Green energy system construction and development assessment method, device, equipment and storage medium

Abstract

The invention relates to the related technical field of green energy, in particular to a green energy system construction and development evaluation method and device, equipment and a storage medium. The method comprises the following steps: acquiring basic data of a green energy system; determining an evaluation index system based on the basic data; weighting each index in the evaluation index system based on an AEW objective weighting method to obtain a first weight; weighting each index in the evaluation index system based on a subjective weighting method of BWM to obtain a second weight; on the basis of the first weight and the second weight, solving the comprehensive weight of the target index based on a combined weight calculation strategy; and based on the target index comprehensive weight, adopting an alternative scheme sorting method of a compromise scheme to evaluate the green energy system so that related personnel can adjust a development strategy of the green energy system based on the evaluation.

Description

Technical Field

[0001] The present application relates to the technical field related to green energy, and specifically to a method, device, equipment and storage medium for evaluating the construction and development of a green energy system. Background Art

[0002] At present, most of the research on new energy systems focuses on the qualitative dimensions of framework building and path design, while there is a lack of research on the evaluation of the development effect of green energy system construction at the quantitative level. Existing research has failed to effectively identify the evaluation indicators that affect the development effect of green energy system construction, and cannot quantify the progress and results of regional green energy system construction. It is difficult to analyze the shortcomings in construction work, which is not conducive to guiding the region to carry out construction work and formulate phased construction goals. In addition, the selection of traditional energy system development effect evaluation indicators is limited to the development level of the energy system itself, ignoring the influence of many external macro-environments. A scientific and comprehensive evaluation indicator system needs to comprehensively consider multiple influencing factors. Summary of the invention

[0003] In view of this, the embodiments of the present application are committed to providing a green energy system construction and development evaluation method, device, equipment and storage medium to conduct a more comprehensive and effective analysis of the green energy system.

[0004] The first aspect of the present application provides a green energy system construction and development evaluation method, including:

[0005] Obtain basic data on green energy systems;

[0006] Based on the basic data, determine the evaluation indicator system;

[0007] Based on the objective weighting method of AEW, weights are assigned to each indicator in the evaluation index system to obtain the first weight value;

[0008] Based on the subjective weighting method of BWM, weights are assigned to each indicator in the evaluation index system to obtain the second weight value;

[0009] Based on the first weight and the second weight, solving the comprehensive weight of the target indicator based on the combined weight calculation strategy;

[0010] Based on the weights of the target indicators, the green energy system is evaluated by using a compromise alternative ranking method, so that relevant personnel can adjust the development strategy of the green energy system based on the evaluation.

[0011] In some embodiments, the evaluation index system includes four dimensions: energy structure, energy utilization, market policies and market mechanisms, and emission reduction effects.

[0012] In some embodiments, the objective weighting method based on AEW weights each indicator in the evaluation indicator system to obtain a first weight value, including:

[0013] Correspond the green energy system of each region to the evaluation object, correspond each indicator in the evaluation index system to the indicator in the objective weighting method of AEW, and determine the anti-entropy value of each indicator;

[0014] Normalize the anti-entropy value of each indicator to obtain the first weight.

[0015] In some embodiments, the subjective weighting method based on BWM weights each indicator in the evaluation indicator system to obtain a second weight, including:

[0016] Determine the best and worst indicators;

[0017] Obtain the evaluation results of the preset experts for the best and worst indicators for each indicator;

[0018] Based on the evaluation result, the optimal weight is calculated to obtain a second weight value.

[0019] In some embodiments, solving the indicator weight of each dimension based on the first weight and the second weight according to the indicator combination weight calculation strategy includes:

[0020] Based on the first weight and the second weight, and with the minimum heterogeneity as the goal, calculation is performed to obtain the target indicator weight.

[0021] In some embodiments, determining the development index of the green energy system based on the target indicator weights includes:

[0022] According to the weights of the target indicators, the evaluation of different green energy systems is determined based on the alternative scheme ranking method of the compromise solution.

