Reactive voltage control partitioning method and system for main net rack of electric power system

Abstract

The invention discloses a reactive voltage control partitioning method and system for a main grid of an electric power system. The method comprises the following steps: determining an electrical distance between reactive nodes of the electric power system; the method comprises the following steps: performing primary clustering on reactive power nodes in a power system according to an electrical distance between the reactive power nodes of the power system, clustering each reactive power source node of the power system and a reactive power load node closest to the reactive power source node into a reactive power source partition, and obtaining a plurality of reactive power source partitions of the power system; the minimum distance evaluation function value serves as the target, secondary clustering is carried out on all reactive power source partitions, a reactive power voltage control partition scheme is obtained, and the distance evaluation function comprehensively considers the inter-class distance and the intra-class distance; the closer the inter-class distance and the intra-class distance are, the smaller the distance evaluation function value is; the intra-class distance and the inter-class distance are calculated according to the electrical distance between the reactive nodes. The reactive power partitioning efficiency of a power system can be effectively improved, and safe, efficient and stable operation of a power grid is ensured.

Description

Technical Field

[0001] The present invention relates to the technical field related to power grid modulation and power grid operation, and in particular to a method and system for controlling reactive voltage zoning of a main grid of an electric power system. Background Art

[0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art.

[0003] With the rapid development of new energy, the reactive imbalance characteristics in the power system have become prominent. For voltage support devices such as phase-shifting units and grid-type energy storage, due to the limitations of their reactive output operating points, the output reactive capacity of some units has approached the upper limit and cannot provide more reactive support to the power system, which poses new challenges to the reactive balance and voltage stability of the power system. In order to ensure the voltage stability of the power system, it is necessary to study a reactive voltage control zoning method suitable for the coordination of multiple reactive resources.

[0004] The traditional reactive voltage control zoning method requires calculating the electrical distance of each node in the power grid one by one and performing cluster analysis. The calculation and clustering process is cumbersome and time-consuming. At the same time, the widespread access to new energy sources has also led to the inability of traditional zoning methods to accurately balance the reactive sources and reactive loads within the zone, resulting in unreliable zoning results and insufficient voltage support capacity in some zones. Summary of the invention

[0005] In order to solve the above problems, the present invention proposes a method and system for reactive voltage control zoning of the main grid of an electric power system, which can effectively improve the reactive zoning efficiency of the electric power system and ensure the safe, efficient and stable operation of the power grid.

[0006] To achieve the above object, the present invention adopts the following technical solution:

[0007] In the first aspect, a method for controlling reactive power and voltage in a power system main grid is proposed, comprising:

[0008] Obtain the data required for reactive power and voltage partitioning of the power system;

[0009] Based on the acquired data, determine the electrical distance between reactive nodes in the power system;

[0010] According to the electrical distance between the reactive nodes of the power system, the reactive nodes in the power system are initially clustered, and each reactive source node of the power system and the reactive load node closest to the reactive source node are clustered into a reactive source partition, so as to obtain multiple reactive source partitions of the power system;

[0011] With the goal of minimizing the distance evaluation function value, all reactive source partitions are secondary clustered to obtain the reactive voltage control partition scheme, in which the distance evaluation function comprehensively considers the inter-class distance and the intra-class distance; the closer the inter-class distance and the intra-class distance are, the smaller the distance evaluation function value is; both the intra-class distance and the inter-class distance are calculated based on the electrical distance between the reactive nodes.

[0012] Further, based on the acquired data, the sensitivity of the reactive source node voltage and the reactive load node voltage of the power system is determined;

[0013] Determine the electrical distance between the reactive source node and the reactive load node in the power system according to the sensitivity of the reactive source node voltage and the reactive load node voltage in the power system;

[0014] According to the electrical distance between the reactive source node and the reactive load node, the electrical distance between any two reactive nodes in the power system is determined.

[0015] Furthermore, the distance evaluation function is equal to the absolute value of the intra-class distance divided by the inter-class distance minus 1.

[0016] Furthermore, the number of reactive source partitions is the same as the number of reactive source nodes in the power system.

[0017] Furthermore, the intra-class distance is the sum of the internal distances of all classes clustered out by the secondary clustering, wherein the internal distance of each class is the sum of the errors between all data points in the class and the mean of the data points, wherein the data points refer to the electrical distances between the nodes outside the class center and the class center; the class center is the center clustered out from all reactive source nodes in the class, and is calculated based on the electrical distances between reactive source nodes in the class;

[0018] The inter-class distance is the sum of the distances from the mean of the data points of each class clustered from the second clustering to the global center. The global center is calculated by averaging the mean of the data points of all classes.

