Wind and light pumped storage capacity configuration method, device, equipment, medium and product

Abstract

The invention relates to the technical field of wind and light pumped storage, and discloses a wind and light pumped storage capacity configuration method, device, equipment, medium and product, the wind and light pumped storage capacity configuration method comprises the following steps: randomly generating a plurality of initial capacity configuration schemes according to capacity configuration parameters of a wind and light pumped storage system; determining a target total income corresponding to the cooperative alliance; determining the subject income corresponding to each subject; determining a combination income corresponding to each combination; determining a marginal contribution rate of each main body according to the target total income, the main body income and the combined income, taking a distribution result of distributing the target total income according to the marginal contribution rate as a constraint, taking the maximum target total income as a target function, and carrying out updating iteration on the plurality of initial capacity configuration schemes to obtain a target capacity configuration scheme, according to the capacity configuration method and device disclosed by the invention, different subjects are subjected to multi-market gaming, so that the target capacity configuration scheme which is more in line with the actual situation is obtained.

Description

Technical Field

[0001] This invention relates to the field of wind and solar pumped storage technology, specifically to capacity configuration methods, devices, equipment, media, and products for wind and solar pumped storage. Background Technology

[0002] With the advancement of energy transition, large-scale grid connection of new energy sources (wind and solar power) has become a trend. However, wind and solar power generation is characterized by intermittency and volatility, posing a severe challenge to the stable operation of the power system. Pumped storage, as a technologically mature and economically feasible energy storage method, possesses the ability to respond quickly and regulate large capacity. Therefore, the coordinated development of pumped storage and new energy sources (wind and solar power) has become a key path for building a new type of power system.

[0003] In the coordinated development of pumped hydro storage with wind and solar energy, capacity configuration is necessary to ensure better collaboration among these energy sources. Related technologies typically treat pumped hydro storage, wind energy, or solar energy as a single entity, determining the capacity configuration scheme for each. However, during the collaboration between pumped hydro storage and wind / solar energy, the interactions between these entities also affect capacity configuration. Therefore, determining the capacity configuration scheme for each entity individually results in inaccurate schemes that do not reflect reality. Summary of the Invention

[0004] In view of this, the present invention provides a method, apparatus, equipment, medium and product for capacity configuration of wind and solar pumped storage, in order to solve the problem that the capacity configuration schemes in related technologies are not accurate enough and do not conform to the actual situation.

[0005] In a first aspect, the present invention provides a capacity configuration method for wind-solar pumped storage in related technologies, comprising: randomly generating multiple initial capacity configuration schemes based on the capacity configuration parameters of the wind-solar pumped storage system; the wind-solar pumped storage system is a system in which wind-solar power plants, pumped storage power plants, and regional power grids operate in coordination; the wind-solar power plants, pumped storage power plants, and regional power grids are regarded as a cooperative alliance, and the target total revenue corresponding to the cooperative alliance under each initial capacity configuration scheme is determined; the target total revenue is the sum of the cooperative alliance's electricity market revenue, carbon market revenue, and green certificate market revenue; the wind-solar power plants, pumped storage power plants, and regional power grids are regarded as entities, and the entity revenue corresponding to each entity under each initial capacity configuration scheme is determined; the entity revenue is the entity's electricity market revenue, carbon market revenue, and green certificate market revenue. The sum of benefits; wind and solar power plants, pumped storage power plants, and regional power grids are paired to determine the combined revenue of each pair under each initial capacity configuration scheme; the combined revenue is the sum of the electricity market revenue, carbon market revenue, and green certificate market revenue of the combination; based on the target total revenue, the entity revenue, and the combined revenue, the marginal contribution rate of each entity is determined, and the target total revenue is allocated according to the marginal contribution rate; the marginal contribution rate is used to characterize the degree of contribution of the entity to the target total revenue of the cooperative alliance; with the allocation result of the target total revenue allocated according to the marginal contribution rate as a constraint, and with the maximum target total revenue as the objective function, multiple initial capacity configuration schemes are updated and iterated until a preset stopping condition is reached to obtain the target capacity configuration scheme, and the capacity configuration of wind, solar, and pumped storage is carried out according to the target capacity configuration scheme.

[0006] This invention randomly generates multiple initial capacity configuration schemes based on the capacity configuration parameters of wind-solar pumped storage systems, providing diverse foundations for determining subsequent target capacity configuration schemes, facilitating the discovery of better configurations, and avoiding the limitations of a single initial scheme. This invention treats wind-solar power plants, pumped storage power plants, and regional power grids as a cooperative alliance, determining the target total revenue corresponding to the alliance under each initial capacity configuration scheme. It also treats each of the wind-solar power plant, pumped storage power plant, and regional power grid as a principal entity, determining the principal entity's revenue under each initial capacity configuration scheme. Furthermore, it pairs the wind-solar power plant, pumped storage power plant, and regional power grid, determining the combined revenue for each pair under each initial capacity configuration scheme. Based on the target total revenue, principal entity revenue, and combined revenue, it determines the marginal contribution rate of each principal entity, allocating the target total revenue according to the marginal contribution rate. This multi-revenue approach to determining the marginal contribution rate and allocating revenue accurately measures the revenue contribution of each principal entity, ensuring fair and reasonable revenue distribution and stimulating the enthusiasm of all entities to participate in collaborative operation. This invention uses the allocation result of the target total revenue according to the marginal contribution rate as a constraint, and takes the maximum target total revenue as the objective function to update and iterate multiple initial capacity configuration schemes until a preset stopping condition is reached to obtain the target capacity configuration scheme. By configuring the capacity of wind-solar pumped storage based on the target capacity configuration scheme, it can pursue the optimal overall benefit of the alliance while ensuring reasonable benefits for each entity, resulting in a more adaptable and efficient target capacity configuration scheme, thus improving the operating efficiency and profitability of wind-solar pumped storage systems in multi-market environments. Compared with related technologies, this invention not only considers the joint operation mechanism of multiple entities cooperating in pumped storage units, but also the profit distribution mechanism after multi-entity participation in multi-market cooperative game, thereby further exploring the potential value of wind-solar pumped storage system operation and promoting the rational allocation and effective utilization of wind-solar pumped storage systems.