[0023] The second aspect of the present application provides a green energy system construction and development evaluation device, comprising:

[0024] Acquisition module, used to obtain basic data of green energy system;

[0025] A determination module is used to determine the evaluation indicator system;

[0026] A weighting module is used to weight each indicator in the evaluation indicator system based on the objective weighting method of AEW to obtain a first weight; to weight each indicator in the evaluation indicator system based on the subjective weighting method of BWM to obtain a second weight; based on the first weight and the second weight, the comprehensive weight of the target indicator is solved based on the combined weight calculation strategy;

[0027] The evaluation module is used to evaluate the green energy system based on the target indicator weights and the alternative scheme ranking method of the compromise solution, so that relevant personnel can adjust the development strategy of the green energy system based on the evaluation.

[0028] A third aspect of the present application provides an electronic device, including:

[0029] A processor, and a memory for storing a program executable by the processor;

[0030] The processor is used to implement the green energy system construction and development evaluation method as described above by running the program in the memory.

[0031] A fourth aspect of the present application provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the processor executes the green energy system construction and development assessment method as described above.

[0032] The fifth aspect of the present application provides a computer program product, including a computer program, which implements the above-mentioned green energy system construction and development assessment method when executed by a processor.

[0033] The present application provides a method for evaluating the construction and development of a green energy system. First, the basic data of the green energy system is obtained; based on the basic data, the evaluation index system is determined; based on the objective weighting method of AEW, each indicator in the evaluation index system is weighted to obtain a first weight; based on the subjective weighting method of BWM, each indicator in the evaluation index system is weighted to obtain a second weight; based on the first weight and the second weight, the weight of the target indicator is solved according to the combined weight calculation strategy of the indicator; based on the weight of the target indicator, the alternative scheme ranking method of the compromise scheme is adopted to evaluate the green energy system, so that relevant personnel can adjust the development strategy of the green energy system based on the evaluation. In this way, by comprehensively using the two subjective and objective weighting methods of AEW and BWM, and solving the comprehensive weight of the target indicator through the combined weight calculation strategy, the green energy system can be evaluated more accurately, providing a reliable evaluation basis for relevant personnel. Determining the evaluation index system based on basic data can comprehensively consider all aspects of the green energy system, thereby more accurately reflecting its development status. Based on the weights of target indicators, the green energy system is evaluated, and relevant personnel can adjust the development strategy according to the evaluation results, which is helpful to promote the optimization and development of the green energy system. The weighting method combining AEW and BWM, which combines subjective and objective factors, can integrate the advantages of multiple methods, overcome the limitations of a single weighting method, and improve the scientificity and rationality of the evaluation. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] By describing the embodiments of the present application in more detail in conjunction with the accompanying drawings, the above and other purposes, features and advantages of the present application will become more apparent. The accompanying drawings are used to provide a further understanding of the embodiments of the present application and constitute a part of the specification. Together with the embodiments of the present application, they are used to explain the present application and do not constitute a limitation of the present application. In the accompanying drawings, the same reference numerals generally represent the same components or steps.

[0035] Figure 1 It is a flow chart of a green energy system construction and development evaluation method provided in one embodiment of the present application.

[0036] Figure 2 It is a structural diagram of a green energy system construction and development evaluation device provided by an embodiment of the present application.

[0037] Figure 3 It is a schematic diagram of the structure of an electronic device provided by an embodiment of the present application. DETAILED DESCRIPTION

[0038] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0039] Application Overview

[0040] At present, most of the research on new energy systems focuses on the qualitative dimensions of framework building and path design, while there is a lack of research on the evaluation of the development effect of green energy system construction at the quantitative level. Existing research has failed to effectively identify the evaluation indicators that affect the development effect of green energy system construction, and cannot quantify the progress and results of regional green energy system construction. It is difficult to analyze the shortcomings in construction work, which is not conducive to guiding the region to carry out construction work and formulate phased construction goals. In addition, the selection of traditional energy system development effect evaluation indicators is limited to the development level of the energy system itself, ignoring the influence of many external macro-environments. A scientific and comprehensive evaluation indicator system needs to comprehensively consider multiple influencing factors.