[0019] Furthermore, the number of clusters obtained by the secondary clustering is greater than 1 and less than or equal to the square root of the sum of the number of reactive source nodes and reactive load nodes in the power system.

[0020] Secondly, a power system main grid reactive power voltage control partition system is proposed, including:

[0021] A data acquisition module, used to acquire the data required for reactive power voltage partitioning of the power system;

[0022] An electrical distance determination module, used to determine the electrical distance between reactive nodes of the power system based on the acquired data;

[0023] The primary clustering module is used to perform primary clustering of reactive nodes in the power system according to the electrical distance between reactive nodes in the power system, cluster each reactive source node of the power system and the reactive load node closest to the reactive source node into a reactive source partition, and obtain multiple reactive source partitions of the power system;

[0024] The secondary clustering module is used to perform secondary clustering on all reactive source partitions with the goal of minimizing the distance evaluation function value to obtain a reactive voltage control partitioning scheme, wherein the distance evaluation function comprehensively considers the inter-class distance and the intra-class distance; the closer the inter-class distance and the intra-class distance are, the smaller the distance evaluation function value is; both the intra-class distance and the inter-class distance are calculated based on the electrical distance between the reactive nodes.

[0025] In a third aspect, a computer device is provided, the device comprising:

[0026] a processor adapted to execute a computer program;

[0027] A computer-readable storage medium, wherein a computer program is stored in the computer-readable storage medium, and when the computer program is executed by the processor, a method for controlling reactive voltage zoning of a main grid of a power system proposed in the first aspect is implemented.

[0028] In a fourth aspect, a computer-readable storage medium is proposed, wherein the computer-readable storage medium stores a computer program, and the computer program is suitable for being loaded by a processor and executing a method for reactive voltage control zoning of a main grid of a power system proposed in the first aspect.

[0029] In a fifth aspect, a computer program product is proposed, which includes a computer program. When the computer program is executed by a processor, it implements a method for reactive voltage control zoning of a main grid of a power system proposed in the first aspect.

[0030] Compared with the prior art, the present invention has the following beneficial effects:

[0031] The present invention discloses a method and system for reactive voltage control zoning of a main grid of an electric power system. The method first performs an initial clustering of reactive nodes according to the electrical distance between reactive nodes in the electric power system to obtain reactive source zoning of the electric power system; then, according to a distance evaluation function, the reactive source zoning is secondary clustered to obtain a reactive voltage control zoning scheme, which can significantly reduce the time used for zoning clustering and greatly improve zoning efficiency, while ensuring reactive balance and voltage stability in each zoning after zoning, and ensuring safe, efficient and stable operation of the power grid; wherein the distance evaluation function comprehensively considers the intra-class distance and the inter-class distance, ensures the accuracy of the secondary clustering, and further improves the accuracy of the reactive voltage control zoning.

[0032] Advantages of additional aspects of the present invention will be given in part in the following description, and in part will become obvious from the following description, or will be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] The drawings in the specification, which constitute a part of the present application, are used to provide further understanding of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute improper limitations on the present application.

[0034] Figure 1 A flow chart of a method for controlling reactive voltage zoning of a main grid of a power system disclosed in an embodiment;

[0035] Figure 2 It is a schematic diagram of the structure of the simulation system disclosed in the embodiment;

[0036] Figure 3 The initial partitioning result based on the electrical distance matrix and reactive source nodes disclosed in the embodiment;

[0037] Figure 4 The distance evaluation function and the inter-class distance value under different k values ​​disclosed in the embodiment;

[0038] Figure 5 This is the optimal partitioning result based on the distance evaluation function disclosed in the embodiment. DETAILED DESCRIPTION

[0039] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0040] It should be noted that the following detailed descriptions are illustrative and are intended to provide further explanation of the present application. Unless otherwise specified, all technical and scientific terms used herein have the same meanings as those commonly understood by those skilled in the art to which the present application belongs.

[0041] It should be noted that the terms used herein are only for describing specific embodiments and are not intended to limit the exemplary embodiments according to the present application. As used herein, unless the context clearly indicates otherwise, the singular form is also intended to include the plural form. In addition, it should be understood that when the terms "comprise" and / or "include" are used in this specification, it indicates the presence of features, steps, operations, devices, components and / or combinations thereof.

