Transformer substation scheme comparison and selection method considering full life cycle and related device

Abstract

The embodiment of the invention discloses a transformer substation scheme comparison and selection method considering a full life cycle and a related device. According to the method, multiple key evaluation indexes of a substation scheme are determined, the subjective weight and the objective weight of each evaluation index are obtained according to the multiple key evaluation indexes, and the subjective weight and the objective weight are combined through a weight combination method to obtain the comprehensive weighting weight of each evaluation index. The evaluation index value corresponding to the key evaluation index of each transformer substation scheme is obtained, each transformer substation scheme is evaluated based on the comprehensive weighting weight, and finally the scheme with the highest evaluation result is selected as the optimal transformer substation scheme. By adopting the embodiment of the invention, the multi-dimensional influence factors of the substation project implementation scheme are comprehensively evaluated, and the substation project implementation scheme with high cost effectiveness is selected.

Description

Technical Field

[0001] The present application relates to the technical field of power distribution networks, and in particular to a method for comparing and selecting substation solutions taking into account the entire life cycle and related devices. Background Art

[0002] With the rapid development of new power systems, substations, as key infrastructure, are increasingly valued for their construction and management costs. In order to maximize the economy and efficiency of substation projects, existing evaluation technologies are based on the results of substation construction management over the entire life cycle, and make precise investments in substation projects by considering the full life cycle theory. However, when faced with the comparison of multiple implementation plans, existing technologies fail to make full use of big data related technologies to analyze the impact of different influencing indicators on different implementation plans.

[0003] Therefore, how to comprehensively evaluate the multi-dimensional influencing factors of substation project implementation plans and select cost-effective substation project implementation plans has become an urgent problem to be solved. Summary of the invention

[0004] The embodiment of the present application provides a substation scheme comparison method and related devices that consider the entire life cycle, by determining multiple key evaluation indicators of the substation scheme, and obtaining the subjective weight and objective weight of each evaluation indicator based on the multiple key evaluation indicators, the comprehensive weighting weight of each evaluation indicator can be obtained by combining the subjective weight and the objective weight through a weight combination method, by obtaining the evaluation indicator value corresponding to the key evaluation indicator of each substation scheme, and evaluating each substation scheme based on the comprehensive weighting weight, and finally selecting the scheme with the highest evaluation result as the optimal substation scheme. By adopting the embodiment of the present application, the multi-dimensional influencing factors of the substation project implementation plan are comprehensively evaluated, and the substation project implementation plan with high cost-effectiveness is selected. The multi-dimensional influencing factors of the substation project implementation plan are comprehensively evaluated, and the substation project implementation plan with high cost-effectiveness is selected.

[0005] In a first aspect, an embodiment of the present application provides a substation scheme comparison method considering the entire life cycle, the method comprising:

[0006] Determine the target evaluation indicator set corresponding to the sample substation solution; the target evaluation indicator set includes purchase cost, operation and maintenance cost, repair cost, life cycle carbon cost, system reliability, operation and maintenance difficulty, scalability, operation safety, environmental protection capability and related industry pull rate;

[0007] Constructing a target judgment matrix according to the target evaluation index set;

[0008] Performing subjective weight analysis on the target judgment matrix to obtain a target subjective weight table; the target subjective weight table includes multiple evaluation indicators and multiple subjective weights; the evaluation indicators and the subjective weights correspond one to one;

[0009] Performing objective weight analysis on the target judgment matrix to obtain a target objective weight table; the target objective weight table includes multiple evaluation indicators and multiple objective weights; the evaluation indicators and the objective weights correspond one to one;

[0010] Based on the combined weight method, the subjective weight and the objective weight corresponding to each evaluation indicator in the target subjective weight table and the target objective weight table are combined to obtain a target comprehensive weighted weight table; the target comprehensive weighted weight table includes multiple evaluation indicators and multiple comprehensive weighted weights; the evaluation indicators and the comprehensive weighted weights correspond to each other one by one;

[0011] Obtain multiple substation solutions;

[0012] Determine the evaluation index value of each substation scheme in the multiple substation schemes based on the target evaluation index set, and obtain multiple scheme index value groups; each scheme index value group includes multiple evaluation index values;

[0013] Determine an evaluation result of each substation scheme in the multiple substation schemes according to the target comprehensive weighting weight table and the multiple scheme indicator value groups to obtain multiple evaluation results;

[0014] A maximum value is selected from the multiple evaluation results, and a substation solution corresponding to the maximum value is determined as a target optimal substation solution.

[0015] In a second aspect, an embodiment of the present application provides a substation scheme comparison and selection device considering the entire life cycle, wherein the substation scheme comparison and selection device considering the entire life cycle includes: a data determination unit, a matrix construction unit, a data analysis unit, a weight combination unit, a data acquisition unit, and a data comparison and selection unit, wherein:

[0016] The data determination unit is used to determine the target evaluation index set corresponding to the sample substation solution; the target evaluation index set includes purchase cost, operation and maintenance cost, repair cost, life cycle carbon cost, system reliability, operation and maintenance difficulty, scalability, operation safety, environmental protection capability and related industry pull rate;

[0017] The matrix construction unit is used to construct a target judgment matrix according to the target evaluation index set;

[0018] The data analysis unit is used to perform subjective weight analysis on the target judgment matrix to obtain a target subjective weight table; the target subjective weight table includes multiple evaluation indicators and multiple subjective weights; the evaluation indicators and subjective weights correspond one to one;

[0019] The data analysis unit is further used to perform objective weight analysis on the target judgment matrix to obtain a target objective weight table; the target objective weight table includes multiple evaluation indicators and multiple objective weights; the evaluation indicators and the objective weights correspond one to one;

[0020] The weight combination unit is used to combine the subjective weight and the objective weight corresponding to each evaluation indicator in the target subjective weight table and the target objective weight table based on the combined weight method to obtain a target comprehensive weighted weight table; the target comprehensive weighted weight table includes multiple evaluation indicators and multiple comprehensive weighted weights; the evaluation indicators and the comprehensive weighted weights correspond to each other one by one;

[0021] The data acquisition unit is used to acquire multiple substation solutions;

[0022] The data determination unit is further used to determine the evaluation index value of each substation scheme in the multiple substation schemes based on the target evaluation index set to obtain multiple scheme index value groups; each scheme index value group includes multiple evaluation index values;

[0023] The data determination unit is further used to determine the evaluation result of each substation scheme in the multiple substation schemes according to the target comprehensive weighting weight table and the multiple scheme indicator value groups to obtain multiple evaluation results;

[0024] The data comparison and selection unit is used to select a maximum value from the multiple evaluation results, and determine the substation solution corresponding to the maximum value as the target optimal substation solution.

[0025] In a third aspect, an embodiment of the present application provides an electronic device, comprising: a processor, a memory, a communication interface, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the processor, and the program includes instructions for executing the steps in the first aspect of the embodiment of the present application.

[0026] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program for electronic data exchange, wherein the computer program enables a computer to execute part or all of the steps described in the first aspect of the embodiment of the present application.

[0027] In a fifth aspect, an embodiment of the present application provides a computer program product, wherein the computer program product includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to execute some or all of the steps described in the first aspect of the embodiment of the present application. The computer program product may be a software installation package.

[0028] By implementing the embodiments of the present application, multiple key evaluation indicators of the substation solution are determined, and the subjective weight and objective weight of each evaluation indicator are obtained based on the multiple key evaluation indicators. The comprehensive weighting weight of each evaluation indicator can be obtained by combining the subjective weight and the objective weight through the weight combination method. The evaluation indicator value corresponding to the key evaluation indicator of each substation solution is obtained, and each substation solution is evaluated based on the comprehensive weighting weight, and finally the solution with the highest evaluation result is selected as the optimal substation solution. By adopting the embodiments of the present application, the multi-dimensional influencing factors of the substation project implementation plan are comprehensively evaluated, and the substation project implementation plan with high cost-effectiveness is selected. The multi-dimensional influencing factors of the substation project implementation plan are comprehensively evaluated, and the substation project implementation plan with high cost-effectiveness is selected. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the background technology, the drawings required for use in the embodiments of the present application or the background technology will be described below.