[0041] The selection of traditional energy system development effect evaluation indicators is limited to the development level of the energy system itself, ignoring the influence of many external macro-environments. A scientific and comprehensive evaluation indicator system needs to comprehensively consider the multi-layer influencing factors in the planning, construction, operation and management of the green energy system. In addition, for the quantitative evaluation of multiple indicators of the development of the green energy system, traditional evaluation methods such as the analytic hierarchy process and the entropy method are difficult to solve this complex decision-making problem based on simple linear weighted calculation values, and their rationality and extensibility need to be improved. TOPSIS can compare the advantages and disadvantages of the evaluation area, but the calculation process of its standardized evaluation matrix is ​​relatively complicated, and the weights of each factor need to be given in advance, which is highly subjective. The key factors affecting the status of the evaluation area identified in this way may deviate from the objective facts.

[0042] In order to solve the above problems, this application provides a solution. Combining the basic framework of the green energy system of "clean", "low-carbon", "safe" and "efficient", this application proposes a set of indicators suitable for evaluating the development of green energy system construction. It is used to evaluate the progress and effectiveness of regional green energy system construction, and can effectively feedback the weak links in the construction, which will help guide the formulation of phased goals and the implementation of work in the construction of the green energy system.

[0043] Specifically, according to the objectives, structure, function, and benefits of the green energy system, a green energy system construction and development evaluation index system covering energy structure, energy utilization, market policy and market mechanism, and emission reduction effectiveness indicators is constructed. The evaluation index system has a clear hierarchy, which can fully capture the current development situation of my country's green energy system and comprehensively and scientifically reflect the overall development of the green energy system. The green energy system construction and development evaluation method based on the subjective and objective combination (AEW-BWM) weighting method and MARCOS evaluation technology can effectively improve the evaluation efficiency and obtain more accurate evaluation results. Among them, the BWM method first identifies the best (most important) and worst (least important) indicators from n indicators, uses them as reference standards, and compares them with other indicators in pairs. The comparison results need to be expressed as integers between 1 and 9. Compared with the analytic hierarchy process (AHP), the BWM method greatly simplifies the pairwise comparison process by identifying the best and worst indicators; further, the indicator weight solution process is transformed into an optimization problem solution process, which can effectively ensure the reliability of the weight results. The MARCOS method determines the utility function of the alternative solution by comparing the reference value of the alternative solution with the ideal value, and realizes the compromise ranking associated with the ideal solution and the negative ideal solution. Among them, the utility function represents the position of an alternative solution on the ideal and negative ideal solutions. MARCOS is a very reasonable method that considers both the ideal solution and the negative ideal solution, closely determines the utility associated with the two solutions, and considers the possibility of a large number of standards and alternative solutions while maintaining the stability of the method, so that the results have good robustness and accuracy.

[0044] After introducing the basic principles of the present application, various non-limiting embodiments of the present application will be described in detail with reference to the accompanying drawings.

[0045] Exemplary Methods

[0046] Figure 1 1 is a flow chart of a green energy system construction and development evaluation method provided by an embodiment of the present application. Figure 1 As shown, the method includes the following contents.

[0047] Step S110, obtaining basic data of the green energy system;

[0048] This is the starting point of the entire evaluation process, which requires the collection of various data related to the green energy system, such as energy structure, energy utilization, market, emission reduction results, etc. These data will serve as the basis for subsequent evaluations.

[0049] Step S120, determining an evaluation index system based on the basic data;

[0050] After obtaining basic data, it is necessary to determine the indicator system used to evaluate the development of the green energy system based on these data. This indicator system should be able to comprehensively and accurately reflect the characteristics and development status of the green energy system, usually considering the dimensions of energy structure, energy utilization, market policies and market mechanisms, and emission reduction effects.

[0051] Step S130, weighting each indicator in the evaluation indicator system based on the objective weighting method of AEW to obtain a first weight value;

[0052] AEW (Anti-Entropy Weighing) is an objective weighting method. In this step, each indicator in the evaluation index system corresponds to the indicator in the AEW method, and the first weight is obtained by calculating the anti-entropy value of each indicator and normalizing it. The first weight reflects the objective importance of each indicator under the AEW method.

