Method, system, equipment and medium for benefit distribution of water-wind-light integrated system

Abstract

The invention discloses a benefit distribution method, system, equipment and medium for a water-wind-light integrated system, and relates to the technical field of energy scheduling, and the method comprises the steps: building and solving a scheduling optimization model of the water-wind-light integrated system, and extracting a scheduling rule; simulation scheduling is carried out through a scheduling rule of the water-wind-light integrated system, and indexes such as on-grid energy and loss load are obtained; importing integrated operation scheduling simulation data, carrying out quantitative accounting on each benefit, calculating the benefit of independent operation of water, wind and light and any two combinations, and calculating the total benefit generated by each combination; and selecting the combination with the maximum total benefit of the benefit combination according to the total benefit, and determining distribution strategies under different benefit distribution methods by adopting different benefit distribution methods. According to the invention, a transparent and fair profit distribution scheme is provided for the multi-element main body, and the blank in the design of the existing multi-energy complementary benefit evaluation and benefit distribution mechanism is filled.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of energy scheduling, in particular to a benefit distribution method, system, device and medium of a water-wind-solar integrated system. BACKGROUND

[0002] In recent years, new energy power generation technologies represented by wind power and photovoltaic power generation have developed rapidly worldwide. New energy represented by wind power and photovoltaic power generation has entered a period of rapid expansion: as of December 2024, the cumulative installed capacity of wind power and photovoltaic power in China has reached 1.41 billion kilowatts, accounting for 42% of the total installed capacity in China. Despite this, the volatility and prediction uncertainty of wind and light output are still prominent, and high-proportion new energy grid connection still needs large-scale flexible resources to support. Making full use of the regulation capacity of hydropower and implementing water-wind-solar multi-energy complementation has become a key means to improve new energy consumption and ensure the safe and stable operation of the power grid at the current stage.

[0003] The core of the multi-energy complementary concept is to put hydropower with good regulation capacity and highly random and volatile wind and solar new energy in the same system for operation. Through the rapid climbing, daily peak shaving and cross-day storage functions of hydropower, the instantaneous gaps and surpluses of wind and light output are smoothed, thereby reducing the impact of wind and light grid connection on the power grid and improving the proportion of new energy consumption. Figure 1 A typical multi-energy complementary system structure diagram is given.

[0004] Multi-energy complementation is to complement the advantages between different energies to reduce the impact of wind and light grid connection and achieve new energy consumption. However, existing scheduling models generally imply the premise that "hydropower stations are willing to sacrifice their short-term or long-term benefits to improve the overall new energy consumption rate of the system". A large amount of practical experience shows that hydropower will cause a large loss of economic benefits in the process of regulating new energy, which cannot maintain the stability of the multi-energy complementary system, and the benefit quantification index of multi-energy complementation is relatively single, and different benefit distribution is prone to local optimization. SUMMARY

[0005] The present application aims to overcome the shortcomings of the prior art and provide a benefit distribution method, system, device and medium of a water-wind-solar integrated system to solve the problems of the prior art.

[0006] The present application specifically provides the following technical solutions: a water-wind-solar integrated system benefit distribution method, comprising the following steps: Simulate the scheduling of various types of energy in the presence of a water-wind-solar multi-energy scenario to obtain a data set containing power indicators, abandoned wind and light indicators, and load loss indicators, and select a balanced solution in the data set using membership normalization multi-attribute decision making, and form a final water-wind-solar integrated scheduling rule according to the balanced solution; Based on the scheduling rules, and for different supervisory power and economic parameters, the energy scheduling results of each type of energy combination scheme are used to quantify and calculate the benefits, and for the benefits of single operation and any two or even three energy combinations, the benefits of each combination, the multi-year average benefits and the total benefits are calculated by adding / subdividing the quantified benefits. For the synergistically operated water, wind and light energy, the energy combination with the maximum total benefit is selected, and different benefit distribution methods are used to determine the benefit distribution strategies of different combinations.

[0007] Preferably, the water, wind and light integrated system scheduling model is used to simulate the energy scheduling of various types of energy in the presence of water, wind and light multi-energy scenarios, and a data set containing power indicators, abandoned wind and light indicators and load loss indicators is obtained, wherein the establishment process of the water, wind and light integrated system scheduling model is specifically as follows: The water, wind and light integrated system scheduling model is constructed by taking the maximum total on-grid power of the water, wind and light multi-energy complementary system, the minimum abandoned wind and light new energy power, and the minimum complementary system load loss rate as the target, and taking the hydraulic constraints of each reservoir considered in the simulation scheduling process and the power constraints of each power station as the constraint function, and considering the constraints of the optimization variables in the optimization scheduling model.

