A method for optimizing comprehensive benefit evaluation scheme of hydro-wind-solar-storage multi-energy complementary system

Abstract

The present invention discloses a method for optimizing a comprehensive benefit evaluation scheme for a water-wind-solar-storage multi-energy complementary system, constructs a comprehensive benefit evaluation index matrix for the water-wind-solar-storage multi-energy complementary system, and obtains the subjective and objective comprehensive weight coefficients of each type of evaluation index through tomographic analysis and entropy weight method processing; constructs a target benefit evaluation scheme optimization model based on the subjective and objective comprehensive weight coefficients; solves the target benefit evaluation scheme optimization model to obtain a target comprehensive benefit evaluation scheme for the water-wind-solar-storage multi-energy complementary system. It not only takes into account the subjective preference of expert experience, but also respects the objective characteristics of the data itself; by solving the target benefit evaluation scheme optimization model, the best scheme for the comprehensive benefit evaluation of the water-wind-solar-storage multi-energy complementary system can be quickly identified, providing intelligent and rapid decision-making technical support for the comparison of various installed capacity scale installation schemes and analysis of different control and operation schemes for the water-wind-solar-storage multi-energy complementary system.

Description

Technical Field

[0001] The present invention relates to the technical field of electric power systems, and in particular to a method for optimizing a comprehensive benefit evaluation scheme for a water-wind-solar-storage multi-energy complementary system. Background Art

[0002] At present, the overall efficiency of the power system is not high, and the contradictions such as the lack of mutual assistance among various power sources are becoming increasingly prominent. Constructing a water-wind-solar-storage multi-energy complementary system that includes multiple types of clean renewable energy such as water, wind, and light, as well as energy storage facilities such as pumped storage, will help promote the large-scale consumption of clean electricity and optimize the energy structure. With the deepening of the reform of the power system, wind, solar, and water storage insist on market-oriented development, and the business model space for wind, solar, and water storage is opening up. Aiming at the comprehensive benefits of the water-wind-solar-storage multi-energy complementary system, establishing a comprehensive, scientific, and reference-worthy evaluation and assessment method can provide theoretical support for the investment and construction of the water-wind-solar-storage multi-energy complementary system and promote the continuous optimization and adjustment of the energy structure. Summary of the invention

[0003] In view of this, an embodiment of the present invention provides a method for optimizing a comprehensive benefit evaluation scheme for a water-wind-solar-storage multi-energy complementary system, so as to solve the technical problem that there is a lack of a comprehensive, scientific, and reference-worthy optimization method for evaluation schemes in the prior art.

[0004] The technical solution proposed by the present invention is as follows:

[0005] In the first aspect, an embodiment of the present invention provides a method for optimizing a comprehensive benefit evaluation scheme for a water-wind-solar-storage multi-energy complementary system. The method for optimizing a comprehensive benefit evaluation scheme for a water-wind-solar-storage multi-energy complementary system includes: constructing a comprehensive benefit evaluation index matrix for a water-wind-solar-storage multi-energy complementary system; based on the comprehensive benefit evaluation index matrix for a water-wind-solar-storage multi-energy complementary system, obtaining subjective and objective comprehensive weight coefficients for each type of the evaluation index through tomography analysis and entropy weight method processing; constructing a target benefit evaluation scheme optimization model based on the subjective and objective comprehensive weight coefficients; solving the target benefit evaluation scheme optimization model to obtain a target comprehensive benefit evaluation scheme for a water-wind-solar-storage multi-energy complementary system.

[0006] In combination with the first aspect, in a possible implementation method of the first aspect, based on the comprehensive benefit evaluation index matrix of the water-wind-solar-storage multi-energy complementary system, after processing by tomography analysis method and entropy weight method, the subjective and objective comprehensive weight coefficient of each evaluation index is obtained, including: based on the comprehensive benefit evaluation index matrix of the water-wind-solar-storage multi-energy complementary system, after processing by tomography analysis method, the subjective weight coefficient of each evaluation index is obtained; based on the comprehensive benefit evaluation index matrix of the water-wind-solar-storage multi-energy complementary system, each type of evaluation index in each comprehensive benefit to be evaluated scheme of the water-wind-solar-storage multi-energy complementary system is standardized to obtain the standardized processing result of the comprehensive benefit evaluation index matrix of the water-wind-solar-storage multi-energy complementary system; based on the standardized processing result of the comprehensive benefit evaluation index matrix of the water-wind-solar-storage multi-energy complementary system, after processing by entropy weight method, the objective weight coefficient of each type of evaluation index is obtained; the split ratio of the subjective weight coefficient and the objective weight coefficient is determined; the subjective and objective comprehensive weight coefficient of each type of evaluation index is determined based on the subjective weight coefficient, the objective weight coefficient and the split ratio.

[0007] In combination with the first aspect, in another possible implementation method of the first aspect, a target benefit evaluation scheme optimization model is constructed based on the subjective and objective comprehensive weight coefficients, including: obtaining the relative superiority of each of the comprehensive benefit schemes to be evaluated for the water-wind-solar-storage multi-energy complementary system; calculating the overall comprehensive distance and weighted distance to optimality of each of the comprehensive benefit schemes to be evaluated for the water-wind-solar-storage multi-energy complementary system; determining a first objective function based on the overall comprehensive distance; determining a second objective function based on the weighted distance to optimality; based on the split ratio and the relative superiority, through the first objective function and the second objective function, constructing a target benefit evaluation scheme optimization model.

[0008] In combination with the first aspect, in another possible implementation of the first aspect, the overall comprehensive distance and weighted distance to the best of all the comprehensive benefit schemes to be evaluated for the water-wind-solar-storage multi-energy complementary system are calculated, including: calculating the weighted distance to the best of all and the weighted distance to the worst of all based on the subjective and objective comprehensive weight coefficients and the standardized processing results; calculating the overall comprehensive distance based on the weighted distance to the best of all and the weighted distance to the worst of all.