[0030] Figure 1 It is a flowchart of a substation scheme comparison method considering the whole life cycle provided in an embodiment of the present application;

[0031] Figure 2 It is a structural schematic diagram of a substation scheme comparison and selection device considering the whole life cycle provided in an embodiment of the present application;

[0032] Figure 3 It is a structural schematic diagram of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0033] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings 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.

[0034] The terms "first", "second", etc. in the specification and claims of this application and the above-mentioned drawings are used to distinguish different objects, rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally includes steps or units that are not listed, or optionally includes other steps or units inherent to these processes, methods, products or devices.

[0035] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0036] The following is an explanation of the relevant contents, concepts, meanings, technical issues, technical solutions, beneficial effects, etc. involved in the embodiments of the present application.

[0037] First, some terms involved in this application are explained:

[0038] 1-9 Scale: 1-9 scale refers to a rating system used to quantify and evaluate data. The scale system generally includes numbers from 1 to 9, and users can choose a number within this range based on their opinions or feelings. For example, to evaluate the relative importance of two factors, the number 1 means that the two factors are equally important, and the number 3 means that one factor is slightly more important than the other. If the relative importance of factor 1 relative to factor 2 is 3, then the relative importance of factor 2 relative to factor 1 is 1 / 3.

[0039] Consistency check: Consistency check is a method used to evaluate the consistency of evaluation results in a judgment matrix. It is used to check whether the evaluator's judgment is consistent. For example, when comparing multiple options, consistency check can determine whether the evaluator's judgment is logically consistent.

[0040] Average random consistency index value table: The average random consistency index is used to evaluate the consistency of the decision matrix, and the average random consistency index value table provides the standard values ​​of the random consistency index of matrices of different sizes, which is used to compare the consistency index actually calculated to determine whether the consistency of the matrix meets expectations.

[0041] Correlation analysis: Correlation analysis is used to measure the strength and direction of the relationship between two or more variables. It evaluates the linear relationship between variables by calculating correlation coefficients (such as Pearson correlation coefficient, Spearman rank correlation coefficient, etc.).

[0042] See also Figure 1 , Figure 1 The present invention provides a flow chart of a method for selecting a substation solution taking into account the entire life cycle, which includes but is not limited to the following steps:

[0043] S101. Determine the target evaluation indicator set corresponding to the sample substation solution; the target evaluation indicator set includes purchase cost, operation and maintenance cost, inspection cost, life cycle carbon cost, system reliability, operation and maintenance difficulty, scalability, operation safety, environmental protection capability and related industry driving rate.

[0044] In the embodiment of the present application, the substation plan refers to a detailed plan for substation construction and operation designed and formulated for a specific area or demand during the planning and construction of the power system. A series of evaluation indicators are designed for the substation plan to evaluate the cost-effectiveness of the substation plan under different evaluation indicators.

[0045] Specifically, a sample substation scheme can be determined as a reference scheme, and a target evaluation indicator set corresponding to the sample substation scheme can be designed. Specifically, the key dimensions of the sample substation scheme can be analyzed. These key dimensions may include economic, technical and social dimensions, and relevant data of the sample substation scheme can be collected, such as cost data, technical parameters, environmental impact assessment, etc. Based on the key dimensions and relevant data, specific quantitative indicators are defined, and finally the target evaluation indicator set is determined.

[0046] Furthermore, by analyzing the sample substation schemes, the standard weights of each evaluation index in the scheme evaluation can be determined. In the actual evaluation, since different substation schemes have different index values ​​corresponding to different evaluation indicators, but the weight of each evaluation indicator is unified, it can be determined that the evaluation results of different substation schemes are different, so different substation schemes can be compared and selected.

[0047] Among them, the target evaluation indicator set includes purchase cost, operation and maintenance cost, inspection cost, life cycle carbon cost, system reliability, variable operation and maintenance difficulty, scalability, operation safety, environmental protection capability and related industry pull rate.

[0048] Optionally, the economic dimension may include evaluation indicators such as purchase cost, operation and maintenance cost, repair cost and full life cycle carbon cost.

[0049] Among them, the acquisition cost usually includes the purchase cost and the installation cost. The calculation formula of the evaluation index value is as follows:

[0050] C GZ =C CG +C AZ

[0051] In the above formula, C GZ is the purchase cost of the substation equipment; C CG is the purchase cost of the substation equipment; C AZ The installation cost of the substation equipment.

[0052] Among them, the operation and maintenance costs usually include operation costs, maintenance costs, inspection costs and monitoring costs. The calculation formula of the evaluation index value is as follows:

[0053] C YW (t) = C CZ C CZ (t)+C WH C WH (t)+C XS C XS (t)+C JC C JC (t)

[0054]

[0055] In the above formula, C YW (t) is the operation and maintenance cost in year t; C CZ is the single operation cost of the substation equipment; C CZ (t) is the operation frequency of substation equipment in year t; C WH is the single maintenance cost of the substation equipment; C WH (t) is the maintenance frequency of substation equipment in year t; C XS is the cost of a single inspection of the substation equipment; C XS (t) is the number of inspections of substation equipment in year t; C JC is the single monitoring cost of the substation equipment; C JC (t) is the monitoring frequency of substation equipment in year t; C YW is the maintenance cost; i is the discount rate; T is the operation period.

[0056] Among them, the maintenance cost usually includes routine maintenance cost, fault elimination cost, test cost and overhaul cost. The calculation formula of the evaluation index value is as follows:

[0057] C JX (t) = C LXJX C LXJX (t)+C XQ C XQ (t)+C SY C SY (t)+C DX

[0058]

[0059] In the above formula, C JX (t) is the maintenance cost in year t; C LXJX is the cost of a single routine maintenance of substation equipment; C LXJX (t) is the routine maintenance frequency of substation equipment in year t; C XQ is the cost of eliminating faults in substation equipment once; C XQ(t) is the frequency of failure elimination of substation equipment in year t; C SY is the single test cost of the substation equipment; C SY (t) is the test frequency of substation equipment in year t; C DX is the overhaul cost of substation equipment; C JX is the maintenance cost; i is the discount rate; T is the operation period.

[0060] Among them, the life cycle carbon cost is one of the key indicators for evaluating the sustainability of new power systems. It can be determined by multiplying the life cycle carbon emissions by the unit carbon emission cost. The calculation formula for the evaluation index value is as follows:

[0061]

[0062] In the above formula, C TP is the carbon cost of the entire life cycle; prc is the unit carbon emission cost; E M Carbon emissions generated during the production of substation equipment; E T Carbon emissions generated during the transportation of substation equipment; E I Carbon emissions generated during the installation of substation equipment; E O,t E is the carbon emissions generated by the substation equipment during the operation period of year t; D is the carbon emission generated during the scrapping and disposal of substation equipment; i is the discount rate; T is the operation period.

[0063] Optionally, the technical dimension may include evaluation indicators such as system reliability, ease of operation and maintenance, and scalability.

[0064] Among them, system reliability refers to the ability of the power system to complete the established functions under specified conditions and within the specified time, reflecting the stability and reliability of the normal operation of the system; the difficulty of operation and maintenance refers to the difficulty of the substation in the operation and maintenance process, including the operability, maintainability and troubleshooting of the equipment; scalability refers to the ability of the substation to adapt to load growth and technological upgrades in future development, including the flexibility of the system architecture and the compatibility of expanded resources.

[0065] Optionally, the social dimension may include evaluation indicators such as operational safety, environmental protection capabilities and related industry driving rate.

[0066] Among them, operational safety refers to the ability of the substation to ensure personnel safety, equipment safety and data security during operation, as well as measures to prevent and respond to emergencies. Environmental protection capability refers to the ability of the substation to control the impact on the environment during construction and operation, including reducing pollution emissions, reducing noise interference and protecting the ecological environment. The related industry driving rate refers to the driving effect of the substation project on the upstream and downstream industrial chains, including economic contributions to related industries such as raw material supply, equipment manufacturing, and construction services.