[0008] Preferably, the different supervisory power and economic parameters are specifically as follows: Each hydropower station executes its own on-grid power price, wind power and photovoltaic power execute the agreed on-grid power price, and the carbon price and carbon emission coefficient of the national carbon trading market in the economic parameters are valued according to the relevant energy management policies; the dedicated power price is used for energy storage auxiliary peak shaving, and all parameters are constructed in the form of a vector with a block or time resolution.

[0009] Preferably, the energy scheduling results of each type of energy combination scheme are used to quantify and calculate the benefits, and for the benefits of single operation and any two or even three energy combinations, the benefits of each combination, the multi-year average benefits and the total benefits are calculated by adding / subdividing the quantified benefits, and the specific expressions are as follows: The power generation benefits are calculated by combining the power generation capacity of each power station type and the corresponding benchmark power price; the carbon emission reduction / carbon trading benefits are quantified by combining the actual power generation capacity and the carbon emission coefficient with the carbon trading market price of the year; the load loss power purchase cost is obtained by calculating the external power purchase amount of each combination under peak and accident conditions and using the auxiliary peak shaving power price for cost accounting; For each energy combination scheme, the benefits of each combination, the multi-year average benefits and the total benefits are calculated by adding / subdividing the quantified benefits; the specific expressions are as follows: ; ; In the formula: is the total benefit of the i-th energy combination scheme, is the multi-year average benefit of the i-th energy combination scheme, and is the total benefit of the i-th energy combination scheme. Total economic benefit of the period combination scheme, is the multi-year average benefit, is the power generation benefit of the t period, is the benefit brought by carbon trading of the t period, is the external power purchase cost of the t period; is the number of years; is the number of periods per year; is the total benefit of the t period of the n year. y is the total benefit of the t period of the n year. t is the total benefit of the t period of the n year.

[0010] Preferably, the benefit allocation method comprises: a Shapley value allocation method, a kernel method and an equal MDP method.

[0011] Preferably, the benefit allocation is performed by the Shapley value allocation method, and specifically comprises: The Shapley value is adopted to allocate the average marginal contribution of each member in all permutations of different combinations; and a specific expression is as follows: ; In the formula: is the marginal contribution of the member i to the combination S; is the benefit of the combination S ; is the benefit of the combination after excluding the member i ; The Shapley value is obtained by the average marginal contribution, and the benefit percentage allocation is obtained by the Shapley value; and a specific expression is as follows: ; ; In the formula: is the Sharply value of the member i ; n is the total number of members; is the number of members of the set S ; is the union set; is the corresponding excess profit percentage allocation of the member i ; is the Sharply value of the member j .

[0012] Preferably, the benefit allocation is performed by the kernel method, and specifically comprises: A linear inequality is established for a three-member combination, and a residual surplus vector is defined; and a specific expression is as follows: ; In the formula: For combination S surplus; For members i The assigned value of For combination S total benefits; By traversing all allocation plans, we can find the one with the largest surplus and the smallest profit. , and obtain the distribution ratio; the specific expression is: ; ; Where: is the optimal allocation solution, where For members i The optimal allocation solution for For members j The optimal allocation solution of ; For the distribution ratio.

[0013] Preferably, the benefits are distributed through the equal MDP method, specifically: Taking into account the impact of member withdrawal on the portfolio profit, the distribution is adjusted based on the relationship between changes in member interests and changes in the portfolio's excess profit. The specific expression is: ; Where: For members i MDP value; For members i The assigned value of For the benefit of the entire portfolio; For members i benefits; To remove i The combined benefits of The allocation result matrix reflects the specific distribution of the excess profits of the three members under each allocation method and their proportion in the total benefits of the portfolio.

[0014] The present invention provides a water-wind-solar integrated system benefit distribution system, comprising: The simulation module is used to simulate the dispatch of various energy sources in scenarios with multiple energy sources including hydropower, wind power, and solar power. This module obtains a data set containing electricity consumption indicators, wind power and solar power curtailment indicators, and load loss indicators. It then uses membership degree normalization to normalize multi-attribute decision-making to select the equilibrium solution in the data set and formulate the final dispatch rules for the integration of hydropower, wind power, and solar power based on the equilibrium solution. The benefit acquisition module is used to quantify various benefits based on the dispatch rules and the energy dispatch results simulated by various energy combination schemes for different supervised electricity prices and economic parameters. It also calculates the benefits of individual operation and any two- or even three-energy combinations by summing up or splitting the quantified benefits, and then calculates the various benefits, multi-year average benefits, and total benefits for the combination. The distribution module is used for selecting the energy combination with the maximum total benefit for the cooperatively operated water, wind and light energy, and determining the benefit distribution strategy of different combinations by using different benefit distribution methods The application provides a computer device, which comprises a memory and a processor, the memory stores a program, and the program is executed by the processor to enable the processor to execute the steps of the water, wind and light integrated system benefit distribution method.

