A method and device for evaluating power grid resilience, electronic equipment, and storage medium

Abstract

The present application discloses a method and device for evaluating the resilience of a power grid, an electronic device, and a storage medium. The method comprises: calculating the subjective weight of each indicator item based on a priority diagram method, and calculating the objective weight of each indicator item based on the numerical value of each power grid to be evaluated on the indicator item; calculating the comprehensive weight of each indicator item based on the objective weight and subjective weight of each indicator item; multiplying each numerical value on each indicator item by the comprehensive weight of the corresponding indicator item to obtain a weighted value on the indicator item; calculating the resilience index of each power grid to be evaluated based on the distance between the indicator matrix of each power grid to be evaluated and a positive ideal matrix; the positive ideal matrix includes the maximum value of the weighted values ​​on each indicator item; the indicator matrix of the power grid to be evaluated includes its weighted values ​​on each indicator item; the smaller the distance between the power grid to be evaluated and the positive ideal matrix, the greater its resilience index; and sorting each power grid to be evaluated in descending order of the resilience index.

Description

Technical Field

[0001] The present application relates to the technical field of power grid assessment, and in particular to a power grid resilience assessment method and device, electronic equipment, and storage medium. Background Art

[0002] As the main network for power transmission, it is of great significance to study the resilience assessment of the main grid to extreme natural disasters, which can enhance the resilience of the grid and reduce the losses of the grid when facing extreme natural disasters.

[0003] At present, the research on the resilience assessment of power grid mainly focuses on the resilience assessment of distribution network, and there is less research on the resilience assessment of main grid. The existing evaluation methods for the relevant performance of power grid mainly use the hierarchical analysis method for evaluation, or use the entropy weight method to weight the indicators for evaluation.

[0004] However, the analytic hierarchy process is quite subjective, so the evaluation results obtained are also quite subjective. The entropy weight method cannot consider the dynamic relationship between the related indicators. Therefore, the existing methods cannot accurately evaluate the resilience of the power grid. Summary of the invention

[0005] Based on the above-mentioned deficiencies of the prior art, the present application provides a method and device for evaluating power grid resilience, an electronic device, and a storage medium to solve the problem that the prior art is not accurate enough in evaluating power grid resilience.

[0006] In order to achieve the above objectives, this application provides the following technical solutions:

[0007] The first aspect of the present application provides a method for evaluating power grid resilience, comprising:

[0008] Obtaining the values ​​of each power grid to be evaluated on multiple target indicator items;

[0009] Based on the obtained values ​​of each of the target indicator items, the information coefficient corresponding to each of the target indicator items is calculated respectively; wherein the information coefficient corresponding to the target indicator item is used to characterize the size of the information amount reflected by the target indicator item alone;

[0010] Respectively calculating the ratio of the information coefficient corresponding to each target indicator item to the sum of the information coefficients corresponding to all the target indicator items, to obtain the objective weight corresponding to each target indicator item;

[0011] Based on the objective weight and the corresponding subjective weight corresponding to each of the target indicator items, the comprehensive weight corresponding to each of the target indicator items is calculated; wherein the subjective weight corresponding to each of the target indicator items is calculated in advance for each of the target indicator items based on the priority diagram method;

[0012] For each of the target indicator items, multiply each numerical value on the target indicator item by the comprehensive weight corresponding to the target indicator item to obtain each weighted value on the target indicator item;

[0013] The resilience index of each power grid to be evaluated is calculated based on the distance between the index matrix of each power grid to be evaluated and the positive ideal matrix; wherein the positive ideal matrix includes the maximum value of each weighted value on each target index item; an index matrix of the power grid to be evaluated includes each weighted value of the power grid to be evaluated on each target index item; the smaller the distance between the index matrix of the power grid to be evaluated and the positive ideal matrix, the greater the resilience index of the power grid to be evaluated;

[0014] The power grids to be evaluated are sorted according to the order of the resilience index from large to small.

[0015] Optionally, in the above-mentioned power grid resilience assessment method, the target index items include pre-disaster prevention stage index items, disaster development stage index items, post-disaster recovery stage index items, power generation side index items and transmission side index items; wherein the pre-disaster prevention stage index items at least include emergency resource regulation capability indicators, important load distribution uniformity, crisis warning capability indicators, new energy prediction accuracy, and regional backup power supply coverage rate; the disaster development stage index items at least include traditional thermal power unit loss power, new energy unit loss power, key bus load loss, total load loss, and power outage loss; the post-disaster recovery stage index items at least include traditional unit recovery efficiency, new energy unit recovery efficiency, key load recovery efficiency, and total load recovery efficiency; the power generation side index items at least include substation full shutdown verification pass rate, traditional unit shutdown rate, and new energy unit shutdown rate; the transmission side index items at least include transmission line strength, key bus load loss rate, and total load loss rate.

[0016] Optionally, in the above-mentioned power grid resilience assessment method, before calculating the comprehensive weight corresponding to each target indicator item based on the objective weight and the corresponding subjective weight corresponding to each target indicator item, the method further includes:

[0017] Obtaining a relative importance score between each two of the target indicator items; wherein the relative importance score is determined and input by a user;

[0018] For each target indicator item, calculate the sum of the relative importance scores between the target indicator item and each of the other target indicator items to obtain a total score of the target indicator item;

[0019] The total score of each target indicator item is divided by the sum of the total scores of all the target indicator items to obtain the subjective weight corresponding to each target indicator item.

[0020] Optionally, in the above-mentioned power grid resilience assessment method, after obtaining the values ​​of each power grid to be assessed on multiple target indicator items, the method further includes:

[0021] The values ​​of each of the target index items belonging to the negative index items are made positive.