[0009] In combination with the first aspect, in another possible implementation of the first aspect, the target benefit evaluation scheme optimization model is solved to obtain a target comprehensive benefit evaluation scheme of a water-wind-solar-storage multi-energy complementary system, including: based on the first objective function and the second objective function, a non-inferior solution set is obtained through processing by a multi-objective heuristic intelligent optimization algorithm, and the non-inferior solution set reflects a solution set of a comprehensive benefit evaluation scheme of a water-wind-solar-storage multi-energy complementary system that simultaneously satisfies the first objective function and the second objective function; the optimal splitting ratio and the optimal relative superiority are determined in the non-inferior solution set in combination with the decision maker's preference; the optimal subjective and objective comprehensive weight coefficient is determined based on the optimal splitting ratio; the optimal overall comprehensive distance is determined based on the optimal relative superiority, the optimal subjective and objective comprehensive weight coefficient and the standardized processing result; and the target comprehensive benefit evaluation scheme of a water-wind-solar-storage multi-energy complementary system is determined based on the optimal overall comprehensive distance.

[0010] In the second aspect, an embodiment of the present invention provides a device for optimizing a comprehensive benefit evaluation scheme for a water-wind-solar-storage multi-energy complementary system, and the device for optimizing a comprehensive benefit evaluation scheme for a water-wind-solar-storage multi-energy complementary system includes: a first construction module, used to construct a comprehensive benefit evaluation index matrix for a water-wind-solar-storage multi-energy complementary system; a processing module, used to obtain the subjective and objective comprehensive weight coefficients of each type of the evaluation index based on the comprehensive benefit evaluation index matrix of the water-wind-solar-storage multi-energy complementary system through tomography analysis and entropy weight method; a second construction module, used to construct a target benefit evaluation scheme optimization model based on the subjective and objective comprehensive weight coefficients; a solution module, used to solve the target benefit evaluation scheme optimization model to obtain a target comprehensive benefit evaluation scheme for the water-wind-solar-storage multi-energy complementary system.

[0011] In a third aspect, an embodiment of the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable the computer to execute a method for optimizing a comprehensive benefit evaluation scheme for a water-wind-solar-storage multi-energy complementary system as described in the first aspect of the embodiment of the present invention and any one of the first aspects.

[0012] In a fourth aspect, an embodiment of the present invention provides an electronic device, comprising: a memory and a processor, the memory and the processor being communicatively connected to each other, the memory storing computer instructions, and the processor executing the computer instructions to execute the method for finding an optimization plan for a comprehensive benefit evaluation scheme for a water-wind-solar-storage multi-energy complementary system as described in the first aspect of the embodiment of the present invention and any one of the first aspects.

[0013] The technical solution provided by the present invention has the following effects:

[0014] The method for optimizing the comprehensive benefit evaluation scheme of the water-wind-solar-storage multi-energy complementary system provided by the embodiment of the present invention constructs subjective and objective comprehensive weight coefficients based on the tomographic analysis method and the entropy weight method, which not only takes into account the subjective preferences of expert experience, but also respects the objective characteristics of the data itself; by establishing and solving the target benefit evaluation scheme optimization model, the best scheme for the comprehensive benefit evaluation of the water-wind-solar-storage multi-energy complementary system can be quickly identified. Therefore, by implementing the present invention, intelligent and rapid decision-making technical support is provided for the comparison of various installed capacity scale installation schemes and the analysis of different control and operation schemes of the water-wind-solar-storage multi-energy complementary system. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0016] Figure 1 This is a flow chart of a method for optimizing a comprehensive benefit evaluation scheme for a water-wind-solar-storage multi-energy complementary system provided in accordance with an embodiment of the present invention;

[0017] Figure 2 2. It is a schematic diagram of comprehensive benefit evaluation index types of a water-wind-solar-storage multi-energy complementary system provided according to an embodiment of the present invention;

[0018] Figure 3 It is a structural block diagram of a comprehensive benefit evaluation scheme optimization device for a water-wind-solar-storage multi-energy complementary system provided according to an embodiment of the present invention;

[0019] Figure 4 is a schematic diagram of the structure of a computer-readable storage medium provided according to an embodiment of the present invention;

[0020] Figure 5 It is a schematic diagram of the structure of an electronic device provided according to an embodiment of the present invention. DETAILED DESCRIPTION

[0021] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are 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 those skilled in the art without creative work are within the scope of protection of the present invention.

[0022] The embodiment of the present invention provides a method for optimizing a comprehensive benefit evaluation scheme for a water-wind-solar-storage multi-energy complementary system. Figure 1As shown, the method comprises the following steps:

[0023] Step 101: Construct a comprehensive benefit evaluation index matrix for the hydro-wind-solar-storage multi-energy complementary system.

[0024] Specifically, a 12-category evaluation index system was constructed from four aspects: economic benefit, technical benefit, social benefit and environmental benefit (e.g. Figure 2 Comprehensive benefit evaluation index matrix of water, wind, solar and storage multi-energy complementary system (as shown in the figure):

[0025] 1a) Economic Benefits

[0026] The economic benefit indicators are based on the financial analysis of the hydro-wind-solar-storage multi-energy complementary system project, including the net annual value E1, investment income E2, internal rate of return E3, and considering the hydro-wind-solar-storage multi-energy complementary system participating in auxiliary services in the power market environment to obtain income E4.

[0027] Among them, the net annual value E1 is the net present value of the water-wind-solar-storage multi-energy complementary system allocated to the equal annual value of each year during the life of the system project, which is the annual income within the investment year. Its expression is shown in relational formula (1):

[0028]

[0029] Where: n s represents the design engineering life of the water-wind-solar-storage multi-energy complementary system; j represents the jth year within the design engineering life; i o represents the discount rate; i represents the base discount rate; (A / P, i o ,n s ) represents the capital recovery coefficient; CI(j) represents the cash inflow in the jth year; CO(j) represents the cash outflow in the jth year.

[0030] Furthermore, CI(j) mainly includes normal electricity sales revenue and equipment residual value, and its expression is shown in equation (2):

[0031]

[0032] Where: B s Represents the residual value of the equipment in the water-wind-solar-storage multi-energy complementary system project; B p (j) represents the electricity sales revenue in the jth year.

[0033] The cash outflow part CO(j) includes the initial construction investment cost, operation and maintenance cost, and equipment renewal cost, and its expression is shown in equation (3):

[0034] CO(j)=C0+C M (j)+C B (j) (3)

[0035] Where: C0 represents the initial investment; C M (j) represents the operation and maintenance cost of power generation equipment in the jth year; C B (j) represents the cost of updating power generation equipment in the jth year.

