A network configuration type technical solution selection method and device for replacing a power system phase modifier, an electronic device, and a storage medium

Abstract

The application discloses a network configuration type technical scheme selection method and device for replacing a power system phase modifier, electronic equipment and a storage medium. The method is based on a specified technical and economic index, a first evaluation matrix is established for the phase modifier, and a second evaluation matrix is established for each candidate network configuration type technical scheme. The first evaluation matrix and the second evaluation matrix are respectively analyzed by using an analytic hierarchy process and an entropy weight method, and a comprehensive weight vector is determined for the specified technical and economic index. The evaluation total scores of the phase modifier and each candidate network configuration type technical scheme are calculated according to the comprehensive weight vector. The replacement degree of each candidate network configuration type technical scheme for the phase modifier is determined according to the evaluation total scores. The target network configuration type technical scheme that can replace the phase modifier is determined according to the evaluation total scores and the replacement degree. The technical scheme of the application realizes all-round evaluation and scientific selection of the network configuration type technical scheme, improves the scientific nature of the evaluation result, and provides decision support for the planning and construction of power system network configuration type supporting equipment.

Description

Technical Field

[0001] This invention relates to the field of power technology, and in particular to a method, apparatus, electronic device, and storage medium for selecting a grid-type technical solution to replace synchronous condensers in power systems. Background Technology

[0002] Guided by the "dual carbon" goals, the power system is accelerating its transformation into a "dual high" system, leading to frequent problems such as declining system inertia, insufficient short-circuit capacity, voltage instability, and wide-frequency oscillations. Synchronous condensers, with their inherent self-generated reactive power response and inertia support characteristics, have long served as a crucial means of supporting grid voltage. However, as large rotating equipment, synchronous condensers face limitations such as high investment and maintenance costs, difficulties in site selection, and long construction periods.

[0003] Grid-based technologies simulate the external characteristics of synchronous generators, enabling power electronic devices to exhibit voltage source characteristics. These devices can autonomously construct voltage and frequency, providing inertia and voltage support for the power grid. Currently, grid-based technologies already in engineering applications exhibit significant differences in topology, control strategies (virtual synchronous machine control, droop control, power synchronization control, etc.), key performance parameters (inertia constant, overcurrent capacity, response speed, etc.), and economic costs. Existing technologies focus on addressing the questions of "how much" and "where" to deploy grid-based equipment, failing to scientifically select the optimal alternative from various grid-based technologies. Summary of the Invention

[0004] This invention provides a method, device, electronic equipment, and storage medium for selecting grid-type technical solutions to replace synchronous condensers in power systems. This enables comprehensive evaluation and scientific selection of grid-type technical solutions, improves the scientific validity of evaluation results, and provides decision support for the planning and construction of grid-type support equipment for power systems.

[0005] According to one aspect of the present invention, a method for selecting a grid-type technical solution to replace synchronous condensers in power systems is provided, the method comprising:

[0006] Based on specified technical and economic indicators, a first evaluation matrix is ​​established for the synchronous condenser, and a second evaluation matrix is ​​established for each candidate network configuration technical solution.

[0007] The first evaluation matrix and the second evaluation matrix are analyzed using a preset analysis method to determine a comprehensive weight vector for the specified technical and economic indicators; the preset analysis method includes the analytic hierarchy process and the entropy weight method.

[0008] The total evaluation score is calculated for the camera adjustment device and each candidate network structure technical solution based on the comprehensive weight vector.

[0009] The degree of substitution for the synchronous condenser is determined for each candidate mesh-type technical solution based on the total evaluation score.

[0010] The target meshing technology solution that can replace the camera converter is determined based on the total evaluation score and the degree of substitution.

[0011] According to another aspect of the present invention, a grid-type technical solution selection device for replacing synchronous condensers in power systems is provided, the device comprising:

[0012] The evaluation matrix establishment module is used to establish a first evaluation matrix for the synchronous condenser based on specified technical and economic indicators, and to establish a second evaluation matrix for each candidate network structure technical solution.

[0013] The comprehensive weight vector determination module is used to analyze the first evaluation matrix and the second evaluation matrix respectively using a preset analysis method to determine the comprehensive weight vector for the specified technical and economic indicators; the preset analysis method includes the analytic hierarchy process and the entropy weight method.

[0014] The total evaluation score calculation module is used to calculate the total evaluation score for the camera adjuster and each candidate network structure technical solution based on the comprehensive weight vector.

[0015] The substitution degree determination module is used to determine the substitution degree of each candidate mesh-type technical solution for the synchronous condenser based on the total evaluation score;

[0016] The alternative solution determination module is used to determine the target meshing technology solution that can replace the camera converter based on the total evaluation score and the degree of substitution.

[0017] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising:

[0018] At least one processor; and

[0019] A memory communicatively connected to the at least one processor; wherein,

[0020] The memory stores a computer program that can be executed by the at least one processor, which enables the at least one processor to perform the grid configuration technology selection method for alternative power system synchronous condensers as described in any embodiment of the present invention.

[0021] According to another aspect of the present invention, a computer-readable storage medium is provided, the computer-readable storage medium storing computer instructions, the computer instructions being configured to cause a processor to execute and implement the method for selecting a grid configuration technology solution for an alternative power system synchronous condenser as described in any embodiment of the present invention.

