Pumped storage unit hardware alternative scheme evaluation method, device, equipment and medium

Abstract

The invention relates to the technical field of hydropower station pumped storage equipment, in particular to a pumped storage unit hardware alternative scheme evaluation method, device and equipment and a medium, and the method comprises the steps: decomposing target hardware in a pumped storage unit into a plurality of hardware layers; extracting performance index parameters of each hardware layer in the plurality of hardware layers, and generating an index system of the target hardware according to the performance index parameters of each hardware layer; the alternative scheme and the index system of the target hardware are input into the alternative scheme evaluation model, the alternative scheme evaluation model outputs a final evaluation result of the alternative scheme, the feasibility of the alternative scheme is determined according to the final evaluation result, the alternative scheme evaluation model evaluates the alternative scheme layer by layer based on the index system, and the feasibility of the alternative scheme is determined. And weighting and determining a final evaluation result of the alternative scheme according to the evaluation result of each hardware layer. Therefore, the problem that the evaluation result is unreliable due to dependence on expert experience and human subjective judgment in the prior art is solved.

Description

Technical Field

[0001] The present application relates to the technical field of pumped-storage equipment in hydropower stations, and in particular to a method, device, equipment and medium for evaluating hardware replacement solutions for pumped-storage units. Background Art

[0002] When a pumped storage power station is operating in electric pumping mode, how to start the energy storage unit so that the starting current of the unit is not too large and does not cause excessive disturbance to the power grid is a key technical issue in the operation control of the energy storage unit. In a pumped storage power station, the SFC static frequency conversion and excitation system, as an indispensable component, play a vital role, and the quality of the two directly affects the stability and safety of the entire unit.

[0003] Although domestic brands of SFC and excitation systems have been widely promoted and applied, the localization process of SFC and excitation system equipment is affected by the development level of domestic chips and the level of equipment technology research and development. On the other hand, it is also necessary to scientifically evaluate the localization alternatives and the level of localization to support the comprehensive localization development of equipment. In the relevant technologies, the evaluation results are unreliable mainly due to the reliance on expert experience and subjective judgment. Summary of the invention

[0004] The present application provides a method, device, equipment, medium and program for evaluating hardware alternatives for a pumped storage unit to solve problems such as unreliable evaluation results caused by reliance on expert experience and human subjective judgment.

[0005] A first aspect of the present application provides a method for evaluating hardware alternatives for a pumped-storage unit, comprising the following steps: decomposing target hardware in the pumped-storage unit into multiple hardware layers; extracting performance indicator parameters of each hardware layer in the multiple hardware layers, and generating an indicator system for the target hardware according to the performance indicator parameters of each hardware layer; inputting the alternatives of the target hardware and the indicator system into an alternative evaluation model, the alternative evaluation model outputting a final evaluation result of the alternative, and determining the feasibility of the alternative according to the final evaluation result, wherein the alternative evaluation model evaluates the alternative layer by layer based on the indicator system, and determines the final evaluation result of the alternative according to the weighted evaluation result of each hardware layer.

[0006] Optionally, the multiple hardware layers include board level, unit level and component level, and decomposing the target hardware in the pumped-storage unit into multiple hardware layers includes: obtaining the structural principles, control requirements, operating conditions and functions of the target hardware in the pumped-storage unit; decomposing the target hardware into board level, unit level and component level based on the structural principles, control requirements, operating conditions and functions.

[0007] Optionally, the alternative scheme evaluation model includes an upper layer and a lower layer, wherein the processing process of the lower layer: using a fuzzy evaluation method to evaluate the performance indicator parameters of each hardware layer in the alternative scheme of the target hardware according to the indicator system to generate an evaluation result for each hardware layer; determining the relative importance of the target hardware layer relative to the layer above the target hardware layer according to the evaluation result, and evaluating and generating a fuzzy judgment matrix based on the relative importance, and obtaining the corresponding weight of each hardware layer according to the fuzzy judgment matrix; the processing process of the upper layer: using a weight adjustment strategy to redistribute the weight of each hardware layer; and calculating the final evaluation result of the alternative scheme by weighting layer by layer according to the evaluation result of each hardware layer and the corresponding weight.

[0008] Optionally, before using the fuzzy evaluation method to evaluate the performance indicator parameters of each hardware layer in the alternative solutions of the target hardware to generate the evaluation results of each hardware layer, it includes: using the fuzzy hierarchical analysis method to grade each hardware layer in the alternative solutions of the target hardware to generate a solution layer, a third-level indicator layer, a second-level indicator layer and a first-level indicator layer.

[0009] Optionally, a fuzzy evaluation method is used to evaluate the performance indicator parameters of each hardware layer in the alternative solutions of the target hardware to generate an evaluation result for each hardware layer, including: using the fuzzy evaluation method to evaluate the solution layer, third-level indicator layer, second-level indicator layer and first-level indicator layer of each hardware layer in the alternative solutions of the target hardware layer by layer to generate corresponding evaluation results; and weighting the evaluation results layer by layer to generate an evaluation result for each hardware layer.