[0042] In the absence of conflict, the embodiments of the present invention and the features of the embodiments may be combined with each other.

[0043] Example 1

[0044] In order to ensure the reactive balance of the power system, this embodiment discloses a reactive voltage control partitioning method for the main grid of the power system. By calculating the sensitivity matrix of the reactive source node voltage to the load node voltage, the voltage regulation effect of the reactive source can be indirectly reflected. Combining the electrical distance and distance evaluation function between the reactive nodes, the nearest voltage support reactive source node can be found for each reactive load node more accurately. Compared with the traditional partitioning method, the partitioning method based on electrical distance and distance evaluation function can effectively improve the efficiency of partitioning, can accurately and quickly determine the reactive voltage control partitioning scheme, and can be applied to different power systems and different operating conditions.

[0045] A method for controlling reactive power and voltage zoning of a main grid of a power system disclosed in this embodiment is described in detail.

[0046] This embodiment discloses a method for controlling reactive power voltage in a power system main grid. Figure 1 As shown, including:

[0047] S1: Obtain the data required for reactive power and voltage partitioning of the power system.

[0048] The data required for reactive power voltage partitioning of the power system acquired in this embodiment includes a node admittance matrix of the power system.

[0049] S2: Determine the electrical distance between reactive nodes in the power system based on the acquired data.

[0050] The reactive nodes of the power system include reactive source nodes and reactive load nodes; the electrical distances between the corresponding reactive nodes include the electrical distances between the reactive source nodes and the reactive load nodes, the electrical distances between the reactive load nodes, and the electrical distances between the reactive source nodes. The process of determining the electrical distances between the reactive nodes of the power system includes:

[0051] S21: Determine the sensitivity of the reactive source node voltage and the reactive load node voltage of the power system based on the acquired data.

[0052] For an n-node power system, the unbalanced equations for active power and reactive power expressed by the Newton-Raphson algorithm are:

[0053]

[0054]

[0055] Among them, ΔP i is the unbalanced active power of node i in the power grid, P is is the initial active power of node i, V i is the voltage amplitude of node i, V j is the voltage amplitude at node j, θ ijis the voltage phase angle between node i and node j, G ij is the conductance between nodes i and j, B ij The susceptance between nodes i and j, ΔQi is the unbalanced reactive power of node i in the power grid, Q is is the initial reactive power of node i, and n is the number of grid nodes.

[0056] Linearizing the above two formulas yields the power flow correction equation:

[0057]

[0058] Where: ΔP is the change in node active power, ΔQ is the change in node reactive power, Δθ is the change in node voltage phase angle, and ΔV is the change in node voltage amplitude.

[0059] When it is considered that only active power affects the voltage phase and reactive power affects the voltage amplitude, the above formula can be decoupled to obtain the reactive power balance equation in the power system:

[0060]

[0061] Where: B is the sensitivity matrix generated by the imaginary part of each element in the node admittance matrix, the subscript G represents the reactive source node, and the subscript L represents the reactive load node.

[0062] In the natural response stage, the voltage of the reactive source node remains unchanged, that is, ΔV G =0, then:

[0063]

[0064]

[0065] In the active control stage, it is assumed that the reactive demand of reactive load is constant. That is, ΔQ L =0, then:

[0066]

[0067]

[0068] According to the formula transformation, we can get sensitivity matrices with different meanings: Indicates the sensitivity of reactive power of reactive load node to reactive load node voltage; It represents the sensitivity of reactive power injected by reactive load to reactive power injected by reactive source node; Indicates the sensitivity of reactive source node voltage to reactive load node voltage; It represents the sensitivity of the unit voltage increment of the reactive source node to the reactive output of the reactive source node.

[0069] Based on the above sensitivity analysis, the sensitivity matrix of reactive source node voltage to reactive load node voltage is: Since the power flow calculation treats the generator node as a PV node, the voltage regulation function cannot be reflected. Therefore, the PV node is first relaxed to a PQ node and then the sensitivity is calculated. That is, when calculating the sensitivity between the i-th reactive source node and the j-th reactive load node, the node i is first set as a PQ node, and the other reactive source nodes in the power grid are set as PV nodes. Before calculating the sensitivity of the next reactive source node to the load node, the reactive source node i is reset to a PQ node, and so on, until the voltage sensitivity matrix of the entire power grid is obtained.