[0022] The technical solution of this invention establishes a first evaluation matrix for synchronous condensers based on specified technical and economic indicators, and a second evaluation matrix for each candidate network structure technical solution. It then uses a pre-defined analysis method, including the analytic hierarchy process (AHP) and entropy weighting, to analyze the first and second evaluation matrices respectively, determining a comprehensive weight vector for the specified technical and economic indicators. Based on the comprehensive weight vector, it calculates the total evaluation score for both the synchronous condenser and each candidate network structure technical solution. Based on the total evaluation score, it determines the degree of substitution of each candidate network structure technical solution for the synchronous condenser. Finally, it determines the target network structure technical solution that can replace the synchronous condenser based on the total evaluation score and the degree of substitution. By constructing a functional equivalence evaluation matrix for the synchronous condenser and the network structure technical solution, and employing a comprehensive evaluation method combining the AHP and entropy weighting, this invention solves the problem that existing technologies cannot scientifically select the optimal alternative from multiple network structure technical solutions. It achieves a comprehensive evaluation and scientific selection of network structure technical solutions, improves the scientific nature of the evaluation results, and provides decision support for the planning and construction of power system network support equipment.

[0023] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of the present invention, nor is it intended to limit the scope of the invention. Other features of the invention will become readily apparent from the following description. Attached Figure Description

[0024] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying 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.

[0025] Figure 1 A flowchart illustrating a method for selecting a grid configuration technology solution to replace synchronous condensers in a power system, as provided in Embodiment 1 of the present invention;

[0026] Figure 2 This is a schematic diagram of a grid-type technical solution selection device for replacing synchronous condensers in a power system, provided in Embodiment 2 of the present invention.

[0027] Figure 3 This is a schematic diagram of the structure of an electronic device that implements the method for selecting a grid-type technical solution for replacing the synchronous condenser in a power system according to embodiments of the present invention. Detailed Implementation

[0028] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0029] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0030] Example 1

[0031] Figure 1 This is a flowchart illustrating a method for selecting a grid-based technical solution to replace a synchronous condenser in a power system, as provided in Embodiment 1 of the present invention. This embodiment is applicable to situations where a synchronous condenser in a power system is replaced using a grid-based technical solution. This method can be executed by a grid-based technical solution selection device for replacing a synchronous condenser in a power system. This device can be implemented in hardware and / or software and can be configured in a server. Figure 1 As shown, the method includes:

[0032] S110. Based on the specified technical and economic indicators, establish a first evaluation matrix for the synchronous condenser and a second evaluation matrix for each candidate network configuration technical solution.

[0033] The specified technical and economic indicators can be metrics reflecting the technical level and economic effectiveness of synchronous condensers or candidate grid-type technical solutions in the power system. These indicators may include at least one of the following: short-circuit current gain, transient overvoltage suppression rate, reactive power dynamic support, continuous reactive power regulation capability, broadband oscillation suppression capability, and total life-cycle cost. Candidate grid-type technical solutions can be alternatives to synchronous condensers, and may at least encompass grid-type energy storage systems, grid-type static var generators, static synchronous condensers, and random combinations thereof.

[0034] This embodiment establishes technical and economic indicators, including short-circuit current gain, transient overvoltage suppression rate, reactive power dynamic support, continuous reactive power regulation capability, broadband oscillation suppression capability, and total life-cycle cost, based on the actual support provided to the power grid by synchronous condensers and various candidate grid configurations. Among these, short-circuit current gain, transient overvoltage suppression rate, reactive power dynamic support, continuous reactive power regulation capability, and broadband oscillation suppression capability can be extremely large indicators (higher values ​​indicate better evaluation results); total life-cycle cost can be extremely small indicators (lower values ​​indicate better evaluation results).

[0035] The first evaluation matrix established in this embodiment can be represented as F=[f1,f2,…,fn], where f1, f2,…,fn, etc., represent the above-mentioned technical and economic indicators in turn.

[0036] This embodiment can also determine m candidate network structure technical solutions. Through technical parameters provided by equipment manufacturers, electromagnetic transient simulations, or field tests, the actual performance values ​​of each candidate network structure technical solution under the aforementioned technical and economic indicators are collected, constituting... The second evaluation matrix G is given by the elements of which are the original values ​​of the i-th candidate network structure technology scheme on the j-th technical and economic indicator.

[0037] In this embodiment, for the electrical performance indicators (short-circuit current gain, transient overvoltage suppression rate, reactive power dynamic support, continuous reactive power regulation capability, and broadband oscillation suppression capability) among the aforementioned technical and economic indicators, the values ​​of each indicator can be extracted and calculated by establishing an electromagnetic transient simulation scenario that includes synchronous condensers or candidate network configurations, and applying corresponding test conditions (short-circuit fault, voltage sag, frequency ramp, impedance sweep, etc.). For the life-cycle cost indicator, it can be calculated based on equipment supplier quotations, typical operation and maintenance data, and project financial parameters. Example:

[0038] Short-circuit current gain ( Electromagnetic transient simulation can be used to simulate a three-phase short-circuit fault at the grid connection point under rated operating conditions, and measure the difference in the effective value of the short-circuit current before and after the connection of the synchronous condenser or candidate grid configuration technology. ,calculate ( The rated current of the camera or candidate grid-type technical solution can be expressed in per-unit value or kiloampere (kA).