[0010] Optionally, before obtaining the corresponding weight of each hardware layer according to the fuzzy judgment matrix, it includes: performing a consistency check on the fuzzy judgment matrix to generate a check result; if the check result is less than a target threshold, the fuzzy judgment matrix satisfies consistency.

[0011] Optionally, the target hardware includes a static frequency converter and an excitation system controller.

[0012] A second aspect of the present application provides a device for evaluating hardware alternatives for a pumped-storage unit, comprising: a decomposition module for decomposing target hardware in the pumped-storage unit into multiple hardware layers; an extraction module for extracting performance indicator parameters of each hardware layer in the multiple hardware layers, and generating an indicator system for the target hardware according to the performance indicator parameters of each hardware layer; a processing module for inputting the alternatives of the target hardware and the indicator system into an alternative evaluation model, the alternative evaluation model outputting a final evaluation result of the alternative, and determining the feasibility of the alternative according to the final evaluation result, wherein the alternative evaluation model evaluates the alternative layer by layer based on the indicator system, and determines the final evaluation result of the alternative according to the weighted evaluation result of each hardware layer.

[0013] Optionally, the multiple hardware layers include board level, unit level and component level, wherein the decomposition module is further used to: obtain the structural principles, control requirements, operating conditions and functions of the target hardware in the pumped-storage unit; and decompose the target hardware into board level, unit level and component level based on the structural principles, control requirements, operating conditions and functions.

[0014] Optionally, the alternative scheme evaluation model includes an upper layer and a lower layer, wherein the processing process of the lower layer: using a fuzzy evaluation method to evaluate the performance indicator parameters of each hardware layer in the alternative scheme of the target hardware according to the indicator system to generate an evaluation result for each hardware layer; determining the relative importance of the target hardware layer relative to the layer above the target hardware layer according to the evaluation result, and evaluating and generating a fuzzy judgment matrix based on the relative importance, and obtaining the corresponding weight of each hardware layer according to the fuzzy judgment matrix; the processing process of the upper layer: using a weight adjustment strategy to redistribute the weight of each hardware layer; and calculating the final evaluation result of the alternative scheme by weighting layer by layer according to the evaluation result of each hardware layer and the corresponding weight.

[0015] Optionally, it also includes: a grading module, which is used to use a fuzzy hierarchical analysis method to grade each hardware layer in the alternative solutions of the target hardware into a solution layer, a third-level indicator layer, a second-level indicator layer and a first-level indicator layer before using a fuzzy evaluation method to evaluate the performance indicator parameters of each hardware layer in the alternative solutions of the target hardware and generate an evaluation result for each hardware layer.

[0016] Optionally, it also includes: an evaluation module, which is used to use a fuzzy evaluation method to evaluate the solution layer, third-level indicator layer, second-level indicator layer and first-level indicator layer of each hardware layer in the alternative solutions of the target hardware layer by layer to generate corresponding evaluation results; and weight the evaluation results layer by layer to generate evaluation results for each hardware layer.

[0017] Optionally, it also includes: a verification module, which is used to perform a consistency check on the fuzzy judgment matrix and generate a verification result before obtaining the corresponding weight of each hardware layer according to the fuzzy judgment matrix; if the verification result is less than a target threshold, the fuzzy judgment matrix satisfies consistency.

[0018] Optionally, the target hardware includes a static frequency converter and an excitation system controller.

[0019] The third aspect of the present application provides an electronic device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to perform the method for evaluating hardware alternatives for a pumped-storage unit as described in the above embodiment.

[0020] A fourth aspect of the present application provides a computer-readable storage medium having a computer program stored thereon, the program being executed by a processor to perform the method for evaluating hardware alternatives for a pumped-storage unit as described in the above embodiment.

[0021] The fifth aspect of the present application provides a computer program product, including a computer program or instructions, characterized in that when the computer program or instructions are executed, the method for evaluating hardware replacement solutions for pumped-storage units as described in the above embodiments is implemented.

[0022] Therefore, this application has at least the following beneficial effects:

[0023] The embodiment of the present application can decompose the target hardware in the pumped-storage unit into multiple hardware layers; extract the performance indicator parameters of each hardware layer in the multiple hardware layers, and generate the indicator system of the target hardware according to the performance indicator parameters of each hardware layer; input the alternative schemes and the indicator system of the target hardware into the alternative scheme evaluation model, and the alternative scheme evaluation model outputs the final evaluation results of the alternative schemes, and determines the feasibility of the alternative schemes according to the final evaluation results. The final evaluation results of the alternative schemes are generated by the alternative scheme evaluation model, which can not only improve the accuracy and reliability of the evaluation, but also improve the efficiency of the evaluation, and can provide a theoretical basis and method support for the localization evaluation of similar systems.