[0007] In one optional implementation, before randomly generating multiple initial capacity configuration schemes based on the capacity configuration parameters of the wind-solar pumped storage system, the method further includes: acquiring historical wind and solar power data, performing cluster analysis on the historical wind and solar power data to obtain multiple cluster groups; selecting typical days in each cluster group, and obtaining typical scenarios based on multiple typical days; the capacity configuration parameters are the capacity configuration parameters under the typical scenarios.

[0008] This invention uses cluster analysis to classify and organize complex and massive historical wind and solar power data, grouping wind and solar power data with similar characteristics into one category. It can uncover the inherent patterns in the data, select typical days from cluster grouping, and construct typical scenarios. This allows capacity configuration parameters to be based on typical scenarios, making the generated initial capacity configuration scheme more consistent with the common states of wind and solar power in actual operation, and improving the adaptability of multiple initial capacity configuration schemes.

[0009] In one optional implementation, the wind and solar power plant, pumped storage power plant, and regional power grid are considered as a cooperative alliance. The target total revenue of the cooperative alliance under each initial capacity configuration scheme is determined. This includes: constructing a joint operation model for each initial capacity configuration scheme using the wind and solar power plant, pumped storage power plant, and regional power grid as a cooperative alliance; and using the joint operation model to simulate the electricity market, carbon market, and green certificate market with the goal of maximizing revenue, thereby obtaining the target total revenue of the cooperative alliance under each initial capacity configuration scheme.

[0010] In one optional implementation, wind and solar power plants, pumped storage power plants, and regional power grids are each taken as subjects, and the subject revenue corresponding to each subject under each initial capacity configuration scheme is determined. This includes: taking wind and solar power plants, pumped storage power plants, and regional power grids as subjects, constructing subject operation models corresponding to each subject under each initial capacity configuration scheme; and using the subject operation models to simulate the electricity market, carbon market, and green certificate market with the goal of minimizing operating costs, to obtain the subject revenue corresponding to each subject under each initial capacity configuration scheme.

[0011] In one optional implementation, wind and solar power plants, pumped storage power plants, and regional power grids are combined in pairs to determine the combined revenue of each combination under each initial capacity configuration scheme. This includes: combining wind and solar power plants, pumped storage power plants, and regional power grids in pairs to obtain multiple combinations, constructing a combined operation model for each combination under each initial capacity configuration scheme; and using the combined operation model to simulate the electricity market, carbon market, and green certificate market with the goal of minimizing operating costs, to obtain the combined revenue of each combination under each initial capacity configuration scheme.

[0012] In one optional implementation, the marginal contribution rate of each entity is determined based on the target total revenue, entity revenue, and combined revenue, including: determining the weight of each set in which each entity participates based on the number of entities in the multiple sets in which each entity participates and the total number of entities in the multiple sets in which each entity participates; determining the revenue increment of each set in which each entity participates based on the target total revenue, entity revenue, and combined revenue; obtaining multiple product results by multiplying the revenue increment of each set in which each entity participates by the corresponding weight; and summing the multiple product results to obtain the marginal contribution rate of each entity.

[0013] Secondly, the present invention provides a capacity configuration device for wind-solar pumped-storage energy systems, comprising: an initial capacity determination module, used to randomly generate multiple initial capacity configuration schemes based on the capacity configuration parameters of the wind-solar pumped-storage system; the wind-solar pumped-storage system is a system in which wind-solar power stations, pumped-storage power stations, and regional power grids operate in coordination; a total revenue determination module, used to determine the target total revenue corresponding to the cooperative alliance under each initial capacity configuration scheme, taking the wind-solar power station, pumped-storage power station, and regional power grid as a cooperative alliance; the target total revenue is the sum of the cooperative alliance's electricity market revenue, carbon market revenue, and green certificate market revenue; and a principal revenue determination module, used to determine the principal revenue corresponding to each principal under each initial capacity configuration scheme, taking the wind-solar power station, pumped-storage power station, and regional power grid as principals; the principal revenue is the principal's electricity market revenue, carbon market revenue, and green certificate market revenue. The system comprises the following modules: a total revenue determination module, a combined revenue determination module, and a capacity allocation module. The combined revenue is the sum of the electricity market revenue, carbon market revenue, and green certificate market revenue of each combination. A contribution rate determination module is used to determine the marginal contribution rate of each entity based on the target total revenue, entity revenue, and combined revenue, and to allocate the target total revenue according to the marginal contribution rate. The marginal contribution rate characterizes the degree to which an entity contributes to the target total revenue of the cooperative alliance. A capacity allocation module is used to update and iterate multiple initial capacity allocation schemes with the allocation result based on the marginal contribution rate as a constraint and the maximum target total revenue as the objective function, until a preset stopping condition is met, to obtain the target capacity allocation scheme. The wind, solar, and pumped storage capacity is then allocated according to the target capacity allocation scheme.

[0014] Thirdly, the present invention provides a computer 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 perform the capacity configuration method for wind-solar pumped-storage energy as described in the first aspect or any corresponding embodiment thereof.

[0015] Fourthly, the present invention provides a computer-readable storage medium storing computer instructions for causing a computer to execute the capacity configuration method for wind-solar pumped-storage energy as described in the first aspect or any corresponding embodiment thereof.

[0016] Fifthly, the present invention provides a computer program product, including computer instructions, which are used to cause a computer to execute the capacity configuration method for wind-solar pumped-storage energy as described in the first aspect or any corresponding embodiment thereof. Attached Figure Description

[0017] To more clearly illustrate the technical solutions in the specific embodiments or related technologies of the present invention, the drawings used in the description of the specific embodiments or related technologies will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0018] Figure 1 This is a flowchart illustrating the capacity configuration method for wind-solar pumped-storage hydroelectric power according to an embodiment of the present invention.