[0070] S22: Determine the electrical distance between the reactive source node and the reactive load node in the power system according to the sensitivity of the reactive source node voltage and the reactive load node voltage in the power system.

[0071] By processing the sensitivity of the reactive source node voltage to the reactive load node voltage, the electrical distance d between the reactive source node i and the reactive load node j can be obtained. ij for:

[0072] d ij =-lgS ij

[0073] By selecting each reactive source node as a dimension of the matrix, the electrical distance matrix D between the reactive source nodes and reactive load nodes in the entire power system can be calculated:

[0074]

[0075] Among them, n is the number of reactive source nodes, and m is the number of reactive load nodes.

[0076] S23: Determine the electrical distance between any two reactive nodes in the power system according to the electrical distance between the reactive source node and the reactive load node.

[0077] The electrical distance M between any two reactive nodes i and j ij It is expressed as:

[0078]

[0079] S3: Perform initial clustering of reactive nodes in the power system according to the electrical distance between reactive nodes in the power system, cluster each reactive source node in the power system and the reactive load node closest to the reactive source node into a reactive source partition, and obtain multiple reactive source partitions of the power system.

[0080] The number of reactive source partitions is the same as the number of reactive source nodes in the power system.

[0081] Cluster analysis is a data analysis technique that aims to group specific or abstract objects according to their similarities to form multiple categories. Its core goal is to effectively classify the elements in a set through a similarity measure between data. In the context of reactive power voltage control in power grids, considering that voltage partitions need to be divided according to the similarity of electrical distances between nodes, cluster analysis methods have become an effective means to achieve reactive power partitioning.

[0082] When formulating the strategy of reactive voltage control partitioning, in order to ensure that each partition can obtain sufficient reactive support, the first step is to determine the number of reactive source partitions, which can usually be preset based on the number of reactive source nodes in the power grid, that is, the number of reactive source partitions is set to be the same as the number of reactive source nodes in the power system. Subsequently, cluster analysis technology is used to perform preliminary classification processing based on the distance relationship between the load node and each reactive source node. In this process, the load node will follow the principle of the closest electrical distance, and the reactive load node will be assigned to the partition where the reactive source node with the closest electrical distance is located, so as to achieve preliminary partitioning.

[0083] After completing the initial clustering, it is necessary to further ensure the connectivity of the nodes within each partition, that is, to ensure that there is an effective electrical connection path between the nodes within the partition to meet the basic requirements of power grid operation. Through such processing, not only can reactive power partitioning based on electrical similarity be achieved, but it can also ensure that each partition has sufficient reactive power support capacity, providing strong support for reactive power voltage control of the power grid.

[0084] S4: With the goal of minimizing the distance evaluation function value, all reactive source partitions are secondary clustered to obtain a reactive voltage control partitioning scheme, where the distance evaluation function comprehensively considers the inter-class distance and the intra-class distance; the closer the inter-class distance and the intra-class distance are, the smaller the distance evaluation function value is; both the intra-class distance and the inter-class distance are calculated based on the electrical distance between the reactive nodes.

[0085] Specifically, the distance evaluation function is equal to the absolute value of the intra-class distance divided by the inter-class distance minus 1, and the number of classes obtained by the secondary clustering is greater than 1 and less than or equal to the square root of the sum of the number of reactive source nodes and reactive load nodes in the power system.

[0086] After completing the initial clustering partition based on reactive source node division, that is, obtaining n reactive source partitions, in order to further optimize the effect of reactive voltage partition control, it is necessary to appropriately merge these reactive source partitions to determine an optimal number of partitions. The purpose of this process is to seek a balance point, so as to more effectively manage voltage control.

[0087] From the perspective of the tightness of electrical connection, that is, electrical distance, the ideal clustering result should meet the principle of "close within the class, distant between classes", that is, the electrical distance between nodes in the same partition should be as close as possible, while the electrical distance between nodes in different partitions should be relatively far. In order to quantitatively evaluate this standard and judge the pros and cons of clustering results and the number of partitions, a specific distance evaluation function is used as an evaluation tool. The calculation method of the distance evaluation function will comprehensively consider the measurement of the distance within the class and the distance between the classes, and quantify the quality of the clustering effect through a mathematical model. The calculation method is:

[0088] Intra-class distance D in It is the sum of the internal distances of all the classes clustered out by the second clustering, where the internal distance of each class is the sum of the errors between all the data points in the class and the mean of the data points, where the data points refer to the electrical distances between the nodes outside the class center and the class center; the class center is the center clustered out from all the reactive source nodes in the class, which is calculated based on the electrical distances between the reactive source nodes in the class.