[0024] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0026] Figure 1A flowchart of a method for evaluating a hardware replacement solution for a pumped storage unit provided according to an embodiment of the present application;

[0027] Figure 2 A flowchart of a method for evaluating hardware replacement solutions for a pumped storage unit according to an embodiment of the present application;

[0028] Figure 3 A schematic diagram of an alternative scheme evaluation model provided according to an embodiment of the present application;

[0029] Figure 4 This is an example diagram of a system flow provided according to an embodiment of the present application;

[0030] Figure 5 A block diagram of a pumped storage unit hardware replacement solution evaluation device provided according to an embodiment of the present application;

[0031] Figure 6 It is a schematic diagram of the structure of an electronic device provided according to an embodiment of the present application. DETAILED DESCRIPTION

[0032] Embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, and should not be construed as limiting the present application.

[0033] The following describes the pumped storage unit hardware replacement solution evaluation method, device, electronic device, storage medium and program in the embodiments of the present application with reference to the accompanying drawings.

[0034] Specifically, Figure 1 A flow chart of a method for evaluating hardware replacement solutions for a pumped-storage unit provided in an embodiment of the present application.

[0035] like Figure 1 As shown, the pumped storage unit hardware replacement scheme evaluation method includes the following steps:

[0036] In step S101, the target hardware in the pumped storage unit is decomposed into multiple hardware layers.

[0037] The multiple hardware layers include board level, unit level and component level; the target hardware includes a static frequency converter and an excitation system controller.

[0038] It can be understood that the embodiment of the present application can decompose the target hardware in the pumped-storage unit into multiple hardware layers, and the hierarchical structure helps to refine the evaluation content layer by layer to ensure the comprehensiveness and accuracy of the evaluation results.

[0039] In an embodiment of the present application, the target hardware in the pumped-storage unit is decomposed into multiple hardware layers, including: obtaining the structural principles, control requirements, operating conditions and functions of the target hardware in the pumped-storage unit; based on the structural principles, control requirements, operating conditions and functions, the target hardware is decomposed into board level, unit level and component level.

[0040] It can be understood that the embodiments of the present application can decompose the target hardware into board level, unit level and component level based on structural principles, control requirements, working conditions and functions. The hierarchical structure not only helps to refine the evaluation content layer by layer to ensure the comprehensiveness and accuracy of the evaluation results, but also simplifies the complex decision-making process and enhances the transparency and interpretability of the evaluation results.

[0041] For example, taking the SFC controller as an example, the hardware decomposition is shown in Table 1 below, and the decomposition of the excitation system controller is similar. The characteristic parameters of different levels are extracted, and the key quantitative indicators are characterized. On this basis, the performance indicator parameters for the component level, unit level and board level are obtained to form an indicator system. Taking the component level as an example, its performance indicators are shown in Table 2 below. These indicators correspond one by one to the first-level indicator layer, the second-level indicator layer, and the third-level indicator layer indicators in the lower layer of the model.

[0042] Table 1 SFC controller hardware decomposition

[0043]

[0044]

[0045] Table 2 Component level indicators

[0046]

[0047]

[0048] In step S102, performance index parameters of each hardware layer in the plurality of hardware layers are extracted, and an index system of the target hardware is generated according to the performance index parameters of each hardware layer.

[0049] It can be understood that the embodiment of the present application can extract performance indicator parameters of each hardware layer in multiple hardware layers, generate an indicator system for the target hardware according to the performance indicator parameters of each hardware layer, and ensure the comprehensiveness and accuracy of the evaluation process.

[0050] In step S103, the alternative solutions and indicator system of the target hardware are input into the alternative solution evaluation model, and the alternative solution evaluation model outputs the final evaluation result of the alternative solution, and the feasibility of the alternative solution is determined according to the final evaluation result, wherein the alternative solution evaluation model evaluates the alternative solution layer by layer based on the indicator system, and determines the final evaluation result of the alternative solution according to the weighted evaluation result of each hardware layer.

[0051] It can be understood that the embodiments of the present application can input the alternative solutions and indicator system of the target hardware into the alternative solution evaluation model, and the alternative solution evaluation model outputs the final evaluation results of the alternative solutions, and determines the feasibility of the alternative solutions based on the final evaluation results, wherein the alternative solution evaluation model evaluates the alternative solutions layer by layer based on the indicator system, and determines the final evaluation results of the alternative solutions by weighting the evaluation results of each hardware layer. Generating the final evaluation results of the alternative solutions through the alternative solution evaluation model can not only improve the accuracy and reliability of the evaluation, but also improve the efficiency of the evaluation, and can provide a theoretical basis and method support for the localization evaluation of similar systems.

[0052] In the embodiment of the present application, the alternative scheme evaluation model includes an upper layer and a lower layer, wherein the processing process of the lower layer is: using a fuzzy evaluation method to evaluate the performance index parameters of each hardware layer in the alternative scheme of the target hardware according to the index system to generate an evaluation result of each hardware layer; determining the relative importance of the target hardware layer relative to the upper layer of the target hardware layer according to the evaluation result, and evaluating and generating a fuzzy judgment matrix according to the relative importance, and obtaining the corresponding weight of each hardware layer according to the fuzzy judgment matrix;

[0053] The upper-layer processing process: Use the weight adjustment strategy to redistribute the weight of each hardware layer; calculate the final evaluation result of the alternative plan layer by layer based on the evaluation result and corresponding weight of each hardware layer.