[0022] Optionally, in the above-mentioned power grid resilience assessment method, the information coefficient corresponding to each target indicator item is calculated based on the acquired values ​​of each target indicator item, including:

[0023] Calculate the standard deviation of the values ​​of each target indicator item based on the obtained values ​​of each target indicator item;

[0024] Based on the obtained values ​​of each of the target indicator items, calculating the correlation coefficient between every two of the target indicator items;

[0025] For each of the target indicator items, respectively subtract the correlation coefficient between the target indicator item and each of the other target indicator items from 1, and sum the obtained differences to obtain the indicator conflict coefficient of the target indicator item;

[0026] The product of the standard deviation of the value on each of the target indicator items and the indicator conflict coefficient of the target indicator item is calculated respectively to obtain the information coefficient corresponding to each of the target indicator items.

[0027] Optionally, in the above-mentioned power grid resilience assessment method, the calculating of the resilience index of each power grid to be assessed based on the distance between the index matrix of each power grid to be assessed and the positive ideal matrix includes:

[0028] Based on the weighted values ​​of each of the target indicator items, the positive ideal matrix and the negative ideal matrix are determined; wherein the negative ideal matrix includes the minimum value of the weighted values ​​of each of the target indicator items;

[0029] Respectively calculating the distance between the indicator matrix of each of the power grids to be evaluated and the positive ideal matrix, and the distance between the indicator matrix of each of the power grids to be evaluated and the negative ideal matrix;

[0030] For each of the power grids to be evaluated, the distance between the indicator matrix of the power grid to be evaluated and the negative ideal matrix is ​​divided by the total distance to obtain the resilience index of the power grid to be evaluated; wherein the total distance is the sum of the distance between the indicator matrix of the power grid to be evaluated and the positive ideal matrix plus the distance between the indicator matrix of the power grid to be evaluated and the negative ideal matrix.

[0031] A second aspect of the present application provides a power grid resilience assessment device, comprising:

[0032] A first acquisition unit is used to acquire the values ​​of each power grid to be evaluated on multiple target indicator items;

[0033] An information coefficient calculation unit, used to calculate the information coefficient corresponding to each of the target indicator items based on the obtained values ​​of each of the target indicator items; wherein the information coefficient corresponding to the target indicator item is used to characterize the size of the information amount reflected by the target indicator item alone;

[0034] An objective weight calculation unit, used to calculate the ratio of the information coefficient corresponding to each target indicator item to the sum of the information coefficients corresponding to all the target indicator items, to obtain the objective weight corresponding to each target indicator item;

[0035] A comprehensive weight calculation unit, used to calculate the comprehensive weight corresponding to each of the target indicator items based on the objective weight and the corresponding subjective weight corresponding to each of the target indicator items; wherein the subjective weight corresponding to each of the target indicator items is calculated in advance for each of the target indicator items based on the priority diagram method;

[0036] A weighting unit, for each of the target indicator items, multiplying each numerical value on the target indicator item by the comprehensive weight corresponding to the target indicator item to obtain each weighted value on the target indicator item;

[0037] A resilience assessment unit, configured to calculate the resilience index of each power grid to be assessed based on the distance between the index matrix of each power grid to be assessed and the positive ideal matrix; wherein the positive ideal matrix includes the maximum value of each weighted value on each target index item; an index matrix of the power grid to be assessed includes each weighted value of the power grid to be assessed on each target index item; the smaller the distance between the index matrix of the power grid to be assessed and the positive ideal matrix, the greater the resilience index of the power grid to be assessed;

[0038] The sorting unit is used to sort the power grids to be evaluated in descending order of the resilience index.

[0039] Optionally, in the above-mentioned power grid resilience assessment device, the target index items include pre-disaster prevention stage index items, disaster development stage index items, post-disaster recovery stage index items, power generation side index items and transmission side index items; wherein the pre-disaster prevention stage index items at least include emergency resource regulation capability indicators, important load distribution uniformity, crisis warning capability indicators, new energy prediction accuracy, and regional backup power supply coverage rate; the disaster development stage index items at least include traditional thermal power unit loss power, new energy unit loss power, key bus load loss, total load loss, and power outage loss; the post-disaster recovery stage index items at least include traditional unit recovery efficiency, new energy unit recovery efficiency, key load recovery efficiency, and total load recovery efficiency; the power generation side index items at least include substation full shutdown verification pass rate, traditional unit shutdown rate, and new energy unit shutdown rate; the transmission side index items at least include transmission line strength, key bus load loss rate, and total load loss rate.

[0040] Optionally, in the above-mentioned power grid resilience assessment device, it also includes:

[0041] A second acquisition unit is used to acquire a relative importance score between each two target indicator items; wherein the relative importance score is determined and input by a user;

[0042] A total score calculation unit, used for calculating, for each of the target indicator items, the sum of the relative importance scores between the target indicator item and each of the other target indicator items to obtain a total score of the target indicator item;

[0043] The subjective weight calculation unit is used to divide the total score of each target indicator item by the sum of the total scores of all the target indicator items to obtain the subjective weight corresponding to each target indicator item.

[0044] Optionally, in the above-mentioned power grid resilience assessment device, it also includes:

[0045] The positive conversion unit is used to convert the values ​​of each target indicator item belonging to the negative indicator item into positive values.

[0046] Optionally, in the above-mentioned power grid resilience assessment device, the information coefficient calculation unit includes:

[0047] A standard deviation calculation unit, used to calculate the standard deviation of the value on each of the target indicator items based on the acquired value on each of the target indicator items;

[0048] A correlation coefficient calculation unit, used to calculate the correlation coefficient between every two target indicator items based on the acquired values ​​of each target indicator item;

[0049] An indicator conflict coefficient calculation unit is used to, for each of the target indicator items, respectively subtract the correlation coefficient between the target indicator item and each of the other target indicator items from 1, and sum the obtained differences to obtain the indicator conflict coefficient of the target indicator item;

[0050] The information coefficient calculation subunit is used to calculate the product of the standard deviation of the numerical value on each of the target indicator items and the indicator conflict coefficient of the target indicator item, so as to obtain the information coefficient corresponding to each of the target indicator items.