[0053] Step S140, weighting each indicator in the evaluation indicator system based on the subjective weighting method of BWM to obtain a second weight value;

[0054] BWM (Best-Worst Method) is a subjective weighting method. First, the best and worst indicators need to be determined, and then the evaluation results of each indicator relative to the best and worst indicators by the preset experts are obtained. Based on these evaluation results, the optimal weight is calculated to obtain the second weight. The second weight reflects the subjective importance of each indicator under the BWM method.

[0055] Step S150, based on the first weight and the second weight, solving the target indicator weight according to the indicator combination weight calculation strategy;

[0056] After obtaining the first and second weights, they are used as a basis to solve the target indicator weight according to a specific combined weight calculation strategy. The purpose of this step is to comprehensively consider the results of the two weighting methods, AEW and BWM, to obtain a more reasonable and accurate indicator comprehensive weight.

[0057] Step S160, based on the comprehensive weight of the target indicators, the green energy system is evaluated by using a compromise alternative scheme ranking method, so that relevant personnel can adjust the development strategy of the green energy system based on the evaluation.

[0058] The green energy system is evaluated using the obtained target indicator weights. The evaluation results will provide relevant personnel with information on the construction and development of the green energy system, and they can adjust the development strategy of the green energy system based on these evaluation results to promote its better development.

[0059] In general, these steps constitute a complete green energy system construction and development evaluation process. By scientifically and rationally determining the indicator system, empowerment and evaluation, they can provide strong support and guidance for the development of the green energy system.

[0060] In some embodiments, the evaluation index system includes four dimensions: energy structure, energy utilization, market policies and market mechanisms, and emission reduction effects.

[0061] An evaluation index system is proposed from four dimensions: energy structure, energy utilization, market policy and market mechanism, and emission reduction effect, which respectively characterizes the development of regional non-fossil energy investment, the actual utilization of non-fossil energy, the policy and market support for promoting clean energy consumption in the region, and the actual emission reduction effect in the current year. A total of 10 indicators are involved, and the specific indicator calculation method is shown in the following table.

[0062]

[0063] In some embodiments, the objective weighting method based on AEW weights each indicator in the evaluation indicator system to obtain a first weight value, including:

[0064] Correspond the green energy system of each region to the evaluation object, correspond each indicator in the evaluation index system to the indicator in the objective weighting method of AEW, and determine the anti-entropy value of each indicator;

[0065] Normalize the anti-entropy value of each indicator to obtain the first weight.

[0066] Specifically, the process of the objective weighting method based on AEW is as follows:

[0067] Entropy is a concept used in thermodynamic systems to measure the degree of disorder in a system. This concept was later introduced into information theory. When there are s possible states in a system and the probability of each possible state occurring is p f (f=1,2,…,s), then entropy can be defined as follows:

[0068]

[0069] Where 0≤p f ≤1 and there is ∑ f p f =1.

[0070] Under the AEW method, assuming that for the multi-attribute decision-making problem to be studied, the number of objects to be evaluated is m (i.e., the regions to be evaluated), and the number of indicators is n (n = 9 in this study), then the indicator value can be expressed as x ij (i=1,2,…,n,j=1,2,…m), the corresponding decision matrix can be written as X=[x ij ]n×m Therefore, the anti-entropy value of each indicator can be expressed as:

[0071]

[0072] In the formula, r ij =x ij / ∑ j x ij Represents the dimensionless value of the indicator value. By normalizing the anti-entropy value of the indicator, the AEW weight w of the indicator can be obtained. 1i :

[0073] w 1i =h i / ∑ i h i (3)

[0074] In some embodiments, the subjective weighting method based on BWM weights each indicator in the evaluation indicator system to obtain a second weight, including:

[0075] Determine the best and worst indicators;

[0076] Obtain the evaluation results of the preset experts for the best and worst indicators for each indicator;

[0077] Based on the evaluation result, the optimal weight is calculated to obtain a second weight value.

[0078] Specifically, the process of the subjective weighting method based on BWM is as follows:

[0079] Obtain the weighted indicators {C1,C1,…C j}, 1≤j≤n (n=9 in this study), and determine the optimal index C B and the worst indicator C W ;

[0080] Step 1: Z experts evaluate n indicators (indicators to be weighted) and determine the best and worst indicators. The best indicator is determined by C B Indicates that the worst indicator is C W express.