[0015] Compared with the prior art, the application has the following remarkable advantages: The application obtains the power, abandoned wind and light and lost load indexes through analog scheduling, selects the balanced solution in the data set by using the membership degree normalization multi-attribute decision, and takes the balanced solution as the final scheduling rule of the water, wind and light integration. Based on the rule, the benefit collection and distribution of the power station under different combination modes are completed by accounting the comprehensive economic benefits of the operation scheme of various types of energy power stations (water power station, wind power station, photovoltaic power station and various combinations thereof), and the incremental benefits generated after the combination of the water, wind and light power stations are accurately calculated. Meanwhile, based on the cooperation game theory, the benefit distribution strategies of different combinations are determined by using different benefit distribution methods, the excess profits generated by the multi-scale coupling integrated scheduling are distributed in a fair, low-conflict and easy-to-negotiate manner, the balance of the distribution of all combinations under different benefit distribution is improved, the excess profit quantitative indexes of each combination member under different methods are clearly embodied, and the intuitive and scientific data support is provided for the combination contract signing, the confirmation of the rights and interests of all parties and the management decision of the benefit distribution, so that the gaps in the benefit evaluation and mechanism design of the prior art are made up. BRIEF DESCRIPTION OF DRAWINGS

[0016] Figure 1 It is a typical multi-energy complementary system structure schematic diagram in the background art of the application; Figure 2 It is the three-layer architecture and decision-making process of the prior art "data-model-algorithm" in the embodiment of the application; Figure 3 It is a technical flowchart of the water, wind and light integrated system benefit distribution strategy in the embodiment of the application; Figure 4 It is a flowchart of the water, wind and light integrated system benefit distribution method provided by the application. DETAILED DESCRIPTION

[0017] The technical solutions of the embodiments of the application will be clearly and completely described below with reference to the drawings in the application. Obviously, the described embodiments are part of the embodiments of the application, rather than all the embodiments. Based on the embodiments in the application, all other embodiments obtained by those skilled in the art without creative labor should belong to the protection scope of the application.

[0018] The multi-energy complementary performance is specifically shown as follows: (1) in the objective function, the water consumption cost or the weight of the electric quantity loss is lower than the weight of the wind and light abandoned power penalty; (2) in the constraint condition, the reservoir water level and the discharge flow boundary are relaxed to give way to wind and light; and (3) the benefit distribution link is missing or only a simple "electric quantity proportion distribution" rule is adopted. A large amount of practical experience shows that the water and electricity will cause a large loss of economic benefits in the process of adjusting new energy, and cannot maintain the stability of the multi-energy complementary system. Therefore, it is necessary to develop a scientific and reasonable water, wind and light multi-energy complementary benefit distribution strategy to compensate the water and electricity benefits and improve the enthusiasm of the water and electricity to form a combination with wind and light new energy. Among them, as shown in Figure 2 The existing three-layer architecture and decision-making process are specifically shown as follows: The three-layer architecture includes Step1 data layer, Step2 model layer and Step3 algorithm and platform layer. Among them, the data layer includes: (1) high-precision wind and light processing, (2) external variables such as electricity price and load and (3) cascade water and electricity storage flow sequence; the model layer includes: (1) long-term (year / season / month): taking the maximum power and the minimum abandoned power as the target, a dynamic programming or dynamic programming variant is used to generate a scheduling process, (2) medium-term (week / month / day): coupled with the long-term power decomposition result, a distribution curve is used to decompose the power and (3) short-term (intra-day): taking 15min-1h as the granularity, a rolling MLP or convex relaxation model is established to minimize the wind and light deviation penalty and water and electricity consumption cost; the algorithm and platform layer includes: (1) cloud platform: Kubernetes containerization, Spark parallel stream processing, (2) solver: multi-objective cuckoo search algorithm (MOCS) + commercial solver parallel calling and (3) output: fine joint power generation plan curve, water level control strategy, abandoned wind and light rate and cross-section flow distribution.

[0019] In the existing research, there are three deficiencies: firstly, the water, wind and light multi-energy complementary operation simulation is not fine enough, and the efficient cooperation between long-term, medium-term and short-term is not considered, so that the benefit of the system is underestimated. Secondly, the benefit quantification index of the multi-energy complementary system is single, and lacks a quantitative index system for the overall benefit of the combination; and thirdly, the influence of different benefit distribution strategies has not been systematically compared, resulting in local optimal benefit distribution strategy.

[0020] Based on the above deficiencies, as shown in Figure 3 and Figure 4 The present application proposes a water, wind and light integrated system benefit distribution method, which specifically includes the following steps: Step S1: establishing a water, wind and light integrated system scheduling model.