[0051] Optionally, in the above-mentioned power grid resilience assessment device, the resilience assessment unit includes:

[0052] A matrix determination unit, configured to determine the positive ideal matrix and the negative ideal matrix based on the weighted values ​​of the target index items; wherein the negative ideal matrix includes the minimum value of the weighted values ​​of the target index items;

[0053] A distance calculation unit, used for respectively calculating the distance between the indicator matrix of each of the power grids to be evaluated and the positive ideal matrix, and the distance between the indicator matrix of each of the power grids to be evaluated and the negative ideal matrix;

[0054] The relative proximity calculation unit is used to divide the distance between the indicator matrix of the power grid to be evaluated and the negative ideal matrix by the total distance for each power grid to be evaluated, so as to obtain the resilience index of the power grid to be evaluated; wherein the total distance is the sum of the distance between the indicator matrix of the power grid to be evaluated and the positive ideal matrix plus the distance between the indicator matrix of the power grid to be evaluated and the negative ideal matrix.

[0055] A third aspect of the present application provides an electronic device, including:

[0056] Memory and processor;

[0057] Wherein, the memory is used to store programs;

[0058] The processor is used to execute the program, and when the program is executed, it is specifically used to implement the power grid resilience assessment method as described in any one of the above.

[0059] A fourth aspect of the present application provides a computer storage medium for storing a computer program, wherein when the computer program is executed, it is used to implement a power grid resilience assessment method as described in any one of the above.

[0060] The present application provides a method for evaluating the resilience of a power grid, obtaining the numerical values ​​of each power grid to be evaluated on multiple target index items, and then calculating the information coefficient corresponding to each target index item based on the numerical values ​​obtained on each target index item. Among them, the information coefficient corresponding to the target index item is used to characterize the size of the information amount reflected by the target index item alone, so the ratio of the information coefficient corresponding to each target index item to the sum of the information coefficients corresponding to all target index items is calculated to obtain the objective weight corresponding to each target index item. Based on the objective weight corresponding to each target index item and the corresponding subjective weight, the comprehensive weight corresponding to each target index item is calculated. Among them, the subjective weight corresponding to each target index item is calculated in advance based on the priority diagram method for each target index item, so as to realize the integration of subjective weight and objective weight, fully consider the subjective influence and objective influence, and effectively ensure the accuracy of the result. Then, for each target index item, each numerical value on the target index item is multiplied by the comprehensive weight corresponding to the target index item to obtain each weighted value on the target index item, and the resilience index of each power grid to be evaluated is calculated based on the distance between the indicator matrix of each power grid to be evaluated and the positive ideal matrix. Among them, the positive ideal matrix includes the maximum value of each weighted value on each target indicator item. The indicator matrix of a power grid to be evaluated includes the weighted values ​​of each target indicator item of the power grid to be evaluated. Therefore, the smaller the distance between the indicator matrix of the power grid to be evaluated and the positive ideal matrix, the closer it is to the optimal situation. Therefore, the greater the resilience index of the power grid to be evaluated, so that the accurate evaluation of the sample to be evaluated can be achieved through the distance from the ideal solution. Finally, the power grids to be evaluated are sorted in descending order of resilience index. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0062] Figure 1 A flowchart of a power grid resilience assessment method provided in an embodiment of the present application;

[0063] Figure 2 A schematic diagram of a power grid resilience assessment index system provided in an embodiment of the present application;

[0064] Figure 3 A flowchart of a method for calculating a subjective weight corresponding to a target indicator item provided in an embodiment of the present application;

[0065] Figure 4A flowchart of a method for calculating the information coefficient corresponding to each target indicator item provided in an embodiment of the present application;

[0066] Figure 5 A flowchart of a method for calculating a resilience index of each power grid to be evaluated provided in an embodiment of the present application;

[0067] Figure 6 A schematic diagram of the structure of a power grid resilience assessment device provided in an embodiment of the present application;

[0068] Figure 7 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0069] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0070] In this application, relational terms such as first and second, etc. are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "comprise", "include" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the statement "comprises a ..." does not exclude the presence of other identical elements in the process, method, article or device including the element.

[0071] This application provides a method for evaluating the resilience of a power grid. Figure 1 As shown, including:

[0072] S101. Obtaining values ​​of each power grid to be evaluated on multiple target indicator items.

[0073] The target indicator item refers to the specified indicator used to evaluate the resilience of the power grid.

[0074] Optionally, a grid resilience assessment index system in the context of energy transformation can be pre-constructed, and then all or part of the assessment index items under the assessment index system can be used as target index items.

[0075] Optionally, the power grid resilience assessment index system constructed in the embodiment of the present application is as follows: Figure 2 As shown, all evaluation index items are taken as target index items. Therefore, in an embodiment of the present application, the target index items include pre-disaster prevention stage index items, disaster development stage index items, and post-disaster recovery stage index items divided according to the time dimension, as well as power generation side index items and transmission side index items divided according to the spatial dimension.

[0076] See Figure 2 As shown, the indicators in the pre-disaster prevention stage include at least emergency resource regulation capability indicators, important load distribution uniformity, crisis warning capability indicators, new energy prediction accuracy, and regional backup power supply coverage rate.

[0077] The indicators in the disaster development stage include at least the power loss of traditional thermal power units, the power loss of new energy units, the loss of key bus load, the total load loss, and the power outage loss.