[0067] In the embodiment of the present application, the substation solution is evaluated from three dimensions: economic, technical and social, so as to achieve a comprehensive evaluation of the feasibility and benefits of the solution.

[0068] Optionally, the above step S101, determining the target evaluation index set corresponding to the sample substation solution, may further include the following steps:

[0069] A11. Obtain a reference evaluation index set corresponding to the sample substation solution;

[0070] A12. Determine the key dimensions of the sample substation solution over the entire life cycle to obtain multiple key dimensions;

[0071] A13, selecting evaluation indicators corresponding to the multiple key dimensions from the reference evaluation indicator set to obtain multiple evaluation indicators;

[0072] A14. Determine the target evaluation index set corresponding to the sample substation solution according to the multiple evaluation indexes.

[0073] Specifically, a reference evaluation index set corresponding to the sample substation solution is obtained. The reference evaluation index set may be composed of industry standards, previous project experience or expert knowledge, which may include multiple dimensions, such as economic, technical, social, environmental and other dimensions. Each dimension includes its specific evaluation indicators. For example, the economic dimension may include purchase cost, operation and maintenance cost, inspection cost, failure cost, etc.

[0074] Furthermore, by determining the key dimensions of the sample substation solution over its entire life cycle, multiple key dimensions can be obtained. For example, the key dimensions of the sample substation solution over its entire life cycle may be economic, technical, and social dimensions. Based on these key dimensions, corresponding evaluation indicators are selected from the reference evaluation indicator set to obtain multiple evaluation indicators. Based on the multiple indicators, the target evaluation indicator set corresponding to the sample substation solution can be determined to ensure that the evaluation indicators in the target evaluation indicator set can cover the solution in multiple dimensions.

[0075] S102: construct a target judgment matrix according to the target evaluation index set.

[0076] Among them, the target judgment matrix is ​​a decision-making tool used to evaluate and compare the performance of substation solutions under multiple evaluation indicators. The weights of different evaluation indicators can be determined by analyzing and calculating the target judgment matrix.

[0077] Specifically, all evaluation indicators in the target evaluation indicator set can be listed, and each pair of evaluation indicators can be scaled based on a preset scaling method, where the preset scaling method can be a 1-9 scaling method, which is not limited here. When scaling, the relative importance of each pair of evaluation indicators can be compared, and these comparison results can be filled into the target judgment matrix to form an n×n matrix, where n is the order of the target judgment matrix, and also represents the number of evaluation indicators in the target evaluation indicator set.

[0078] In a specific embodiment, by comparing 10 evaluation indicators in the target evaluation indicator set, a target judgment matrix with an order of 10 can be constructed. The target judgment matrix can be shown in Table 1.

[0079] Table 1 Example of target judgment matrix

[0080]

[0081]

[0082] Optionally, the above step S102, constructing a target judgment matrix according to the target evaluation index set, may further include the following steps:

[0083] A21. Determine the index value of each evaluation index in the target evaluation index set according to the sample substation plan to obtain multiple index values;

[0084] A22, based on the multiple indicator values, scaling the importance between any two evaluation indicators in the target evaluation indicator set using a preset scaling method to obtain multiple scaling values;

[0085] A23. Construct the target judgment matrix based on the multiple scale values.

[0086] Specifically, each evaluation indicator in the target evaluation indicator set can be quantified according to the sample substation solution, and the indicator value of each evaluation indicator can be determined to obtain multiple indicator values. The importance between any two indicators in the target evaluation indicator set can be scaled using a preset scaling method based on the multiple indicator values ​​as a reference to obtain multiple scaling values, and a target judgment matrix can be constructed based on the multiple scaling values.

[0087] S103, performing subjective weight analysis on the target judgment matrix to obtain a target subjective weight table; the target subjective weight table includes multiple evaluation indicators and multiple subjective weights; the evaluation indicators and the subjective weights correspond one to one.

[0088] Specifically, subjective weight analysis is performed on the target judgment matrix, and the target judgment matrix can be standardized. By calculating the sum of the column vectors of each indicator and dividing each element of each row by the sum of its column vectors, a standard judgment matrix is ​​finally obtained. Then, the standard judgment matrix is ​​normalized to obtain the weight coefficient corresponding to each indicator, that is, the subjective weight of each indicator, and a target subjective weight table is constructed according to the subjective weight of each indicator. The target subjective weight table reflects the relative importance of each evaluation indicator in the evaluation of the substation plan. Based on the relative importance of different indicators, the evaluation results of different evaluation indicators on the substation plan are systematically analyzed.

[0089] Among them, the target judgment matrix can be standardized by the following formula:

[0090]

[0091] In the above formula, x ij is the comparison result of the importance of the i-th indicator and the j-th indicator in the target judgment matrix; This is the importance comparison result after standardization.

[0092] Among them, the standard judgment matrix can be normalized by the following formula:

[0093]

[0094] In the above formula, is the sum of the row vectors of the i-th indicator in the standard judgment matrix; w 1i is the weight coefficient of the ith indicator, that is, the subjective weight.

[0095] In a specific embodiment, based on the target judgment matrix example table in Table 1 above, the subjective weight of each indicator is obtained by standardizing and normalizing the target judgment matrix, and a target subjective weight table is constructed according to the subjective weight of each indicator, wherein the target subjective weight table can be shown in Table 2.

[0096] Table 2 Example of subjective weight table of target

[0097]

[0098]

[0099] Optionally, after performing subjective weight analysis on the target judgment matrix to obtain a target subjective weight table in the above step S103, the following steps may also be included:

[0100] A31. Determine the target maximum eigenvalue of the target judgment matrix based on a first preset formula and the target subjective weight table; the first preset formula is as follows:

[0101]

[0102] Among them, λ max is the maximum eigenvalue of the target; D is the target judgment matrix; W is the target subjective weight table; w 1i is the i-th weight corresponding to the target subjective weight table; DW is the weighted target judgment matrix obtained by multiplying the target judgment matrix by the target subjective weight table; (DW) ij is the matrix element in the i-th row and j-th column of the weighted target judgment matrix;

[0103] A32, determining the target matrix order of the target judgment matrix;

[0104] A33, determining a target consistency index according to the target maximum eigenvalue and the target matrix order;

[0105] A34, determining the target random consistency index value corresponding to the target matrix order according to a preset average random consistency index value table;

[0106] A35. Determine a target consistency ratio based on the target consistency index and the target random consistency index value;

[0107] A36. When the target consistency ratio is less than a preset first threshold, it is determined that the target judgment matrix passes the consistency test;

[0108] A37. When the target consistency ratio is not less than the first threshold value, re-execute the step of constructing a target judgment matrix based on the target evaluation index set.

[0109] Specifically, the target maximum eigenvalue of the target judgment matrix is ​​determined based on the first preset formula and the target subjective weight table. The target maximum eigenvalue reflects the central tendency of the evaluation logic structure, and its numerical value can indirectly reflect the relative difference between the evaluation indicators, thereby ensuring the consistency and reliability of the evaluation process.

[0110] To illustrate with an example, the calculation process of the first preset formula can be as follows, wherein D is the target judgment matrix, W is the target subjective weight table, DW represents the matrix obtained by multiplying the target judgment matrix by the target subjective weight table, which can be expressed as a weighted target judgment matrix. The summation result is obtained by summing the row vectors of the weighted target judgment matrix, and the eigenvalue of each indicator is obtained by dividing the summation result by the weight corresponding to the i-th indicator in the target subjective weight table. The eigenvalues ​​of 10 indicators are summed and averaged to obtain the average eigenvalue, which is used as the target maximum eigenvalue of the target judgment matrix.

[0111] Further, the target matrix order of the target judgment matrix is ​​determined, and the target consistency index is determined according to the target maximum eigenvalue and the target matrix order. The target consistency index is a quantitative index for measuring the consistency of the relative importance of each element in the judgment matrix. Then, the target random consistency index value corresponding to the target matrix order can be determined according to the preset average random consistency index value table. For example, in the embodiment of the present application, the target matrix order of the target judgment matrix is ​​10, and the target random consistency index value can be determined to be 1.49.