[0019] Figure 2 This is a flowchart illustrating another capacity configuration method for wind-solar pumped-storage hydropower according to an embodiment of the present invention.

[0020] Figure 3 This is a flowchart illustrating another capacity configuration method for wind-solar pumped storage according to an embodiment of the present invention.

[0021] Figure 4 This is a structural block diagram of a capacity configuration device for wind-solar pumped-storage hydroelectric power according to an embodiment of the present invention.

[0022] Figure 5 This is a schematic diagram of the hardware structure of a computer device according to an embodiment of the present invention. Detailed Implementation

[0023] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0024] With the advancement of energy transition, large-scale grid connection of new energy sources (wind and solar power) has become a trend. However, wind and solar power generation is characterized by intermittency and volatility, posing a severe challenge to the stable operation of the power system. Pumped storage, as a technologically mature and economically feasible energy storage method, possesses the ability to respond quickly and regulate large capacity. Therefore, the coordinated development of pumped storage and new energy sources (wind and solar power) has become a key path for building a new type of power system.

[0025] In the process of coordinated development of pumped storage, wind power, and solar power, it is necessary to configure the capacity of pumped storage, wind power, and solar power to enable better collaboration between them. Related technologies only consider the optimized configuration of a single type of pumped storage unit, only consider pumped storage power stations or wind and solar bases as single stakeholders, without considering the joint operation and profit distribution between the two and the regional power grid, and only consider the configuration scheme of pumped storage power stations or wind and solar bases participating in a single electricity market transaction, without considering the coordination of multiple markets such as electricity, carbon, and green certificates.

[0026] This invention provides a capacity configuration method for wind, solar, and pumped-storage hydropower, which achieves a more realistic target capacity configuration scheme by engaging in multi-market competition among different entities.

[0027] According to an embodiment of the present invention, a capacity configuration method for wind-solar pumped-storage energy is provided. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Furthermore, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0028] This embodiment provides a capacity configuration method for wind-solar pumped-storage energy, which can be used with computer equipment. Figure 1 This is a flowchart of a capacity configuration method for wind-solar pumped-storage hydroelectric power according to an embodiment of the present invention, such as... Figure 1 As shown, the process includes the following steps:

[0029] Step S101: Based on the capacity configuration parameters of the wind-solar pumped storage system, randomly generate multiple initial capacity configuration schemes; the wind-solar pumped storage system is a system that coordinates the operation of wind-solar power stations, pumped storage power stations, and regional power grids.

[0030] Among them, the wind-solar pumped storage system is a system composed of wind and solar power stations, pumped storage power stations and regional power grids operating in coordination; the capacity configuration parameters are parameters used to determine the capacity configuration of each component (wind and solar power station, pumped storage power station, etc.) in the wind-solar pumped storage system. For example, the capacity configuration parameters include multiple sets of wind power and photovoltaic installed capacity and the number of constant speed and variable speed pumped storage units, etc.

[0031] In some optional implementations, the capacity configuration parameters of the wind-solar pumped storage system are input into a random number algorithm to randomly generate multiple initial capacity configuration schemes. The random number algorithm includes uniform distribution random, normal distribution random, etc.

[0032] In some optional implementations, before randomly generating multiple initial capacity configuration schemes based on the capacity configuration parameters of the wind-solar pumped storage system, the capacity configuration method for wind-solar pumped storage further includes: acquiring historical wind and solar power data, performing cluster analysis on the historical wind and solar power data to obtain multiple cluster groups; selecting typical days in each cluster group, and obtaining typical scenarios based on multiple typical days; the capacity configuration parameters are the capacity configuration parameters under the typical scenarios.

[0033] Among them, K-means clustering was used to perform cluster analysis on historical wind and solar power data, resulting in multiple cluster groups.

[0034] In some optional implementations, selecting a typical day in each cluster group includes: calculating the Euclidean distance between the data of each date in each cluster group and the group feature data, and selecting the date corresponding to the data with the smallest Euclidean distance as the typical day.

[0035] Step S102: The wind and solar power plants, pumped storage power plants, and regional power grids are considered as a cooperative alliance. The target total revenue of the cooperative alliance under each initial capacity configuration scheme is determined. The target total revenue is the sum of the cooperative alliance's electricity market revenue, carbon market revenue, and green certificate market revenue.

[0036] In some optional implementations, the wind and solar power plants, pumped storage power plants, and regional power grids are considered as a cooperative alliance. The target total revenue of the cooperative alliance under each initial capacity configuration scheme is determined. This includes: constructing a joint operation model for each initial capacity configuration scheme using the wind and solar power plants, pumped storage power plants, and regional power grids as a cooperative alliance; and using the joint operation model to simulate the electricity market, carbon market, and green certificate market with the goal of maximizing revenue, thereby obtaining the target total revenue of the cooperative alliance under each initial capacity configuration scheme.

[0037] Specifically, the capacity configuration parameters in each initial capacity configuration scheme are configured into the joint operation model. With the goal of maximizing revenue, the joint operation model is used to simulate the trading behavior of wind and solar power plants, pumped storage power plants, and regional power grids in the electricity market, carbon market, and green certificate market, respectively, to obtain the revenue from the electricity market, carbon market, and green certificate market. The target total revenue is obtained by summing the revenue from the electricity market, carbon market, and green certificate market.

[0038] Step S103: Taking the wind and solar power station, pumped storage power station and regional power grid as the main body respectively, determine the main body revenue corresponding to each main body under each initial capacity configuration scheme; the main body revenue is the sum of the main body's electricity market revenue, carbon market revenue and green certificate market revenue.