[0078] The indicators in the post-disaster recovery stage include at least the recovery efficiency of traditional units, the recovery efficiency of new energy units, the recovery efficiency of key loads, and the recovery efficiency of total loads.

[0079] The indicators on the power generation side include at least the substation full shutdown inspection pass rate, the traditional unit outage rate and the new energy unit outage rate.

[0080] The transmission side indicators include at least the transmission line strength, key bus load loss rate, and total load loss rate.

[0081] It should be noted that the subjective weight and objective weight of the target indicator item can be calculated after the target indicator item is determined. The objective weight needs to be based on the value of the power grid to be evaluated on each target indicator item, so each time the power grid to be evaluated is evaluated, steps S101 to S103 need to be executed to calculate the objective weight corresponding to the target indicator item.

[0082] Since the subjective weight is mainly determined by the relative importance between the target index items, the value of the target index item of the power grid to be evaluated is not needed, that is, the subjective weight is not related to the power grid to be evaluated, but is related to the selected target index item. Therefore, if the target index item currently selected is the same as that selected when evaluating other power grids previously, the subjective weight corresponding to each target index item previously calculated can be directly obtained. If other power grids have not been evaluated before, or the selected target index items are different, it is necessary to calculate the subjective weights corresponding to each current target index item before executing step S103.

[0083] Alternatively, if Figure 3 As shown, a method for calculating the subjective weight corresponding to the target indicator item includes:

[0084] S301. Obtain the relative importance score between every two target indicator items.

[0085] The relative importance score is determined and input by the user.

[0086] Specifically, a chessboard diagram can be drawn using the target indicator items, and each target indicator item is written into the first column and the first row of the chessboard diagram, and the chessboard diagram is displayed on the user interface for scoring by the user. Specifically, the user fills in the relative importance score of each two target indicator items at the intersection of each two target indicator items in the first column and the first row. Optionally, for two target indicator items, if the target indicator item in the first column is more important than the target indicator item in the first row, the relative importance score is the first score, such as 1 point; if the target indicator item in the first column is equally important as the target indicator item in the first row, or the two target indicator items are the same target indicator item, the relative importance score is the second score, such as 0.5 points; if the target indicator item in the first column is less important than the target indicator item in the first row, the relative importance score is the third score, such as 0 points.

[0087] S302: For each target indicator item, calculate the sum of the relative importance scores between the target indicator item and other target indicator items to obtain a total score of the target indicator item.

[0088] Optionally, for each target indicator item in the first column of the chessboard diagram, the sum of all importance scores of the row where the target indicator item is located may be calculated, that is, the total score of the target indicator item may be deliberately obtained.

[0089] S303 . Divide the total score of each target indicator item by the sum of the total scores of all target indicator items to obtain a subjective weight corresponding to each target indicator item.

[0090] The total score of the target indicator item is the absolute subjective weight of the target indicator item. In the embodiment of the present application, a relative value is used as the subjective weight corresponding to the target indicator item. Therefore, it is necessary to divide the total score of each target indicator item by the sum of the total scores of all target indicator items to obtain the subjective weight corresponding to each target indicator item.

[0091] Considering that each target indicator may have both positive and negative indicator items, it is necessary to unify the target indicator items. Therefore, optionally, in another embodiment of the present application, after executing step S101, the following may be further performed:

[0092] Make the values ​​of each target indicator item belonging to the negative indicator item positive.

[0093] Among them, negative indicators refer to indicators whose smaller values ​​indicate better resilience of the power grid, such as power loss of traditional thermal power units, power loss of new energy units, loss of key bus loads, total load loss, power outage losses, etc. By making the values ​​of each target indicator item of the negative indicator item positive, so that the values ​​of all target indicator items are positive, the larger the resilience indicator is, the better the resilience of the power grid is. Of course, the positive indicator item can also be made negative, but in this case, the larger the resilience indicator is, the worse the resilience of the power grid is.

[0094] Specifically, in the embodiment of the present application, the method of converting the values ​​on each target indicator item belonging to the negative indicator item to positive values ​​may be to determine the maximum value of the value on each target indicator item belonging to the negative indicator item, and then subtract each value on the target indicator item from the maximum value, which may be specifically expressed as:

[0095] x i ' j =x jmax -x ij

[0096] Where, i = 1, 2, 3, ..., m; j = 1, 2, 3, ..., n. jmax is the maximum value of the jth target indicator; x ij It represents the value of the jth target indicator item of the i-th power grid to be evaluated.

[0097] S102: Based on the obtained values ​​of each target indicator item, calculate the information coefficient corresponding to each target indicator item.

[0098] Among them, the information coefficient corresponding to the target indicator item is used to characterize the amount of information reflected by the target indicator item alone.

[0099] It should be noted that the more a target indicator item can reflect the information of the power grid to be evaluated, the more conducive it is to the evaluation of the power grid to be evaluated. Therefore, the higher its objective importance is, that is, the higher the corresponding objective weight should be. However, although a target indicator item can reflect more information of the power grid to be evaluated, if the information it can reflect can also be reflected by other target indicator items, its importance will obviously be reduced accordingly, that is, the corresponding objective weight will be reduced accordingly. Therefore, in an embodiment of the present application, the information coefficient used to characterize the amount of information reflected separately on the target indicator item is calculated, and the objective weight corresponding to the target indicator item is further calculated.

[0100] like Figure 4 As shown, a specific implementation of step S102 includes the following steps:

[0101] S401. Calculate the standard deviation of the value of each target indicator item based on the obtained value of each target indicator item.

[0102] Since a larger standard deviation indicates a larger difference in the values ​​of the indicator, more information can be reflected, and the evaluation strength of the target indicator item itself is stronger, in the embodiment of the present application, the standard deviation of the values ​​of each target indicator item is calculated separately to determine the objective weight corresponding to the target indicator item.