[0039] Transient overvoltage suppression rate ( In simulation or field testing, set up a typical fault (such as a single-phase ground fault) and disconnect it, then record the peak transient overvoltage when there is no synchronous condenser or a candidate grid-type technical solution. Transient overvoltage peak value after connecting synchronous condensers or candidate network configuration technologies Calculate the inhibition rate .

[0040] Dynamic support for reactive power ( ): Apply a fault with a voltage drop to 0.2 pu at the grid connection point, and measure the reactive current amplitude provided by the synchronous condenser or candidate grid configuration within the first power frequency cycle after the fault. Dynamic reactive power support ratio It can be compared with the maximum transient overcurrent capacity allowed by synchronous condenser or candidate mesh-type technical solutions.

[0041] Continuous reactive power regulation capability ( ): Using camera adjustment or candidate mesh configuration techniques can maximize inductive reactive power Maximum capacitive reactive power Duration of continuous and stable operation Characterization. Can be quantified as a capacity per-unit value. and duration Two sub-indicators.

[0042] Wideband oscillation suppression capability ( ): Measuring the performance of a phase shifter or candidate mesh configuration in a specific frequency band (e.g., 1Hz) using the impedance sweep frequency method. Calculate the equivalent impedance within 2000Hz and the frequency range in which it exhibits positive resistance. and the minimum damping coefficient within this frequency band (A positive value indicates positive damping). A comprehensive index can be used. .

[0043] Total life cycle cost ( ): Using the net present value method, ,in This indicates the initial investment in a camera shifter or candidate mesh configuration technology solution. This represents the annual maintenance cost for the camera adjustment mechanism or candidate network architecture technical solution. This represents the expected annual failure loss for the synchronous condenser or candidate network configuration technology solution. This indicates the decommissioning and recycling value of the camera or candidate network configuration technology solution. This represents the discount rate for adjusting the camera or candidate mesh configuration technology. This indicates the total lifespan in years for the camera shifter or candidate mesh configuration technology solution.

[0044] S120. The first evaluation matrix and the second evaluation matrix are analyzed using preset analysis methods to determine the comprehensive weight vector for the specified technical and economic indicators. The preset analysis methods include the analytic hierarchy process (AHP) and the entropy weight method.

[0045] In this embodiment, the first evaluation matrix of the camera and the second evaluation matrix of the candidate network structure technical solutions can be adjusted separately, and a comprehensive analysis method can be used to analyze and determine the comprehensive weight of each technical and economic indicator.

[0046] In one optional implementation, a preset analysis method is used to analyze the first evaluation matrix and the second evaluation matrix respectively to determine the comprehensive weight vector for a specified technical and economic indicator. This may include: performing homogenization and standardization on the first and second evaluation matrices to obtain a standardized first evaluation matrix and a standardized second evaluation matrix; processing the standardized first evaluation matrix using the analytic hierarchy process (AHP) to obtain a first subjective weight vector; processing the standardized first evaluation matrix using the entropy weight method to obtain a first objective weight vector; fusing the first subjective weight vector and the first objective weight vector according to specified coefficients to obtain a first comprehensive weight vector corresponding to the first evaluation matrix; processing the standardized second evaluation matrix using the AHP to obtain a second subjective weight vector; processing the standardized second evaluation matrix using the entropy weight method to obtain a second objective weight vector; and fusing the second subjective weight vector and the second objective weight vector according to specified coefficients to obtain a second comprehensive weight vector corresponding to the second evaluation matrix.

[0047] This embodiment can use the analytic hierarchy process (AHP) and the entropy weight method to determine the comprehensive weight of each technical and economic indicator.

[0048] Based on the above optional implementation methods, the first evaluation matrix and the second evaluation matrix are subjected to homogenization and standardization processing to obtain a standardized first evaluation matrix and a standardized second evaluation matrix. This may include: converting all index values ​​in the first evaluation matrix and the second evaluation matrix into extremely large indicators to obtain a homogenized first evaluation matrix and a homogenized second evaluation matrix; determining the maximum and minimum values ​​of each technical and economic indicator in each candidate network structure technical solution based on the homogenized second evaluation matrix; and performing range transformation on each element in the homogenized first evaluation matrix and the homogenized second evaluation matrix based on the maximum and minimum values ​​to obtain a standardized first evaluation matrix and a standardized second evaluation matrix.

[0049] This embodiment can unify all indicators in the second evaluation matrix G and the first evaluation matrix F, transforming them into extremely large indicators. For extremely small indicators (such as total life cycle cost), the reciprocal method or the difference method can be used for transformation to ensure that the larger the value, the better the benefit. Subsequently, the dimensionless standardization of the unified second evaluation matrix G can be performed using the range transformation method to eliminate the influence of the dimensions and orders of magnitude of each indicator, mapping the values ​​to the [0,1] interval, to obtain the standardized second evaluation matrix Y. The same standardization process is performed on the unified first evaluation matrix F to obtain the standardized first evaluation matrix. The relevant range transformation method and standardization process can be described as follows:

[0050] After the homogenization process, all technical and economic indicators have been converted to extremely large values, resulting in the homogenized first evaluation matrix. With the homogenization of the second evaluation matrix .in, Indicates the first The expected value of the homogenization target for each indicator. Indicates the first The candidate network architecture solutions are in the first The homogenization value on each indicator.