[0039] In some optional implementations, wind and solar power plants, pumped storage power plants, and regional power grids are each taken as subjects, and the subject revenue corresponding to each subject under each initial capacity configuration scheme is determined. This includes: taking wind and solar power plants, pumped storage power plants, and regional power grids as subjects, constructing subject operation models corresponding to each subject under each initial capacity configuration scheme; and using the subject operation models to simulate the electricity market, carbon market, and green certificate market with the goal of minimizing operating costs, to obtain the subject revenue corresponding to each subject under each initial capacity configuration scheme.

[0040] Specifically, the capacity configuration parameters in each initial capacity configuration scheme are configured into the main operation model. With the goal of minimizing operating costs, the main operation model is used to simulate the trading behavior of each entity (wind and solar power plants, pumped storage power plants, and regional power grids) in the electricity market, carbon market, and green certificate market. The electricity market revenue, carbon market revenue, and green certificate market revenue of each entity are obtained respectively. Based on the sum of the electricity market revenue, carbon market revenue, and green certificate market revenue of each entity, the main revenue of each entity is obtained.

[0041] Step S104: Combine the wind and solar power plants, pumped storage power plants and regional power grids in pairs, and determine the combined revenue of each combination under each initial capacity configuration scheme; the combined revenue is the sum of the combined electricity market revenue, carbon market revenue and green certificate market revenue.

[0042] In some optional implementations, wind and solar power plants, pumped storage power plants, and regional power grids are combined in pairs to determine the combined revenue of each combination under each initial capacity configuration scheme. This includes: combining wind and solar power plants, pumped storage power plants, and regional power grids in pairs to obtain multiple combinations, constructing a combined operation model for each combination under each initial capacity configuration scheme; and using the combined operation model to simulate the electricity market, carbon market, and green certificate market with the goal of minimizing operating costs, to obtain the combined revenue of each combination under each initial capacity configuration scheme.

[0043] Specifically, the capacity configuration parameters in each initial capacity configuration scheme are configured into the combined operation model. With the goal of minimizing operating costs, the combined operation model is used to simulate the trading behavior of each combination (wind and solar power plants and pumped storage power plants, wind and solar power plants and regional power grids, pumped storage power plants and regional power grids) in the electricity market, carbon market, and green certificate market. The electricity market revenue, carbon market revenue, and green certificate market revenue of each combination are obtained respectively. The combined revenue of each combination is obtained by summing the electricity market revenue, carbon market revenue, and green certificate market revenue of each combination.

[0044] Step S105: Determine the marginal contribution rate of each entity based on the target total revenue, entity revenue, and combined revenue, so as to allocate the target total revenue according to the marginal contribution rate; the marginal contribution rate is used to characterize the degree of contribution of the entity to the target total revenue of the cooperative alliance.

[0045] In some alternative implementations, the marginal contribution rate of each entity is calculated based on the Shapley value method, taking into account the target total revenue, entity revenue, and portfolio revenue.

[0046] Step S106: Using the allocation result of distributing the target total revenue according to the marginal contribution rate as a constraint, and taking the maximum target total revenue as the objective function, update and iterate multiple initial capacity configuration schemes until a preset stopping condition is reached to obtain the target capacity configuration scheme, and then configure the capacity of wind-solar pumped storage according to the target capacity configuration scheme.

[0047] In some alternative implementations, the allocation result of distributing the target total revenue according to the marginal contribution rate is used as a constraint, and the maximum target total revenue is used as the objective function. Multiple initial capacity configuration schemes are input into an improved particle swarm algorithm with linearly decreasing weights, and the multiple initial capacity configuration schemes are updated and iterated until a preset stopping condition is reached to obtain the target capacity configuration scheme.

[0048] The preset stopping condition can be set according to the actual situation. For example, the preset stopping condition can reach the maximum number of iterations of the particle swarm.

[0049] The capacity configuration method for wind-solar pumped storage provided in this embodiment randomly generates multiple initial capacity configuration schemes based on the capacity configuration parameters of the wind-solar pumped storage system. This provides a diverse basis for determining the subsequent target capacity configuration scheme, facilitating the discovery of better configurations and avoiding the limitations of a single initial scheme. This embodiment treats the wind-solar power station, the pumped storage power station, and the regional power grid as a cooperative alliance. It determines the target total revenue corresponding to the cooperative alliance under each initial capacity configuration scheme. The wind-solar power station, the pumped storage power station, and the regional power grid are each treated as a principal entity, and the principal revenue corresponding to each principal entity under each initial capacity configuration scheme is determined. The wind-solar power station, the pumped storage power station, and the regional power grid are then paired, and the combined revenue corresponding to each combination under each initial capacity configuration scheme is determined. Based on the target total revenue, principal revenue, and combined revenue, the marginal contribution rate of each principal entity is determined. The target total revenue is then allocated according to the marginal contribution rate. Determining the marginal contribution rate and allocating revenue based on multiple revenues accurately measures the revenue contribution of each principal entity, ensuring fair and reasonable revenue distribution and stimulating the enthusiasm of each entity to participate in collaborative operation. This invention uses the allocation result of the target total revenue according to the marginal contribution rate as a constraint, and takes the maximum target total revenue as the objective function to update and iterate multiple initial capacity configuration schemes until a preset stopping condition is reached to obtain the target capacity configuration scheme. By configuring the capacity of wind-solar pumped storage based on the target capacity configuration scheme, it can pursue the optimal overall benefit of the alliance while ensuring reasonable benefits for each entity, resulting in a more adaptable and efficient target capacity configuration scheme, and improving the operating efficiency and profitability of wind-solar pumped storage systems in multi-market environments. Compared with related technologies, this invention not only considers the joint operation mechanism of multiple entities cooperating in pumped storage units, but also the profit distribution mechanism after multiple entities participate in multi-market cooperative game, thereby further exploring the potential value of wind-solar pumped storage system operation and promoting the rational configuration and effective utilization of wind-solar pumped storage systems.