[0036] The investment income E2 is the profitability of the hydro-wind-solar-storage multi-energy complementary system project, which is expressed as the ratio of net income to total investment in a normal year, as shown in equation (4):

[0037]

[0038] Where: NB represents the annual profit before interest and tax in a normal year; K s It represents the total investment in the water, wind, solar and storage multi-energy complementary system project, specifically including working capital, construction investment, and loan interest during the construction period.

[0039] The internal rate of return E3 is the rate of return on investment of the investment operator for the hydro-wind-solar-storage multi-energy complementary system project, and the expression is shown in equation (5):

[0040]

[0041] The income from ancillary services E4 is the income obtained by the energy storage equipment in the water-wind-solar-storage multi-energy complementary system from participating in a series of ancillary services in the power market environment. Its expression is shown in equation (6):

[0042] EC4=E4=E 41 +E 42 +E 43 +E 44 +E 45 (6)

[0043] Where: E 41 represents the peak-shaving benefit of the water-wind-solar-storage multi-energy complementary system; E 42 E represents the frequency regulation compensation of the water, wind, solar and storage multi-energy complementary system; 43 E represents the phase adjustment benefit of the water-wind-solar-storage multi-energy complementary system; 44 E represents the reserve service income of the water-wind-solar-storage multi-energy complementary system; 45 It represents the black start benefit of the water, wind, solar and storage multi-energy complementary system. The specific calculation method of the benefit refers to the power market policies of various regions.

[0044] 1b) Technical Benefits

[0045] The operation of the water, wind, solar and storage multi-energy complementary system can achieve mutual complementation of power generation of multiple energy types, improve the level of clean energy utilization and the operation efficiency of the power system, and reduce the pressure of new energy power consumption. Therefore, the technical benefits of the water, wind, solar and storage multi-energy complementary system mainly consider four indicators: output stability T1, degree of complementarity T2, active control effect T3 and energy utilization rate T4.

[0046] Among them, the output stability T1 represents the stability index of the output power of the wind, solar, water and storage single system. After the wind and solar are connected to the system, the greater the fluctuation, the greater the negative impact on the power grid. At the same time, the rapid change of the output power of water and storage also increases the difficulty of system regulation. It is necessary to evaluate the stability of the output power of wind, solar, water and storage energy. The specific expression is shown in relation (7):

[0047]

[0048] Where: i represents the i-th energy source, which are wind, light, water, and storage; t ik represents the output change of the i-th energy within the sampling unit time k; K represents the total number of points in the sampling time scale; P iN Represents the output power rating of the i-th energy source.

[0049] Among them, the smaller the value of output stability T1, the smaller the output power fluctuation of the water-wind-solar-storage multi-energy complementary system, and the better the stability.

[0050] The degree of complementarity T2 is used to measure the complementary ability of the water-wind-solar-storage multi-energy complementary system. It can quantitatively evaluate the power fluctuation after the superposition of wind, solar, water and storage output power. The specific expression is shown in equation (8):

[0051]

[0052] Among them, the smaller the value of the complementarity degree T2, the higher the complementarity degree of the water-wind-solar-storage multi-energy complementary system. When its value is equal to 0, the changes in various energy sources offset each other and achieve complete complementarity.

[0053] The active power control effect T3 evaluates the tracking effect of the actual output power of the hydro-wind-solar-storage multi-energy complementary system on the planned output power, which means the degree of power deviation. The specific expression is shown in equation (9):

[0054]

[0055] Where: P tol (k) represents the actual output power of the water-wind-solar-storage multi-energy complementary system within unit time k; P ref (k) represents the planned output power of the water-wind-solar-storage multi-energy complementary system within unit time k.

[0056] Among them, the smaller the value of the active control effect T3 is, the closer the tracking of the planned output power is, and the stronger the system power regulation capability is.

[0057] The energy utilization rate T4 represents the utilization rate of water, wind and light resources by the water-wind-solar-storage multi-energy complementary system, and its expression is shown in equation (10):

[0058]

[0059] Where: P i (k) represents the actual power generation of wind, solar and water in the water-wind-solar-storage multi-energy complementary system within unit time k; P in (k) represents the available power generation of wind, light and water in the water-wind-solar-storage multi-energy complementary system within unit time k.

[0060] Among them, the greater the energy utilization rate T4, the less water, wind and light will be abandoned in the water, wind, solar and storage multi-energy complementary system, and the less resource waste.

[0061] 1c) Social Benefits

[0062] Social benefits consider two indicators: project demonstration benefit S1 and regional economic impact level S2. The water, wind, solar and storage multi-energy complementary project has significant demonstration benefits due to the use of new technologies and new standards.

[0063] The expression of project demonstration benefit S1 is shown in equation (11):

[0064]

[0065] Where: P s It represents the demonstration benefits brought by the completion of the water-wind-solar-storage multi-energy complementary project; P Z Represents the local economic benefits during the same period.

[0066] The construction, maintenance and operation of the water-wind-solar-storage multi-energy complementary project can promote development and infrastructure construction. The development of new energy can solve energy consumption and supply needs and reduce energy investment costs. The regional economic impact level S2 is used to reflect the impact of the water-wind-solar-storage multi-energy complementary system on the local economy. Its expression is shown in equation (12):

[0067]

[0068] Where: P P It represents the economic benefits of the hydro-wind-solar-storage multi-energy complementary project in the year after its completion.

[0069] 1d) Environmental benefits

[0070] As a combined power generation method of green energy, the water, wind, solar and storage multi-energy complementary system achieves good energy-saving and emission reduction effects by integrating clean energy, improving the power generation structure, and reducing carbon emissions. It has greatly reduced the emissions of pollutant gases, greenhouse gases and other wastes and has high environmental benefits. Therefore, the environmental benefits adopt two indicators: pollutant emission reduction N1 and coal saving benefit N2.

[0071] Among them, the expression of pollutant emission reduction N1 is shown in equation (13):

[0072]

[0073] Where: E s It represents the amount of water, wind and solar power output by the water, wind, solar and storage multi-energy complementary system in one year; L F , They represent the amount of smoke, carbon dioxide, sulfur dioxide and nitrogen oxides that can be reduced per kilowatt-hour of electricity in the water-wind-solar-storage multi-energy complementary system, in kg; C F , They represent the control costs per kg of smoke, carbon dioxide, sulfur dioxide and nitrogen oxides respectively.