[0054] It can be understood that the alternative scheme evaluation model in the embodiment of the present application can systematically and scientifically evaluate the alternative schemes of the target hardware in the pumped-storage unit, ensuring the accuracy and reliability of the evaluation results. Among them, the lower-level processing process uses the fuzzy evaluation method to refine the evaluation content layer by layer, ensuring that the evaluation results of each level have a basis to rely on; the upper-level processing process uses the weight adjustment strategy and layer-by-layer weighted calculation to comprehensively consider the evaluation results of multiple levels to ensure the comprehensiveness and accuracy of the evaluation results, which not only improves the accuracy and flexibility of the evaluation, but also enhances the evaluation efficiency.

[0055] Specifically, based on the fuzzy analytic hierarchy process and the structural weight allocation strategy, an alternative evaluation model for the component-unit-board architecture is constructed, e.g. Figure 3 The model is generally divided into the upper layer (shown as Figure 3 1), the lower layer (shown Figure 32): The lower layer adopts the fuzzy hierarchical analysis method, which is divided into the solution layer, the third-level indicator layer, the second-level indicator layer, and the first-level indicator layer from bottom to top; the upper layer adopts the weight adjustment strategy, and sets four layers of weights to perform weighted calculations on the first-level indicator layer results calculated by the fuzzy hierarchical analysis method layer by layer, and obtains the component level score, unit level score and board level score respectively, and the weighted sum is taken. The top layer is the process degree score of the localization replacement solution of SFC and excitation system controller, which is the target.

[0056] In an embodiment of the present application, before using a fuzzy evaluation method to evaluate the performance indicator parameters of each hardware layer in the alternative solutions of the target hardware to generate an evaluation result for each hardware layer, it includes: using a fuzzy hierarchical analysis method to grade each hardware layer in the alternative solutions of the target hardware to generate a solution layer, a third-level indicator layer, a second-level indicator layer and a first-level indicator layer.

[0057] It can be understood that the embodiments of the present application can ensure the rationality and consistency of the evaluation results through the fuzzy hierarchical analysis method, thereby improving the accuracy of the evaluation.

[0058] In an embodiment of the present application, a fuzzy evaluation method is used to evaluate the performance indicator parameters of each hardware layer in the alternative solutions of the target hardware to generate an evaluation result for each hardware layer, including: using the fuzzy evaluation method to evaluate the solution layer, the third-level indicator layer, the second-level indicator layer and the first-level indicator layer of each hardware layer in the alternative solutions of the target hardware layer by layer to generate corresponding evaluation results; and weighting the evaluation results layer by layer to generate an evaluation result for each hardware layer.

[0059] It can be understood that the embodiments of the present application can use the fuzzy evaluation method to evaluate the solution layer, third-level indicator layer, second-level indicator layer and first-level indicator layer of each hardware layer in the alternative solutions of the target hardware layer by layer, and generate the final evaluation results of each hardware layer by weighting layer by layer, which can ensure the systematic and scientific nature of the evaluation process.

[0060] Specifically, the fuzzy scoring method is used to score the various index parameters of different components at the component level, different units at the unit level, and different boards at the board level in different schemes of the fuzzy hierarchical analysis method scheme layer in the lower layer of the model. For example, the fuzzy mathematical evaluation theory of excellent, relatively excellent, medium, relatively poor, and bad are used to represent them, and the corresponding values ​​are 9, 7, 5, 3, and 1 respectively.

[0061] Taking the component level as an example, the scoring table for each type of component in the solution is shown in Table 3. At the component level, each component in each solution needs to be scored separately, for example: DSP, ARM, FPGA, RAM, Flash, etc., a total of 18 types of components; at the unit level, the performance indicators corresponding to the 25 divided units need to be scored separately, and at the board level, each indicator of the 7 board-level units needs to be scored.

[0062] Table 3 Component-level single component rating table for localization solutions

[0063]

[0064] The decision matrix Y is constructed according to the scoring situation, and the decision matrix is ​​normalized to obtain the normalized matrix X.

[0065] In an embodiment of the present application, before obtaining the corresponding weight of each hardware layer according to the fuzzy judgment matrix, it includes: performing a consistency check on the fuzzy judgment matrix to generate a check result; if the check result is less than the target threshold, the fuzzy judgment matrix satisfies consistency.

[0066] It can be understood that the embodiment of the present application can perform a consistency check on the fuzzy judgment matrix to generate a test result; if the test result is less than the target threshold, the fuzzy judgment matrix satisfies the consistency, and the consistency check method avoids unreasonable results caused by subjective bias, thereby improving the accuracy and reliability of the evaluation.

[0067] Specifically, experts score the relative importance of each layer of the fuzzy analytic hierarchy process in the lower layer of the model relative to the upper layer to obtain a fuzzy judgment matrix. Taking the component-level indicators as an example, according to the decomposition of the controller hardware, experts score the relative importance of the component-level indicators to the indicators of the previous level. Taking the specific component-level electrical indicators as an example, a three-level indicator scoring table as shown in Table 4 is constructed.