[0089] The average electrical distance between all nodes in each cluster;

[0090]

[0091]

[0092] Where D in is the intra-class distance, V i Class C is the secondary clustering i The mean of the data points; X is the class C obtained by secondary clustering i A data point in , k is the number of clusters obtained by secondary clustering, that is, the number of partitions, X j Indicates that it belongs to class C i The data point is equal to class C i The electrical distance between the middle node j and the center of the class. The center of the class is the center clustered from all reactive source nodes in the class. It is calculated based on the electrical distance between reactive source nodes in the class. Node j is the remaining node except the class center. N i Represents class C i The number of data points in .

[0093] The inter-class distance is the sum of the distances from the mean of the data points of each class clustered from the second clustering to the global center. The global center is calculated by averaging the mean of the data points of all classes.

[0094]

[0095] Where D out is the distance between classes, and V is the global center, which is obtained by averaging the mean of data points of all classes.

[0096] The distance evaluation function is equal to the absolute value of the intra-class distance divided by the inter-class distance minus 1, as shown below:

[0097] F(X,k)=D in / D out -1

[0098] In the formula, F(X,k) is the distance evaluation function value, k is the number of partitions, that is, the number of classes obtained by secondary clustering. According to traditional experience, the value range of k is

[0099] According to the intra-class distance D in and the inter-class distance D out From the calculation process, we can see that the intra-class distance D in is an increasing function of the number of partitions k, and the distance between classes D out is a decreasing function of the number of partitions k. The closer the two are, the smaller the value of the distance evaluation function is. When the distance evaluation function takes the minimum value, the reactive voltage partition achieves a relatively optimal state, that is, an ideal solution for the reactive voltage partition. Based on this principle, the distance evaluation function can be used to perform secondary clustering on the partitions initially divided based on the reactive source nodes to further adjust and optimize the partition structure, thereby obtaining the final optimal clustering result, which is the final reactive voltage control partitioning scheme.

[0100] Combining the preliminary partitioning method based on sensitivity matrix and reactive source nodes, and the optimal partitioning optimization method based on distance evaluation function, the embodiment discloses a reactive voltage control partitioning method for the main grid of a power system, which uses the active and reactive power imbalance equations in the power system flow calculation to construct a flow correction equation, and calculates the sensitivity of the reactive source node voltage to the reactive load node voltage through decoupling processing, that is, evaluates the supporting capacity of the reactive source node to the voltage of other nodes; then, constructs an electrical distance matrix characterizing the voltage supporting capacity as the data basis for subsequent partitioning operations; then, performs initial partitioning based on sensitivity: sets the number of reactive source nodes n in the power grid to the number of initial partitions, evaluates the electrical distance between each reactive load node and all reactive source nodes, and assigns the load node to the partition where the corresponding reactive source node is located according to the principle of the shortest electrical distance, while ensuring the connectivity of the partition, thereby completing the preliminary partitioning based on the sensitivity matrix; then, performs secondary clustering on the preliminary partitions, sets the initial value of the number of partitions k to 2, and starts to arrange and combine the initial n reactive source partitions, trying to merge them into k partitions. For each partitioning method, calculate the value of the distance evaluation function F(S,k) and output the result for subsequent comparison; determine whether k exceeds the preset maximum value (this value is determined by the number of reactive source nodes n and the number of other nodes m, specifically ), if it does not exceed, then k=k+1 and then repeat the secondary clustering and evaluation process; if it exceeds, compare the values ​​of the distance evaluation function F(S,k) calculated under all different cluster numbers k, and select the cluster number that makes F(S,k) reach the minimum value and its corresponding partition result as the final optimal reactive voltage control partition scheme, which can maximize the electrical distance difference between partitions while ensuring the reactive support capacity within the partition, and realize effective reactive voltage control partition management.

[0101] In order to verify the effect of the reactive power and voltage control zoning strategy proposed in this implementation, a New England 10-machine 39-node simulation model with multiple wind farms connected is selected. Its system structure is as follows: Figure 2 As shown in the figure. In this simulation model, there are 5 wind farms connected to the system, which are connected through nodes 8, 10, 21, 23 and 29 respectively. The 5 wind farms are numbered WF1 to WF5. Each wind farm has 40 wind turbines deployed, and the installed capacity of each turbine is 5 megawatts (MW).