[0074] The expression of coal saving benefit N2 is shown in equation (14):

[0075] EC 12 =N2=E ts L M C M (14)

[0076] Where: E ts Indicates the amount of electricity generated by the water, wind, solar and storage multi-energy complementary system in one year; L M Indicates the amount of coal consumed by conventional thermal power units to produce unit electricity; C M Indicates the price per unit of coal.

[0077] According to the above 12 types of evaluation indicators, the M schemes to be evaluated related to the planning and operation of the water-wind-solar-storage multi-energy complementary system are evaluated one by one, and then the comprehensive benefit evaluation indicator matrix of the water-wind-solar-storage multi-energy complementary system is formed as shown in equation (15):

[0078]

[0079] Where: represents the i-th evaluation index of the k-th scheme to be evaluated; N represents the total number of evaluation indicators, that is, the value is 12; M represents the total number of schemes to be evaluated in the planning or operation of the water-wind-solar-storage multi-energy complementary system.

[0080] Step 102: Based on the comprehensive benefit evaluation index matrix of the water-wind-solar-storage multi-energy complementary system, the subjective and objective comprehensive weight coefficients of each evaluation index are obtained through tomography analysis and entropy weight method.

[0081] Among them, the tomography analysis method is a process of modeling and quantifying the decision-making thinking process of decision makers on complex systems; the entropy weight method is an objective weighting method. In the specific use process, the entropy weight of each indicator is calculated based on the degree of data dispersion of each indicator using information entropy, and then the entropy weight is corrected according to each indicator to obtain a more objective indicator weight.

[0082] Therefore, using the tomography analysis method and the entropy weight method, the subjective and objective comprehensive weight coefficients of each type of evaluation index can be calculated, and this processing process not only takes into account the subjective preferences of expert experience, but also respects the objective characteristics of the data itself.

[0083] Step 103: constructing a target benefit evaluation scheme optimization model based on the subjective and objective comprehensive weight coefficients.

[0084] Specifically, the subjective and objective comprehensive weight coefficient can reflect the importance of each type of evaluation index in each benefit evaluation scheme. Therefore, a target benefit evaluation scheme optimization model can be constructed based on the subjective and objective comprehensive weight coefficient.

[0085] Step 104: Solve the target benefit evaluation scheme optimization model to obtain a target comprehensive benefit evaluation scheme for the hydro-wind-solar-storage multi-energy complementary system.

[0086] Specifically, according to the description of step 103, the target comprehensive benefit evaluation scheme of the hydro-wind-solar-storage multi-energy complementary system can be obtained by solving the target benefit evaluation scheme optimization model.

[0087] The method for optimizing the comprehensive benefit evaluation scheme of the water-wind-solar-storage multi-energy complementary system provided by the embodiment of the present invention constructs subjective and objective comprehensive weight coefficients based on the tomographic analysis method and the entropy weight method, which not only takes into account the subjective preferences of expert experience, but also respects the objective characteristics of the data itself; by establishing and solving the target benefit evaluation scheme optimization model, the best scheme for the comprehensive benefit evaluation of the water-wind-solar-storage multi-energy complementary system can be quickly identified. Therefore, by implementing the present invention, intelligent and rapid decision-making technical support is provided for the comparison of various installed capacity scale installation schemes and the analysis of different control and operation schemes of the water-wind-solar-storage multi-energy complementary system.

[0088] As an optional implementation manner of an embodiment of the present invention, step 102 includes: based on the comprehensive benefit evaluation index matrix of the water-wind-solar-storage multi-energy complementary system, obtaining the subjective weight coefficient of each type of the evaluation index through tomography analysis method processing; based on the comprehensive benefit evaluation index matrix of the water-wind-solar-storage multi-energy complementary system, standardizing each type of evaluation index in each comprehensive benefit to be evaluated scheme of the water-wind-solar-storage multi-energy complementary system, and obtaining the standardized processing result of the comprehensive benefit evaluation index matrix of the water-wind-solar-storage multi-energy complementary system; based on the standardized processing result of the comprehensive benefit evaluation index matrix of the water-wind-solar-storage multi-energy complementary system, obtaining the objective weight coefficient of each type of the evaluation index through entropy weight method processing; determining the split ratio of the subjective weight coefficient and the objective weight coefficient; determining the subjective and objective comprehensive weight coefficient of each type of the evaluation index based on the subjective weight coefficient, the objective weight coefficient and the split ratio.

[0089] First, based on the 12 types of evaluation indicators in the comprehensive benefit evaluation indicator matrix of the water-wind-solar-storage multi-energy complementary system described in step 101, a relative importance judgment matrix of each layer is constructed according to the advice of the first expert, and the consistency check of the relative importance judgment matrix is ​​performed; further, the evaluation matrix and weight vector of multiple experts can be obtained; finally, a similarity coefficient matrix is ​​constructed, the weight coefficient with the largest deviation is deleted, and the average value of the remaining weight coefficients is calculated to obtain the subjective weight coefficient ωc=(ωc1,…,ωc i ,…,ωc N ).

[0090] Secondly, according to the comprehensive benefit evaluation index matrix of the hydro-wind-solar-storage multi-energy complementary system as shown in equation (15), the N types of evaluation indicators (i.e., N=12) in the M comprehensive benefit evaluation schemes of the hydro-wind-solar-storage multi-energy complementary system are standardized.

[0091] Among them, except output stability T1, complementary degree T2, active power control effect T3 which are cost-type indicators (i.e., i=5, 6, 7), the rest are benefit-type indicators.

[0092] The standardization process of benefit-based and cost-based indicators is as follows:

[0093] The standardization of benefit-based indicators is shown in equation (16):

[0094]

[0095] The standardization of cost-based indicators is shown in equation (17):

[0096]

[0097] In the above equations (16) and (17): represents the standardized processing result of the i-th evaluation index of the k-th comprehensive benefit evaluation scheme of the water-wind-solar-storage multi-energy complementary system; It represents the maximum value of the i-th evaluation index among all the comprehensive benefit evaluation schemes of the wind-solar-storage multi-energy complementary system waiting for water; It represents the minimum value of the i-th evaluation index among all the comprehensive benefit evaluation schemes of the wind-solar-storage multi-energy complementary system waiting for water.