[0050] This embodiment provides a capacity configuration method for wind-solar pumped-storage energy, which can be used with computer equipment. Figure 2 This is a flowchart of another capacity configuration method for wind-solar pumped-storage hydropower according to an embodiment of the present invention, such as... Figure 2 As shown, the process includes the following steps:

[0051] Step S201: Based on the capacity configuration parameters of the wind-solar pumped storage system, multiple initial capacity configuration schemes are randomly generated; the wind-solar pumped storage system is a system that coordinates the operation of wind-solar power plants, pumped storage power plants, and the regional power grid. For details, please refer to... Figure 1 Step S101 of the illustrated embodiment will not be described again here.

[0052] Step S202 involves forming a cooperative alliance comprised of the wind and solar power plants, pumped storage power plants, and the regional power grid. The target total revenue for this alliance is determined under each initial capacity configuration scheme. The target total revenue is the sum of the alliance's electricity market revenue, carbon market revenue, and green certificate market revenue. For details, please refer to [link to details]. Figure 1 Step S102 of the illustrated embodiment will not be described again here.

[0053] Step S203 involves treating wind and solar power plants, pumped storage power plants, and the regional power grid as separate entities, and determining the corresponding revenue for each entity under each initial capacity configuration scheme. The entity's revenue is the sum of its electricity market revenue, carbon market revenue, and green certificate market revenue. For details, please refer to [link to details]. Figure 1 Step S103 of the illustrated embodiment will not be described again here.

[0054] Step S204 involves pairing the wind and solar power plants, pumped storage power plants, and regional power grids to determine the combined revenue for each pair under each initial capacity configuration scheme. The combined revenue is the sum of the combined electricity market revenue, carbon market revenue, and green certificate market revenue. For details, please refer to [link to details]. Figure 1 Step S104 of the illustrated embodiment will not be described again here.

[0055] Step S205: Determine the marginal contribution rate of each entity based on the target total revenue, entity revenue, and combined revenue, so as to allocate the target total revenue according to the marginal contribution rate; the marginal contribution rate is used to characterize the degree of contribution of the entity to the target total revenue of the cooperative alliance.

[0056] Specifically, step S205 includes:

[0057] Step S2051: Determine the weight of each set in which each subject participates based on the number of subjects in the multiple sets in which each subject participates and the total number of subjects in the multiple sets in which each subject participates.

[0058] The three main entities in this embodiment of the invention are a wind and solar power station, a pumped storage power station, and a regional power grid, which can result in 7 sets: set 1: wind and solar power station; set 2: pumped storage power station; set 3: regional power grid; set 4: wind and solar power station and pumped storage power station; set 5: wind and solar power station and regional power grid; set 6: pumped storage power station and regional power grid; set 7: wind and solar power station, pumped storage power station, and regional power grid.

[0059] For example, the formula for determining the weight of each set in which each subject participates is:

[0060]

[0061] Where ω is the weight of each set in which each subject participates, S is any set that does not contain subject i, |S| is the number of subjects in set S, n is the total number of subjects, and |S|! is the factorial operation on the number of subjects in set S.

[0062] Step S2052: Based on the target total return, the entity's return, and the portfolio return, determine the return increment for each set in which each entity participates.

[0063] The formula for the incremental revenue of each set in which each entity participates is:

[0064] Δv=v(S∪{j})-v(S)

[0065] Where Δv is the incremental revenue of each set in which each subject participates, {j} is a set containing only subject j, v(S∪{j}) is the revenue of any set S that does not contain subject j when cooperating with {j}, and v(S) is the revenue of any set that does not contain subject j when subjects within the set cooperate.

[0066] Step S2053: Based on the product of the incremental revenue of each set in which each subject participates and the corresponding weight, multiple product results are obtained.

[0067] Step S2054: Summate the multiple product results to obtain the marginal contribution rate of each subject.

[0068] For example, the formula for determining the marginal contribution rate of each entity is:

[0069]

[0070] in, Let $\mathbf{j}$ be the marginal contribution rate of subject $j$, $N$ be the set of all cooperating subjects, $N\{j}$ be the difference operation of the sets, that is, the set of subjects remaining after removing $i$ from $N$, $S$ be any set that does not contain subject $j$, $|S|$ be the number of subjects in set $S$, $n$ be the total number of subjects, $|S|!$ be the factorial operation of the number of subjects in set $S$, ${j}$ be the set that only contains subject $j$, $v(S∪{i})$ be the benefit when any set $S$ that does not contain subject $j$ cooperates with ${j}$, and $v(S)$ be the benefit when subjects within any set $S$ that does not contain subject $j$ cooperate.

[0071] Step S206: Using the allocation result of distributing the target total revenue according to the marginal contribution rate as a constraint, and the maximum target total revenue as the objective function, update and iterate multiple initial capacity configuration schemes until a preset stopping condition is reached to obtain the target capacity configuration scheme. The wind-solar-pumped-storage capacity is then configured according to this target capacity configuration scheme. For details, please refer to [link to details]. Figure 1 Step S106 of the illustrated embodiment will not be described again here.

[0072] This embodiment provides a capacity configuration method for wind-solar pumped-storage energy, which can be used with computer equipment. Figure 3 This is a flowchart of another capacity configuration method for wind-solar pumped-storage hydropower according to an embodiment of the present invention, as shown below. Figure 3 As shown, the process includes the following steps:

[0073] Initialize the optimization parameters of the joint operation system (i.e., the wind-solar-pumped storage system) and determine the typical day. The initial typical day is t. d =1; On a typical day, a cooperative alliance is formed based on wind and solar power plants, pumped storage power plants, and regional power grids. The alliance undergoes joint operation simulations in the power market, carbon market, and green certificate market to obtain the target total revenue, entity revenue, and combined revenue. It is determined whether the calculations for each typical day are complete. If not, the market joint operation simulation is performed for the next typical day until the calculations for each typical day are completed. If the calculations for each typical day are completed, the cooperative revenue (target total revenue) of the wind-solar-constant / variable speed pumped storage-regional alliance is output. The independent operating revenue of each entity and the cooperative operating revenue of each sub-alliance (combination) under multiple markets are calculated. Profit distribution is performed based on the Shapley value, and the net profit of the wind-solar-constant / variable speed pumped storage investment is calculated. An improved particle swarm optimization algorithm is used to optimize multiple initial capacity configuration schemes to obtain the optimal configuration scheme (i.e., the target capacity configuration scheme) for the wind-solar-constant / variable speed pumped storage system.