[0051] Furthermore, for each indicator ( (This can be based on the homogenized second evaluation matrix) The minimum and maximum values ​​for this indicator are calculated using homogenized data: This embodiment uses the data range of the candidate network structure technology solution itself as the standardization benchmark, which reflects the actual performance distribution of the currently available technology solutions, so that the standardized values ​​are relatively comparable among the solutions.

[0052] Furthermore, for the homogenized second evaluation matrix elements in The range transformation can be performed using the following formula to obtain the standardized value. : ,when hour, Linearly mapped to Interval: This indicates that the index is the worst among all candidate network configuration technologies. This indicates relative optimality. When a certain indicator has the same value across all candidate network configurations (…), it means that the network configuration is relatively optimal. When this metric lacks discriminatory power, it can be uniformly assigned the median value of 0.5 to maintain data dimensionality and avoid a denominator of zero. For all Performing the above transformation yields the standardized second evaluation matrix. .

[0053] Furthermore, the first evaluation matrix of the same direction is... Each element in Using the same baseline parameters as the candidate mesh configuration schemes. and Perform range transformation: Thus, the standardized first evaluation matrix is ​​obtained. Since the standardized benchmarks are derived solely from the numerical ranges of candidate mesh-type technical solutions, It may exceed the [0,1] interval. If the objective is set to be better than the existing optimal solution (e.g., lower cost or higher short-circuit current), then If the objective is lower than the worst-case scenario, then This result reasonably reflects the gap between the expected replacement of network-based technologies and the current technical specifications of synchronous condensers.

[0054] Based on the above optional implementation methods, the processing flow of the analytic hierarchy process can be as follows: Compare the importance of each element in the current processing matrix pairwise from the perspectives of k experts to obtain k judgment matrices; the current processing matrix is ​​either a standardized first evaluation matrix or a standardized second evaluation matrix; determine the current judgment matrix from the k judgment matrices; calculate the maximum eigenvalue and the corresponding eigenvector for each judgment matrix, and normalize the eigenvectors to obtain k candidate subjective weight vectors; calculate the average value of the k candidate subjective weight vectors to obtain the current subjective weight vector corresponding to the current processing matrix; the current subjective weight vector is either a first subjective weight vector or a second subjective weight vector.

[0055] Based on the above optional implementation methods, the processing flow of the entropy weight method can be as follows: Each element in the current processing matrix is ​​shifted by a preset step size to obtain a shifted matrix; the current processing matrix is ​​either a standardized first evaluation matrix or a standardized second evaluation matrix; based on the shifted matrix, the feature weight of each scheme under the current technical and economic indicators is calculated; each scheme is either a synchronous condenser or a candidate network structure technical scheme; the information entropy of the current technical and economic indicators is calculated based on the feature weights; the information entropy redundancy of the current technical and economic indicators is calculated based on the information entropy; the current objective weight vector corresponding to the current processing matrix is ​​obtained based on the proportion of the information entropy redundancy of each technical and economic indicator to the total information entropy redundancy of all technical and economic indicators; the current objective weight vector is either a first objective weight vector or a second objective weight vector.

[0056] For example, the standardized first evaluation matrix can be evaluated using the expert experience method (from the perspective of k experts). Given n technical and economic indicators, compare them pairwise according to their importance, and construct k judgment matrices A(k) = [a pq(k) The matrix ]n×n satisfies reciprocity, that is , , .

[0057] Furthermore, for each judgment matrix, the largest eigenvalue of that matrix can be calculated. and its corresponding eigenvectors , to feature vector After normalization, it becomes the weight vector corresponding to the current judgment matrix. , , p = 1, 2, ..., n, where, Representing the eigenvector elements, Indicates after normalization The elements. By applying the same processing logic to the k judgment matrices, k weight vectors can be obtained. Furthermore, the average of these k weight vectors can be calculated to obtain the first subjective weight vector W required in this embodiment. 1主 .

[0058] Furthermore, the standardized first evaluation matrix can be used. The elements in the text are translated to obtain After translation, we get Analysis using entropy weight method The first objective weight vector W required in this embodiment is obtained. 1客 .

[0059] Furthermore, W is adjusted according to the specified coefficients. 1主 and W 1客 The fusion process yields the first comprehensive weight vector W1.

[0060] For example, the standardized second evaluation matrix can be evaluated using an expert experience method (from the perspective of k experts). For the n technical and economic indicators of the m possible solutions, compare them pairwise according to their importance to construct k judgment matrices. Then, using the same method described above, obtain the second subjective weight vector W required in this embodiment. 2主 .

[0061] Furthermore, to ensure the stability of entropy calculation, the standardized second evaluation matrix can be used. The elements in the text are translated to obtain ,in It can be a very small positive number, and after translation, we get a matrix. .

[0062] Furthermore, for each techno-economic indicator j, calculate the characteristic weight p of the i-th scheme under that indicator.ij : (i=1,2,…,m;j=1,2,…,n).

[0063] Furthermore, based on the aforementioned feature weights, the information entropy e of the j-th techno-economic indicator... j It can be: (j=1,2,…,n).

[0064] Furthermore, calculate the information entropy redundancy (difference coefficient) of the j-th techno-economic indicator: Further calculate the entropy weight. That is, the proportion of the information entropy redundancy of each technical and economic indicator to the total information entropy redundancy of all technical and economic indicators: Thus, the objective weight vector required in this embodiment is obtained: ,satisfy .