[0068] Table 4B11 Corresponding three-level indicator scores

[0069] B11 C111 C112 C113 C114 C115 C111 0.5 0.5 0.8 0.8 0.5 C112 0.5 0.5 0.8 0.8 0.5 C113 0.2 0.2 0.5 0.5 0.2 C114 0.2 0.2 0.5 0.5 0.2 C115 0.5 0.5 0.8 0.8 0.5

[0070] Thus, the weight W111 = [0.23 0.23 0.155 0.155 0.23] is calculated, and the consistency test result is 0.097, which is less than the specific threshold α = 0.1. The judgment matrix is ​​considered to be a satisfactory consistent matrix.

[0071] According to the method for evaluating hardware alternatives for a pumped-storage unit proposed in an embodiment of the present application, the target hardware in the pumped-storage unit is decomposed into multiple hardware layers; the performance indicator parameters of each hardware layer in the multiple hardware layers are extracted, and an indicator system for the target hardware is generated according to the performance indicator parameters of each hardware layer; the alternatives and the indicator system for the target hardware are input into an alternative evaluation model, and the alternative evaluation model outputs a final evaluation result of the alternative, and the feasibility of the alternative is determined according to the final evaluation result. The final evaluation result of the alternative is generated by the alternative evaluation model, which can not only improve the accuracy and reliability of the evaluation, but also improve the efficiency of the evaluation, and can provide a theoretical basis and method support for the localization evaluation of similar systems.

[0072] The following will be combined Figure 2 The evaluation method of the hardware replacement scheme of the pumped storage unit in this application is described in detail as follows:

[0073] Step S1: Perform operating condition and function analysis of the SFC or excitation system controller of the pumped storage unit to obtain circuit index requirements, which are divided into board-level, unit-level and chip-level alternative forms to form an index system

[0074] Firstly, the structural principles, control requirements, operating conditions and functions of the SFC and excitation control system are analyzed, and the controller hardware is decomposed into board level, unit level and component level respectively. As an alternative form in the domestic substitution plan, the characteristic parameters of different levels are extracted, and the key quantitative indicators are characterized. On this basis, the performance indicator parameters for the component level, unit level and board level are obtained to form an indicator system.

[0075] Step S2: Construct an alternative evaluation model for the component-unit-board architecture. The model is divided into upper and lower layers.

[0076] Based on the fuzzy analytic hierarchy process and structural weight allocation strategy, an alternative scheme evaluation model for the component-unit-board architecture is constructed. The model is generally divided into two layers: the lower layer adopts the fuzzy analytic hierarchy process, which is divided into the scheme layer, the third-level indicator layer, the second-level indicator layer, and the first-level indicator layer from bottom to top; the upper layer adopts the weight adjustment strategy, and sets four weights to perform weighted calculations on the first-level indicator layer results calculated by the fuzzy analytic hierarchy process, and obtains the component-level score, unit-level score, and board-level score respectively, and the weighted sum is calculated. The top layer is the process degree score of the localization alternative scheme of SFC and excitation system controller, which is the target.

[0077] Step S3: Experts conduct fuzzy scoring of the performance indicators of the component level, unit level, and board level of the domestic alternative solution

[0078] Experts use the fuzzy scoring method to score the various index parameters of different components at the component level, different units at the unit level, and different boards at the board level in different schemes of the fuzzy hierarchical analysis method scheme layer of the lower layer of the model described in S2. After obtaining the scores, the formula is used to standardize the scored data

[0079] Step S4: Experts score the relative importance of each layer of the fuzzy analytic hierarchy process in the lower layer of the model relative to the upper layer to obtain the fuzzy judgment matrix

[0080] Experts score the relative importance of each layer of the fuzzy hierarchical analysis method in the lower layer of the model relative to the upper layer, obtain the fuzzy judgment matrix, and pass the consistency test

[0081] Step S5: Formulate component-level, unit-level and board-level weight allocation strategies for the upper layer of the model

[0082] A component-level weight distribution strategy α1 is formulated for the A1 score of each component, a weight distribution strategy α2 is formulated for the A2 score of each unit, and a weight distribution strategy α3 is formulated for the A3 score of each board. Since components make up units, and units make up boards, the component-level score of the upper layer of the final model is obtained by weighted summing up the A1 scores of each component step by step through α1α2α3, the unit-level score of the upper layer of the model is obtained by weighted summing up the A2 scores of each unit step by step through α2α3, and the board-level score of the upper layer of the model is obtained by weighted summing up the A3 scores of each board step by step through α3.

[0083] Step S6: Calculate the score of the localization alternative and make an evaluation of the degree of localization

[0084] The localization degree score of the SFC / excitation control system alternative solution is obtained by weighted summation of the component level score, unit level score and board level score. If the various indicators at the component chip level, unit level and board level in the localization solution can completely replace imports, the scores for the performance indicators of the domestic chip, unit level and board level are all 9 points (the highest score). After the calculation of the above process, the final evaluation score is 1, that is, under ideal conditions, the domestic products can completely replace the imported devices to complete the work.

