Shared energy storage and new energy coordinated regulation and control method based on income distribution strategy

Abstract

The invention relates to the technical field of shared energy storage optimization regulation and control, and discloses a shared energy storage and new energy coordinated regulation and control method based on a profit distribution strategy, and the method comprises the steps: constructing a total alliance model comprising a distributed wind power model, a distributed photovoltaic model and a shared energy storage model; based on the difference of the subjects participating in the alliance, constructing a plurality of operation scenes of the alliance; taking collaborative operation of all the main bodies as a maximum alliance scene, and calculating the total alliance income of the main bodies; for each operation scene of the alliance, calculating the historical credibility, deviation adjustment contribution degree and profit increase contribution degree of each subject to construct a Shapley value distribution correction factor of each subject, and constructing a correction profit distribution model corresponding to each subject in the alliance with the total alliance profit in the maximum alliance scene; and calculating the actual revenue of the shared energy storage station, maximizing the actual revenue of the shared energy storage station based on preset alliance operation constraints, and obtaining a shared energy storage optimal regulation and control strategy to carry out coordinated regulation and control on the shared energy storage station.

Description

Technical Field

[0001] The present invention relates to the technical field of shared energy storage optimization and control, and in particular to a method for coordinated control of shared energy storage and new energy based on a revenue distribution strategy. Background Art

[0002] At present, the world is facing the challenge of the depletion of traditional fossil energy and the serious environmental problems it has caused. It is necessary to actively promote the transformation and upgrading of the energy system, and the energy system is gradually turning to low-carbon, clean and sustainable development. Therefore, as a new energy generation technology that promotes the low-carbon and clean transformation of the power system, it has ushered in a booming development. At the same time, it is necessary to build a new power system that adapts to a high proportion of new energy. A high proportion of new energy also brings new challenges to the operation and control of the new power system.

[0003] With the advancement of the construction of new power systems, distributed power sources are connected on a large scale. Their indirectness, volatility, and mismatch with load demand have increased the uncertainty and randomness of power grid operation, increased the risk and difficulty of power grid operation management, and put forward higher requirements for the scientific management and operation of power grids. Energy storage is an important means to solve the random uncertainty of new energy. Limited by factors such as the cost and service life of energy storage, the configuration cost of new energy storage alone is relatively high. At the same time, the distributed new energy storage in the distribution station area is limited by the installation location and safety, and the feasibility of new energy storage alone is low. With the development of the sharing economy, shared energy storage is gradually being built. In the distribution station area, energy storage operators install independent energy storage devices. All distributed new energy devices can use shared energy storage devices by renting or purchasing to smooth their volatility and enhance their competitiveness in the power market. Shared energy storage can reduce the configuration capacity of energy storage equipment and improve the utilization rate of energy storage devices, and gradually become the mainstream supporting facilities for distributed new energy construction.

[0004] Due to the limitation of energy storage capacity and power, shared energy storage needs to formulate its regulation and operation strategy in advance during operation, and reserve corresponding power and capacity for users of shared energy storage to meet the daily operation needs. For energy storage operators, when determining the regulation strategy, their goal is to maximize their revenue based on the strategies of other participants; the existing literature mostly calculates the revenue from electricity sales in the power market when shared energy storage participates. With the construction of shared energy storage, the investment of shared energy storage has a certain positive effect on reducing the abandonment of new energy due to fluctuations and randomness, improving the power grid's ability to absorb new energy, improving the revenue of distributed power sources, and reducing the market deviation assessment of new energy output fluctuations. In addition to the revenue from electricity sales, shared energy storage can obtain additional revenue through signing energy contracts and revenue distribution, so shared energy storage and distributed power sources form an interest alliance; but the existing methods do not take into account the impact of shared energy storage and distributed power sources as an interest alliance on the power grid and the market.

[0005] In summary, when facing a complex alliance of multiple entities, the existing technology is unable to clearly define the contribution of distributed new energy stations and shared energy storage to the overall revenue increase of the distributed new energy stations and shared energy storage alliance in participating in the electricity market, as well as the responsibility for reduced revenue, and thus is unable to distribute revenue based on rights and responsibilities, resulting in the inability to fully tap the regulation potential of distributed new energy stations and shared energy storage, and the inability to reasonably and effectively dispatch resources, affecting the safe, reliable operation and stable and sustainable development of the power grid. Summary of the invention

[0006] To this end, the technical problem to be solved by the present invention is to overcome the problem in the prior art that the mutual influence and profit deviation between the various entities in the alliance cannot be clearly defined, resulting in the inability to distribute profits according to rights and responsibilities, and thus the inability to give full play to the regulation potential of distributed new energy stations and shared energy storage, and the inability to reasonably and effectively dispatch resources, affecting the safe and reliable operation and stable and sustainable development of the power grid.