[0065] Furthermore, and Fusion, introducing specified coefficients Balancing the contributions of subjective and objective factors: (j=1,2,…,n); then the second comprehensive weight vector can be represented as W2=[w1,w2…,wn], which can be taken as... ,when This indicates purely subjective empowerment. "Time" indicates purely objective empowerment.

[0066] S130. Calculate the total evaluation score for the camera and each candidate network structure technical scheme based on the comprehensive weight vector.

[0067] In one optional implementation, calculating the total evaluation score based on the integrated weight vector for the phase shifter and each candidate network structure technical solution may include: multiplying the standardized first evaluation matrix with the transpose of the first integrated weight vector to obtain the total evaluation score of the phase shifter; multiplying the standardized second evaluation matrix with the transpose of the second integrated weight vector, and using each element in the multiplication result as the total evaluation score of each candidate network structure technical solution.

[0068] This embodiment can be based on the standardized first evaluation matrix. The total evaluation score of the camera is calculated using the first comprehensive weight vector W1. S represents the theoretically required weighted total score for a network-based technical solution to fully satisfy the requirements of replacing a synchronous condenser, given a predetermined level of indicator importance. For each candidate network-based technical solution... The overall score of the scheme is obtained by summing the scores of each indicator in the weighted standardized matrix. .

[0069] S140. Determine the degree of substitution of the camera for each candidate network-type technical solution based on the total evaluation score.

[0070] In one alternative implementation, determining the degree of substitution of the camera for each candidate mesh-type technical solution based on the total evaluation score may include: calculating the current ratio of the total evaluation score of the current candidate mesh-type technical solution to the total evaluation score of the camera; and using the current ratio as the degree of substitution of the camera for the current candidate mesh-type technical solution.

[0071] This embodiment can define the proximity of the i-th candidate network topology scheme. For its overall score Overall score of camera evaluation The ratio: , This intuitively reflects the percentage of time that the overall performance of the candidate mesh-type technical solution reaches the level of replacing the synchronous condenser. When When the overall score of the candidate network structure technology solution has fully met or exceeded the requirements for replacing the synchronous condenser, it indicates that the solution has achieved a high score. At that time, it was indicated that the candidate mesh-type technical solution still had a gap with the alternative synchronous condenser.

[0072] S150. Determine the target network configuration technical solution that can replace the camera converter based on the total evaluation score and the degree of substitution.

[0073] Optionally, the candidate network-type technical solution with the highest total evaluation score and the highest degree of substitution can be selected as the target network-type technical solution.

[0074] This embodiment can categorize all candidate network topology technical solutions according to... Sort from largest to smallest, and select the one with the highest overall score. The highest-ranking candidate scheme is selected as the optimal network configuration technology to replace the synchronous condenser.

[0075] The technical solution of this embodiment establishes a first evaluation matrix for synchronous condensers based on specified technical and economic indicators, and a second evaluation matrix for each candidate network structure technical solution. It employs a pre-defined analysis method, including the analytic hierarchy process (AHP) and entropy weighting, to analyze the first and second evaluation matrices respectively, determining a comprehensive weight vector based on the specified technical and economic indicators. Based on the comprehensive weight vector, it calculates the total evaluation score for both the synchronous condenser and each candidate network structure technical solution. Based on the total evaluation score, it determines the degree of substitution of each candidate network structure technical solution for the synchronous condenser. Based on the total evaluation score and the degree of substitution, it determines the target network structure technical solution that can replace the synchronous condenser. By constructing a functional equivalence evaluation matrix for the synchronous condenser and the network structure technical solution, and using a comprehensive evaluation method combining the AHP and entropy weighting, it solves the problem that existing technologies cannot scientifically select the optimal alternative from multiple network structure technical solutions. This achieves a comprehensive evaluation and scientific selection of network structure technical solutions, improves the scientific nature of the evaluation results, and provides decision support for the planning and construction of power system network support equipment.

[0076] Example 2

[0077] Figure 2 This is a schematic diagram of a grid-type technical solution selection device for replacing synchronous condensers in a power system, provided in Embodiment 2 of the present invention. Figure 2 As shown, the device includes: an evaluation matrix establishment module 210, a comprehensive weight vector determination module 220, an evaluation total score calculation module 230, a degree of substitution determination module 240, and a replaceable scheme determination module 250. Wherein:

[0078] The evaluation matrix establishment module 210 is used to establish a first evaluation matrix for the synchronous condenser based on specified technical and economic indicators, and to establish a second evaluation matrix for each candidate network structure technical solution.

[0079] The comprehensive weight vector determination module 220 is used to analyze the first evaluation matrix and the second evaluation matrix respectively using a preset analysis method to determine the comprehensive weight vector for the specified technical and economic indicators; the preset analysis method includes the analytic hierarchy process and the entropy weight method.

[0080] The total evaluation score calculation module 230 is used to calculate the total evaluation score for the camera modulator and each candidate network structure technical solution according to the comprehensive weight vector.

[0081] The substitution degree determination module 240 is used to determine the substitution degree of each candidate mesh-type technical solution for the synchronous condenser based on the total evaluation score;

[0082] Alternative solution determination module 250 is used to determine the target meshing technology solution that can replace the camera converter based on the total evaluation score and the degree of substitution.