[0098] Among them, when i=5, 6, and 7, the standardized processing method of cost-based indicators is adopted, and the standardized processing method of benefit-based indicators is adopted for the others.

[0099] The standardized processing result of the comprehensive benefit evaluation index matrix of the hydro-wind-solar-storage multi-energy complementary system is shown in equation (18):

[0100]

[0101] Then, based on the standardized processing results of the comprehensive benefit evaluation index matrix of the hydro-wind-solar-storage multi-energy complementary system, the objective weight coefficient of each type of evaluation index is obtained by calculating the information entropy value of each type of evaluation index, as shown in formula (21):

[0102]

[0103] Where: ws i represents the objective weight coefficient of the i-th evaluation index; H i Represents the information entropy value of the i-th evaluation index:

[0104] Further, determining the split ratio λ of the subjective weight coefficient and the objective weight coefficient;

[0105] Finally, the subjective and objective comprehensive weight coefficient of each type of evaluation index can be calculated based on the subjective weight coefficient, the objective weight coefficient and the split ratio λ, as shown in equation (20):

[0106] ω i =λ×ωc i +(1-λ)×ωs i (20)

[0107] Where: i represents the subjective and objective comprehensive weight coefficient of the i-th evaluation index; ωc i represents the subjective weight coefficient of the i-th evaluation index; λ represents the division ratio of subjective and objective weight coefficients.

[0108] As an optional implementation manner of the embodiment of the present invention, step 103 includes: obtaining the relative superiority of each of the comprehensive benefit schemes to be evaluated for the water-wind-solar-storage multi-energy complementary system; calculating the overall comprehensive distance and weighted superior distance of each of the comprehensive benefit schemes to be evaluated for the water-wind-solar-storage multi-energy complementary system; determining the first objective function based on the overall comprehensive distance; determining the second objective function based on the weighted superior distance; based on the split ratio and the relative superiority, through the first objective function and the second objective function, constructing a target benefit evaluation scheme optimization model.

[0109] Among them, the overall comprehensive distance and weighted distance to the best of the three distances of each of the comprehensive benefit evaluation schemes of the water-wind-solar-storage multi-energy complementary system are calculated, including: calculating the weighted distance to the best of the three distances and the weighted distance to the worst of the three distances based on the subjective and objective comprehensive weight coefficients and the standardized processing results; calculating the overall comprehensive distance based on the weighted distance to the best of the three distances and the weighted distance to the worst of the three distances.

[0110] First, based on the subjective and objective comprehensive weight coefficient ω i And standardization results The corresponding weighted optimal distance can be calculated using the following relationship (21):

[0111]

[0112] Where: DB k represents the weighted optimal distance of the comprehensive benefit evaluation schemes of k water-wind-solar-storage multi-energy complementary systems; u k It represents the relative superiority of the comprehensive benefit of the k-th hydro-wind-solar-storage multi-energy complementary system to be evaluated;

[0113] The weighted inferior distance is calculated using equation (22):

[0114]

[0115] Where: DW k represents the weighted inferiority distance of the comprehensive benefit of k water-wind-solar-storage multi-energy complementary systems to be evaluated;

[0116] Secondly, the objective function includes minimizing the overall comprehensive distance of all solutions (the first objective function) and maximizing the number of solutions with a close distance to the optimal solution (the second objective function), as shown in equations (23) and (24), respectively:

[0117]

[0118]

[0119] Among them, (DB k ) 2 +(DWk ) 2 It represents the overall comprehensive distance of the comprehensive benefit evaluation schemes of k water-wind-solar-storage multi-energy complementary systems;

[0120] Finally, the segmentation ratio and relative superiority (λ,u1,…,u k …,u M ) as the optimization variable, after optimizing the first objective function and the second objective function, the corresponding target benefit evaluation scheme optimization model can be constructed. Among them, the value range of the split ratio and the relative superiority is [0,1].

[0121] As an optional implementation of the embodiment of the present invention, step 104 includes: based on the first objective function and the second objective function, a non-inferior solution set is obtained through multi-objective heuristic intelligent optimization algorithm processing; an optimal segmentation ratio and an optimal relative superiority degree are determined in the non-inferior solution set in combination with the decision maker's preference; an optimal subjective and objective comprehensive weight coefficient is determined based on the optimal segmentation ratio; an optimal overall comprehensive distance is determined based on the optimal relative superiority degree, the optimal subjective and objective comprehensive weight coefficient and the standardized processing result;

[0122] Based on the optimal overall comprehensive distance, a comprehensive benefit evaluation plan for the target water-wind-solar-storage multi-energy complementary system is determined.

[0123] Among them, the multi-objective heuristic intelligent optimization algorithm can be NSGA-2, PA-DDS and other intelligent optimization algorithms; the non-inferior solution set reflects the solution set of the comprehensive benefit evaluation scheme of the water-wind-solar-storage multi-energy complementary system that simultaneously satisfies the first objective function and the second objective function.

[0124] Specifically, the multi-objective heuristic intelligent optimization algorithm can be used to obtain the Pareto non-inferior solution set, and the optimal split ratio and the optimal relative superiority degree can be selected from the non-inferior solution set according to the decision maker's preference. Among them, λ * represents the optimal split ratio; It represents the best relative superiority of the k-th comprehensive benefit evaluation scheme of the water-wind-solar-storage multi-energy complementary system;

[0125] Further, the optimal comprehensive distance of each solution is calculated As shown in equation (25):

[0126]

[0127] Where: Represents the best subjective and objective comprehensive weight coefficient; Indicates the best relative superiority; Indicates the result of standardization processing; represents the optimal weighted distance, which can be calculated according to equation (21); represents the optimal weighted distance to inferiority, which can be calculated according to equation (22); represents the best overall comprehensive distance.

[0128] Furthermore, the one with the smallest optimal comprehensive distance is selected as the final recommended scheme, that is, the comprehensive benefit evaluation scheme of the target hydro-wind-solar-storage multi-energy complementary system, as shown in equation (26):

[0129]

[0130] Where: Best k It indicates that the kth comprehensive benefit evaluation scheme of the water-wind-solar-storage multi-energy complementary system is the final recommended scheme.