[0112] Furthermore, the target consistency ratio can be obtained by dividing the target consistency index by the target random consistency index value. When the target consistency ratio is less than a preset first threshold, it is determined that the target judgment matrix passes the consistency test. The first threshold can be 0.1, indicating that when the target consistency ratio is less than 0.1, the scale of the surface target judgment matrix is ​​reasonable and consistent. Otherwise, when the target consistency ratio is not less than the first threshold, it is necessary to re-execute the step of constructing the target judgment matrix according to the target evaluation index set, and perform subjective weight analysis on the reconstructed target judgment matrix until the target judgment matrix passes the consistency test to ensure the accuracy and reliability of the evaluation process.

[0113] S104, performing objective weight analysis on the target judgment matrix to obtain a target objective weight table; the target objective weight table includes multiple evaluation indicators and multiple objective weights; the evaluation indicators and the objective weights correspond one to one.

[0114] Specifically, an objective weight analysis is performed on the target judgment matrix. First, the data in the target judgment matrix is ​​standardized. Different standardization strategies can be adopted according to the evaluation indicators. For example, for positive indicators, such as system reliability, the larger the indicator value, the better it is, so forward processing is adopted; for reverse indicators, such as purchase cost, the smaller the indicator value, the better it is, so reverse processing is adopted to obtain a standardized judgment matrix. Next, the standard deviation of each evaluation indicator in the standardized judgment matrix is ​​calculated to measure the degree of dispersion of each indicator value. At the same time, the correlation coefficient between each evaluation indicator can be calculated through the Pearson correlation coefficient to evaluate the interdependence between indicators. Finally, based on the standard deviation and correlation coefficient, the objective weight of each evaluation indicator in the substation scheme can be determined. By performing an objective weight analysis on the target judgment matrix, the influence of subjective judgment can be reduced and the objectivity of weight allocation can be improved.

[0115] Among them, the forward processing can be done by the following formula:

[0116]

[0117] In the above formula, x ij is the comparison result of the importance of the i-th indicator and the j-th indicator in the target judgment matrix; x i ` j is the importance comparison result after positive processing; min(x j ) represents the minimum value of the matrix elements in the jth column; max(x j ) represents the maximum value of the matrix elements in the jth column.

[0118] Among them, the inverse processing can be achieved through the following formula:

[0119]

[0120] In the above formula, x ij is the comparison result of the importance of the i-th indicator and the j-th indicator in the target judgment matrix; x i ` j is the importance comparison result after inverse processing; min(x j ) represents the minimum value of the matrix elements in the jth column; max(x j ) represents the maximum value of the matrix elements in the jth column.

[0121] Among them, the standard deviation of each evaluation index in the target judgment matrix can be calculated by the following formula:

[0122]

[0123] In the above formula, σ i is the standard deviation of the ith indicator; x i `j is the matrix element in the i-th row and j-th column of the judgment matrix after standardization; Represents the average value of the j-th column matrix elements in the standardized judgment matrix.

[0124] Among them, according to the standard deviation and correlation coefficient, the objective weight of each evaluation index in the substation scheme can be determined, which can be obtained through the following formula:

[0125]

[0126] In the above formula, C i is the information carrying capacity of the i-th indicator in the standardized judgment matrix; σ i is the standard deviation of the ith indicator; r ji is the correlation coefficient between the jth indicator and the ith indicator, which can be the Pearson correlation coefficient; w 2i is the weight coefficient of the ith indicator, that is, the objective weight.

[0127] In a specific embodiment, based on the target judgment matrix example table in Table 1 above, the target judgment matrix is ​​standardized, and the standard deviation and correlation coefficient of each evaluation indicator are calculated to obtain the objective weight of each indicator, and a target objective weight table is constructed according to the objective weight of each indicator, wherein the target objective weight table can be shown in Table 3.

[0128] Table 3 Example of target objective weight table

[0129] Evaluation indicators Objective weight Acquisition cost 0.09220 Operation and maintenance costs 0.12262 Maintenance cost 0.12316 Life cycle carbon cost 0.14636 System reliability 0.06399 Change O&M Difficulty 0.10885 Scalability 0.08793 Operational safety 0.06807 Environmental protection capabilities 0.09814 Related industry driving rate 0.08870

[0130] S105. Based on the combined weight method, the subjective weight and objective weight corresponding to each evaluation indicator in the target subjective weight table and the target objective weight table are combined to obtain a target comprehensive weighted weight table; the target comprehensive weighted weight table includes multiple evaluation indicators and multiple comprehensive weighted weights; the evaluation indicators and the comprehensive weighted weights correspond one to one.

[0131] Specifically, the subjective weight and objective weight corresponding to each evaluation indicator in the target subjective weight table and the target objective weight table can be combined based on the combined weight method, wherein the combined weight method can be the Lagrange multiplier method, based on the Lagrange multiplier method, the subjective weight and objective weight corresponding to each evaluation indicator in the target subjective weight table and the target objective weight table are combined to obtain the comprehensive weighting weight of the optimal combination, thereby achieving accuracy and reliability in weight allocation.

[0132] Optionally, before the above step S105, combining the subjective weight and objective weight corresponding to each evaluation indicator in the target subjective weight table and the target objective weight table based on the combined weight method to obtain the target comprehensive weighted weight table, the following steps may also be included:

[0133] A51, performing correlation analysis according to the target subjective weight table and the target objective weight table to obtain a target P value;

[0134] A52. When the target P value is not greater than a preset second threshold, determining that there is a significant correlation between the target subjective weight table and the target objective weight table;

[0135] A53. When the target P value is greater than the second threshold value, re-execute the step of constructing a target judgment matrix according to the target evaluation index set.

[0136] Specifically, a correlation analysis is performed based on the target subjective weight table and the target objective weight table to obtain a target P value, wherein the linear or rank correlation between the two sets of weights can be measured by statistical methods, such as the Pearson correlation coefficient or the Spearman rank correlation. After the analysis is completed, the target P value is calculated and the target P value can be used to determine whether there is a significant correlation between the target subjective weight table and the target objective weight table.

[0137] Furthermore, the target P value is compared with a preset second threshold value, which may be 0.05. If the target P value is not greater than this threshold value, it indicates that there is a significant correlation between the subjective weight and the objective weight, that is, the subjective weight and the objective weight are consistent in the importance of the evaluation index, and a weight combination analysis can be performed. Otherwise, if the target P value is greater than the second threshold value, it indicates that the correlation between the two sets of weights is not significant, and it is necessary to review the construction process of the evaluation index set and the judgment matrix to ensure the accuracy and reliability of the weight allocation.

[0138] Optionally, the above step S105, combining the subjective weight and objective weight corresponding to each evaluation indicator in the target subjective weight table and the target objective weight table based on the combined weight method to obtain the target comprehensive weight table, may also include the following steps:

[0139] B51, multiplying the weight corresponding to each evaluation indicator in the target subjective weight table and the target objective weight table and taking the square root to obtain a plurality of combined weights;

[0140] B52, normalizing each of the multiple combined weights to obtain multiple comprehensive weighting weights;

[0141] B53. Determine the target comprehensive weighting weight table based on the multiple comprehensive weighting weights.

[0142] Specifically, for each evaluation indicator, the subjective weight value in the subjective weight table is multiplied by the objective weight value in the objective weight table, and then the square root of the product is taken to obtain the combined weight of the indicator, and then multiple combined weights can be obtained. Next, each of the multiple combined weights is normalized to obtain multiple comprehensive weighting weights, and finally, based on the multiple comprehensive weighting weights obtained after normalization, a target comprehensive weighting weight table is constructed. The comprehensive weighting weights in the table can reflect the relative importance of each indicator in the decision-making process after considering subjective and objective factors.