[0103] Specifically, for each target indicator item, the standard deviation of the value of each target indicator item is calculated using the value of each target indicator item.

[0104] S402: Calculate the correlation coefficient between every two target indicator items based on the obtained values ​​of each target indicator item.

[0105] In the embodiment of the present application, the indicator conflict coefficient is used to reflect the conflict between a target indicator item and other target indicators, that is, the degree of repetition of information reflected by the content reflected and other target indicator items, so as to reflect the amount of information reflected individually, and then the objective weight can be calculated.

[0106] The correlation coefficient represents the correlation between indicators. The stronger the correlation between a target indicator item and other target indicator items, the less conflict the indicator has with other indicators. The more the same information is reflected, the more repetitive the evaluation content can be. Therefore, in the embodiment of the present application, the indicator conflict coefficient is calculated by the correlation coefficient.

[0107] S403 . For each target indicator item, subtract the correlation coefficient between the target indicator item and each other target indicator item from 1, and sum the obtained differences to obtain the indicator conflict coefficient of the target indicator item.

[0108] Since the smaller the correlation coefficient between two target indicators, the greater the weight to be assigned, the correlation coefficient needs to be positively converted so that the larger the value, the greater the weight, in order to calculate the objective weight corresponding to the target indicator. Therefore, for each target indicator, it is necessary to subtract the correlation coefficient between the target indicator and each other target indicator from 1 to obtain multiple differences, and then sum up the obtained differences to obtain the indicator conflict coefficient of the target indicator, which can be specifically expressed as:

[0109]

[0110] Among them, R j represents the index conflict coefficient of target index item j, j = 1, 2, ..., n; r ijRepresents the correlation coefficient between target indicator item i and target indicator item j.

[0111] S404: Calculate the product of the standard deviation of the value on each target indicator item and the indicator conflict coefficient of the target indicator item respectively to obtain the information coefficient corresponding to each target indicator item.

[0112] S103, respectively calculating the ratio of the information coefficient corresponding to each target indicator item to the sum of the information coefficients corresponding to all target indicator items, and obtaining the objective weight corresponding to each target indicator item.

[0113] S104: Based on the objective weight and the corresponding subjective weight corresponding to each target indicator item, a comprehensive weight corresponding to each target indicator item is calculated.

[0114] The subjective weight corresponding to each of the target indicator items is calculated in advance based on the priority diagram method for each of the target indicator items.

[0115] Optionally, the square root of the product of the objective weight and the corresponding subjective weight corresponding to each target indicator item can be calculated to obtain the absolute weight corresponding to the target indicator item. In the embodiment of the present application, the relative weight is used as the comprehensive weight, so the relative weight corresponding to each target indicator item is divided by the sum of the relative weights corresponding to all target indicator items to obtain the comprehensive weight corresponding to each target indicator item, which can be specifically expressed as:

[0116]

[0117] Among them, α j Indicates the subjective weight corresponding to the target indicator item; β j Indicates the objective weight corresponding to the target indicator item.

[0118] S105 . For each target indicator item, multiply each numerical value on the target indicator item by the comprehensive weight corresponding to the target indicator item to obtain each weighted value on the target indicator item.

[0119] S106. Calculate the resilience index of each power grid to be evaluated based on the distance between the index matrix of each power grid to be evaluated and the positive ideal matrix.

[0120] Among them, the positive ideal matrix includes the maximum value of each weighted value on each target index item, and the index matrix of a power grid to be evaluated includes each weighted value of the power grid to be evaluated on each of the target index items. Since the positive ideal matrix is ​​the weighted value of the power grid on each target index item under the best condition, the smaller the distance between the index matrix of the power grid to be evaluated and the positive ideal matrix, the closer it is to the ideal condition, and therefore the greater the resilience index of the power grid to be evaluated.

[0121] Optionally, the distance between the index matrix of each power grid to be evaluated and the positive ideal matrix can be directly used as the resilience index of each power grid to be evaluated. Of course, other methods can also be used to calculate the resilience index of the power grid to be evaluated.

[0122] Optionally, in another embodiment of the present application, a specific implementation of step S106 is as follows: Figure 5 As shown, the following steps are included:

[0123] S501. Determine a positive ideal matrix and a negative ideal matrix based on weighted values ​​of various target index items.

[0124] The negative ideal matrix includes the minimum value of the weighted values ​​on each target index item, that is, the negative ideal matrix is ​​the weighted value of the power grid on each target index item under the worst case.

[0125] Specifically, the maximum value and the minimum value of each target indicator item are selected from all weighted values ​​of each target indicator item to form a positive ideal matrix and a negative ideal matrix respectively.

[0126] For example, the positive ideal matrix is:

[0127]

[0128] The negative ideal matrix is:

[0129]

[0130] Among them, z ij represents the weighted value of the i-th power grid to be evaluated on the target indicator item j, so It represents the maximum value of the weighted value on the target indicator j. It represents the minimum value among the weighted values ​​on the target indicator j.

[0131] S502 : Calculate the distance between the indicator matrix of each power grid to be evaluated and the positive ideal matrix, and the distance between the indicator matrix of each power grid to be evaluated and the negative ideal matrix.

[0132] Specifically, for each power grid to be evaluated, the square of the difference between the weighted values ​​of the index matrix of the power grid to be evaluated and the positive ideal matrix belonging to the same target index item is calculated, and all squares are summed and then squared to obtain the distance between the index matrix of the power grid to be evaluated and the positive ideal matrix.