[0102] First, preliminary partitioning is performed based on reactive source nodes in the power grid. Since reactive source nodes 33 and 34 are interconnected through radial branches and belong to the same connected subgraph in terms of electrical connection, the partitions where these two reactive source nodes are located are merged into a unified partition.

[0103] After completing the above merging operation, we get Figure 3 The initial partitioning result is shown in the figure. In this figure, the part surrounded by the dotted line represents a reactive voltage control partition, and the serial number in the partition corresponds to the number of the reactive partition. After the initial partitioning strategy based on electrical distance and reactive source node voltage characteristics, the power system is divided into 9 reactive voltage control sub-areas.

[0104] Based on Figure 3 Based on the initial partitioning shown in , the partitioning strategy is further optimized using the distance evaluation function to determine the optimal clustering result and its corresponding number of clusters. According to the empirical formula, for the IEEE 39-node system, the reasonable number of clusters k should be in the interval [2,6]. The distance evaluation function F(X,k) value for each possible combination of the number of clusters k is calculated. Subsequently, the minimum value of F(X,k) among all clustering results under the same number of clusters is selected as the optimal partitioning result under the number of clusters. Figure 4 As shown in , by comparing the optimal F(X,k) values ​​under different cluster numbers, when the system is divided into 6 partitions, the distance evaluation function F(X,k) takes the minimum value. This shows that the 6-partition scheme is optimal in balancing the electrical tightness within the partition and the independence between partitions. Therefore, the partition result that minimizes F(X,k) is as follows Figure 5 shown.

[0105] The present embodiment discloses a reactive voltage control zoning method for the main grid of an electric power system. The reactive voltage zoning method proposed is simple and easy to implement, and can realize reactive zoning and reactive balance of the electric power system faster and more effectively, thereby ensuring the voltage stability of the electric power system and guaranteeing the safe, efficient and stable operation of the power grid.

[0106] Example 2

[0107] In this embodiment, a power system main grid reactive voltage control partition system is disclosed, including:

[0108] A data acquisition module, used to acquire the data required for reactive power voltage partitioning of the power system;

[0109] An electrical distance determination module, used to determine the electrical distance between reactive nodes of the power system based on the acquired data;

[0110] The primary clustering module is used to perform primary clustering of reactive nodes in the power system according to the electrical distance between reactive nodes in the power system, cluster each reactive source node of the power system and the reactive load node closest to the reactive source node into a reactive source partition, and obtain multiple reactive source partitions of the power system;

[0111] The secondary clustering module is used to perform secondary clustering on all reactive source partitions with the goal of minimizing the distance evaluation function value to obtain a reactive voltage control partitioning scheme, wherein the distance evaluation function comprehensively considers the inter-class distance and the intra-class distance; the closer the inter-class distance and the intra-class distance are, the smaller the distance evaluation function value is; both the intra-class distance and the inter-class distance are calculated based on the electrical distance between the reactive nodes.

[0112] The present invention also discloses a computer device, which includes:

[0113] a processor adapted to execute a computer program;

[0114] A computer-readable storage medium, wherein a computer program is stored in the computer-readable storage medium, and when the computer program is executed by the processor, a method for controlling reactive voltage zoning of a main grid of a power system disclosed in Example 1 is implemented.

[0115] The present invention also discloses a computer-readable storage medium storing a computer program, wherein the computer program is suitable for being loaded by a processor and executing a method for reactive voltage control zoning of a main grid of a power system disclosed in Example 1.

[0116] The present invention also discloses a computer program product, which includes a computer program. When the computer program is executed by a processor, it implements a method for controlling reactive voltage zoning of a main grid of a power system disclosed in Example 1.

[0117] The method disclosed in Example 1 can be directly embodied as a hardware processor, or can be executed by a combination of hardware and software modules in the processor. The software module can be located in a mature storage medium in the field such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory, or an electrically erasable programmable memory, a register, etc. The storage medium is located in the memory, and the processor reads the information in the memory and completes the steps of the above method in combination with its hardware. To avoid repetition, it will not be described in detail here.