[0131] The method for optimizing the comprehensive benefit evaluation scheme of the water-wind-solar-storage multi-energy complementary system provided by the above-mentioned embodiment, on the one hand, constructs the subjective and objective comprehensive weight coefficients based on the tomography analysis method-entropy weight method, which takes into account the subjective preferences of expert experience and respects the objective characteristics of the data itself. By establishing an optimal benefit evaluation scheme optimization model and using a multi-objective intelligent heuristic algorithm for solving it, the optimal proportion of subjective and objective weight coefficients can be intelligently obtained, and the optimal scheme for the comprehensive benefit evaluation of the water-wind-solar-storage multi-energy complementary system can be quickly identified. The present invention provides intelligent and rapid decision-making technical support for the comparison of various installed capacity scale installation schemes and the analysis of different control and operation schemes for the water-wind-solar-storage multi-energy complementary system.

[0132] The embodiment of the present invention also provides a device for optimizing the comprehensive benefit evaluation scheme of a water-wind-solar-storage multi-energy complementary system. Figure 3 As shown, the device comprises:

[0133] The first construction module 301 is used to construct a comprehensive benefit evaluation index matrix for a water-wind-solar-storage multi-energy complementary system; for details, see the relevant description of step 101 in the above method embodiment.

[0134] Processing module 302 is used to obtain the subjective and objective comprehensive weight coefficients of each type of evaluation index based on the comprehensive benefit evaluation index matrix of the water-wind-solar-storage multi-energy complementary system through tomography analysis and entropy weight method; for details, please refer to the relevant description of step 102 in the above method embodiment.

[0135] The second construction module 303 is used to construct a target benefit evaluation scheme optimization model based on the subjective and objective comprehensive weight coefficients; for details, please refer to the relevant description of step 103 in the above method embodiment.

[0136] The solution module 304 is used to solve the target benefit evaluation scheme optimization model to obtain the target comprehensive benefit evaluation scheme of the hydro-wind-solar-storage multi-energy complementary system; for details, please refer to the relevant description of step 104 in the above method embodiment.

[0137] The device for optimizing the comprehensive benefit evaluation scheme of the water-wind-solar-storage multi-energy complementary system provided by the embodiment of the present invention constructs a subjective and objective comprehensive weight coefficient based on the tomographic analysis method and the entropy weight method, which not only takes into account the subjective preference of expert experience, but also respects the objective characteristics of the data itself; by establishing and solving the target benefit evaluation scheme optimization model, the best scheme for the comprehensive benefit evaluation of the water-wind-solar-storage multi-energy complementary system can be quickly identified. Therefore, by implementing the present invention, intelligent and rapid decision-making technical support is provided for the comparison of various installed capacity scale installation schemes and the analysis of different control and operation schemes of the water-wind-solar-storage multi-energy complementary system.

[0138] As an optional implementation manner of an embodiment of the present invention, the processing module includes: a first processing submodule, which is used to obtain the subjective weight coefficient of each type of the evaluation index based on the comprehensive benefit evaluation index matrix of the water-wind-solar-storage multi-energy complementary system through tomography analysis; a second processing submodule, which is used to standardize each type of evaluation index in each comprehensive benefit to be evaluated scheme of the water-wind-solar-storage multi-energy complementary system based on the comprehensive benefit evaluation index matrix of the water-wind-solar-storage multi-energy complementary system, and obtain the standardized processing result of the comprehensive benefit evaluation index matrix of the water-wind-solar-storage multi-energy complementary system; a third processing submodule, which is used to obtain the objective weight coefficient of each type of the evaluation index based on the standardized processing result of the comprehensive benefit evaluation index matrix of the water-wind-solar-storage multi-energy complementary system through entropy weight method; a first determination submodule, which is used to determine the split ratio of the subjective weight coefficient and the objective weight coefficient; a second determination submodule, which is used to determine the subjective and objective comprehensive weight coefficient of each type of the evaluation index based on the subjective weight coefficient, the objective weight coefficient and the split ratio.

[0139] As an optional implementation manner of the present invention, the second construction module includes: a first acquisition submodule, used to obtain the relative superiority of each of the comprehensive benefit schemes to be evaluated for the water-wind-solar-storage multi-energy complementary system; a first calculation submodule, used to calculate the overall comprehensive distance and weighted superior distance of each of the comprehensive benefit schemes to be evaluated for the water-wind-solar-storage multi-energy complementary system; a first determination submodule, used to determine the first objective function based on the overall comprehensive distance; a second determination submodule, used to determine the second objective function based on the weighted superior distance; a first construction submodule, used to construct a target benefit evaluation scheme optimization model based on the split ratio and the relative superiority, through the first objective function and the second objective function.

[0140] As an optional implementation of an embodiment of the present invention, the first calculation submodule includes: a second calculation submodule, used to calculate the weighted superior distance and the weighted inferior distance based on the subjective and objective comprehensive weight coefficient and the standardized processing result; a third calculation submodule, used to calculate the overall comprehensive distance based on the weighted superior distance and the weighted inferior distance.

[0141] As an optional implementation manner of the embodiment of the present invention, the solution module includes: a fourth processing submodule, which is used to obtain a non-inferior solution set based on the first objective function and the second objective function through a multi-objective heuristic intelligent optimization algorithm, and the non-inferior solution set reflects a solution set of comprehensive benefit evaluation schemes for a water-wind-solar-storage multi-energy complementary system that simultaneously satisfies the first objective function and the second objective function; a third determination submodule, which is used to determine the optimal splitting ratio and the optimal relative superiority in the non-inferior solution set in combination with the decision maker's preference; a fourth determination submodule, which is used to determine the optimal subjective and objective comprehensive weight coefficient based on the optimal splitting ratio; a fifth determination submodule, which is used to determine the optimal overall comprehensive distance based on the optimal relative superiority, the optimal subjective and objective comprehensive weight coefficient and the standardized processing result; and a sixth determination submodule, which is used to determine a target comprehensive benefit evaluation scheme for a water-wind-solar-storage multi-energy complementary system based on the optimal overall comprehensive distance.

[0142] For a detailed functional description of the device for finding an optimization plan for a comprehensive benefit evaluation scheme for a water-wind-solar-storage multi-energy complementary system provided in an embodiment of the present invention, please refer to the description of the method for finding an optimization plan for a comprehensive benefit evaluation scheme for a water-wind-solar-storage multi-energy complementary system in the above embodiment.