[0133] Specifically, the distance between the index matrix of the power grid to be evaluated and the positive ideal matrix can be expressed as:

[0134]

[0135] Similarly, the distance between the index matrix of the power grid to be evaluated and the negative ideal matrix can be expressed as:

[0136]

[0137] S503 . For each power grid to be evaluated, divide the distance between the index matrix of the power grid to be evaluated and the negative ideal matrix by the total distance to obtain a resilience index of the power grid to be evaluated.

[0138] The total distance is the sum of the distance between the indicator matrix of the power grid to be evaluated and the positive ideal matrix plus the distance between the indicator matrix of the power grid to be evaluated and the negative ideal matrix.

[0139] It should be noted that in the embodiment of the present application, the relative closeness between the power grid to be evaluated and the positive ideal matrix and the negative ideal matrix is ​​used as the resilience index of the power grid to be evaluated. Therefore, the resilience index of the power grid to be evaluated can be specifically expressed as:

[0140]

[0141] It can be seen from the above formula that the greater the relative closeness, the closer the relative distance between the power grid to be evaluated and the positive ideal matrix is, and the better the resilience of the power grid to be evaluated is.

[0142] S107. Sort the power grids to be evaluated in descending order of resilience index.

[0143] The embodiment of the present application provides a method for evaluating the resilience of a power grid, obtaining the numerical values ​​of each power grid to be evaluated on multiple target index items, and then calculating the information coefficient corresponding to each target index item based on the numerical values ​​obtained on each target index item. Among them, the information coefficient corresponding to the target index item is used to characterize the size of the information amount reflected by the target index item alone, so the ratio of the information coefficient corresponding to each target index item to the sum of the information coefficients corresponding to all target index items is calculated to obtain the objective weight corresponding to each target index item. Based on the objective weight corresponding to each target index item and the corresponding subjective weight, the comprehensive weight corresponding to each target index item is calculated. Among them, the subjective weight corresponding to each target index item is calculated in advance based on the priority diagram method for each target index item, so as to realize the integration of subjective weight and objective weight, fully consider the subjective influence and objective influence, and effectively ensure the accuracy of the result. Then, for each target index item, each numerical value on the target index item is multiplied by the comprehensive weight corresponding to the target index item to obtain each weighted value on the target index item, and the resilience index of each power grid to be evaluated is calculated based on the distance between the indicator matrix of each power grid to be evaluated and the positive ideal matrix. Among them, the positive ideal matrix includes the maximum value of each weighted value on each target indicator item. The indicator matrix of a power grid to be evaluated includes the weighted values ​​of each target indicator item of the power grid to be evaluated. Therefore, the smaller the distance between the indicator matrix of the power grid to be evaluated and the positive ideal matrix, the closer it is to the optimal situation. Therefore, the greater the resilience index of the power grid to be evaluated, so that the accurate evaluation of the sample to be evaluated can be achieved through the distance from the ideal solution. Finally, the power grids to be evaluated are sorted in descending order of resilience index.

[0144] Another embodiment of the present application provides a power grid resilience assessment device, such as Figure 6 As shown, including:

[0145] The first acquisition unit 601 is used to acquire the values ​​of each power grid to be evaluated on multiple target indicator items.

[0146] The information coefficient calculation unit 602 is used to calculate the information coefficient corresponding to each target indicator item based on the acquired values ​​of each target indicator item.

[0147] Among them, the information coefficient corresponding to the target indicator item is used to characterize the amount of information reflected by the target indicator item alone.

[0148] The objective weight calculation unit 603 is used to calculate the ratio of the information coefficient corresponding to each target indicator item to the sum of the information coefficients corresponding to all target indicator items, so as to obtain the objective weight corresponding to each target indicator item.

[0149] The comprehensive weight calculation unit 604 is used to calculate the comprehensive weight corresponding to each target indicator item based on the objective weight and the corresponding subjective weight corresponding to each target indicator item.

[0150] The subjective weight corresponding to each target indicator item is calculated in advance based on the priority diagram method for each target indicator item.

[0151] The weighting unit 605 is used to multiply each numerical value on the target indicator item by the comprehensive weight corresponding to the target indicator item for each target indicator item, so as to obtain each weighted value on the target indicator item.

[0152] The resilience evaluation unit 606 is used to calculate the resilience index of each power grid to be evaluated based on the distance between the index matrix of each power grid to be evaluated and the positive ideal matrix.

[0153] The positive ideal matrix includes the maximum value of each weighted value on each target indicator item. The indicator matrix of a power grid to be evaluated includes the weighted values ​​of each target indicator item of the power grid to be evaluated. The smaller the distance between the indicator matrix of the power grid to be evaluated and the positive ideal matrix, the greater the resilience index of the power grid to be evaluated.

[0154] The sorting unit 607 is used to sort the power grids to be evaluated in descending order of the resilience index.

[0155] Optionally, in a power grid resilience assessment device provided in another embodiment of the present application, the target index items include pre-disaster prevention stage index items, disaster development stage index items, post-disaster recovery stage index items, power generation side index items, and transmission side index items.

[0156] Among them, the indicators in the pre-disaster prevention stage include at least emergency resource regulation capability indicators, important load distribution uniformity, crisis warning capability indicators, new energy prediction accuracy, and regional backup power supply coverage rate.

[0157] The indicators in the disaster development stage include at least the power loss of traditional thermal power units, the power loss of new energy units, the loss of key bus load, the total load loss, and the power outage loss.

[0158] The indicators in the post-disaster recovery stage include at least the recovery efficiency of traditional units, the recovery efficiency of new energy units, the recovery efficiency of key loads, and the recovery efficiency of total loads.

[0159] The indicators on the power generation side include at least the substation full shutdown inspection pass rate, the traditional unit outage rate and the new energy unit outage rate.

[0160] The transmission side indicators include at least the transmission line strength, key bus load loss rate, and total load loss rate.