[0021] The hydropower, wind-solar multi-energy complementary system consists of multiple power plants, with scheduling time scales involving hourly, daily, and monthly scales. There are hydraulic and power constraints, as well as constraints inherent in the scheduling model itself, and a large number of configurable objective functions. The hydropower, wind-solar integrated system scheduling model is used to simulate various energy scheduling scenarios involving hydropower, wind-solar, and multi-energy scenarios, generating a data set containing electricity indicators, wind and solar curtailment indicators, and load loss indicators. The specific process for establishing the hydropower, wind and solar integrated system scheduling model is as follows: The present invention starts from the perspective of efficient utilization of hydropower in the hydro-wind-solar multi-energy complementary system and the problem of accommodating wind-solar new energy, with the goal of maximizing the total on-grid power of the hydro-wind-solar multi-energy complementary system, minimizing the wind-solar new energy power abandonment rate, and minimizing the complementary system load loss rate. The hydraulic constraints of each reservoir considered in the simulation scheduling process, the power constraints of each power station, and the constraints of the optimization variables considered in the optimization scheduling model are used as constraint functions to construct a hydro-wind-solar integrated system scheduling model.

[0022] The objective function is as follows: The hydropower, wind-solar multi-energy complementary system has the largest total on-grid power: ; ; ; Wind and solar energy have the lowest power curtailment rate: ; ; ; The water, wind and solar multi-energy complementary system has the lowest load loss rate: ; ; Where: The total on-grid power of the hydropower, wind-solar and solar-energy complementary system; The curtailment rate of wind and solar power; is the load failure rate of the water, wind and solar multi-energy complementary system; 、 Respectively represent the amount of electricity on the grid and the amount of electricity abandoned; 、 、 They represent cascade hydropower stations, wind power plants, and photovoltaic power plants respectively; For photovoltaic power plants Power generation during the time period; For wind power plants Power generation during the time period; Cascade hydropower stations The amount of electricity connected to the grid (power generation) during each period; For the Periodic generation plan of hydro-wind-solar complementary system For the Periodic load loss rate of hydro-wind-solar complementary system

[0023] Constraints: The constraints considered in the multi-scale coupled hydro-wind-solar integrated scheduling model mainly include two categories: one category is the hydraulic constraints existing in each reservoir and the power constraints of each power station considered in the simulation scheduling process, including water balance constraints, water level constraints, reservoir capacity constraints, discharge flow constraints, and output constraints; the other category is the constraints of optimization variables considered in the optimization scheduling model, including the non-intersection constraints of the upper and lower lines on the scheduling diagram, and the upper and lower limit constraints of the optimization variables of the five-section line of daily energy distribution.

[0024] (1) Water balance constraint ; (2) Water level constraint ; (3) Reservoir capacity constraint ; (4) Discharge flow constraint ; (5) Output constraint ; (6) Non-intersection constraint of scheduling line ; (7) Upper and lower limit constraint of five-section line distribution coefficient ; In the formula: , , , are the reservoir capacity, inflow, discharge flow and water level of the th reservoir in the th period; is the scheduling time interval; is the output of the th power source in the th period; are the water levels of the upper and lower scheduling lines in the th period; is the daily energy distribution five-section line daily distribution coefficient in the th period; , are the dead water level and normal water level of the th reservoir; , are the Dead storage of the reservoir and the storage corresponding to the normal water level of the reservoir; 、 are the upper and lower limits of the distribution coefficient, respectively.

[0025] Step S2: Through the water-wind-solar integrated system scheduling model, simulate the energy scheduling of various types of energy in the presence of water-wind-solar multi-energy scenarios, obtain a data set containing power indicators, abandoned wind and light indicators, and load loss indicators, and select a balanced solution in the data set by membership normalization multi-attribute decision-making, and form the final water-wind-solar integrated scheduling rule according to the balanced solution.

[0026] Adopt the parameter-simulation-optimization framework: first, use the multi-objective cuckoo algorithm to optimize 26 nodes in the long-term scheduling diagram and 108 parameters (a total of 134-dimensional variables) in the five-section line within a day, and obtain the power, abandoned wind and light, and load loss indicators through simulation scheduling. Iteration is output to the Pareto solution set for a specified number of times; then, the balanced solution is selected by membership normalization multi-attribute decision-making to form the final water-wind-solar integrated scheduling rule.