[0081] Step 2: Determine the priority of the optimal indicator over other indicators. Each expert evaluates and scores with an integer from 1 to 9, 1 means "equally important" and 9 means "extremely important", thus constructing a comparison vector A. i B =(a i B1 ,a i B2 ,…,a iBn ), where a i Bj Indicates that expert z believes that the optimal indicator C B Better than indicator C j degree.

[0082] Step 3: Determine the priority of other indicators over the worst indicator. Similarly, each expert evaluates and scores with an integer from 1 to 9, and thus constructs a comparison vector A z W =(a z W1 ,a z W2 ,…,a z Wn ), where a z Wj Indicates that expert z believes that other indicators C j Better than the worst indicator C W degree.

[0083] Step 4: Calculate the optimal weights (ω* z1 ,ω* z2 ,…,ω* zn ), where ξ is the consistency index, the closer its value is to 0, the higher the consistency.

[0084]

[0085] Among them, ξ is the consistency index; ω Β is the weight of the optimal indicator, ω j is the weight of the indicator to be weighted, α Βj is the optimal index C B Better than the indicator C to be empowered j The degree, α Wj C is the indicator to be weighted j Better than the worst indicator C W The degree of ω* z1 ,ω* z2 ,…,ω* zn The optimal weights of all indicators determined by expert z;

[0086] Step 5: After obtaining the weight judgment results of each expert, calculate them according to the following formula to finally obtain the comprehensive weight of each indicator:

[0087]

[0088] Among them, z is the number of experts, C is the indicator to be weighted j A single weight, C is the indicator to be weightedj The comprehensive weight of .

[0089] At this point, the subjective weights of all indicators under the BWM method, that is, the second weight, are obtained, denoted as w 2i .

[0090] Furthermore, the indicator weight of each dimension is solved based on the first weight and the second weight according to the combined weight calculation strategy of the indicator, including: based on the first weight and the second weight, with the minimum heterogeneity as the goal, calculation is performed to obtain the target indicator weight.

[0091] Specifically, the fundamental principle of subjective and objective integrated weights is to minimize the heterogeneity between objective weights and subjective weights. Therefore, the subjective and objective integrated weights are obtained by solving the following optimization problem:

[0092]

[0093] In the formula, w 0i It is the normalized subjective and objective integrated weight of indicator i (i.e., target weight).

[0094] In some embodiments, determining the development index of the green energy system based on the target indicator weights includes:

[0095] According to the weights of the target indicators, the evaluation of different green energy systems is determined based on the alternative scheme ranking method of the compromise solution.

[0096] As a possible implementation of this embodiment, the weight of the indicator of each dimension is obtained by solving the weight calculation strategy of each indicator, and the purpose of the green energy system construction and development assessment is to evaluate the level of green energy system construction and development in different provinces. Therefore, an evaluation method based on a compromise solution, MARCOS (Measurement of alternatives and ranking according to Compromise solution), is proposed. This method determines the utility function of the alternative solution by comparing the reference value of the alternative solution with the ideal value, and realizes the compromise ranking associated with the positive ideal solution and the negative ideal solution. Among them, the utility function represents the position of an alternative solution for the positive ideal and negative ideal solutions. It includes the following steps:

[0097] Step 1: Form an initial decision matrix. Construct a multi-criteria model consisting of a set of n indicators (n = 9 in this study) and m alternatives (i.e., the number of regions participating in the evaluation). At the same time, in the case of group decision-making, a group of Z experts is formed to score the alternatives according to the criteria. In this case, the expert evaluation matrix is ​​aggregated into the initial group decision matrix.

[0098] Step 2: Form the extended initial matrix X = [x ij ] m×n Since the indicators in the indicator system have different impact directions on the decision-making objectives, the positive ideal solution (AI) and the negative ideal solution (AAI) are defined to achieve the expansion of the initial matrix. The positive ideal solution (AI) is the solution with the best characteristics, and the negative ideal solution (AAI) is the worst solution.