[0143] The embodiment of the present invention also provides a storage medium, such as Figure 4 As shown, a computer program 401 is stored thereon, and when the instruction is executed by the processor, the steps of the method for optimizing the comprehensive benefit evaluation scheme of the water-wind-solar-storage multi-energy complementary system in the above embodiment are implemented. Among them, the storage medium can be a disk, an optical disk, a read-only memory (ROM), a random access memory (RAM), a flash memory (Flash Memory), a hard disk (HDD) or a solid-state drive (SSD), etc.; the storage medium can also include a combination of the above types of memory.

[0144] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program, and the program can be stored in a computer-readable storage medium, and when the program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, the storage medium can be a disk, an optical disk, a read-only memory (ROM), a random access memory (RAM), a flash memory, a hard disk (HDD) or a solid-state drive (SSD), etc.; the storage medium can also include a combination of the above-mentioned types of memory.

[0145] The embodiment of the present invention further provides an electronic device, such as Figure 5 As shown, the electronic device may include a processor 51 and a memory 52, wherein the processor 51 and the memory 52 may be connected via a bus or other means. Figure 5 The example of connecting through bus is taken in the following.

[0146] The processor 51 may be a central processing unit (CPU). The processor 51 may also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or a combination of the above chips.

[0147] The memory 52 is a non-transient computer-readable storage medium that can be used to store non-transient software programs, non-transient computer executable programs and modules, such as the corresponding program instructions / modules in the embodiment of the present invention. The processor 51 executes various functional applications and data processing of the processor by running the non-transient software programs, instructions and modules stored in the memory 52, that is, to implement the comprehensive benefit evaluation scheme optimization method of the water-wind-solar-storage multi-energy complementary system in the above method embodiment.

[0148] The memory 52 may include a program storage area and a data storage area, wherein the program storage area may store an application required for operating the device and at least one function; the data storage area may store data created by the processor 51, etc. In addition, the memory 52 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one disk storage device, a flash memory device, or other non-volatile solid-state storage device. In some embodiments, the memory 52 may optionally include a memory remotely arranged relative to the processor 51, and these remote memories may be connected to the processor 51 via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0149] The one or more modules are stored in the memory 52 and when executed by the processor 51, perform the following steps: Figure 1-2 A method for optimizing a comprehensive benefit evaluation scheme for a water-wind-solar-storage multi-energy complementary system in the illustrated embodiment.

[0150] For details of the above electronic equipment, please refer to Figure 1 to Figure 2 The corresponding related descriptions and effects in the illustrated embodiments can be understood and will not be repeated here.

[0151] Although the embodiments of the present invention have been described in conjunction with the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the present invention, and such modifications and variations are all within the scope defined by the appended claims.

Claims

1. A method for optimizing the comprehensive benefit evaluation scheme of a water-wind-solar-storage multi-energy complementary system, characterized in that: The method comprises: Construct a comprehensive benefit evaluation index matrix for the water-wind-solar-storage multi-energy complementary system, which includes 12 types of evaluation indicators corresponding to the four aspects of economic benefit, technical benefit, social benefit and environmental benefit; Based on the comprehensive benefit evaluation index matrix of the water-wind-solar-storage multi-energy complementary system, the subjective and objective comprehensive weight coefficients of each type of evaluation index are obtained through tomographic analysis and entropy weight method processing; Constructing a target benefit evaluation scheme optimization model based on the subjective and objective comprehensive weight coefficients; Solve the optimization model of the target benefit evaluation scheme to obtain a comprehensive benefit evaluation scheme for the target water-wind-solar-storage multi-energy complementary system; Among them, based on the comprehensive benefit evaluation index matrix of the water-wind-solar-storage multi-energy complementary system, after tomographic analysis and entropy weight method processing, the subjective and objective comprehensive weight coefficients of each type of evaluation index are obtained, including: Based on the comprehensive benefit evaluation index matrix of the water-wind-solar-storage multi-energy complementary system, the subjective weight coefficient of each type of evaluation index is obtained through tomographic analysis; Based on the comprehensive benefit evaluation index matrix of the water-wind-solar-storage multi-energy complementary system, each type of evaluation index in each comprehensive benefit evaluation scheme of the water-wind-solar-storage multi-energy complementary system is standardized to obtain the standardized processing result of the comprehensive benefit evaluation index matrix of the water-wind-solar-storage multi-energy complementary system; Based on the standardized processing results of the comprehensive benefit evaluation index matrix of the water-wind-solar-storage multi-energy complementary system, the objective weight coefficient of each type of evaluation index is obtained through entropy weight method processing; Determining a split ratio of the subjective weight coefficient and the objective weight coefficient; Determine the subjective and objective comprehensive weight coefficient of each type of the evaluation index based on the subjective weight coefficient, the objective weight coefficient and the split ratio; Among them, based on the comprehensive benefit evaluation index matrix of the water-wind-solar-storage multi-energy complementary system, after tomographic analysis, the subjective weight coefficient of each type of evaluation index is obtained, including: Based on the comprehensive benefit evaluation index matrix of the water-wind-solar-storage multi-energy complementary system, a relative importance judgment matrix of each layer is constructed according to the advice of the first expert, and the relative importance judgment matrix is ​​checked for consistency to obtain the evaluation matrix and weight vector of multiple experts; a similarity coefficient matrix is ​​constructed according to the evaluation matrix and weight vector of multiple experts; after deleting the weight coefficient with the largest deviation in the similarity coefficient matrix, the average value of the remaining weight coefficients is calculated to obtain the subjective weight coefficient of each indicator calculated based on the hierarchical analysis method; The subjective and objective comprehensive weight coefficient is expressed as the following relational formula: Where: Indicates The subjective and objective comprehensive weight coefficient of the class evaluation index; Indicates Subjective weight coefficient of class evaluation index; Indicates the split ratio of subjective and objective weight coefficients; Indicates Objective weight coefficient of class evaluation index; The target benefit evaluation scheme optimization model is solved to obtain the target water-wind-solar-storage multi-energy complementary system comprehensive benefit evaluation scheme, including: Based on the first objective function and the second objective function, a non-inferior solution set is obtained after being processed by a multi-objective heuristic intelligent optimization algorithm. The first objective function represents the minimization of the overall comprehensive distance of all solutions, and the second objective function represents the maximization of the number of solutions with a short distance to the optimal solution. The non-inferior solution set reflects the solution set of the comprehensive benefit evaluation scheme of the water-wind-solar-storage multi-energy complementary system that simultaneously satisfies the first objective function and the second objective function. Determine the best split ratio and the best relative superiority in the non-inferior solution set in combination with the decision maker's preference; Determining an optimal subjective and objective comprehensive weight coefficient based on the optimal segmentation ratio; Determine the best overall comprehensive distance based on the best relative superiority, the best subjective and objective comprehensive weight coefficient and the standardized processing result; Based on the optimal overall comprehensive distance, a comprehensive benefit evaluation plan for the target water-wind-solar-storage multi-energy complementary system is determined.