[0027] Step S3: Based on the scheduling rule, sequentially import the energy scheduling results simulated by each type of energy combination scheme, including the power generation and power purchase of each type, and according to the electricity price and economic parameters under different supervision, the energy scheduling results simulated by each type of energy combination scheme are used to quantify and account the benefits, and according to the benefits of single operation and any two or even three energy combinations, the quantified benefits are summed up / split to calculate the benefits, multi-year average benefits and total benefits under the combination This step realizes the comprehensive economic benefit accounting of various types of energy power stations (hydropower, wind power, photovoltaic and various combinations thereof), and completes the benefit collection and distribution of power stations under different combination modes. Each link is combined with specific calculation formulas to ensure the technical implementability and clarity of the steps.

[0028] 1. Data reading and preprocessing: sequentially import the original simulation data of each scheme, including basic parameters such as power generation and power purchase (load loss) of each type, to provide a data basis for subsequent benefit quantification. Sequentially read the basic data of power generation and power purchase of each scheme, is the power generation of the ith type of power source in the tth period; is the external power purchase (load loss) power in the tth period.

[0029] 2. Economic parameter setting: For electricity prices and economic parameters under different supervision, the following settings are made: each hydropower station (such as Cihaxia, Banduo, Yangqu, etc.) implements its own grid-connected electricity price, wind power and photovoltaic power implement the agreed grid-connected electricity price, the national carbon trading market carbon price and carbon emission coefficient in the economic parameters are determined according to the relevant energy management policies; energy storage auxiliary peak regulation adopts a dedicated electricity price, and all parameters are constructed in vector form with block or time resolution to facilitate subsequent accounting. Set the grid-connected electricity price for each power generation type (yuan / kWh), ancillary service price (yuan / kWh) and carbon emission coefficient (t / MWh) and carbon trading unit price (yuan / t), etc. All parameters are vectorized to adapt to timing.

[0030] The energy dispatch results simulated by various energy combination schemes are used to quantify various benefits. The benefits of individual operation and any combination of two or even three energy sources are summed up / split into various quantified benefits. The benefits, multi-year average benefits, and total benefits of the combination are calculated as follows: 3. Quantitative accounting of benefit items: (1) Calculation of power generation benefits: Calculate the individual benefits based on the power generation of each power station type and the corresponding benchmark electricity price.

[0031] ; Where: is the power generation benefit in period t (yuan).

[0032] (2) Carbon emission reduction / carbon trading benefits: Quantify the additional benefits brought by carbon emission reduction based on actual power generation and carbon emission coefficient, combined with the carbon trading market price of the year.

[0033] ; Where: is the income from carbon trading in period t (yuan).

[0034] (3) Loss of load electricity purchase cost: Statistics on the amount of electricity required to be purchased from outside for each combination during peak and accident situations to assist in cost accounting of peak-shaving electricity prices.

[0035] ; Where: is the external electricity purchase cost in period t (yuan).

[0036] 4. Statistics and induction of combined benefits: For the benefits of individual operation and any two or even three energy combinations, the total economic benefits, carbon emission reduction benefits, and load loss costs of each period are calculated, and the multi-year average benefits are normalized to facilitate horizontal comparison of combined schemes. For each combination scheme, the total benefits, multi-year average benefits, or total benefits of each benefit under the combined situation are calculated by adding / splitting the quantified benefits, and a benefit aggregation matrix is constructed.

[0037] The combined benefit calculation formula is: ; In the formula: The total economic benefit of the time period combination scheme (yuan).

[0038] Multi-year average benefits: ; In the formula: The multi-year average benefit (yuan); The number of years; The number of periods per year; The total benefit of the t period of the y year (yuan).

[0039] 5. Combined benefit output and decision support All scheme calculation results (such as power generation benefits, carbon emission reduction benefits, power purchase costs, multi-year average benefits, etc.) are output in a structured table for subsequent interest allocation, combination contract development, and optimization decision-making. The output results include detailed and aggregated tables of each scheme benefit, realizing economic comparability and scientific management of water-wind-solar multi-energy joint. The benefit output of each combination scheme is arranged as a structured matrix: ; In the formula: The benefit output matrix of each combination scheme.

[0040] There are 7 combination forms for the 3 game subjects of water-wind-solar complementary system, including {hydropower}, {wind power}, {photovoltaic}, {hydropower, wind power}, {hydropower, photovoltaic}, {wind power, photovoltaic}, and {hydropower, wind power, photovoltaic}. The total revenue of each combination is calculated by taking the benefit quantification index, and the example results are shown in Table 1.