[0074] The joint operation of the electricity market includes the spot market (including bidding deviation penalties), the medium- and long-term trading market, and the ancillary services market; the joint operation of the carbon market includes thermal power units purchasing and selling carbon emission rights at market prices and wind-solar-storage system trading; the joint operation of the green certificate market includes thermal power units purchasing green certificates at market prices, wind-solar-pumped storage systems selling green certificates at market prices, and thermal power units trading with wind-solar-pumped storage systems at internal prices.

[0075] In some alternative implementations, the improved particle swarm algorithm includes: initializing the particle swarm parameters with the basic data (capacity configuration parameters of the target capacity configuration scheme), configuring parameter i=1, calculating the net profit of the wind-solar-constant / variable speed pumped storage system under the i-th configuration scheme, updating the individual and global maximum net profit, updating the inertia weight, particle velocity and position, continuously iterating until the termination condition is reached, and outputting the optimal configuration scheme of the wind-solar-constant / variable speed pumped storage system.

[0076] This embodiment also provides a capacity configuration device for wind-solar pumped-storage energy, which is used to implement the above embodiments and preferred embodiments; details already described will not be repeated. As used below, the term "module" can refer to a combination of software and / or hardware that performs a predetermined function. Although the device described in the following embodiments is preferably implemented in software, hardware implementation, or a combination of software and hardware, is also possible and contemplated.

[0077] This embodiment provides a capacity configuration device for wind-solar pumped-storage energy, such as... Figure 4 As shown, it includes:

[0078] The initial capacity determination module 401 is used to randomly generate multiple initial capacity configuration schemes based on the capacity configuration parameters of the wind-solar pumped storage system; the wind-solar pumped storage system is a system that coordinates the operation of wind-solar power stations, pumped storage power stations and regional power grids.

[0079] The total revenue determination module 402 is used to determine the target total revenue of the cooperative alliance under each initial capacity configuration scheme, taking the wind and solar power station, pumped storage power station and regional power grid as a cooperative alliance; the target total revenue is the sum of the cooperative alliance's electricity market revenue, carbon market revenue and green certificate market revenue.

[0080] The entity revenue determination module 403 is used to determine the entity revenue corresponding to each entity under each initial capacity configuration scheme, taking wind and solar power stations, pumped storage power stations and regional power grids as entities respectively; the entity revenue is the sum of the entity's electricity market revenue, carbon market revenue and green certificate market revenue.

[0081] The combined revenue determination module 404 is used to combine wind and solar power plants, pumped storage power plants and regional power grids in pairs to determine the combined revenue of each combination under each initial capacity configuration scheme; the combined revenue is the sum of the combined electricity market revenue, carbon market revenue and green certificate market revenue.

[0082] The contribution rate determination module 405 is used to determine the marginal contribution rate of each entity based on the target total revenue, entity revenue, and combined revenue, so as to allocate the target total revenue according to the marginal contribution rate; the marginal contribution rate is used to characterize the degree of contribution of the entity to the target total revenue of the cooperative alliance.

[0083] The capacity configuration module 406 is used to update and iterate multiple initial capacity configuration schemes with the allocation result of allocating the target total revenue according to the marginal contribution rate as a constraint and the maximum target total revenue as the objective function, until a preset stopping condition is reached to obtain the target capacity configuration scheme, and to configure the capacity of wind and solar pumped storage according to the target capacity configuration scheme.

[0084] In some alternative implementations, the capacity configuration device for wind-solar pumped storage includes:

[0085] The clustering analysis module is used to obtain historical wind and solar power data, perform clustering analysis on the historical wind and solar power data, and obtain multiple cluster groups.

[0086] The typical scenario determination module is used to select typical days in each cluster group and obtain typical scenarios based on multiple typical days; the capacity configuration parameters are the capacity configuration parameters under the typical scenarios.

[0087] In some alternative implementations, the total revenue determination module 402 includes:

[0088] The total revenue determination unit is used to construct a joint operation model under each initial capacity configuration scheme, with wind and solar power plants, pumped storage power plants, and regional power grids as cooperative alliances. With the goal of maximizing revenue, the joint operation model is used to simulate the electricity market, carbon market, and green certificate market to obtain the target total revenue of the cooperative alliance under each initial capacity configuration scheme.

[0089] In some optional implementations, the principal revenue determination module 403 includes:

[0090] The entity revenue determination unit is used to construct an entity operation model for each entity under each initial capacity configuration scheme, taking wind and solar power plants, pumped storage power plants, and regional power grids as entities respectively. With the goal of minimizing operating costs, the entity operation model is used to simulate the electricity market, carbon market, and green certificate market to obtain the entity revenue corresponding to each entity under each initial capacity configuration scheme.

[0091] In some optional implementations, the combined benefit determination module 404 includes:

[0092] The combined revenue determination unit is used to combine wind and solar power plants, pumped storage power plants and regional power grids in pairs to obtain multiple combinations, and to construct a combined operation model for each combination under each initial capacity configuration scheme. With the goal of minimizing operating costs, the combined operation model is used to simulate the electricity market, carbon market and green certificate market to obtain the combined revenue of each combination under each initial capacity configuration scheme.

[0093] In some alternative implementations, the contribution rate determination module 405 includes:

[0094] The weight determination unit is used to determine the weight of each set in which each subject participates, based on the number of subjects in the multiple sets in which each subject participates and the total number of subjects in the multiple sets in which each subject participates.