[0099]

[0100] Among them, according to the nature of the standard, the values ​​of AAI and AI are as follows:

[0101] AAI=min i x ij ,if j∈B and max i x iij ,if j∈C (8)

[0102] AI=min i x ij ,if j∈B and max i x ij ,if j∈C (9)

[0103] Among them, B represents a positive indicator and C represents a negative indicator.

[0104] Step 3: Standardize and expand the initial matrix N = [n ij ] m×n By initially normalizing the matrix, a normalized decision matrix is ​​obtained.

[0105]

[0106] Among them, x ij and x ai The initial matrix X = [x ij ] m×n elements.

[0107] Step 4: Determine the weighted normalized decision matrix V = [v] m×n . Obtained by multiplying the normalized decision matrix elements by the weights.

[0108] v ij =n ij × j (12)

[0109] Step 5: Calculate the utility K of the alternatives i The utility of the alternatives relative to the negative ideal and ideal solutions is calculated using the following formula.

[0110]

[0111] Wherein, S (i=1, 2,…, m) represents the sum of elements in the weighted matrix V.

[0112]

[0113] Step 6: Determine alternative f(K i ) is a utility function. The utility function is a compromise between alternatives and ideal and anti-ideal solutions. It is expressed as follows:

[0114]

[0115] in, represents the utility function associated with the negative ideal solution, and represents the utility function associated with the ideal solution. The utility function expression is as follows:

[0116]

[0117] Step 7: Rank the alternatives. The ranking of the alternatives is based on the final value of the utility function. The ideal situation is that the alternative has the highest possible utility function value.

[0118] In summary, in the scheme provided by this application, (1) the constructed index system fully considers the influence of factors such as future power production, layout adjustment, new energy development and operation characteristics, and fully combines the operation characteristics, development form and development status of the regional green energy system construction from the dimensions of energy structure, energy utilization, market policy and market mechanism, and emission reduction effectiveness indicators. It is comprehensive, systematic and objective; (2) the subjective indicator weighting method of the best-worst method (BWM) adopted simplifies the process of comparing indicators with each other, has low requirements on the original data of indicators, and can improve the reliability of the weighting results by converting the weight calculation process into an optimization problem; (3) the proposed subjective and objective combined weighting method can effectively integrate the subjective weighting method (BWM) and the objective weighting method. The advantages of the Advanced Energy Evaluation Method (AEW) overcome the limitations of a single weighting method, can make full use of the objective information carried by the indicator and consider the connotation of the indicator itself, ensure the interpretability of the weight result, avoid subjectivity, and thus ensure the reliability of the indicator weighting result; (4) The adopted MARCOS evaluation method, on the one hand, can reduce the dependence on the original information of the indicator, and on the other hand, can effectively solve the ranking invalidity problem caused by a single evaluation object, thereby bringing convenience to the practical application of the evaluation model; (5) A green energy system construction and development evaluation device is provided, including a processor and a memory storing computer program instructions, the processor reads and executes the computer program instructions to effectively implement any of the green energy system construction and development evaluation methods described above.

[0119] Exemplary Devices

[0120] The device embodiments of the present application can be used to execute the method embodiments of the present application. For details not disclosed in the device embodiments of the present application, please refer to the method embodiments of the present application.

[0121] Figure 2 FIG. 1 is a block diagram of a green energy system construction and development evaluation device provided by an embodiment of the present application. Figure 2 As shown, the device comprises:

[0122] An acquisition module 21 is used to acquire basic data of the green energy system;

[0123] A determination module 22, used to determine an evaluation index system based on the basic data;

[0124] The weighting module 23 is used to weight each indicator in the evaluation indicator system based on the objective weighting method of AEW to obtain a first weight; to weight each indicator in the evaluation indicator system based on the subjective weighting method of BWM to obtain a second weight; based on the first weight and the second weight, solve the target indicator weight according to the combined weight calculation strategy of the indicator;

[0125] The evaluation module 24 is used to evaluate the green energy system based on the target indicator weights and by using a compromise alternative scheme ranking method, so that relevant personnel can adjust the development strategy of the green energy system based on the evaluation.