[0143] Among them, the combined weight method can be expressed as the following formula:

[0144]

[0145] In the above formula, w 1i is the subjective weight of the ith indicator; w 2i is the objective weight of the ith indicator; w i is the comprehensive weight of the ith indicator.

[0146] In a specific embodiment, weights are combined based on the target subjective weight table example table in Table 2 and the target objective weight table example table in Table 3 to obtain a target comprehensive weight table, wherein the target comprehensive weight table can be as shown in Table 4.

[0147] Table 4 Example of target comprehensive weight table

[0148] Evaluation indicators Comprehensive empowerment weight Acquisition cost 0.08141 Operation and maintenance costs 0.06121 Maintenance cost 0.06113 Life cycle carbon cost 0.21334 System reliability 0.09836 Change O&M Difficulty 0.07137 Scalability 0.08088 Operational safety 0.08299 Environmental protection capabilities 0.15292 Related industry driving rate 0.09639

[0149] S106. Obtain multiple substation solutions.

[0150] Specifically, multiple substation schemes to be compared can be obtained, among which each substation scheme has undergone economic, technical and social evaluations to ensure that the substation schemes are comparable in terms of function, cost-effectiveness, environmental impact, operational safety and life expectancy. Through comprehensive evaluation of each substation scheme, it is possible to select which substation scheme is more meaningful for implementation.

[0151] S107. Determine an evaluation index value of each substation scheme in the multiple substation schemes based on the target evaluation index set to obtain multiple scheme index value groups; each scheme index value group includes multiple evaluation index values.

[0152] Specifically, the evaluation index value of each substation scheme among multiple substation schemes is determined based on the target evaluation index set. Specifically, each substation scheme can be analyzed in detail, including the economic indicators, technical indicators, and social indicators of the substation scheme, and the economic, technical and social data can be collected and organized, such as purchase cost, operation and maintenance cost, system reliability and environmental protection capability, to ensure that each indicator has a quantified index value.

[0153] Furthermore, the index values ​​of each substation scheme under all evaluation indicators are integrated to form a scheme index value group for subsequent comparison and analysis. Based on the specific index values ​​of each substation scheme, the evaluation of the substation scheme can be ensured to be more systematic and scientific, so as to select the substation scheme with the best comprehensive performance and ensure the successful implementation of the project and its long-term benefits.

[0154] S108. Determine an evaluation result of each substation scheme in the multiple substation schemes according to the target comprehensive weight table and the multiple scheme indicator value groups to obtain multiple evaluation results.

[0155] Specifically, the evaluation results of each substation scheme in the multiple substation schemes are determined according to the target comprehensive weighted weight table and the multiple scheme indicator value groups, and multiple evaluation results are obtained, wherein the evaluation results may be evaluation scores, evaluation coefficients, etc. Specifically, the indicator value of each scheme may be analyzed to ensure that each indicator value corresponds to its weight in the target comprehensive weighted weight table. Then, each indicator value of each scheme may be multiplied by its corresponding comprehensive weighted weight, so that the subjective and objective factors of the evaluation indicator are combined, and a weighted quantitative evaluation is provided for each indicator. Finally, the weighted indicator values ​​are summed in each scheme to obtain the overall evaluation score of the scheme.

[0156] Specifically, according to the target comprehensive weight table and multiple scheme indicator value groups, the evaluation score of each substation scheme in multiple substation schemes can be determined to obtain multiple evaluation scores, and then the highest evaluation score is selected from the multiple evaluation scores to obtain the highest evaluation score, and the substation scheme corresponding to the highest evaluation score is determined as the target optimal substation scheme.

[0157] The calculation formula of the evaluation score can be shown as follows:

[0158]

[0159] In the above formula, Y k is the evaluation score of the kth substation solution, where there can be n substation solutions; x ki is the index value of the i-th index of the k-th substation solution; w i is the comprehensive weight of the ith indicator.

[0160] S109: Select a maximum value from the multiple evaluation results, and determine the substation solution corresponding to the maximum value as the target optimal substation solution.

[0161] Specifically, the evaluation results of multiple substation schemes are ranked, and the highest score, that is, the maximum value, is selected from the ranked evaluation results. This maximum value indicates that under the current multi-dimensional evaluation system, the comprehensive performance of a certain substation scheme is the best, and the substation scheme corresponding to this maximum value is selected as the target optimal substation scheme.

[0162] Optionally, the following steps may also be included:

[0163] A901, obtain target environmental parameters of the demand substation;

[0164] A902, obtaining environmental parameters of each solution in a sample substation solution set to obtain multiple environmental parameters; the sample substation solution set includes multiple substation solutions;

[0165] A903, matching the target environmental parameter with each of the multiple environmental parameters to obtain multiple matching values;

[0166] A904. Select a matching value greater than a preset value from the multiple matching values ​​to obtain at least one matching value;

[0167] A905. Obtain a solution corresponding to the at least one matching value to obtain at least one substation solution;

[0168] A906. Obtain a historical evaluation result of each substation solution in the at least one substation solution to obtain at least one historical evaluation result;

[0169] A907, determining adjustment parameters of the target environmental parameters;

[0170] A908. Determine a difference between each matching value in the at least one matching value and the preset value to obtain at least one difference value;

[0171] A909. Determine a feedback adjustment parameter corresponding to the at least one difference, and obtain at least one feedback adjustment parameter;

[0172] A910. Adjust a corresponding historical evaluation result in the at least one historical evaluation result according to the at least one feedback adjustment parameter and the adjustment parameter to obtain at least one target historical evaluation result;

[0173] A911. Select a maximum value from the at least one target historical evaluation result, and use the substation solution corresponding to the maximum value as the sample substation solution.

[0174] Specifically, the target environmental parameters of the demand substation are obtained, wherein the environmental parameters may include key factors such as climate conditions, geographical features, and ecosystems, and the environment corresponding to the target environmental parameters is the ideal environment of the substation. The environmental parameters of each substation solution are extracted from the sample substation solution set to obtain multiple environmental parameters, and the target environmental parameters are matched with each of the multiple environmental parameters to obtain multiple matching values, which reflect the adaptability of different solutions to the target environment.

[0175] Further, a matching value greater than a preset value is selected from the multiple matching values ​​to obtain at least one matching value, and a solution corresponding to the at least one matching value is obtained to obtain at least one substation solution, and the environmental parameters of these substation solutions under the current environment are close to the target environmental parameters. Then, a historical evaluation result of each substation solution in the at least one substation solution is obtained to obtain at least one historical evaluation result, and these historical evaluation results can further provide a performance reference for the substation under the environmental parameters.

[0176] Furthermore, an adjustment parameter corresponding to the target environmental parameter is determined, and this adjustment parameter is used to adjust the historical evaluation results. At the same time, the difference between each matching value and a preset value in at least one matching value is determined to obtain at least one difference, and a feedback adjustment parameter corresponding to the at least one difference is determined to obtain at least one feedback adjustment parameter. These feedback adjustment parameters can further adjust the historical evaluation results so that the substation solution corresponding to the historical evaluation results can better reflect the performance in the current environment.

[0177] Next, the corresponding historical evaluation result in at least one historical evaluation result is adjusted according to at least one feedback adjustment parameter and adjustment parameter to obtain at least one target historical evaluation result, and the maximum value is selected from at least one target historical evaluation result, and the substation solution corresponding to the maximum value is used as the sample substation solution. The sample substation solution is selected by evaluating the environmental adaptability, historical performance and adjusted evaluation, so that the sample substation solution has the best expected performance and effect in the target environment.

[0178] It should be noted that the sample substation scheme is used as a reference substation scheme. By analyzing the subjective weights and objective weights of the sample substation scheme, more representative and accurate comprehensive empowerment weights are obtained. These comprehensive empowerment weights can reflect the comprehensive performance of the substation scheme in multiple dimensions such as economy, technology and society. Based on these comprehensive empowerment weights, multiple substation schemes are evaluated to determine the relative advantages and disadvantages of different schemes under specific environments and needs, and select the optimal substation scheme.