[0041] Table 1 Total revenue table of each combination

[0042] Step S4: Based on the cooperative game theory, the energy combination with the maximum total benefit is selected for the synergistically operated water-wind-solar energy, and different benefit allocation methods are used to determine the benefit allocation strategies of different combinations. ​

[0043] This step is based on the cooperative game theory, and aims at the multiple members (such as hydropower, wind power, photovoltaic power generation units) participating in the collaborative operation of the multi-energy system. The excess profit obtained by the multi-energy coupling dispatch is scientifically and fairly distributed. The Shapley value, nucleolus method, and modified disruption propensity (MDP) method are combined to calculate the excess profit of the combined members and determine the distribution ratio. This step includes the following sub-steps: 1. Excess profit calculation basis: Construct a benefit combination data table under different combinations of multiple players (players), and record the benefit of each combination as , wherein is a set containing part or all of the members. In practical applications, the combination benefit data is obtained as an input through the previous step, and is recorded as combination_benifit.

[0044] 2. Shapley value distribution method: The Shapley value is used to distribute the average marginal contribution of each member in all permutations of different combinations, so as to achieve fair distribution.

[0045] 2.1 Calculate the marginal contribution: For the ith member, the marginal contribution of all combinations containing it is: ; In the formula: is the marginal contribution of member i in combination S; is the benefit of combination S; is the combination benefit after excluding member i.

[0046] 2.2 Weighted aggregation contribution: The Shapley value is defined as: ; In the formula: is the Sharply value of member i ; n is the total number of members; is the number of members in set S ; is the union set.

[0047] 2.3 Benefit percentage distribution: ; In the formula: is the corresponding excess profit percentage distribution of member i ; Sharply value of members j .

[0048] 3. Nucleolus distribution method: Further optimize the profit distribution by using the nucleolus method, and seek the distribution scheme that minimizes the maximum "dissatisfaction" of each member in the combination.

[0049] 3.1 Inequality set establishment: The following linear inequality set is established for a three-member combination: ; Where: Member actual distribution; is the benefit constraint of each combination, and the reference scheme is input.

[0050] 3.2 Dissatisfaction expression: Define the remaining "surplus" vector as: ; Where: is the surplus of the combination S; is the distribution value of member i; is the total benefit of the combination S.

[0051] 3.3 Minimize the maximum surplus: By traversing all distribution schemes, find the minimum of the maximum surplus , which is the nucleolus solution: ; Where: is the optimal distribution solution, where is the optimal distribution solution of member i , and is the optimal distribution solution of member j .

[0052] Distribution ratio: ; Where, is the distribution ratio.

[0053] 4. Improved MDP distribution method: Consider the impact of member withdrawal on the combination profit, and adjust the distribution through the relationship between member interest changes and combination excess profit changes.

[0054] ; Where: is the MDP value (distribution inclination strength) of member i . For members i The assigned value of For the benefit of the entire portfolio; For members i benefits; To remove i combination benefits.

[0055] 5. Allocation result matrix and indicator output: In order to intuitively reflect the specific distribution of excess profits of the three members (such as hydropower, wind power, and photovoltaic power) under each allocation method and their proportion in the total benefits of the portfolio, the following allocation result matrix is ​​sorted and output: ; Where: A member of the Shapley value method excess profits distributed (absolute value); Members of the Shapley Law Percentage of the total excess profit of the portfolio; , They are members of the Nucleolus Absolute returns and percentages; , Members under the MDP Act i Absolute returns and percentages.

[0056] The actual values ​​of the allocation result matrix are generated by the following formula: ; The first The rows are the absolute excess profit values ​​and proportions of each member under Shapley distribution, Nucleolus distribution, and MDP distribution respectively.

[0057] This method, focusing on a hydropower-wind-photovoltaic power ternary system, first quantifies the total revenue of the system by combining electricity sales revenue, carbon reduction benefits, and electricity purchase cost savings. Based on this revenue, it then applies three cooperative game mechanisms: the Shapley value method (based on marginal contribution), the kernel method (minimizing maximum dissatisfaction), and the equal MDP method (equivalent exit risk). This method distributes excess profits generated by multi-scale coupled integrated scheduling in a fair, low-conflict, and easily negotiated manner. The distribution results clearly demonstrate the quantitative indicators of excess profits achieved by each member under different methods, providing intuitive and scientific data support for the signing of system contracts, the confirmation of rights and interests of all parties, and decision-making regarding profit distribution management.

[0058] like Figure 3As shown, in order to formulate a water-wind-solar complementary system benefit distribution strategy, the application first establishes a water-wind-solar integrated system scheduling model, taking runoff data, characteristic curves of cascade hydropower stations, wind-solar output data and volume water-electricity-wind-solar field parameters as input data, sequentially obtaining monthly total required power generation through long-term scheduling (monthly scale), daily power generation through medium-term scheduling (daily scale), and intra-day power generation through short-term scheduling (hourly scale), finally obtaining a fine scheduling process of the water-wind-solar integrated system, and the scheduling results include cascade hydropower output, wind power output and photovoltaic output; then, water-wind-solar energy benefit combinations are combined into seven modes (water power, photovoltaic, wind power, wind power and photovoltaic, water power and wind power, water power and photovoltaic, water power, wind power and photovoltaic), and benefit quantitative indicators are calculated for different combinations, including power selling benefit, carbon reduction benefit and power purchase cost. Finally, the combination with the maximum total benefit is selected, and different benefit distribution methods (Sharply value, kernel method and equal MDP method) are used to determine the distribution strategies under different benefit distribution methods.