[0095] The revenue increment determination unit is used to determine the revenue increment of each set in which each entity participates, based on the target total revenue, entity revenue, and portfolio revenue.

[0096] The product unit is used to obtain multiple product results by multiplying the incremental revenue of each set in which each subject participates with the corresponding weight.

[0097] The contribution rate determination unit is used to sum the results of multiple products to obtain the marginal contribution rate of each subject.

[0098] Further functional descriptions of the above modules and units are the same as those in the corresponding embodiments described above, and will not be repeated here.

[0099] In this embodiment, the capacity configuration device for wind-solar pumped-storage energy is presented in the form of functional units. Here, a unit refers to an ASIC (Application Specific Integrated Circuit) circuit, a processor and memory that execute one or more software or fixed programs, and / or other devices that can provide the above functions.

[0100] This invention also provides a computer device having the above-described features. Figure 5 The capacity configuration device for wind-solar pumped storage is shown.

[0101] Please see Figure 5 , Figure 5 This is a schematic diagram of the structure of a computer device provided in an optional embodiment of the present invention, such as... Figure 5 As shown, the computer device includes one or more processors 10, memory 20, and interfaces for connecting the components, including high-speed interfaces and low-speed interfaces. The components communicate with each other via different buses and can be mounted on a common motherboard or otherwise installed as needed. The processors can process instructions executed within the computer device, including instructions stored in or on memory to display graphical information of a GUI on external input / output devices (such as display devices coupled to the interfaces). In some alternative implementations, multiple processors and / or multiple buses can be used with multiple memories and multiple memory modules, if desired. Similarly, multiple computer devices can be connected, each providing some of the necessary operations (e.g., as a server array, a group of blade servers, or a multiprocessor system). Figure 5 Take a processor 10 as an example.

[0102] Processor 10 may be a central processing unit, a network processor, or a combination thereof. Processor 10 may further include a hardware chip. The hardware chip may be an application-specific integrated circuit (ASIC), a programmable logic device (PLD), or a combination thereof. The programmable logic device may be a complex programmable logic device (CAMP), a field-programmable gate array (FPGA), a general-purpose array logic (GDA), or any combination thereof.

[0103] The memory 20 stores instructions executable by at least one processor 10 to cause the at least one processor 10 to perform the method shown in the above embodiments.

[0104] The memory 20 may include a program storage area and a data storage area. The program storage area may store the operating system and applications required for at least one function; the data storage area may store data created based on the use of the computer device. Furthermore, the memory 20 may include high-speed random access memory and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device. In some alternative embodiments, the memory 20 may optionally include memory remotely located relative to the processor 10, and these remote memories may be connected to the computer device via a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

[0105] The memory 20 may include volatile memory, such as random access memory; the memory may also include non-volatile memory, such as flash memory, hard disk or solid-state drive; the memory 20 may also include a combination of the above types of memory.

[0106] The computer device also includes a communication interface 30 for communicating with other devices or communication networks.

[0107] This invention also provides a computer-readable storage medium. The methods described above according to embodiments of the invention can be implemented in hardware or firmware, or implemented as computer code that can be recorded on a storage medium, or implemented as computer code downloaded via a network and originally stored on a remote storage medium or a non-transitory machine-readable storage medium and then stored on a local storage medium. Thus, the methods described herein can be processed by software stored on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. The storage medium can be a magnetic disk, optical disk, read-only memory, random access memory, flash memory, hard disk, or solid-state drive, etc.; further, the storage medium can also include combinations of the above types of memory. It is understood that computers, processors, microprocessor controllers, or programmable hardware include storage components capable of storing or receiving software or computer code, which, when accessed and executed by the computer, processor, or hardware, implements the methods shown in the above embodiments.

[0108] A portion of this invention can be applied as a computer program product, such as computer program instructions, which, when executed by a computer, can invoke or provide the methods and / or technical solutions according to the invention through the operation of the computer. Those skilled in the art will understand that the forms in which computer program instructions exist in a computer-readable medium include, but are not limited to, source files, executable files, installation package files, etc. Correspondingly, the ways in which computer program instructions are executed by a computer include, but are not limited to: the computer directly executing the instructions, or the computer compiling the instructions and then executing the corresponding compiled program, or the computer reading and executing the instructions, or the computer reading and installing the instructions and then executing the corresponding installed program. Here, the computer-readable medium can be any available computer-readable storage medium or communication medium accessible to a computer.

[0109] Although embodiments of the invention have been described in conjunction with the accompanying drawings, those skilled in the art can make various modifications and variations without departing from the spirit and scope of the invention, and such modifications and variations all fall within the scope defined by the appended claims.

Claims

1. A method for configuring the capacity of wind-solar-pumped hydro storage, characterized in that, The method includes: Based on the capacity configuration parameters of the wind-solar pumped storage system, multiple initial capacity configuration schemes are randomly generated; the wind-solar pumped storage system is a system in which wind and solar power stations, pumped storage power stations, and regional power grids operate in coordination. The wind and solar power plants, the pumped storage power plants, and the regional power grid are considered as a cooperative alliance. The target total revenue of the cooperative alliance under each initial capacity configuration scheme is determined. The target total revenue is the sum of the cooperative alliance's electricity market revenue, carbon market revenue, and green certificate market revenue. Taking the wind and solar power station, the pumped storage power station, and the regional power grid as the main entities, the corresponding main entity revenue for each entity under each initial capacity configuration scheme is determined; the main entity revenue is the sum of the main entity's electricity market revenue, carbon market revenue, and green certificate market revenue. The wind and solar power plants, the pumped storage power plants, and the regional power grid are combined in pairs to determine the combined revenue of each combination under each initial capacity configuration scheme; the combined revenue is the sum of the electricity market revenue, carbon market revenue, and green certificate market revenue of the combination. Based on the target total revenue, the entity revenue, and the combined revenue, a marginal contribution rate is determined for each entity, and the target total revenue is allocated according to the marginal contribution rate; the marginal contribution rate is used to characterize the degree of contribution of the entity to the target total revenue of the cooperative alliance; Using the allocation result of distributing the target total revenue according to the marginal contribution rate as a constraint, and taking the maximum target total revenue as the objective function, the multiple initial capacity configuration schemes are updated and iterated until a preset stopping condition is reached to obtain the target capacity configuration scheme, and the capacity configuration of wind-solar pumped storage is carried out according to the target capacity configuration scheme.