[0179] In summary, by implementing the embodiments of the present application, multiple key evaluation indicators of the substation solution are determined, and the subjective weight and objective weight of each evaluation indicator are obtained based on the multiple key evaluation indicators. The comprehensive weighting weight of each evaluation indicator can be obtained by combining the subjective weight and the objective weight through the weight combination method. The evaluation indicator value corresponding to the key evaluation indicator of each substation solution is obtained, and each substation solution is evaluated based on the comprehensive weighting weight, and finally the solution with the highest evaluation result is selected as the optimal substation solution. By adopting the embodiments of the present application, the multi-dimensional influencing factors of the substation project implementation plan are comprehensively evaluated, and the substation project implementation plan with high cost-effectiveness is selected. The multi-dimensional influencing factors of the substation project implementation plan are comprehensively evaluated, and the substation project implementation plan with high cost-effectiveness is selected.

[0180] See also Figure 2 , Figure 2 1 is a schematic diagram of a substation scheme comparison device considering the whole life cycle provided by an embodiment of the present application. The substation scheme comparison device considering the whole life cycle 200 includes: a data determination unit 201, a matrix construction unit 202, a data analysis unit 203, a weight combination unit 204, a data acquisition unit 205, and a data comparison unit 206, wherein:

[0181] The data determination unit 201 is used to determine the target evaluation index set corresponding to the sample substation solution; the target evaluation index set includes purchase cost, operation and maintenance cost, repair cost, life cycle carbon cost, system reliability, operation and maintenance difficulty, scalability, operation safety, environmental protection capability and related industry pull rate;

[0182] The matrix construction unit 202 is used to construct a target judgment matrix according to the target evaluation index set;

[0183] The data analysis unit 203 is used to perform subjective weight analysis on the target judgment matrix to obtain a target subjective weight table; the target subjective weight table includes multiple evaluation indicators and multiple subjective weights; the evaluation indicators and subjective weights correspond one to one;

[0184] The data analysis unit 203 is further used to perform objective weight analysis on the target judgment matrix to obtain a target objective weight table; the target objective weight table includes multiple evaluation indicators and multiple objective weights; the evaluation indicators and objective weights correspond to each other one by one;

[0185] The weight combination unit 204 is used to combine the subjective weight and the objective weight corresponding to each evaluation indicator in the target subjective weight table and the target objective weight table based on the combined weight method to obtain a target comprehensive weighted weight table; the target comprehensive weighted weight table includes multiple evaluation indicators and multiple comprehensive weighted weights; the evaluation indicators and the comprehensive weighted weights correspond to each other one by one;

[0186] The data acquisition unit 205 is used to acquire multiple substation solutions;

[0187] The data determination unit 201 is further used to determine the evaluation index value of each substation scheme in the multiple substation schemes based on the target evaluation index set to obtain multiple scheme index value groups; each scheme index value group includes multiple evaluation index values;

[0188] The data determination unit 201 is further used to determine the evaluation result of each substation scheme in the multiple substation schemes according to the target comprehensive weighting weight table and the multiple scheme indicator value groups to obtain multiple evaluation results;

[0189] The data comparison and selection unit 206 is used to select a maximum value from the multiple evaluation results, and determine the substation solution corresponding to the maximum value as the target optimal substation solution.

[0190] Optionally, in determining the target evaluation indicator set corresponding to the sample substation solution, the data determination unit 201 is further used to:

[0191] Obtaining a reference evaluation index set corresponding to the sample substation solution;

[0192] Determine the key dimensions of the sample substation solution in the whole life cycle, and obtain multiple key dimensions;

[0193] Selecting evaluation indicators corresponding to the multiple key dimensions from the reference evaluation indicator set to obtain multiple evaluation indicators;

[0194] The target evaluation index set corresponding to the sample substation solution is determined according to the multiple evaluation indexes.

[0195] Optionally, in the aspect of constructing a target judgment matrix according to the target evaluation index set, the matrix construction unit 202 is further used for:

[0196] Determine the index value of each evaluation index in the target evaluation index set according to the sample substation plan to obtain multiple index values;

[0197] Based on the multiple indicator values, a preset scaling method is used to scale the importance between any two evaluation indicators in the target evaluation indicator set to obtain multiple scaling values;

[0198] The target judgment matrix is ​​constructed based on the multiple scale values.

[0199] Optionally, after performing subjective weight analysis on the target judgment matrix to obtain a target subjective weight table, the data analysis unit 203 is further used to:

[0200] The target maximum eigenvalue of the target judgment matrix is ​​determined based on a first preset formula and the target subjective weight table; the first preset formula is as follows:

[0201]

[0202] Among them, λ max is the maximum eigenvalue of the target; D is the target judgment matrix; W is the target subjective weight table; w 1i is the i-th weight corresponding to the target subjective weight table; DW is the weighted target judgment matrix obtained by multiplying the target judgment matrix by the target subjective weight table; (DW) ij is the matrix element in the i-th row and j-th column of the weighted target judgment matrix;

[0203] Determining a target matrix order of the target judgment matrix;

[0204] Determining a target consistency index according to the target maximum eigenvalue and the target matrix order;

[0205] Determine the target random consistency index value corresponding to the target matrix order according to a preset average random consistency index value table;

[0206] Determining a target consistency ratio based on the target consistency index and the target random consistency index value;

[0207] When the target consistency ratio is less than a preset first threshold, it is determined that the target judgment matrix passes the consistency check;

[0208] When the target consistency ratio is not less than the first threshold, the step of constructing a target judgment matrix according to the target evaluation index set is re-executed.

[0209] Optionally, before combining the weights corresponding to each evaluation indicator in the target subjective weight table and the target objective weight table based on the combined weight method to obtain the target comprehensive weighted weight table, the data analysis unit 203 is further used to:

[0210] Perform correlation analysis based on the target subjective weight table and the target objective weight table to obtain a target P value;

[0211] When the target P value is not greater than a preset second threshold, it is determined that there is a significant correlation between the target subjective weight table and the target objective weight table;

[0212] When the target P value is greater than the second threshold, the step of constructing a target judgment matrix according to the target evaluation index set is re-executed.

[0213] Optionally, in the aspect of combining the subjective weight and the objective weight corresponding to each evaluation indicator in the target subjective weight table and the target objective weight table based on the combined weight method to obtain the target comprehensive weighted weight table, the weight combination unit 204 is further used to:

[0214] Multiply the weight corresponding to each evaluation indicator in the target subjective weight table and the target objective weight table and take the square root to obtain multiple combined weights;

[0215] Normalizing each of the multiple combined weights to obtain multiple comprehensive weighting weights;

[0216] The target comprehensive weighting weight table is determined according to the multiple comprehensive weighting weights.

[0217] Optionally, the data determination unit 201 is further configured to:

[0218] Obtain target environmental parameters of the demand substation;

[0219] Obtaining environmental parameters of each scheme in a sample substation scheme set to obtain multiple environmental parameters; the sample substation scheme set includes multiple substation schemes;

[0220] Matching the target environmental parameter with each of the multiple environmental parameters to obtain multiple matching values;

[0221] Selecting a matching value greater than a preset value from the multiple matching values ​​to obtain at least one matching value;

[0222] Obtaining a solution corresponding to the at least one matching value to obtain at least one substation solution;

[0223] Obtaining a historical evaluation result of each substation solution in the at least one substation solution to obtain at least one historical evaluation result;

[0224] Determining adjustment parameters of the target environmental parameters;

[0225] Determine a difference between each matching value in the at least one matching value and the preset value to obtain at least one difference value;

[0226] Determining a feedback adjustment parameter corresponding to the at least one difference to obtain at least one feedback adjustment parameter;

[0227] According to the at least one feedback adjustment parameter and the adjustment parameter, a corresponding historical evaluation result in the at least one historical evaluation result is adjusted to obtain at least one target historical evaluation result;

[0228] A maximum value is selected from the at least one target historical evaluation result, and a substation solution corresponding to the maximum value is used as the sample substation solution.