[0059] Based on the above method and statement, the application provides a water-wind-solar integrated system benefit distribution system, comprising a simulation module, a benefit acquisition module and a distribution module.

[0060] The simulation module is used to simulate the scheduling of various types of energy in the presence of a water-wind-solar multi-energy scenario, obtain a data set containing power indicators, abandoned wind and light indicators and load loss indicators, and select a balanced solution in the data set using membership normalization multi-attribute decision making, and form a final water-wind-solar integrated scheduling rule according to the balanced solution; the benefit acquisition module is used to quantify and calculate the benefits of the energy scheduling results simulated by each type of energy combination scheme based on the scheduling rule and the electricity price and economic parameters under different supervision, and to calculate the benefits, multi-year average benefits and total benefits under the combination condition by adding up / splitting the quantitatively calculated benefits under the condition of separate operation and any two or three energy combinations; the distribution module is used to select the energy combination with the maximum total benefit for the synergistically operated water-wind-solar energy, and determine the benefit distribution strategies of different combinations by using different benefit distribution methods.

[0061] The application also provides a computer device comprising a memory and a processor, the memory storing a program, and the program being executed by the processor to make the processor execute the steps of a water-wind-solar integrated system benefit distribution method.

[0062] According to the disclosed embodiments, the computer device can communicate with one or more external devices (such as a keyboard, a pointing device, a Bluetooth communication, etc.), or with any device (such as a router, a demodulator, etc.) that enables the computer device to communicate with one or more other computer devices.

[0063] The application further provides a storage medium, which stores a computer program, and the computer program realizes steps of a water-sight integration system benefit distribution method when executed by a processor.

[0064] According to the disclosed embodiments, the storage medium can be a nonvolatile computer-readable storage medium, which can include but is not limited to a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any appropriate combination thereof. In this application, a storage medium can be any tangible medium that contains or stores a program for use by or in connection with an instruction execution system, apparatus, or device.

[0065] The above is further detailed description of the application in combination with specific preferred embodiments, and for those skilled in the art, some simple deductions or replacements can be made without departing from the concept of the application, which should be regarded as falling within the protection scope of the application.

Claims

1. A method for distributing benefits of a water-wind-solar integrated system, characterized in that: include: Simulate the dispatch of various energy sources in a scenario with multiple energy sources including hydropower, wind power, and solar power. Obtain a data set containing electricity consumption indicators, wind power and solar power curtailment indicators, and load loss indicators. Then, use membership degree normalization to normalize multi-attribute decision making to select the equilibrium solution in the data set. Based on the equilibrium solution, form the final dispatch rule for the integration of hydropower, wind power, and solar power. Based on the dispatch rules, and targeting electricity prices and economic parameters under different supervision, the energy dispatch results of various energy combination schemes are used to quantify various benefits. In addition, by summing up / splitting the quantitatively calculated benefits for individual operation and any combination of two or even three energy sources, the benefits of each combination, the multi-year average benefit, and the total benefit are calculated. For the coordinated operation of water, wind and solar energy, the energy combination with the greatest total benefit is selected, and different benefit distribution methods are adopted to determine the benefit distribution strategies for different combinations.

2. The profit distribution method of the water-wind-solar integrated system according to claim 1, characterized in that: The hydro-wind-solar integrated system dispatch model is used to simulate various energy dispatches in the scenario of hydro-wind-solar multi-energy. A data set including power indicators, wind and solar curtailment indicators, and load loss indicators is obtained. The establishment process of the hydro-wind-solar integrated system dispatch model is as follows: With the goal of maximizing the total on-grid power of the hydro-wind-solar multi-energy complementary system, minimizing the wind-solar new energy curtailment rate, and minimizing the complementary system load loss rate, a hydro-wind-solar integrated system scheduling model is constructed using the hydraulic constraints of each reservoir considered in the simulation scheduling process, the power constraints of each power station, and the constraints of the optimization variables considered in the optimization scheduling model as constraint functions.

3. The profit distribution method of the water-wind-solar integrated system according to claim 1, characterized in that: The electricity prices and economic parameters under different supervision are specifically as follows: Each hydropower station implements its own on-grid electricity price, wind power and photovoltaic power implement the agreed on-grid electricity price, and the national carbon trading market carbon price and carbon emission coefficient in the economic parameters are determined according to relevant energy management policies; energy storage assisted peak regulation adopts a dedicated electricity price, and all parameters are constructed in vector form with block or time resolution.