[0083] The technical solution of this embodiment establishes a first evaluation matrix for synchronous condensers based on specified technical and economic indicators, and a second evaluation matrix for each candidate network structure technical solution. It employs a pre-defined analysis method, including the analytic hierarchy process (AHP) and entropy weighting, to analyze the first and second evaluation matrices respectively, determining a comprehensive weight vector based on the specified technical and economic indicators. Based on the comprehensive weight vector, it calculates the total evaluation score for both the synchronous condenser and each candidate network structure technical solution. Based on the total evaluation score, it determines the degree of substitution of each candidate network structure technical solution for the synchronous condenser. Based on the total evaluation score and the degree of substitution, it determines the target network structure technical solution that can replace the synchronous condenser. By constructing a functional equivalence evaluation matrix for the synchronous condenser and the network structure technical solution, and using a comprehensive evaluation method combining the AHP and entropy weighting, it solves the problem that existing technologies cannot scientifically select the optimal alternative from multiple network structure technical solutions. This achieves a comprehensive evaluation and scientific selection of network structure technical solutions, improves the scientific nature of the evaluation results, and provides decision support for the planning and construction of power system network support equipment.

[0084] Optionally, the specified technical and economic indicators include at least one of the following: short-circuit current gain, transient overvoltage suppression rate, reactive power dynamic support, continuous reactive power regulation capability, wideband oscillation suppression capability, and total life cycle cost.

[0085] Optionally, the comprehensive weight vector determination module 220 may include:

[0086] The matrix processing unit is used to perform homogenization and standardization processing on the first evaluation matrix and the second evaluation matrix to obtain a standardized first evaluation matrix and a standardized second evaluation matrix.

[0087] The first subjective weight vector acquisition unit is used to process the standardized first evaluation matrix using the analytic hierarchy process to obtain the first subjective weight vector.

[0088] The first objective weight vector acquisition unit is used to process the standardized first evaluation matrix using the entropy weight method to obtain the first objective weight vector.

[0089] The first comprehensive weight vector acquisition unit is used to fuse the first subjective weight vector and the first objective weight vector according to a specified coefficient to obtain the first comprehensive weight vector corresponding to the first evaluation matrix.

[0090] The second subjective weight vector acquisition unit is used to process the standardized second evaluation matrix using the analytic hierarchy process to obtain the second subjective weight vector.

[0091] The second objective weight vector acquisition unit is used to process the standardized second evaluation matrix using the entropy weight method to obtain the second objective weight vector.

[0092] The second comprehensive weight vector acquisition unit is used to fuse the second subjective weight vector and the second objective weight vector according to the specified coefficient to obtain the second comprehensive weight vector corresponding to the second evaluation matrix.

[0093] Optional, matrix processing unit, specifically used for:

[0094] All index values ​​in the first evaluation matrix and the second evaluation matrix are converted into extremely large indexes to obtain the homogeneous first evaluation matrix and the homogeneous second evaluation matrix.

[0095] Based on the homogenized second evaluation matrix, determine the maximum and minimum values ​​of each technical and economic indicator in each candidate network structure technical solution;

[0096] Based on the maximum and minimum values, each element in the first and second oriented evaluation matrices is subjected to range transformation to obtain the first and second oriented evaluation matrices.

[0097] Optionally, the device for selecting the grid-type technical solution for replacing synchronous condensers in the power system further includes an analytic hierarchy process (AHP) module, which can be specifically used for:

[0098] The importance of each element in the current processing matrix is ​​compared pairwise from the perspectives of k experts to obtain k judgment matrices; the current processing matrix is ​​the standardized first evaluation matrix or the standardized second evaluation matrix.

[0099] Determine the current judgment matrix from the k judgment matrices;

[0100] For each judgment matrix, calculate the maximum eigenvalue and the corresponding eigenvector, and normalize the eigenvector to obtain k candidate subjective weight vectors;

[0101] The average value of the k candidate subjective weight vectors is calculated to obtain the current subjective weight vector corresponding to the current processing matrix; the current subjective weight vector is either the first subjective weight vector or the second subjective weight vector.

[0102] Optionally, the device for selecting the grid-type technical solution for replacing synchronous condensers in the power system further includes an entropy weight method processing module, which can be used for:

[0103] Each element in the current processing matrix is ​​shifted by a preset step size to obtain the shifted matrix; the current processing matrix is ​​the standardized first evaluation matrix or the standardized second evaluation matrix.

[0104] Based on the translated matrix, the feature weight of each scheme under the current technical and economic indicators is calculated; each scheme is the synchronous condenser or each candidate network structure technical scheme.

[0105] Calculate the information entropy of the current technical and economic indicators based on the weight of the aforementioned features;

[0106] Calculate the information entropy redundancy of the current techno-economic indicators based on the information entropy;

[0107] The current objective weight vector corresponding to the current processing matrix is ​​obtained based on the proportion of the information entropy redundancy of each technical and economic indicator to the total information entropy redundancy of all technical and economic indicators; the current objective weight vector is either the first objective weight vector or the second objective weight vector.

[0108] Optional, the total score calculation module 230 can be used for:

[0109] Multiply the standardized first evaluation matrix by the transpose of the first comprehensive weight vector to obtain the total evaluation score of the camera.

[0110] The standardized second evaluation matrix is ​​multiplied by the transpose of the second comprehensive weight vector, and each element in the multiplication result is used as the total evaluation score of each candidate network structure technical solution.