[0161] Optionally, in another embodiment of the present application, the power grid resilience assessment device further includes:

[0162] The second acquisition unit is used to obtain the relative importance score between every two target indicator items.

[0163] The relative importance score is determined and input by the user.

[0164] The total score calculation unit is used to calculate the sum of the relative importance scores between each target indicator item and other target indicator items for each target indicator item to obtain the total score of the target indicator item.

[0165] The subjective weight calculation unit is used to divide the total score of each target indicator item by the sum of the total scores of all target indicator items to obtain the subjective weight corresponding to each target indicator item.

[0166] Optionally, in another embodiment of the present application, the power grid resilience assessment device further includes:

[0167] The positive conversation unit is used to convert the values ​​of each target indicator item belonging to the negative indicator item into positive ones.

[0168] Optionally, in the power grid resilience assessment device provided in another embodiment of the present application, the information coefficient calculation unit includes:

[0169] The standard deviation calculation unit is used to calculate the standard deviation of the value on each target indicator item based on the acquired value on each target indicator item.

[0170] The correlation coefficient calculation unit is used to calculate the correlation coefficient between every two target indicator items based on the acquired numerical value of each target indicator item.

[0171] The indicator conflict coefficient calculation unit is used to, for each target indicator item, subtract the correlation coefficient between the target indicator item and each other target indicator item from 1, and sum the obtained differences to obtain the indicator conflict coefficient of the target indicator item.

[0172] The information coefficient calculation subunit is used to calculate the product of the standard deviation of the numerical value on each target indicator item and the indicator conflict coefficient of the target indicator item, so as to obtain the information coefficient corresponding to each target indicator item.

[0173] Optionally, in a power grid resilience assessment device provided in another embodiment of the present application, a resilience assessment unit includes:

[0174] The matrix determination unit is used to determine a positive ideal matrix and a negative ideal matrix based on the weighted values ​​of each target indicator item, wherein the negative ideal matrix includes the minimum value of the weighted values ​​of each target indicator item.

[0175] The distance calculation unit is used to respectively calculate the distance between the indicator matrix of each power grid to be evaluated and the positive ideal matrix, and the distance between the indicator matrix of each power grid to be evaluated and the negative ideal matrix.

[0176] The relative closeness calculation unit is used for dividing the distance between the index matrix of the power grid to be evaluated and the negative ideal matrix by the total distance for each power grid to be evaluated, so as to obtain the resilience index of the power grid to be evaluated.

[0177] The total distance is the sum of the distance between the indicator matrix of the power grid to be evaluated and the positive ideal matrix plus the distance between the indicator matrix of the power grid to be evaluated and the negative ideal matrix.

[0178] It should be noted that the specific working process of each unit provided in the above embodiments of the present application can refer to the corresponding steps provided in the above method embodiments, and will not be repeated here.

[0179] Another embodiment of the present application provides an electronic device, such as Figure 7 As shown, including:

[0180] Memory 701 and processor 702 .

[0181] The memory 701 is used to store programs.

[0182] The processor 702 is used to execute the program stored in the memory 701. When the program is executed, it is specifically used to implement the power grid resilience assessment method provided in any one of the above embodiments.

[0183] A fourth aspect of the present application provides a computer storage medium for storing a computer program, which, when executed, is used to implement a power grid resilience assessment method as provided in any one of the above embodiments.

[0184] Computer storage media includes permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer-readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer-readable media does not include temporary computer-readable media (transitory media), such as modulated data signals and carrier waves.

[0185] Professionals may further appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in the above description according to function. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians may 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.

[0186] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for evaluating power grid resilience, characterized in that: include: Obtaining the values ​​of each power grid to be evaluated on multiple target indicator items; Based on the obtained values ​​of each of the target indicator items, the information coefficient corresponding to each of the target indicator items is calculated respectively; wherein the information coefficient corresponding to the target indicator item is used to characterize the size of the information amount reflected by the target indicator item alone; Respectively calculating the ratio of the information coefficient corresponding to each target indicator item to the sum of the information coefficients corresponding to all the target indicator items, to obtain the objective weight corresponding to each target indicator item; Based on the objective weight and the corresponding subjective weight corresponding to each of the target indicator items, the comprehensive weight corresponding to each of the target indicator items is calculated; wherein the subjective weight corresponding to each of the target indicator items is calculated in advance for each of the target indicator items based on the priority diagram method; For each of the target indicator items, multiply each numerical value on the target indicator item by the comprehensive weight corresponding to the target indicator item to obtain each weighted value on the target indicator item; The resilience index of each power grid to be evaluated is calculated based on the distance between the index matrix of each power grid to be evaluated and the positive ideal matrix; wherein the positive ideal matrix includes the maximum value of each weighted value on each target index item; an index matrix of the power grid to be evaluated includes each weighted value of the power grid to be evaluated on each target index item; the smaller the distance between the index matrix of the power grid to be evaluated and the positive ideal matrix, the greater the resilience index of the power grid to be evaluated; The power grids to be evaluated are sorted according to the order of the resilience index from large to small.

2. The method according to claim 1, characterized in that The target indicator items include pre-disaster prevention stage indicator items, disaster development stage indicator items, post-disaster recovery stage indicator items, power generation side indicator items and transmission side indicator items; wherein, the pre-disaster prevention stage indicator items at least include emergency resource regulation capability indicators, important load distribution uniformity, crisis warning capability indicators, new energy prediction accuracy, and regional backup power supply coverage rate; the disaster development stage indicator items at least include traditional thermal power unit loss power, new energy unit loss power, key bus load loss, total load loss, and power outage loss; the post-disaster recovery stage indicator items at least include traditional unit recovery efficiency, new energy unit recovery efficiency, key load recovery efficiency, and total load recovery efficiency; the power generation side indicator items at least include substation full shutdown verification pass rate, traditional unit shutdown rate, and new energy unit shutdown rate; the transmission side indicator items at least include transmission line strength, key bus load loss rate, and total load loss rate.