[0229] The substation scheme comparison device 200 considering the whole life cycle described in the present application can determine multiple key evaluation indicators of the substation scheme, and obtain the subjective weight and objective weight of each evaluation indicator according to the multiple key evaluation indicators. The comprehensive weighting weight of each evaluation indicator can be obtained by combining the subjective weight and the objective weight through the weight combination method. The evaluation indicator value corresponding to the key evaluation indicator of each substation scheme is obtained, and each substation scheme is evaluated based on the comprehensive weighting weight, and finally the scheme with the highest evaluation result is selected as the optimal substation scheme. By adopting the embodiment of the present application, the multi-dimensional influencing factors of the substation project implementation plan are comprehensively evaluated, and the substation project implementation plan with high cost-effectiveness is selected. The multi-dimensional influencing factors of the substation project implementation plan are comprehensively evaluated, and the substation project implementation plan with high cost-effectiveness is selected.

[0230] See also Figure 3 , Figure 3 : is a structural diagram of an electronic device provided in an embodiment of the present application, the electronic device may include a processor, a memory, a communication interface and one or more programs, the processor, the memory and the communication interface may be interconnected through a bus; the one or more programs are stored in the memory and configured to be executed by the processor; in the embodiment of the present application, the program includes instructions for executing the following steps:

[0231] Determine the target evaluation indicator set corresponding to the sample substation solution; the target evaluation indicator set includes purchase cost, operation and maintenance cost, repair cost, life cycle carbon cost, system reliability, operation and maintenance difficulty, scalability, operation safety, environmental protection capability and related industry pull rate;

[0232] Constructing a target judgment matrix according to the target evaluation index set;

[0233] Performing subjective weight analysis on the target judgment matrix to obtain a target subjective weight table; the target subjective weight table includes multiple evaluation indicators and multiple subjective weights; the evaluation indicators and the subjective weights correspond one to one;

[0234] Performing objective weight analysis on the target judgment matrix to obtain a target objective weight table; the target objective weight table includes multiple evaluation indicators and multiple objective weights; the evaluation indicators and the objective weights correspond one to one;

[0235] Based on the combined weight method, the subjective weight and the objective weight corresponding to each evaluation indicator in the target subjective weight table and the target objective weight table are combined to obtain a target comprehensive weighted weight table; the target comprehensive weighted weight table includes multiple evaluation indicators and multiple comprehensive weighted weights; the evaluation indicators and the comprehensive weighted weights correspond to each other one by one;

[0236] Obtain multiple substation solutions;

[0237] Determine the evaluation index value of each substation scheme in the multiple substation schemes based on the target evaluation index set, and obtain multiple scheme index value groups; each scheme index value group includes multiple evaluation index values;

[0238] Determine an evaluation result of each substation scheme in the multiple substation schemes according to the target comprehensive weighting weight table and the multiple scheme indicator value groups to obtain multiple evaluation results;

[0239] A maximum value is selected from the multiple evaluation results, and a substation solution corresponding to the maximum value is determined as a target optimal substation solution.

[0240] The electronic device described in this application can determine multiple key evaluation indicators of the substation solution, and obtain the subjective weight and objective weight of each evaluation indicator based on the multiple key evaluation indicators. The comprehensive weighting weight of each evaluation indicator can be obtained by combining the subjective weight and the objective weight through the weight combination method. The evaluation indicator value corresponding to the key evaluation indicator of each substation solution is obtained, and each substation solution is evaluated based on the comprehensive weighting weight, and finally the solution with the highest evaluation result is selected as the optimal substation solution. The embodiment of this application is used to comprehensively evaluate the multi-dimensional influencing factors of the substation project implementation plan, and select the substation project implementation plan with high cost-effectiveness. It is realized to comprehensively evaluate the multi-dimensional influencing factors of the substation project implementation plan, and select the substation project implementation plan with high cost-effectiveness.

[0241] An embodiment of the present application also provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program for electronic data exchange, wherein the computer program enables a computer to execute part or all of the steps of any method described in the above method embodiments, and the above computer includes an electronic device.

[0242] The embodiment of the present application also provides a computer program product, the computer program product includes a non-transitory computer-readable storage medium storing a computer program, the computer program is operable to cause a computer to execute some or all of the steps of any method described in the method embodiment. The computer program product may be a software installation package, and the computer includes an electronic device.

[0243] Those skilled in the art can understand that to implement all or part of the processes in the above-mentioned embodiments, the processes can be completed by computer programs to instruct related hardware, and the programs can be stored in computer-readable storage media. When the programs are executed, they can include the processes of the above-mentioned method embodiments. The aforementioned storage media include: ROM or random access memory RAM, magnetic disk or optical disk and other media that can store program codes.

[0244] The steps of the method or algorithm described in the embodiments of the present application can be implemented in hardware or by executing software instructions by a processor. The software instructions can be composed of corresponding software modules, and the software modules can be stored in RAM, flash memory, ROM, EPROM, electrically erasable programmable read-only memory (electrically EPROM, EEPROM), registers, hard disks, mobile hard disks, read-only compact disks (CD-ROMs) or any other form of storage medium known in the art. An exemplary storage medium is coupled to the processor so that the processor can read information from the storage medium and write information to the storage medium. Of course, the storage medium can also be a component of the processor. The processor and the storage medium can be located in an ASIC. In addition, the ASIC can be located in a terminal device or a management device. Of course, the processor and the storage medium can also be present in a terminal device or a management device as discrete components.

[0245] Those skilled in the art should be aware that in one or more of the above examples, the functions described in the embodiments of the present application can be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented using software, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the process or function described in the embodiments of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from a website site, computer, server, or data center to another website site, computer, server, or data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (digital subscriber line, DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) mode. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that includes one or more available media integrations. The available medium may be a magnetic medium (eg, a floppy disk, a hard disk, a magnetic tape), an optical medium (eg, a digital video disc (DVD)), or a semiconductor medium (eg, a solid state disk (SSD)).

[0246] The modules / units included in the devices and products described in the above embodiments may be software modules / units or hardware modules / units, or may be partially software modules / units and partially hardware modules / units. For example, for the devices and products applied to or integrated in the chip, the modules / units included therein may all be implemented in the form of hardware such as circuits, or at least some of the modules / units may be implemented in the form of software programs, which run on the processor integrated inside the chip, and the remaining (if any) modules / units may be implemented in the form of hardware such as circuits; for the devices and products applied to or integrated in the chip module, the modules / units included therein may all be implemented in the form of hardware such as circuits, and different modules / units may be located in the same component (such as a chip, circuit module, etc.) or in different components of the chip module, or at least some of the modules / units may be implemented in the form of software programs. The software programs run on the processor integrated inside the chip, and the remaining (if any) modules / units may be implemented in the form of hardware such as circuits. It is implemented in the form of a software program, which runs on a processor integrated inside the chip module, and the remaining (if any) modules / units can be implemented in hardware such as circuits; for various devices and products applied to or integrated in the terminal equipment, the various modules / units contained therein can be implemented in hardware such as circuits, and different modules / units can be located in the same component (for example, chip, circuit module, etc.) or in different components in the terminal equipment, or, at least some modules / units can be implemented in the form of a software program, which runs on a processor integrated inside the terminal equipment, and the remaining (if any) modules / units can be implemented in hardware such as circuits.

[0247] The specific implementation methods described above further illustrate the purpose, technical solutions and beneficial effects of the embodiments of the present application. It should be understood that the above description is only the specific implementation method of the embodiments of the present application and is not intended to limit the protection scope of the embodiments of the present application. Any modifications, equivalent substitutions, improvements, etc. made on the basis of the technical solutions of the embodiments of the present application should be included in the protection scope of the embodiments of the present application.