2. The method according to claim 1, characterized in that Based on the subjective and objective comprehensive weight coefficients, a target benefit evaluation scheme optimization model is constructed, including: Obtaining the relative superiority of each of the comprehensive benefit evaluation schemes of the water-wind-solar-storage multi-energy complementary system; Calculate the overall comprehensive distance and weighted optimal distance of each of the comprehensive benefit evaluation schemes of the water-wind-solar-storage multi-energy complementary system; Determining a first objective function based on the overall comprehensive distance; Determining a second objective function based on the weighted optimal distance; Based on the split ratio and the relative superiority, through the first objective function and the second objective function, a target benefit evaluation scheme optimization model is constructed.

3. The method according to claim 2, characterized in that Calculate the overall comprehensive distance and weighted optimal distance of each of the comprehensive benefit evaluation schemes of the water-wind-solar-storage multi-energy complementary system, including: Calculating the weighted superior distance and the weighted inferior distance based on the subjective and objective comprehensive weight coefficient and the standardized processing result; The overall comprehensive distance is calculated based on the weighted superior distance and the weighted inferior distance.

4. A device for optimizing the comprehensive benefit evaluation scheme of a water, wind, solar and storage multi-energy complementary system, characterized in that: The device comprises: The first construction module is used to construct a comprehensive benefit evaluation index matrix for the water-wind-solar-storage multi-energy complementary system, wherein the comprehensive benefit evaluation index matrix for the water-wind-solar-storage multi-energy complementary system includes 12 types of evaluation indicators corresponding to the four aspects of economic benefit, technical benefit, social benefit and environmental benefit; A processing module is used to obtain the subjective and objective comprehensive weight coefficients of each type of the evaluation index based on the comprehensive benefit evaluation index matrix of the water-wind-solar-storage multi-energy complementary system through tomography analysis and entropy weight method; The second construction module is used to construct a target benefit evaluation scheme optimization model based on the subjective and objective comprehensive weight coefficients; A solution module, used to solve the optimization model of the target benefit evaluation scheme to obtain a comprehensive benefit evaluation scheme for the target water-wind-solar-storage multi-energy complementary system; Wherein, the processing module includes: The first processing submodule is used to obtain the subjective weight coefficient of each type of evaluation index based on the comprehensive benefit evaluation index matrix of the water-wind-solar-storage multi-energy complementary system through tomography analysis; the second processing submodule is used to standardize each type of evaluation index in each comprehensive benefit to-be-evaluated scheme of the water-wind-solar-storage multi-energy complementary system based on the comprehensive benefit evaluation index matrix of the water-wind-solar-storage multi-energy complementary system, and obtain the standardized processing result of the comprehensive benefit evaluation index matrix of the water-wind-solar-storage multi-energy complementary system; the third processing submodule is used to obtain the objective weight coefficient of each type of evaluation index based on the standardized processing result of the comprehensive benefit evaluation index matrix of the water-wind-solar-storage multi-energy complementary system through entropy weight method processing; the first determination submodule is used to determine the split ratio of the subjective weight coefficient and the objective weight coefficient; the second determination submodule is used to determine the subjective and objective comprehensive weight coefficient of each type of evaluation index based on the subjective weight coefficient, the objective weight coefficient and the split ratio; Among them, the first processing submodule is specifically used for: based on the comprehensive benefit evaluation index matrix of the water-wind-solar-storage multi-energy complementary system, constructing the relative importance judgment matrix of each layer according to the advice of the first expert, and performing consistency check on the relative importance judgment matrix to obtain the evaluation matrix and weight vector of multiple experts; constructing a similarity coefficient matrix according to the evaluation matrix and weight vector of multiple experts; after deleting the weight coefficient with the largest deviation in the similarity coefficient matrix, calculating the average value of the remaining weight coefficients, and obtaining the subjective weight coefficients of each indicator calculated based on the hierarchical analysis method; The subjective and objective comprehensive weight coefficient in the processing module is expressed as the following relational expression: Where: Indicates The subjective and objective comprehensive weight coefficient of the class evaluation index; Indicates Subjective weight coefficient of class evaluation index; Indicates the split ratio of subjective and objective weight coefficients; Indicates Objective weight coefficient of class evaluation index; The solution module comprises: A fourth processing submodule is used to obtain a non-inferior solution set based on the first objective function and the second objective function through a multi-objective heuristic intelligent optimization algorithm, wherein the first objective function represents minimization of the overall comprehensive distance of all solutions, and the second objective function represents maximization of the number of solutions with a short distance to the optimal solution, and the non-inferior solution set reflects a solution set of comprehensive benefit evaluation solutions of a water-wind-solar-storage multi-energy complementary system that simultaneously satisfies the first objective function and the second objective function; The third determination submodule is used to determine the best split ratio and the best relative superiority in the non-inferior solution set in combination with the decision maker's preference; A fourth determination submodule is used to determine an optimal subjective and objective comprehensive weight coefficient based on the optimal segmentation ratio; A fifth determination submodule, configured to determine an optimal overall comprehensive distance based on the optimal relative superiority, the optimal subjective and objective comprehensive weight coefficient, and the standardized processing result; The sixth determination submodule is used to determine the comprehensive benefit evaluation plan of the target water-wind-solar-storage multi-energy complementary system based on the optimal overall comprehensive distance.

5. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable the computer to execute the method for optimizing the comprehensive benefit evaluation scheme of the water-wind-solar-storage multi-energy complementary system as described in any one of claims 1 to 3.

6. An electronic device, characterized in that: include: A memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the method for optimizing the comprehensive benefit evaluation scheme of the water-wind-solar-storage multi-energy complementary system as described in any one of claims 1 to 3 by executing the computer instructions.

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