[0111] Optionally, the substitution degree determination module 240 can be used for:

[0112] Calculate the current ratio of the total evaluation score of the current candidate network structure technical solution to the current total evaluation score of the synchronous condenser;

[0113] The current ratio is used as the degree to which the current candidate mesh configuration technology solution replaces the synchronous condenser.

[0114] Optional, alternative solution determination module 250, specifically can be used for:

[0115] The candidate network structure with the highest total evaluation score and the highest degree of substitution is determined as the target network structure.

[0116] The grid-type technical solution selection device for alternative power system synchronous condensers provided in the embodiments of the present invention can execute the grid-type technical solution selection method for alternative power system synchronous condensers provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0117] Example 3

[0118] Figure 3A schematic diagram of an electronic device 300 that can be used to implement embodiments of the present invention is shown. The electronic device is intended to represent various forms of digital computers or various forms of mobile devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the invention described and / or claimed herein.

[0119] like Figure 3 As shown, the electronic device 300 includes at least one processor 301 and a memory, such as a read-only memory (ROM) 302 or a random access memory (RAM) 303, communicatively connected to the at least one processor 301. The memory stores computer programs executable by the at least one processor. The processor 301 can perform various appropriate actions and processes based on the computer program stored in the ROM 302 or loaded into the RAM 303 from storage unit 308. The RAM 303 can also store various programs and data required for the operation of the electronic device 300. The processor 301, ROM 302, and RAM 303 are interconnected via a bus 304. An input / output (I / O) interface 305 is also connected to the bus 304.

[0120] Multiple components in electronic device 300 are connected to I / O interface 305, including: input unit 306, such as keyboard, mouse, etc.; output unit 307, such as various types of displays, speakers, etc.; storage unit 308, such as disk, optical disk, etc.; and communication unit 309, such as network card, modem, wireless transceiver, etc. Communication unit 309 allows electronic device 300 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0121] Processor 301 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of processor 301 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. Processor 301 performs the various methods and processes described above, such as the method for selecting grid-type technology solutions to replace synchronous condensers in power systems.

[0122] In some embodiments, the method for selecting a grid-based alternative to a synchronous condenser can be implemented as a computer program tangibly contained in a computer-readable storage medium, such as storage unit 308. In some embodiments, part or all of the computer program can be loaded and / or installed on electronic device 300 via ROM 302 and / or communication unit 309. When the computer program is loaded into RAM 303 and executed by processor 301, one or more steps of the method for selecting a grid-based alternative to a synchronous condenser described above can be performed. Alternatively, in other embodiments, processor 301 can be configured to perform the method for selecting a grid-based alternative to a synchronous condenser by any other suitable means (e.g., by means of firmware).

[0123] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SoCs), payload-programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0124] Computer programs used to implement the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when executed by the processor, the computer programs cause the functions / operations specified in the flowcharts and / or block diagrams to be performed. The computer programs may be executed entirely on a machine, partially on a machine, or as a standalone software package, partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0125] In the context of this invention, a computer-readable storage medium can be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, apparatus, or device. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination thereof. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof.

[0126] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0127] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or middleware components (e.g., application servers), or frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include local area networks (LANs), wide area networks (WANs), blockchain networks, and the Internet.

[0128] A computing system can include clients and servers. Clients and servers are generally located far apart and typically interact through a communication network. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or cloud host, which is a hosting product within the cloud computing service system to address the shortcomings of traditional physical hosts and VPS services, such as high management difficulty and weak business scalability.

[0129] It should be understood that the various forms of processes shown above can be used, with steps reordered, added, or deleted. For example, the steps described in this invention can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this invention can be achieved, and this is not limited herein.

[0130] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.

Claims

1. A method for selecting a grid-type technical solution to replace synchronous condensers in power systems, characterized in that, include: Based on specified technical and economic indicators, a first evaluation matrix is ​​established for the synchronous condenser, and a second evaluation matrix is ​​established for each candidate network configuration technical solution. The first evaluation matrix and the second evaluation matrix are analyzed using a preset analysis method to determine a comprehensive weight vector for the specified technical and economic indicators; the preset analysis method includes the analytic hierarchy process and the entropy weight method. The total evaluation score is calculated for the camera adjustment device and each candidate network structure technical solution based on the comprehensive weight vector. The degree of substitution for the synchronous condenser is determined for each candidate mesh-type technical solution based on the total evaluation score. The target meshing technology solution that can replace the camera converter is determined based on the total evaluation score and the degree of substitution.

2. The method according to claim 1, characterized in that, The specified technical and economic indicators include at least one of the following: short-circuit current gain, transient overvoltage suppression rate, reactive power dynamic support, continuous reactive power regulation capability, broadband oscillation suppression capability, and total life cycle cost.