[0085] Collect data on domestically produced alternative chip components, perform expert fuzzy scoring on each model of each chip component, establish a chip component data set, and design a system for the above method based on this data set. The system flow is as follows: Figure 4 As shown, the specific process is as follows:

[0086] Enter the system, enter the main interface, select SFC or excitation system controller evaluation system, and enter the evaluation main interface; enter the board-level indicator scores and temporarily store them in the database; enter the unit-level indicator scores and temporarily store them in the database; select chip-level indicators, and the chip scores are automatically retrieved from the chip component data set; enter the domestic alternative solution indicator calculation interface. If you need to reset the data, return to the main interface and reselect the entry. Otherwise, select the indicator import to read the scores of each indicator in the temporary database. The score calculation process will directly calculate the final alternative solution score in combination with the weight data and output the result directly.

[0087] In summary, this application can score the localization alternatives of the SFC and excitation system controller of the pumped storage unit and obtain their degree of localization, providing a theoretical basis and methodological support for the localization evaluation of similar systems.

[0088] Figure 5 A block diagram of a pumped-storage unit hardware alternative solution evaluation device provided in an embodiment of the present application.

[0089] like Figure 5As shown, the pumped storage unit hardware replacement scheme evaluation device 10 includes: a decomposition module 100, an extraction module 200 and a processing module 300.

[0090] Among them, the decomposition module 100 is used to decompose the target hardware in the pumped-storage unit into multiple hardware layers; the extraction module 200 is used to extract the performance indicator parameters of each hardware layer in the multiple hardware layers, and generate the indicator system of the target hardware according to the performance indicator parameters of each hardware layer; the processing module 300 is used to input the alternative schemes of the target hardware and the indicator system into the alternative scheme evaluation model, the alternative scheme evaluation model outputs the final evaluation result of the alternative scheme, and determines the feasibility of the alternative scheme according to the final evaluation result, wherein the alternative scheme evaluation model evaluates the alternative scheme layer by layer based on the indicator system, and determines the final evaluation result of the alternative scheme according to the weighted evaluation result of each hardware layer.

[0091] In the embodiment of the present application, the target hardware includes a static frequency converter and an excitation system controller.

[0092] In an embodiment of the present application, the multiple hardware layers include board level, unit level and component level, wherein the decomposition module is further used to: obtain the structural principles, control requirements, operating conditions and functions of the target hardware in the pumped-storage unit; and decompose the target hardware into board level, unit level and component level based on the structural principles, control requirements, operating conditions and functions.

[0093] In an embodiment of the present application, the alternative scheme evaluation model includes an upper layer and a lower layer, wherein the processing process of the lower layer is: using a fuzzy evaluation method to evaluate the performance index parameters of each hardware layer in the alternative scheme of the target hardware according to the index system to generate an evaluation result of each hardware layer; determining the relative importance of the target hardware layer relative to the upper layer of the target hardware layer according to the evaluation result, and evaluating and generating a fuzzy judgment matrix according to the relative importance, and obtaining the corresponding weight of each hardware layer according to the fuzzy judgment matrix;

[0094] The processing process of the upper layer: using the weight adjustment strategy to redistribute the weight of each hardware layer; according to the evaluation result of each hardware layer and the corresponding weight, the final evaluation result of the alternative solution is calculated layer by layer.

[0095] In an embodiment of the present application, it also includes: a grading module, which is used to use a fuzzy hierarchical analysis method to grade each hardware layer in the alternative solutions of the target hardware into a solution layer, a third-level indicator layer, a second-level indicator layer and a first-level indicator layer before using a fuzzy evaluation method to evaluate the performance indicator parameters of each hardware layer in the alternative solutions of the target hardware and generate an evaluation result for each hardware layer.

[0096] In an embodiment of the present application, it also includes: an evaluation module, which is used to use a fuzzy evaluation method to evaluate the solution layer, third-level indicator layer, second-level indicator layer and first-level indicator layer of each hardware layer in the alternative solutions of the target hardware layer by layer to generate corresponding evaluation results; and weight the evaluation results layer by layer to generate evaluation results for each hardware layer.

[0097] In an embodiment of the present application, it also includes: a verification module, which is used to perform a consistency check on the fuzzy judgment matrix to generate a verification result before obtaining the corresponding weight of each hardware layer according to the fuzzy judgment matrix; if the verification result is less than the target threshold, the fuzzy judgment matrix satisfies the consistency.

[0098] It should be noted that the aforementioned explanation of the embodiment of the method for evaluating hardware replacement solutions for a pumped-storage unit is also applicable to the device for evaluating hardware replacement solutions for a pumped-storage unit of this embodiment, and will not be repeated here.

