecting switches.

[0101] S343: Set the fitness function, with the optimization objective being to minimize the fitness value of the particles. The fitness function F is expressed as follows:

[0102] (4)

[0103] In the formula, FZL, FZD and ZB represent the average load rate of the region after static region division, the region complexity and the normalized average principal variable of the region, respectively. , and These represent the weights of FZL, FZD, and ZB, respectively.

[0104] S344: Particle swarm optimization is used. During the optimization process, the average load rate, complexity, and average principal variable of the region are evaluated based on 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 particles is updated according to the existing technology during the optimization process, which will not be elaborated here.

[0105] S345: When the termination condition is met (maximum number of iterations or fitness convergence condition is reached), the optimal particle is output, the action weights of each contact switch are decoded, and the static region partitioning result is obtained.

[0106] S4: When an event occurs, select the target feeder within the sub-region where the event occurred, and based on the selected target feeder, find the relevant feeders of its Nth (usually N is 1 or 2) order transfer path within that sub-region using the minimum spanning tree, dynamically generating the actual load transfer area to be considered. The specific steps are as follows:

[0107] S41: Identify the specific sub-region where the event occurred, i.e. the region where the fault occurred or needs adjustment;

[0108] S42: Select target feeder: Within this sub-region, select the target feeder, which determines 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.

[0109] S43: Constructing the Minimum Spanning Tree: Within the selected sub-region of the target feeder, based on the minimum spanning tree algorithm, find a set of feeders associated with the target feeder, and connect these feeders using the minimum spanning tree method, ensuring connectivity between all feeders and minimizing the total cost (the sum of edge weights, where the edge weights between feeders are determined by the action weights of the corresponding tie switches). The construction process of the minimum spanning tree ensures the optimization of the load transfer path, enabling the system to redistribute loads at the lowest cost (usually power loss or equipment burden) after an event occurs, avoiding large-scale power system fluctuations.

[0110] S44: Dynamic Partitioning and Load Transfer Paths: Based on the results of the minimum spanning tree construction, dynamically generate the load transfer areas that actually need to be considered. N-order load transfer paths usually refer to other feeders that the target feeder can access through N-order (usually 1 or 2-order) feeders. Feeders on N-order paths are considered as the load transfer areas that actually need to be considered.

[0111] In some embodiments, step S4 is followed by:

[0112] When a load transfer scheme cannot be generated based on the load transfer area within a sub-region, the relevant feeders of the N-order transfer path across the sub-region are found based on the minimum spanning tree according to the selected target feeder, and the actual load transfer area to be considered is dynamically generated.

[0113] When multiple events occur, and the load transfer schemes generated based on the corresponding load transfer areas of each event conflict, the multiple corresponding load transfer areas are integrated into one load transfer area for generating load transfer schemes. Taking the second-order interconnected dynamic combination range of LL substation LJ line and LL substation G1 circuit 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 LL substation LJ line, (b) is the load transfer area formed by the second-order transfer path of LL substation G1 circuit, and (c) is the load transfer area formed by integrating the second-order transfer paths of LL substation LJ line and LL substation G1 circuit.

[0114] The above embodiment provides a method for dividing a distribution network into dynamic and static zones. Based on the distribution network management concept of "decoupled partitioning," this method divides a complex distribution network into several sub-zones through static zone division. Each sub-zone possesses relatively independent load transfer capabilities, effectively narrowing the analysis scope, reducing the processing of unnecessary interconnection points, and ultimately dynamically generating the load transfer zones that actually need to be considered. Decoupled partitioning can reduce the complexity of the overall network calculation and improve the speed of partition processing and dynamic response. Simultaneously, the partitioned sub-networks have better independence, which helps to achieve efficient management of local areas, improves the efficiency and accuracy of load transfer scheme generation, and reduces the risk of accident escalation while improving the overall system operating efficiency.

[0115] This invention also provides a power distribution network dynamic and static area division system, including:

[0116] The information acquisition module is used to acquire the physical information characteristics of the power distribution network;

[0117] The weight setting module is used to set the action weight of each tie switch in the distribution network according to the physical information characteristics of the distribution network using an expert weighting method;

[0118] The static area division module is used to statically divide the distribution network into multiple sub-regions based on the action weight of tie switches and whether the tie crosses the dispatching jurisdiction area.

[0119] The dynamic region partitioning module is used to select a target feeder within the sub-region where the event occurs when an event occurs, and to find the relevant feeders of its Nth-order transfer path within the sub-region based on the minimum spanning tree according to the selected target feeder, thereby dynamically generating the load transfer region that actually needs to be considered.

[0120] It should be understood that the functional unit modules in the embodiments of the present invention can be concentrated in one processing unit, or each unit module can exist physically separately, or two or more unit modules can be integrated into one unit module, and can be implemented in hardware or software.

[0121] This invention also provides an electronic terminal, comprising:

[0122] A memory on which computer programs or instructions are stored;

[0123] A processor is used to load and execute the computer program to implement the power distribution network dynamic and static area division method described in the foregoing embodiments.

[0124] This invention also provides a computer-readable storage medium storing a computer program or instructions thereon, which, when executed by a processor, implements the power distribution network dynamic and static area division method described in the foregoing embodiments.

[0125] It is understood that the same or similar parts in the above embodiments can be referred to each other, and the contents not described in detail in some embodiments can be referred to the same or similar contents in other embodiments.

[0126] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0127] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. 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, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0128] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0129] 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.

[0130] Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention. Those skilled in the art can make changes, modifications, substitutions and variations to the above embodiments within the scope of the present invention.