Claims

1. A method for comparing and selecting substation solutions considering the entire life cycle, characterized in that: The method comprises: Determine the target evaluation indicator set corresponding to the sample substation solution; the target evaluation indicator set includes purchase cost, operation and maintenance cost, repair cost, life cycle carbon cost, system reliability, operation and maintenance difficulty, scalability, operation safety, environmental protection capability and related industry pull rate; Constructing a target judgment matrix according to the target evaluation index set; Performing subjective weight analysis on the target judgment matrix to obtain a target subjective weight table; the target subjective weight table includes multiple evaluation indicators and multiple subjective weights; the evaluation indicators and the subjective weights correspond one to one; Performing objective weight analysis on the target judgment matrix to obtain a target objective weight table; the target objective weight table includes multiple evaluation indicators and multiple objective weights; the evaluation indicators and the objective weights correspond one to one; Based on the combined weight method, the subjective weight and the objective weight corresponding to each evaluation indicator in the target subjective weight table and the target objective weight table are combined to obtain a target comprehensive weighted weight table; the target comprehensive weighted weight table includes multiple evaluation indicators and multiple comprehensive weighted weights; the evaluation indicators and the comprehensive weighted weights correspond to each other one by one; Obtain multiple substation solutions; Determine the evaluation index value of each substation scheme in the multiple substation schemes based on the target evaluation index set, and obtain multiple scheme index value groups; each scheme index value group includes multiple evaluation index values; Determine an evaluation result of each substation scheme in the multiple substation schemes according to the target comprehensive weighting weight table and the multiple scheme indicator value groups to obtain multiple evaluation results; A maximum value is selected from the multiple evaluation results, and a substation solution corresponding to the maximum value is determined as a target optimal substation solution.

2. The method according to claim 1, characterized in that The target evaluation index set corresponding to the sample substation solution is determined, including: Obtaining a reference evaluation index set corresponding to the sample substation solution; Determine the key dimensions of the sample substation solution in the whole life cycle, and obtain multiple key dimensions; Selecting evaluation indicators corresponding to the multiple key dimensions from the reference evaluation indicator set to obtain multiple evaluation indicators; The target evaluation index set corresponding to the sample substation solution is determined according to the multiple evaluation indexes.

3. The method according to claim 2, characterized in that The step of constructing a target judgment matrix according to the target evaluation index set includes: Determine the index value of each evaluation index in the target evaluation index set according to the sample substation plan to obtain multiple index values; Based on the multiple indicator values, a preset scaling method is used to scale the importance between any two evaluation indicators in the target evaluation indicator set to obtain multiple scaling values; The target judgment matrix is ​​constructed based on the multiple scale values.

4. The method according to any one of claims 1 to 3, characterized in that: After performing subjective weight analysis on the target judgment matrix to obtain a target subjective weight table, the method further includes: The target maximum eigenvalue of the target judgment matrix is ​​determined based on a first preset formula and the target subjective weight table; the first preset formula is as follows: Among them, λ max is the maximum eigenvalue of the target; D is the target judgment matrix; W is the target subjective weight table; w 1i is the i-th weight corresponding to the target subjective weight table; DW is the weighted target judgment matrix obtained by multiplying the target judgment matrix by the target subjective weight table; (DW) ij is the matrix element in the i-th row and j-th column of the weighted target judgment matrix; Determining a target matrix order of the target judgment matrix; Determining a target consistency index according to the target maximum eigenvalue and the target matrix order; Determine the target random consistency index value corresponding to the target matrix order according to a preset average random consistency index value table; Determining a target consistency ratio based on the target consistency index and the target random consistency index value; When the target consistency ratio is less than a preset first threshold, it is determined that the target judgment matrix passes the consistency check; When the target consistency ratio is not less than the first threshold, the step of constructing a target judgment matrix according to the target evaluation index set is re-executed.

5. The method according to claim 4, characterized in that Before combining the weights corresponding to each evaluation indicator in the target subjective weight table and the target objective weight table based on the combined weight method to obtain the target comprehensive weight table, the method further includes: Perform correlation analysis based on the target subjective weight table and the target objective weight table to obtain a target P value; When the target P value is not greater than a preset second threshold, it is determined that there is a significant correlation between the target subjective weight table and the target objective weight table; When the target P value is greater than the second threshold, the step of constructing a target judgment matrix according to the target evaluation index set is re-executed.

6. The method according to claim 1, characterized in that The combined weight method is based on combining the subjective weight and objective weight corresponding to each evaluation indicator in the target subjective weight table and the target objective weight table to obtain a target comprehensive weight table, including: Multiply the weights corresponding to each evaluation indicator in the target subjective weight table and the target objective weight table and take the square root to obtain multiple combined weights; Normalizing each of the multiple combined weights to obtain multiple comprehensive weighting weights; The target comprehensive weighting weight table is determined according to the multiple comprehensive weighting weights.

7. The method according to claim 1, characterized in that The method further comprises: Obtain target environmental parameters of the demand substation; Obtaining environmental parameters of each scheme in a sample substation scheme set to obtain multiple environmental parameters; the sample substation scheme set includes multiple substation schemes; Matching the target environmental parameter with each of the multiple environmental parameters to obtain multiple matching values; Selecting a matching value greater than a preset value from the multiple matching values ​​to obtain at least one matching value; Obtaining a solution corresponding to the at least one matching value to obtain at least one substation solution; Obtaining a historical evaluation result of each substation solution in the at least one substation solution to obtain at least one historical evaluation result; Determining adjustment parameters of the target environmental parameters; Determine a difference between each matching value in the at least one matching value and the preset value to obtain at least one difference value; Determining a feedback adjustment parameter corresponding to the at least one difference to obtain at least one feedback adjustment parameter; According to the at least one feedback adjustment parameter and the adjustment parameter, a corresponding historical evaluation result in the at least one historical evaluation result is adjusted to obtain at least one target historical evaluation result; A maximum value is selected from the at least one target historical evaluation result, and a substation solution corresponding to the maximum value is used as the sample substation solution.

8. A substation scheme comparison and selection device considering the whole life cycle, characterized in that: The substation scheme comparison and selection device considering the whole life cycle includes: a data determination unit, a matrix construction unit, a data analysis unit, a weight combination unit, a data acquisition unit, and a data comparison and selection unit, wherein: The data determination unit is used to determine the target evaluation index set corresponding to the sample substation solution; the target evaluation index set includes purchase cost, operation and maintenance cost, repair cost, life cycle carbon cost, system reliability, operation and maintenance difficulty, scalability, operation safety, environmental protection capability and related industry pull rate; The matrix construction unit is used to construct a target judgment matrix according to the target evaluation index set; The data analysis unit is used to perform subjective weight analysis on the target judgment matrix to obtain a target subjective weight table; the target subjective weight table includes multiple evaluation indicators and multiple subjective weights; the evaluation indicators and subjective weights correspond one to one; The data analysis unit is further used to perform objective weight analysis on the target judgment matrix to obtain a target objective weight table; the target objective weight table includes multiple evaluation indicators and multiple objective weights; the evaluation indicators and the objective weights correspond one to one; The weight combination unit is used to combine the subjective weight and the objective weight corresponding to each evaluation indicator in the target subjective weight table and the target objective weight table based on the combined weight method to obtain a target comprehensive weighted weight table; the target comprehensive weighted weight table includes multiple evaluation indicators and multiple comprehensive weighted weights; the evaluation indicators and the comprehensive weighted weights correspond to each other one by one; The data acquisition unit is used to acquire multiple substation solutions; The data determination unit is further used to determine the evaluation index value of each substation scheme in the multiple substation schemes based on the target evaluation index set to obtain multiple scheme index value groups; each scheme index value group includes multiple evaluation index values; The data determination unit is further used to determine the evaluation result of each substation scheme in the multiple substation schemes according to the target comprehensive weighting weight table and the multiple scheme indicator value groups to obtain multiple evaluation results; The data comparison and selection unit is used to select a maximum value from the multiple evaluation results, and determine the substation solution corresponding to the maximum value as the target optimal substation solution.

9. An electronic device, characterized in that: include: A processor, a memory, a communication interface, and one or more programs; The one or more programs are stored in the memory and configured to be executed by the processor, the programs comprising instructions for executing the steps in the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, wherein the computer program includes program instructions, and when the program instructions are executed by a processor, the processor is caused to perform the method according to any one of claims 1 to 7.

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