[0099] According to the pumped-storage unit hardware alternative scheme evaluation device proposed in the embodiment of the present application, the target hardware in the pumped-storage unit is decomposed into multiple hardware layers; the performance indicator parameters of each hardware layer in the multiple hardware layers are extracted, and the indicator system of the target hardware is generated according to the performance indicator parameters of each hardware layer; the alternative scheme and the indicator system of the target hardware are input into the alternative scheme evaluation model, and the alternative scheme evaluation model outputs the final evaluation result of the alternative scheme, and the feasibility of the alternative scheme is determined according to the final evaluation result. The final evaluation result of the alternative scheme is generated by the alternative scheme evaluation model, which can not only improve the accuracy and reliability of the evaluation, but also improve the efficiency of the evaluation, and can provide a theoretical basis and method support for the localization evaluation of similar systems.

[0100] Figure 6 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. The electronic device may include:

[0101] A memory 601 , a processor 602 , and a computer program stored in the memory 601 and executable on the processor 602 .

[0102] When the processor 602 executes the program, the pumped storage unit hardware replacement scheme evaluation method provided in the above embodiment is implemented.

[0103] Furthermore, the electronic device further comprises:

[0104] The communication interface 603 is used for communication between the memory 601 and the processor 602 .

[0105] The memory 601 is used to store computer programs that can be executed on the processor 602 .

[0106] The memory 601 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

[0107] If the memory 601, the processor 602 and the communication interface 603 are implemented independently, the communication interface 603, the memory 601 and the processor 602 can be connected to each other through a bus and communicate with each other. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 6 Only one thick line is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0108] Optionally, in a specific implementation, if the memory 601, the processor 602 and the communication interface 603 are integrated on a chip, the memory 601, the processor 602 and the communication interface 603 can communicate with each other through an internal interface.

[0109] The processor 602 may be a central processing unit (CPU), or an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present application.

[0110] An embodiment of the present application also provides a computer-readable storage medium having a computer program or instruction stored thereon. When the computer program or instruction is executed by a processor, the method for evaluating hardware replacement solutions for a pumped-storage unit as described above is implemented.

[0111] An embodiment of the present application also provides a computer program product, including a computer program or instructions, characterized in that when the computer program or instructions are executed, the above-mentioned method for evaluating hardware replacement solutions for pumped-storage units is implemented.

[0112] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or N embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0113] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include at least one of the features. In the description of this application, "N" means at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0114] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, fragment or portion of code comprising one or N executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in reverse order depending on the functions involved, which should be understood by technicians in the technical field to which the embodiments of the present application belong.

[0115] It should be understood that the various parts of the present application can be implemented by hardware, software, firmware or a combination thereof. In the above embodiment, the N steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one or a combination of multiple of the following technologies known in the art: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0116] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

Claims

1. A method for evaluating hardware replacement solutions for pumped storage units, characterized in that: The following steps are involved: Decompose the target hardware in the pumped storage unit into multiple hardware layers; Extracting performance indicator parameters of each hardware layer in the multiple hardware layers, and generating an indicator system of the target hardware according to the performance indicator parameters of each hardware layer; The alternative solutions of the target hardware and the indicator system are input into an alternative solution evaluation model, and the alternative solution evaluation model outputs a final evaluation result of the alternative solution. The feasibility of the alternative solution is determined according to the final evaluation result, wherein the alternative solution evaluation model evaluates the alternative solution layer by layer based on the indicator system, and determines the final evaluation result of the alternative solution by weighting the evaluation result of each hardware layer.

2. The method for evaluating hardware replacement solutions for pumped storage units according to claim 1, characterized in that: The multiple hardware layers include a board level, a unit level, and a component level. The decomposing the target hardware in the pumped storage unit into multiple hardware layers includes: Obtain the structural principles, control requirements, operating conditions and functions of the target hardware in the pumped storage unit; Based on the structural principles, control requirements, working conditions and functions, the target hardware is decomposed into board level, unit level and component level.

3. The method for evaluating hardware replacement solutions for pumped storage units according to claim 1, characterized in that: The alternative evaluation model includes an upper layer and a lower layer, wherein: The processing of the lower layer: Using a fuzzy evaluation method to evaluate the performance index parameters of each hardware layer in the alternative solution of the target hardware according to the index system to generate an evaluation result of each hardware layer; determining the relative importance of the target hardware layer relative to the layer above the target hardware layer according to the evaluation result, and generating a fuzzy judgment matrix based on the relative importance, and obtaining the corresponding weight of each hardware layer according to the fuzzy judgment matrix; The upper layer processing process: The weight of each hardware layer is redistributed by using a weight adjustment strategy; and a final evaluation result of the alternative solution is weightedly calculated layer by layer according to the evaluation result and the corresponding weight of each hardware layer.

4. The method for evaluating hardware replacement solutions for pumped storage units according to claim 3, characterized in that: Before using the fuzzy evaluation method to evaluate the performance index parameters of each hardware layer in the alternative solution of the target hardware to generate the evaluation result of each hardware layer, it includes: The fuzzy hierarchical analysis method is used to hierarchically generate each hardware layer in the alternative solutions of the target hardware into a solution layer, a third-level indicator layer, a second-level indicator layer and a first-level indicator layer.