3. The method according to claim 1, characterized in that, The first evaluation matrix and the second evaluation matrix are analyzed using a preset analysis method to determine a comprehensive weight vector for the specified technical and economic indicators, including: The first evaluation matrix and the second evaluation matrix are subjected to homogenization and standardization processes to obtain a standardized first evaluation matrix and a standardized second evaluation matrix. The first subjective weight vector is obtained by processing the standardized first evaluation matrix using the analytic hierarchy process described above. The standardized first evaluation matrix is ​​processed using the entropy weight method to obtain the first objective weight vector; The first subjective weight vector and the first objective weight vector are fused according to the specified coefficients to obtain the first comprehensive weight vector corresponding to the first evaluation matrix. The standardized second evaluation matrix is ​​processed using the analytic hierarchy process to obtain the second subjective weight vector; The standardized second evaluation matrix is ​​processed using the entropy weight method to obtain the second objective weight vector; The second subjective weight vector and the second objective weight vector are fused according to the specified coefficients to obtain the second comprehensive weight vector corresponding to the second evaluation matrix.

4. The method according to claim 3, characterized in that, The first evaluation matrix and the second evaluation matrix are subjected to homogenization and standardization processes to obtain a standardized first evaluation matrix and a standardized second evaluation matrix, including: All index values ​​in the first evaluation matrix and the second evaluation matrix are converted into extremely large indexes to obtain the homogeneous first evaluation matrix and the homogeneous second evaluation matrix. Based on the homogenized second evaluation matrix, determine the maximum and minimum values ​​of each technical and economic indicator in each candidate network structure technical solution; Based on the maximum and minimum values, each element in the first and second oriented evaluation matrices is subjected to range transformation to obtain the first and second oriented evaluation matrices.

5. The method according to claim 3, characterized in that, The processing flow of the analytic hierarchy process is as follows: The importance of each element in the current processing matrix is ​​compared pairwise from the perspectives of k experts to obtain k judgment matrices; the current processing matrix is ​​the standardized first evaluation matrix or the standardized second evaluation matrix. Determine the current judgment matrix from the k judgment matrices; For each judgment matrix, calculate the maximum eigenvalue and the corresponding eigenvector, and normalize the eigenvector to obtain k candidate subjective weight vectors; The average value of the k candidate subjective weight vectors is calculated to obtain the current subjective weight vector corresponding to the current processing matrix; the current subjective weight vector is either the first subjective weight vector or the second subjective weight vector.

6. The method according to claim 3, characterized in that, The processing flow of the entropy weight method is as follows: Each element in the current processing matrix is ​​shifted by a preset step size to obtain the shifted matrix; the current processing matrix is ​​the standardized first evaluation matrix or the standardized second evaluation matrix. Based on the translated matrix, the feature weight of each scheme under the current technical and economic indicators is calculated; each scheme is the synchronous condenser or each candidate network structure technical scheme. Calculate the information entropy of the current technical and economic indicators based on the weight of the aforementioned features; Calculate the information entropy redundancy of the current techno-economic indicators based on the information entropy; The current objective weight vector corresponding to the current processing matrix is ​​obtained based on the proportion of the information entropy redundancy of each technical and economic indicator to the total information entropy redundancy of all technical and economic indicators; the current objective weight vector is either the first objective weight vector or the second objective weight vector.

7. The method according to claim 3, characterized in that, The total evaluation score is calculated for the camera shifter and each candidate network configuration scheme based on the comprehensive weight vector, including: Multiply the standardized first evaluation matrix by the transpose of the first comprehensive weight vector to obtain the total evaluation score of the camera. The standardized second evaluation matrix is ​​multiplied by the transpose of the second comprehensive weight vector, and each element in the multiplication result is used as the total evaluation score of each candidate network structure technical solution.

8. The method according to claim 1, characterized in that, Based on the total evaluation score, the degree of substitution for the synchronous condenser is determined for each candidate mesh configuration, including: Calculate the current ratio of the total evaluation score of the current candidate network structure technical solution to the current total evaluation score of the synchronous condenser; The current ratio is used as the degree to which the current candidate mesh configuration technology solution replaces the synchronous condenser.

9. The method according to claim 1, characterized in that, Based on the total evaluation score and the degree of substitution, a target meshing technology solution that can replace the camera converter is determined, including: The candidate network structure with the highest total evaluation score and the highest degree of substitution is determined as the target network structure.

10. A grid-type technical solution selection device for replacing synchronous condensers in power systems, characterized in that, include: The evaluation matrix establishment module is used to establish a first evaluation matrix for the synchronous condenser based on specified technical and economic indicators, and to establish a second evaluation matrix for each candidate network structure technical solution. The comprehensive weight vector determination module is used to analyze the first evaluation matrix and the second evaluation matrix respectively using a preset analysis method to determine the comprehensive weight vector for the specified technical and economic indicators; the preset analysis method includes the analytic hierarchy process and the entropy weight method. The total evaluation score calculation module is used to calculate the total evaluation score for the camera adjuster and each candidate network structure technical solution based on the comprehensive weight vector. The substitution degree determination module is used to determine the substitution degree of each candidate mesh-type technical solution for the synchronous condenser based on the total evaluation score; The alternative solution determination module is used to determine the target meshing technology solution that can replace the camera converter based on the total evaluation score and the degree of substitution.

11. An electronic device, characterized in that, The electronic device includes: At least one processor; and A memory communicatively connected to the at least one processor; wherein, The memory stores a computer program that can be executed by the at least one processor, the computer program being executed by the at least one processor to enable the at least one processor to perform a method for selecting a grid-type technical solution for an alternative power system synchronous condenser, as described in any one of claims 1-9.

12. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions that, when executed by a processor, implement the method for selecting a grid-type technical solution for an alternative to a synchronous condenser in a power system, as described in any one of claims 1-9.

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