4. The profit distribution method of the water-wind-solar integrated system according to claim 1, characterized in that: The energy dispatch results simulated by various energy combination schemes are used to quantify various benefits. For the benefits of individual operation and any combination of two or even three energy sources, the benefits of the quantitative calculations are summed up / split, and the benefits, multi-year average benefits and total benefits of the combination are calculated. Specifically, Calculate the power generation benefits by combining the power generation of each power station type and the corresponding benchmark electricity price; quantify the carbon emission reduction / carbon trading benefits based on the actual power generation and carbon emission coefficient, combined with the carbon trading market price of the year; Statistics are collected on the amount of electricity each combination needs to purchase from outside during peak and accident situations to assist in cost accounting of peak-shaving electricity prices and obtain the cost of electricity purchased when the load is lost; For each energy combination scheme, by summing up / splitting the quantitatively calculated benefits, we can calculate the benefits, multi-year average benefits, and total benefits under the combined scenario. The specific expression is: ； ； Where: For the The total economic benefits of the time period combination plan, is the average benefit over many years, is the power generation benefit in period t, is the income from carbon trading in period t, is the external electricity purchase cost in period t; is the number of years; is the number of time periods per year; For the y Year t The total benefit of the period.

5. The profit distribution method of the water-wind-solar integrated system according to claim 1, characterized in that: The profit distribution methods include: Shapley value distribution method, nucleolus method and equal MDP method.

6. The profit distribution method of the water-wind-solar integrated system according to claim 5, characterized in that: Profits are distributed through the Shapley value distribution method, specifically: The Shapley value is used to allocate the average marginal contribution of each member in all permutations of different combinations; the specific expression is: ； Where: For members i Marginal contribution in portfolio S; For combination S benefits; To remove members i The combined benefits after The Shapley value is obtained by averaging the marginal contribution, and the profit percentage distribution is obtained by using the Shapley value; the specific expression is: ； ； Where: For members i Sharply value; n is the total number of members; For collection S Number of members; is a union; For members i the corresponding percentage distribution of excess profits; For members j Sharply value.

7. The profit distribution method of the water-wind-solar integrated system according to claim 5, characterized in that: Profits are distributed through the Nucleolus Method, specifically: A linear inequality is established for the three-member portfolio, and the residual surplus vector is defined; the specific expression is: ； Where: For combination S surplus; For members i The assigned value of For combination S total benefits; By traversing all allocation plans, we can find the one with the largest surplus and the smallest profit. , and obtain the distribution ratio; The specific expression is: ； ； Where: is the optimal allocation solution, where For members i The optimal allocation solution for For members j The optimal allocation solution of ; For the distribution ratio.

8. The profit distribution method of the water-wind-solar integrated system according to claim 5, characterized in that: Profits are distributed through the MDP method, specifically: Taking into account the impact of member withdrawal on the portfolio profit, the distribution is adjusted based on the relationship between changes in member interests and changes in the portfolio's excess profit. The specific expression is: ； Where: For members i MDP value; For members i The assigned value of For the benefit of the entire portfolio; For members i benefits; To remove i The combined benefits of The allocation result matrix reflects the specific distribution of the excess profits of the three members under each allocation method and their proportion in the total benefits of the portfolio.

9. A profit distribution system for a water, wind and solar integrated system, characterized in that: include: The simulation module is used to simulate the dispatch of various energy sources in scenarios with multiple energy sources including hydropower, wind power, and solar power. This module obtains a data set containing electricity consumption indicators, wind power and solar power curtailment indicators, and load loss indicators. It then uses membership degree normalization to normalize multi-attribute decision-making to select the equilibrium solution in the data set and formulate the final dispatch rules for the integration of hydropower, wind power, and solar power based on the equilibrium solution. The benefit acquisition module is used to quantify various benefits based on the dispatch rules and the energy dispatch results simulated by various energy combination schemes for different supervised electricity prices and economic parameters. It also calculates the benefits of individual operation and any two- or even three-energy combinations by summing up or splitting the quantified benefits, and then calculates the various benefits, multi-year average benefits, and total benefits for the combination. The allocation module is used to select the energy combination with the greatest total benefit for the coordinated operation of water, wind and solar energy, and adopt different benefit distribution methods to determine the benefit distribution strategy for different combinations.

10. A computer device, characterized in that: It includes a memory and a processor, wherein a program is stored in the memory, and when the program is executed by the processor, the processor executes the steps of a profit distribution method for a water-wind-solar integrated system as described in any one of claims 1 to 8.

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