5. The method for evaluating hardware replacement solutions for pumped storage units according to claim 4, characterized in that: The performance index parameters of each hardware layer in the alternative solution of the target hardware are evaluated by using a fuzzy evaluation method to generate an evaluation result of each hardware layer, including: Using a fuzzy evaluation method, the solution layer, the third-level indicator layer, the second-level indicator layer and the first-level indicator layer of each hardware layer in the alternative solution of the target hardware are evaluated layer by layer to generate corresponding evaluation results; The evaluation results are weighted layer by layer to generate an evaluation result for each hardware layer.

6. The method for evaluating hardware replacement solutions for pumped storage units according to claim 4, characterized in that: Before obtaining the corresponding weight of each hardware layer according to the fuzzy judgment matrix, the method includes: Performing a consistency check on the fuzzy judgment matrix to generate a check result; If the test result is less than the target threshold, the fuzzy judgment matrix satisfies consistency.

7. The method for evaluating hardware replacement solutions for pumped storage units according to claim 1, characterized in that: The target hardware includes a static frequency converter and an excitation system controller.

8. A pumped storage unit hardware replacement scheme evaluation device, characterized in that: include: A decomposition module, used for decomposing the target hardware in the pumped storage unit into multiple hardware layers; An extraction module, used to extract performance index parameters of each hardware layer in the multiple hardware layers, and generate an index system of the target hardware according to the performance index parameters of each hardware layer; A processing module is used to input the alternative solutions of the target hardware and the indicator system into an alternative solution evaluation model, the alternative solution evaluation model outputs a final evaluation result of the alternative solution, and determines the feasibility of the alternative solution according to the final evaluation result, wherein the alternative solution evaluation model evaluates the alternative solution layer by layer based on the indicator system, and determines the final evaluation result of the alternative solution by weighting the evaluation result of each hardware layer.

9. The pumped storage unit hardware replacement scheme evaluation device according to claim 8, characterized in that: The multiple hardware layers include a board level, a unit level, and a component level, wherein the decomposition module is further used to: Obtain the structural principles, control requirements, operating conditions and functions of the target hardware in the pumped storage unit; Based on the structural principles, control requirements, working conditions and functions, the target hardware is decomposed into board level, unit level and component level.

10. The device for evaluating hardware replacement solutions for a pumped storage unit according to claim 8, characterized in that: The alternative evaluation model includes an upper layer and a lower layer, wherein: The processing of the lower layer: Using a fuzzy evaluation method to evaluate the performance index parameters of each hardware layer in the alternative solution of the target hardware according to the index system to generate an evaluation result of each hardware layer; determining the relative importance of the target hardware layer relative to the layer above the target hardware layer according to the evaluation result, and generating a fuzzy judgment matrix based on the relative importance, and obtaining the corresponding weight of each hardware layer according to the fuzzy judgment matrix; The upper layer processing process: The weight of each hardware layer is redistributed by using a weight adjustment strategy; and a final evaluation result of the alternative solution is weightedly calculated layer by layer according to the evaluation result and the corresponding weight of each hardware layer.

11. The device for evaluating hardware replacement solutions for a pumped storage unit according to claim 10, characterized in that: Also includes: The grading module is used to grade each hardware layer in the alternative solutions of the target hardware by using a fuzzy hierarchical analysis method to generate a solution layer, a third-level indicator layer, a second-level indicator layer and a first-level indicator layer before using a fuzzy evaluation method to evaluate the performance indicator parameters of each hardware layer in the alternative solutions of the target hardware to generate an evaluation result for each hardware layer.

12. The device for evaluating hardware replacement solutions for a pumped storage unit according to claim 10, characterized in that: Also includes: An evaluation module, used for evaluating the solution layer, the third-level indicator layer, the second-level indicator layer and the first-level indicator layer of each hardware layer in the alternative solution of the target hardware by using a fuzzy evaluation method to generate corresponding evaluation results; The evaluation results are weighted layer by layer to generate an evaluation result for each hardware layer.

13. The pumped storage unit hardware replacement solution evaluation device according to claim 10, characterized in that: Also includes: A verification module, used for performing a consistency check on the fuzzy judgment matrix to generate a verification result before obtaining the corresponding weight of each hardware layer according to the fuzzy judgment matrix; If the test result is less than the target threshold, the fuzzy judgment matrix satisfies consistency.

14. The device for evaluating hardware replacement solutions for a pumped storage unit according to claim 8, characterized in that: The target hardware includes a static frequency converter and an excitation system controller.

15. An electronic device, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the method for evaluating hardware replacement solutions for a pumped storage unit as described in any one of claims 1 to 7.

16. A computer-readable storage medium having a computer program or instruction stored thereon, characterized in that: When the computer program or instruction is executed by a processor, it is used to implement the method for evaluating hardware replacement solutions for a pumped storage unit as described in any one of claims 1 to 7.

17. A computer program product comprising a computer program or instructions, characterized in that When the computer program or instruction is executed, the method for evaluating hardware replacement solutions for a pumped storage unit as described in any one of claims 1 to 7 is implemented.

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