[0118] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with this embodiment can be implemented in electronic hardware or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0119] Although the above describes the specific implementation mode of the present invention in conjunction with the accompanying drawings, it is not intended to limit the scope of protection of the present invention. Those skilled in the art should understand that various modifications or variations that can be made by those skilled in the art on the basis of the technical solution of the present invention without creative work are still within the scope of protection of the present invention.

Claims

1. A method for controlling reactive voltage zoning of a main grid of an electric power system, characterized in that: include: Obtain the data required for reactive power and voltage partitioning of the power system; Based on the acquired data, determine the electrical distance between reactive nodes in the power system; According to the electrical distance between the reactive nodes of the power system, the reactive nodes in the power system are initially clustered, and each reactive source node of the power system and the reactive load node closest to the reactive source node are clustered into a reactive source partition, so as to obtain multiple reactive source partitions of the power system; With the goal of minimizing the distance evaluation function value, all reactive source partitions are secondary clustered to obtain the reactive voltage control partition scheme, in which the distance evaluation function comprehensively considers the inter-class distance and the intra-class distance; the closer the inter-class distance and the intra-class distance are, the smaller the distance evaluation function value is; both the intra-class distance and the inter-class distance are calculated based on the electrical distance between the reactive nodes.

2. A method for controlling reactive power and voltage in a power system main grid as claimed in claim 1, characterized in that: Determine the sensitivity of reactive source node voltage and reactive load node voltage of the power system based on the acquired data; Determine the electrical distance between the reactive source node and the reactive load node in the power system according to the sensitivity of the reactive source node voltage and the reactive load node voltage in the power system; According to the electrical distance between the reactive source node and the reactive load node, the electrical distance between any two reactive nodes in the power system is determined.

3. A method for controlling reactive power and voltage in a power system main grid as claimed in claim 1, characterized in that: The distance evaluation function is equal to the absolute value of the intra-class distance divided by the inter-class distance minus 1.

4. A method for controlling reactive power and voltage in a power system main grid as claimed in claim 1, characterized in that: The number of reactive source partitions is the same as the number of reactive source nodes in the power system.

5. A method for controlling reactive power and voltage in a power system main grid as claimed in claim 1, characterized in that: The intra-class distance is the sum of the internal distances of all classes clustered by the second clustering, where the internal distance of each class is the sum of the errors between all data points in the class and the mean of the data points, where the data points refer to the electrical distances between nodes outside the class center and the class center; the class center is the center clustered from all reactive source nodes in the class, and is calculated based on the electrical distances between reactive source nodes in the class; The inter-class distance is the sum of the distances from the mean of the data points of each class clustered from the second clustering to the global center. The global center is calculated by averaging the mean of the data points of all classes.

6. A method for controlling reactive power and voltage in a power system main grid as claimed in claim 1, characterized in that: The number of clusters obtained by secondary clustering is greater than 1 and less than or equal to the square root of the sum of the number of reactive source nodes and reactive load nodes in the power system.

7. A reactive voltage control zoning system for the main grid of an electric power system, characterized in that: include: A data acquisition module, used to acquire the data required for reactive power voltage partitioning of the power system; An electrical distance determination module, used to determine the electrical distance between reactive nodes of the power system based on the acquired data; The primary clustering module is used to perform primary clustering of reactive nodes in the power system according to the electrical distance between reactive nodes in the power system, cluster each reactive source node of the power system and the reactive load node closest to the reactive source node into a reactive source partition, and obtain multiple reactive source partitions of the power system; The secondary clustering module is used to perform secondary clustering on all reactive source partitions with the goal of minimizing the distance evaluation function value to obtain a reactive voltage control partitioning scheme, wherein the distance evaluation function comprehensively considers the inter-class distance and the intra-class distance; the closer the inter-class distance and the intra-class distance are, the smaller the distance evaluation function value is; both the intra-class distance and the inter-class distance are calculated based on the electrical distance between the reactive nodes.

8. An electronic device, characterized in that: The device comprises: a processor adapted to execute a computer program; A computer-readable storage medium, wherein a computer program is stored in the computer-readable storage medium, and when the computer program is executed by the processor, a method for controlling reactive voltage zoning of a main grid of a power system according to any one of claims 1 to 6 is implemented.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and the computer program is suitable for being loaded by a processor and executing a method for reactive voltage control zoning of a main grid of a power system as described in any one of claims 1-6.

10. A computer program product, characterized in that The computer program product includes a computer program, and when the computer program is executed by a processor, it implements the method for reactive voltage control zoning of the main grid of a power system as described in any one of claims 1-6.

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