2. The method according to claim 1, characterized in that, Before randomly generating multiple initial capacity configuration schemes based on the capacity configuration parameters of the wind-solar pumped storage system, the method further includes: Historical wind and solar power data are acquired, and cluster analysis is performed on the historical wind and solar power data to obtain multiple cluster groups; Typical days are selected in each cluster group, and typical scenarios are obtained based on multiple typical days; the capacity configuration parameters are the capacity configuration parameters under the typical scenarios.

3. The method according to claim 1 or 2, characterized in that, The step of forming a cooperative alliance with the wind and solar power station, the pumped storage power station, and the regional power grid, and determining the target total revenue of the cooperative alliance under each initial capacity configuration scheme, includes: Using the wind and solar power station, the pumped storage power station, and the regional power grid as a cooperative alliance, a joint operation model is constructed under the configuration of each of the initial capacity configuration schemes; With the goal of maximizing profits, the joint operation model is used to simulate the electricity market, carbon market, and green certificate market to obtain the target total profit of the cooperative alliance under each of the initial capacity configuration schemes.

4. The method according to claim 1 or 2, characterized in that, The step of taking the wind and solar power station, the pumped storage power station, and the regional power grid as entities, and determining the corresponding entity revenue for each entity under each initial capacity configuration scheme, includes: Taking the wind and solar power station, the pumped storage power station, and the regional power grid as the main entities, a main entity operation model corresponding to each of the main entities under each of the initial capacity configuration schemes is constructed. With the goal of minimizing operating costs, the main operating model is used to simulate the electricity market, carbon market, and green certificate market to obtain the main entity revenue for each entity under each initial capacity configuration scheme.

5. The method according to claim 1 or 2, characterized in that, The step of combining the wind and solar power plants, the pumped storage power plants, and the regional power grid in pairs, and determining the combined benefits of each combination under each initial capacity configuration scheme, includes: Multiple combinations are obtained by pairwise combinations of the wind and solar power station, the pumped storage power station and the regional power grid, and a combined operation model corresponding to each combination under each initial capacity configuration scheme is constructed. With the goal of minimizing operating costs, the combined operation model is used to simulate the electricity market, carbon market, and green certificate market to obtain the combined revenue of each combination under each initial capacity configuration scheme.

6. The method according to claim 1 or 2, characterized in that, The step of determining the marginal contribution rate of each entity based on the target total revenue, the entity revenue, and the combined revenue includes: The weight of each set in which each subject participates is determined based on the number of subjects in the multiple sets in which each subject participates and the total number of subjects in the multiple sets in which each subject participates. Based on the target total revenue, the entity revenue, and the combined revenue, determine the revenue increment for each set in which each entity participates; Multiple product results are obtained by multiplying the incremental revenue of each set in which each subject participates with the corresponding weight; The marginal contribution rate of each subject is obtained by summing the multiple product results.

7. A capacity configuration device for wind-solar-pumped hydro storage, characterized in that, The device includes: The initial capacity determination module is used to randomly generate multiple initial capacity configuration schemes based on the capacity configuration parameters of the wind-solar pumped storage system; the wind-solar pumped storage system is a system in which wind-solar power stations, pumped storage power stations and regional power grids operate in coordination. The total revenue determination module is used to identify the wind and solar power station, the pumped storage power station, and the regional power grid as a cooperative alliance, and determine the target total revenue corresponding to the cooperative alliance under each initial capacity configuration scheme; the target total revenue is the sum of the cooperative alliance's electricity market revenue, carbon market revenue, and green certificate market revenue; The entity revenue determination module is used to determine the entity revenue corresponding to each entity under each initial capacity configuration scheme, taking the wind and solar power station, the pumped storage power station, and the regional power grid as entities respectively; the entity revenue is the sum of the entity's electricity market revenue, carbon market revenue, and green certificate market revenue; The combined revenue determination module is used to combine the wind and solar power plants, the pumped storage power plants, and the regional power grid in pairs to determine the combined revenue of each combination under each initial capacity configuration scheme; the combined revenue is the sum of the electricity market revenue, carbon market revenue, and green certificate market revenue of the combination; The contribution rate determination module is used to determine the marginal contribution rate of each entity based on the target total revenue, the entity revenue, and the combined revenue, so as to allocate the target total revenue according to the marginal contribution rate; the marginal contribution rate is used to characterize the degree of contribution of the entity to the target total revenue of the cooperative alliance; The capacity configuration module is used to update and iterate multiple initial capacity configuration schemes with the allocation result of allocating the target total revenue according to the marginal contribution rate as a constraint and the maximum target total revenue as the objective function, until a preset stopping condition is reached to obtain a target capacity configuration scheme, so as to configure the capacity of wind and solar pumped storage according to the target capacity configuration scheme.

8. A computer device, characterized in that, include: The system includes a memory and a processor, which are interconnected. The memory stores computer instructions, and the processor executes the computer instructions to perform the capacity configuration method for wind-solar pumped-storage hydropower as described in any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions for causing the computer to execute the capacity configuration method of wind-solar pumped-storage energy according to any one of claims 1 to 6.

10. A computer program product, characterized in that, Includes computer instructions, which are used to cause a computer to execute the capacity configuration method for wind-solar pumped-storage energy according to any one of claims 1 to 6.

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