[0007] In order to solve the above technical problems, the present invention provides a method for coordinated regulation of shared energy storage and new energy based on a revenue distribution strategy, comprising: Based on the various entities involved in the coordinated regulation of shared energy storage and new energy, an overall alliance model including a distributed wind power model, a distributed photovoltaic model and a shared energy storage model is constructed; the entities include distributed photovoltaic stations, distributed wind power stations and shared energy storage stations; Based on the differences in the entities involved in the coordinated regulation of shared energy storage and new energy in the overall alliance model, multiple alliance operation scenarios are constructed; among them, the alliance operation scenario in which all entities participate in the coordinated regulation of shared energy storage and new energy is the largest alliance scenario; Based on the electricity sales revenue, operating costs and deviation assessment costs of shared energy storage stations in the alliance's largest scenario, calculate the total alliance revenue in the alliance's largest scenario; For each operation scenario of the alliance, the historical credibility of each entity is calculated based on the historical response capabilities of each entity in the alliance; based on the overall deviation assessment of the alliance, the standard Shapley value method is used to calculate the deviation adjustment contribution of each entity to the alliance; based on the total income of the alliance, the contribution of each entity to the profit growth of the alliance is calculated; For each entity in the alliance, a Shapley value allocation correction factor corresponding to each entity is constructed based on the historical reputation, deviation adjustment contribution and profit growth contribution of the entity; Based on the Shapley value corresponding to each subject, the correction factor is assigned to improve the standard Shapley value method to obtain the improved Shapley value method corresponding to each subject; Based on the improved Shapley value method corresponding to each subject and the total alliance revenue under the maximum alliance scenario, a modified revenue distribution model corresponding to each subject in the alliance is constructed; Calculate the actual revenue of the shared energy storage station based on the operating cost of the shared energy storage station and the revenue distribution result calculated by the modified revenue distribution model corresponding to the shared energy storage station; Based on the preset alliance operation constraints, with the maximization of the actual benefits of shared energy storage stations as the optimization goal, the optimal regulation strategy of shared energy storage stations is obtained, and the shared energy storage stations in the alliance are coordinated and regulated.

[0008] Preferably, the alliance master model including a distributed wind power model, a distributed photovoltaic model and a shared energy storage model is constructed based on various entities participating in the coordinated regulation of shared energy storage and new energy, including: The distributed wind power model is expressed as: ; in, Indicates that distributed wind farms are located at The day-ahead predicted output power at time; express The actual wind speed at the hub height of the wind turbine in the distributed wind farm at any given moment, Indicates the preset cut-in wind speed. Indicates the preset cut-out wind speed. Indicates the preset rated wind speed; Indicates the rated power of the distributed wind farm; Distributed photovoltaic model, expressed as: ; in, Indicates that distributed photovoltaic field is stationed at The day-ahead predicted output power at time; It represents the comprehensive photoelectric conversion efficiency; Represents the photovoltaic array area of ​​the distributed photovoltaic station; express The light intensity per unit area at the moment; The shared energy storage model is expressed as: , ; in, For shared energy storage sites exist The actual power at the moment, For shared energy storage sites exist The actual power at the moment; Shared energy storage station exist The charging capacity at the time is expressed as , Indicates the preset charging efficiency, Shared energy storage station exist Charging power at the moment, Indicates the preset sampling time interval; Shared energy storage station exist The discharge capacity at the moment is expressed as , Shared energy storage station exist The discharge power at the moment, Indicates the preset discharge efficiency; Shared energy storage station exist The state of charge at the moment, Shared energy storage station The maximum capacity.

[0009] Preferably, based on the differences in the entities participating in the coordinated regulation of shared energy storage and new energy in the overall alliance model, multiple operation scenarios of the alliance are constructed, including a distributed wind farm single operation scenario, a distributed photovoltaic station single operation scenario, a distributed wind farm and shared energy storage station collaborative operation scenario, a distributed photovoltaic station and shared energy storage station collaborative operation scenario, and the largest alliance scenario in which all entities participate in the coordinated regulation of shared energy storage and new energy.

[0010] Preferably, the total alliance revenue under the maximum alliance scenario is calculated based on the electricity sales revenue under the maximum alliance scenario, the operating cost of the shared energy storage station, and the deviation assessment cost, and is expressed as: ; in, , Indicates the total number of sampling moments in a scheduling cycle; Indicates the day The revenue of electricity sales of the alliance at the moment is expressed as , express The alliance and the power grid clear interactive electricity prices in real time. express The actual output of wind turbines at any given moment. express Actual photovoltaic output at all times; Shared energy storage station exist Charging power at the moment, Shared energy storage station exist Discharge power at the moment; Shared energy storage station exist The running cost at the moment is expressed as , Shared energy storage station The unit electricity operating cost; It represents the deviation assessment cost, and the expression is ; express The deviation assessment electricity price at the time is expressed as , Indicates the basic deviation assessment electricity price; and They represent the positive deviation assessment coefficient and the negative deviation assessment coefficient respectively; express The deviation between the actual power of the alliance at the moment and the day-ahead clearing curve is expressed as , Indicates that distributed wind farms are located at The day-ahead predicted output power at time, Indicates that distributed photovoltaic field is stationed at The day-ahead predicted output power at time.