[0126] In some embodiments, the evaluation index system includes four dimensions: energy structure, energy utilization, market policies and market mechanisms, and emission reduction effects.

[0127] In some embodiments, the objective weighting method based on AEW weights each indicator in the evaluation indicator system to obtain a first weight value, including:

[0128] Correspond the green energy system of each region to the evaluation object, correspond each indicator in the evaluation index system to the indicator in the objective weighting method of AEW, and determine the anti-entropy value of each indicator;

[0129] Normalize the anti-entropy value of each indicator to obtain the first weight.

[0130] In some embodiments, the subjective weighting method based on BWM weights each indicator in the evaluation indicator system to obtain a second weight, including:

[0131] Determine the best and worst indicators;

[0132] Obtain the evaluation results of the preset experts for the best and worst indicators for each indicator;

[0133] Based on the evaluation result, the optimal weight is calculated to obtain a second weight value.

[0134] In some embodiments, solving the indicator weight of each dimension based on the first weight and the second weight according to the indicator combination weight calculation strategy includes:

[0135] Based on the first weight and the second weight, and with the minimum heterogeneity as the goal, calculation is performed to obtain the target indicator weight.

[0136] In some embodiments, determining the development index of the green energy system based on the target indicator weights includes:

[0137] According to the weights of the target indicators, the evaluation of different green energy systems is determined based on the alternative scheme ranking method of the compromise solution.

[0138] Exemplary Electronic Devices

[0139] Below, reference Figure 3 To describe an electronic device according to an embodiment of the present application. Figure 3A block diagram of an electronic device according to an embodiment of the present application is illustrated.

[0140] like Figure 3 As shown, electronic device 300 includes one or more processors 310 and memory 320 .

[0141] The processor 310 may be a central processing unit (CPU) or other forms of processing units having data processing capabilities and / or instruction execution capabilities, and may control other components in the electronic device 300 to perform desired functions.

[0142] The memory 320 may include one or more computer program products, which may include various forms of computer-readable storage media, such as volatile memory and / or non-volatile memory. The volatile memory may include, for example, a random access memory (RAM) and / or a cache memory (cache), etc. The non-volatile memory may include, for example, a read-only memory (ROM), a hard disk, a flash memory, etc. One or more computer program instructions may be stored on the computer-readable storage medium, and the processor 310 may run the program instructions to implement the green energy system construction development assessment method of each embodiment of the present application described above and / or other desired functions. Various contents such as category correspondences may also be stored in the computer-readable storage medium.

[0143] In one example, the electronic device 300 may further include: an input device 330 and an output device 340 , and these components are interconnected via a bus system and / or other forms of connection mechanisms (not shown).

[0144] In addition, the input device 330 may also include, for example, a keyboard, a mouse, an interface, etc. The output device 340 may output various information to the outside, including analysis results, etc. The output device 340 may include, for example, a display, a speaker, a printer, a communication network and a remote output device connected thereto, etc.

[0145] Of course, to simplify, Figure 3 Only some of the components in the electronic device related to the present application are shown, and components such as a bus, an input / output interface, etc. are omitted. In addition, the electronic device may further include any other appropriate components according to specific application conditions.

[0146] Exemplary computer program products and computer-readable storage media

[0147] In addition to the above-mentioned methods and devices, an embodiment of the present application may also be a computer program product, which includes computer program instructions, which, when executed by a processor, enable the processor to execute the steps of the green energy system construction and development assessment method according to various embodiments of the present application described in the above-mentioned "Exemplary Method" section of this specification.

[0148] The computer program product may be written in any combination of one or more programming languages ​​to write program codes for performing the operations of the embodiments of the present application, including object-oriented programming languages, such as Java, C++, etc., and conventional procedural programming languages, such as "C" language or similar programming languages. The program code may be executed entirely on the user computing device, partially on the user device, as an independent software package, partially on the user computing device and partially on a remote computing device, or entirely on a remote computing device or server.

[0149] In addition, an embodiment of the present application may also be a computer-readable storage medium on which computer program instructions are stored. When the computer program instructions are executed by a processor, the processor executes the steps of the green energy system construction and development evaluation method according to various embodiments of the present application described in the above "Exemplary Method" section of this specification.