3. The method according to claim 1, characterized in that Before calculating the comprehensive weight corresponding to each target indicator item based on the objective weight and the corresponding subjective weight corresponding to each target indicator item, the method further includes: Obtaining a relative importance score between each two of the target indicator items; wherein the relative importance score is determined and input by a user; For each target indicator item, calculate the sum of the relative importance scores between the target indicator item and each of the other target indicator items to obtain a total score of the target indicator item; The total score of each target indicator item is divided by the sum of the total scores of all the target indicator items to obtain the subjective weight corresponding to each target indicator item.

4. The method according to claim 1, characterized in that: After obtaining the values ​​of each power grid to be evaluated on multiple target indicator items, the method further includes: The values ​​of each of the target index items belonging to the negative index items are made positive.

5. The method according to claim 1, characterized in that The step of calculating the information coefficient corresponding to each target indicator item based on the obtained values ​​of each target indicator item includes: Calculating the standard deviation of the values ​​of each target indicator item based on the obtained values ​​of each target indicator item; Based on the obtained values ​​of each of the target indicator items, calculating the correlation coefficient between every two of the target indicator items; For each of the target indicator items, respectively subtract the correlation coefficient between the target indicator item and each of the other target indicator items from 1, and sum the obtained differences to obtain the indicator conflict coefficient of the target indicator item; The product of the standard deviation of the numerical value on each of the target indicator items and the indicator conflict coefficient of the target indicator item is calculated respectively to obtain the information quantity coefficient corresponding to each of the target indicator items.

6. The method according to claim 1, characterized in that The calculating the resilience index of each power grid to be evaluated based on the distance between the index matrix of each power grid to be evaluated and the positive ideal matrix respectively includes: Based on the weighted values ​​of each of the target indicator items, the positive ideal matrix and the negative ideal matrix are determined; wherein the negative ideal matrix includes the minimum value of the weighted values ​​of each of the target indicator items; Respectively calculating the distance between the indicator matrix of each of the power grids to be evaluated and the positive ideal matrix, and the distance between the indicator matrix of each of the power grids to be evaluated and the negative ideal matrix; For each of the power grids to be evaluated, the distance between the indicator matrix of the power grid to be evaluated and the negative ideal matrix is ​​divided by the total distance to obtain the resilience index of the power grid to be evaluated; wherein the total distance is the sum of the distance between the indicator matrix of the power grid to be evaluated and the positive ideal matrix plus the distance between the indicator matrix of the power grid to be evaluated and the negative ideal matrix.

7. A power grid resilience assessment device, characterized in that: include: A first acquisition unit is used to acquire the values ​​of each power grid to be evaluated on multiple target indicator items; An information coefficient calculation unit, used to calculate the information coefficient corresponding to each of the target indicator items based on the obtained values ​​of each of the target indicator items; wherein the information coefficient corresponding to the target indicator item is used to characterize the size of the information amount reflected by the target indicator item alone; An objective weight calculation unit, used to calculate the ratio of the information coefficient corresponding to each target indicator item to the sum of the information coefficients corresponding to all the target indicator items, to obtain the objective weight corresponding to each target indicator item; A comprehensive weight calculation unit, used to calculate the comprehensive weight corresponding to each of the target indicator items based on the objective weight and the corresponding subjective weight corresponding to each of the target indicator items; wherein the subjective weight corresponding to each of the target indicator items is calculated in advance for each of the target indicator items based on the priority diagram method; A weighting unit, for each of the target indicator items, multiplying each numerical value on the target indicator item by the comprehensive weight corresponding to the target indicator item to obtain each weighted value on the target indicator item; A resilience assessment unit, configured to calculate the resilience index of each power grid to be assessed based on the distance between the index matrix of each power grid to be assessed and the positive ideal matrix; wherein the positive ideal matrix includes the maximum value of each weighted value on each target index item; an index matrix of the power grid to be assessed includes each weighted value of the power grid to be assessed on each target index item; the smaller the distance between the index matrix of the power grid to be assessed and the positive ideal matrix, the greater the resilience index of the power grid to be assessed; The sorting unit is used to sort the power grids to be evaluated in descending order of the resilience index.

8. The device according to claim 7, characterized in that The target indicator items include pre-disaster prevention stage indicator items, disaster development stage indicator items, post-disaster recovery stage indicator items, power generation side indicator items and transmission side indicator items; wherein, the pre-disaster prevention stage indicator items at least include emergency resource regulation capability indicators, important load distribution uniformity, crisis warning capability indicators, new energy prediction accuracy, and regional backup power supply coverage rate; the disaster development stage indicator items at least include traditional thermal power unit loss power, new energy unit loss power, key bus load loss, total load loss, and power outage loss; the post-disaster recovery stage indicator items at least include traditional unit recovery efficiency, new energy unit recovery efficiency, key load recovery efficiency, and total load recovery efficiency; the power generation side indicator items at least include substation full shutdown verification pass rate, traditional unit shutdown rate, and new energy unit shutdown rate; the transmission side indicator items at least include transmission line strength, key bus load loss rate, and total load loss rate.

9. An electronic device, characterized in that: include: Memory and processor; Wherein, the memory is used to store programs; The processor is used to execute the program, and when the program is executed, it is specifically used to implement the power grid resilience assessment method according to any one of claims 1 to 6.

10. A computer storage medium, characterized in that: Used to store a computer program, which, when executed, is used to implement the power grid resilience assessment method according to any one of claims 1 to 6.

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