Claims

1. A method for dividing dynamic and static zones in a power distribution network, characterized in that, Includes the following steps: S1: Obtain the physical information characteristics of the distribution network; S2: Based on the physical information characteristics of the distribution network, the weight of each tie switch in the distribution network is set using an expert weighting method; S3: The distribution network is statically divided into multiple sub-regions based on the action weight of the tie switch and whether the tie crosses the dispatching jurisdiction area; S4: When an event occurs, select the target feeder in the sub-region where the event occurred, and find the relevant feeders of its M-order transfer path in the sub-region 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. Step S3 specifically includes: S31: Fix the communication switch action weight to less than the weight threshold and the communication switch that crosses the dispatch jurisdiction area to a quantile; S32: Further, the non-separated tie switches are excluded according to the tie switch action weight to perform static region division, resulting in multiple sub-regions; Step S32 specifically includes: S321: Set the percentage of single-time exclusion of contact switches X%, and the target number of feeders Y in the sub-area; S322: For areas with more than Y feeders, first open the tie switch with the smallest weight X%, and require that the number of tie switches on both sides of the tie switch that are not opened is greater than 1. 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 target number of feeders Y for the sub-region, then return to step S322 until the number of feeders in the sub-region is less than or equal to the set target number of feeders Y for the sub-region. S324: Divide other sub-regions in the same way as steps S322 to S323 until all sub-regions divided from the original region meet the condition that the number of feeders is less than or equal to the set target number of feeders Y for the sub-region.

2. The method for dividing dynamic and static zones in a power 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 dynamic and static zones of a power distribution network according to claim 1, characterized in that, The method of setting the action weights of each tie switch in the distribution network using expert weighting specifically includes: The operating weights of each tie switch in the distribution network are determined by the following formula. w : ； In the formula, A and d These represent the remote control success rate and its weighting coefficient, respectively. B and e These represent the remote control usage rate and its weighting coefficient, respectively. C and f These represent whether the device is a remote control switch and its weighting coefficient, respectively. D and g These represent the terminal coefficient and its weighting coefficient, respectively.

4. The method for dividing dynamic and static zones in a power distribution network according to claim 1, characterized in that, Step S32 is followed by: S33: Evaluate the regional average load rate, regional complexity, and regional average main variable of the distribution network after static regional division; S34: If the evaluation passes, the static area division ends; if the evaluation fails, the particle swarm optimization algorithm is used to optimize the action weights of each contact switch so that the static area division passes the evaluation.

5. The method for dividing dynamic and static zones of a power distribution network according to claim 4, characterized in that, The average load factor of the region is calculated as follows: Assume there are n original regions, each of which is divided into several sub-regions. Calculate the average load rate for each sub-region. Based on the average load rate of each sub-region within each original region, the variance of the average load rate of each original region is calculated. The sum of the variances of the average load rates of the n original regions is taken as the region average load rate FZL; The complexity of the region is calculated as follows: The complexity of each tie switch is calculated as the maximum of the shortest path lengths from that tie switch to all the tie switches connected to it. Determine the complexity of each sub-region, which is defined as the maximum value among the complexities of the handover switches within that sub-region; The maximum value among all sub-regions is taken as the region complexity.

6. The method for dividing dynamic and static zones of a power distribution network according to claim 4, characterized in that, The optimization of the action weights of each contact switch using the particle swarm optimization algorithm to ensure the static region division passes the evaluation includes: The action weight of each contact switch is represented as a multi-dimensional vector: ； In the formula, Indicates the first i The action weight of each interconnecting switch Indicates the first i The first contact switch k The weighting coefficients of each influencing factor. k This represents 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 The encoding is represented as an N×k matrix, as follows: ； In the formula, N is the total number of interconnecting switches; The fitness function is set, and the optimization objective is to minimize the fitness value of the particles. The fitness function F is expressed as follows: ； In the formula, FZL, FZD and ZB represent the average load rate of the region after static region division, the region complexity and the normalized average principal variable of the region, respectively. , and These represent the weights of FZL, FZD, and ZB, respectively. Particle swarm optimization is used. During the optimization process, the average load rate, complexity, and average principal variable of the region are evaluated based on 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 met, the optimal particle is output, the action weights of each contact switch are decoded, and the static region division result is obtained.

7. The method for dividing dynamic and static zones in a power distribution network according to claim 1, characterized in that, Step S4 is followed by: When a load transfer scheme cannot be generated based on the load transfer area within a sub-region, the relevant feeders of the M-order transfer path across the sub-region are found based on the minimum spanning tree according to the selected target feeder, and the actual load transfer area to be considered is dynamically generated. When multiple events occur, and there are conflicts in the load transfer schemes generated based on the load transfer areas corresponding to each event, the multiple corresponding load transfer areas will be integrated into one load transfer area.

8. A power distribution network dynamic and static zone division system, characterized in that, The method for implementing the dynamic and static zone division of a distribution network as described in any one of claims 1 to 7 includes: The information acquisition module is used to acquire the physical information characteristics of the power distribution network; The weight setting module is used to set the action weight of each tie switch in the distribution network according to the physical information characteristics of the distribution network using an expert weighting method; The static area division module is used to statically divide the distribution network into multiple sub-regions based on the action weight of tie switches and whether the tie crosses the dispatching jurisdiction area. The dynamic region division module is used to select a target feeder in the sub-region where the event occurs when an event occurs, and to find the relevant feeders of its M-order transfer path in the sub-region based on the minimum spanning tree according to the selected target feeder, so as to dynamically generate the load transfer region that actually needs to be considered.

9. An electronic terminal, characterized in that, include: A memory on which computer programs or instructions are stored; A processor is configured to load and execute the computer program to implement the power distribution network dynamic and static zone division method as described in any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program or instructions stored thereon, characterized in that, When the computer program or instructions are executed by the processor, the method for dividing the dynamic and static areas of the power distribution network as described in any one of claims 1 to 7 is implemented.

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