[0150] The computer readable storage medium can adopt any combination of one or more readable media. The readable medium can be a readable signal medium or a readable storage medium. The readable storage medium can include, for example, but is not limited to, a system, device or device of electricity, magnetism, light, electromagnetic, infrared, or semiconductor, or any combination of the above. More specific examples (non-exhaustive list) of readable storage media include: an electrical connection with one or more wires, a portable disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above.

[0151] The above description has been given for the purpose of illustration and description. In addition, this description is not intended to limit the embodiments of the present application to the forms disclosed herein. Although multiple example aspects and embodiments have been discussed above, those skilled in the art will recognize certain variations, modifications, changes, additions and sub-combinations thereof.

Claims

1. A green energy system construction and development evaluation method, characterized in that: include: Obtain basic data on green energy systems; Based on the basic data, determine the evaluation indicator system; Based on the objective weighting method of AEW, weights are assigned to each indicator in the evaluation index system to obtain the first weight value; Based on the subjective weighting method of BWM, weights are assigned to each indicator in the evaluation index system to obtain the second weight value; Based on the first weight and the second weight, solving the comprehensive weight of the target indicator based on the combined weight calculation strategy; Based on the comprehensive weights of the target indicators, the green energy system is evaluated by using a compromise alternative ranking method, so that relevant personnel can adjust the development strategy of the green energy system based on the evaluation.

2. The green energy system construction and development evaluation method according to claim 1 is characterized in that: The evaluation index system includes four dimensions: energy structure, energy utilization, market policies and market mechanisms, and emission reduction effects.

3. The green energy system construction and development evaluation method according to claim 1 is characterized in that: The objective weighting method based on AEW weights each indicator in the evaluation indicator system to obtain the first weight, including: Correspond the green energy system of each region to the evaluation object, correspond each indicator in the evaluation index system to the indicator in the objective weighting method of AEW, and determine the anti-entropy value of each indicator; Normalize the anti-entropy value of each indicator to obtain the first weight.

4. The green energy system construction and development evaluation method according to claim 1 is characterized in that: The subjective weighting method based on BWM is used to weight each indicator in the evaluation indicator system to obtain the second weight, including: Determine the best and worst indicators; Obtain the evaluation results of the preset experts for the best and worst indicators for each indicator; Based on the evaluation result, the optimal weight is calculated to obtain a second weight value.

5. The green energy system construction and development evaluation method according to claim 1 is characterized in that: The step of solving the indicator weight of each dimension based on the first weight and the second weight according to the indicator combination weight calculation strategy includes: Based on the first weight and the second weight, and with the minimum heterogeneity as the goal, calculation is performed to obtain the target indicator weight.

6. The green energy system construction and development evaluation method according to claim 1 is characterized in that: Determining the development index of the green energy system based on the target indicator weights includes: According to the weights of the target indicators, the evaluation of different green energy systems is determined based on the alternative scheme ranking method of the compromise solution.

7. A green energy system construction and development assessment device, characterized in that: include: Acquisition module, used to obtain basic data of green energy system; A determination module is used to determine the evaluation indicator system; A weighting module is used to weight each indicator in the evaluation indicator system based on the objective weighting method of AEW to obtain a first weight; to weight each indicator in the evaluation indicator system based on the subjective weighting method of BWM to obtain a second weight; based on the first weight and the second weight, the weight of the target indicator is solved according to the combined weight calculation strategy of the indicator; The evaluation module is used to evaluate the green energy system based on the target indicator weights and adopt a compromise alternative scheme ranking method to allow relevant personnel to adjust the development strategy of the green energy system based on the evaluation.

8. An electronic device, characterized in that: include: A processor, and a memory for storing a program executable by the processor; The processor is used to implement the green energy system construction and development assessment method as described in any one of claims 1 to 6 by running the program in the memory.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, which, when executed by a processor, enables the processor to execute the green energy system construction and development assessment method as described in any one of claims 1 to 6.

10. A computer program product, comprising a computer program, wherein when the computer program is executed by a processor, the method for evaluating the construction and development of a green energy system according to any one of claims 1 to 6 is implemented.

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