[0011] Preferably, the historical credibility of each subject is calculated based on the historical response capability of each subject in the alliance; the deviation adjustment contribution of each subject to the alliance is calculated using the standard Shapley value method based on the overall deviation assessment of the alliance; and the contribution of each subject to the profit growth of the alliance is calculated based on the total income of the alliance, including: Based on the historical response capabilities of each entity in the alliance, the historical credibility of each entity is calculated, which is expressed as: ; in, Represents the subject in the alliance The number of valid responses within the historical preset time period; Representing the subject The expected total number of responses within a historical preset time period; Based on the overall deviation assessment of the alliance, the standard Shapley value method is used to calculate the deviation adjustment contribution of each entity to the alliance, which is expressed as: ; in, Representing the subject The bias-adjusted contribution of Indicates the alliance Operational scenarios Adjusted deviation contribution value of The first Operational scenarios Remove the subject The subsequent adjustment deviation contribution value; weight Indicates the alliance Operational scenarios The probability of occurrence, Indicates the alliance Operational scenarios The total number of subjects in , Indicates the number of entities in the largest scenario of the alliance; , Indicates that the alliance's operating scenario contains a subject The total number of running scenarios; Based on the total revenue of the alliance, the contribution of each entity to the profit growth of the alliance is calculated, which is expressed as: ; in, Main body of income; The first Operational scenarios of income; The first Operational scenarios Remove the subject The subsequent benefits; The first Operational scenarios overall revenue increase.

[0012] Preferably, for each subject in the alliance, based on the historical reputation, deviation adjustment contribution and profit growth contribution of the subject, a Shapley value allocation correction factor corresponding to each subject is constructed, including: Based on the historical reputation, deviation adjustment contribution and profit growth contribution of each entity in the alliance, the entity The Shapley value of is assigned a correction factor, expressed as: ; Represents the historical reputation sequence , Deviation Adjustment Contribution Sequence Profit growth contribution series Middle The historical reputation, deviation adjustment contribution and profit growth contribution of each entity, ; , and are the weight coefficients of historical credibility, deviation adjustment contribution and profit growth contribution, .

[0013] Preferably, the modified profit distribution model corresponding to each subject in the alliance is constructed based on the improved Shapley value method corresponding to each subject and the total alliance profit in the maximum alliance scenario, including: The benefits of each entity are calculated based on the classic Shapley value method, expressed as: ; Assign correction factors based on the corresponding Shapley value for each subject The classic Shapley value method is used to calculate the benefits of each subject and obtain the modified benefit distribution model corresponding to each subject, which is expressed as: ; in, is the total revenue of the alliance under the largest scenario; Main body The profit distribution results under the classic Shapley value method; Main body The income distribution results under the improved Shapley value method; weight Indicates the alliance Operational scenarios The probability of occurrence, Indicates the alliance Operational scenarios The total number of subjects in , Indicates the number of entities in the largest scenario of the alliance; , Indicates that the alliance's operating scenario contains a subject The total number of running scenarios.

[0014] Preferably, the actual income of the shared energy storage station is calculated based on the operating cost of the shared energy storage station and the income distribution result calculated by the modified income distribution model corresponding to the shared energy storage station, which is expressed as: ; in, It represents the net income of the shared energy storage station in a dispatch cycle; , Indicates the total number of sampling moments in a scheduling cycle; Shared energy storage station The corresponding modified profit distribution model calculates the profit distribution result, and the expression is: , Indicates that the subject is a shared energy storage station The profit distribution result under the classic Shapley value method is: Indicates that the subject is a shared energy storage station The corresponding Shapley value distribution correction factor is, is the total revenue of the alliance under the largest scenario; Shared energy storage station exist The running cost at the moment is expressed as , Shared energy storage station The unit electricity operating cost is Shared energy storage station exist Charging power at the moment, Shared energy storage station exist The discharge power at the moment.

[0015] Preferably, the preset alliance operation constraints include alliance electric power balance constraints, shared energy storage charging and discharging constraints, shared energy storage charge state constraints, wind power output constraints and photovoltaic output constraints.

[0016] Preferably, the particle swarm algorithm is used to update the control strategy of the shared energy storage station until the optimal control strategy of the shared energy storage station that maximizes the actual benefit of the shared energy storage station is obtained.

[0017] The above technical solution of the present invention has the following beneficial effects compared with the prior art: The method for coordinated regulation of shared energy storage and new energy based on the profit distribution strategy described in the present invention constructs the Shapley value allocation correction factor corresponding to each subject based on the historical credibility, deviation adjustment contribution and profit growth contribution of each subject in the alliance, improves the standard Shapley value method, and obtains the improved Shapley value method corresponding to each subject; based on the improved Shapley value method, the marginal contribution provided by different subjects to the total revenue of the alliance is studied, which not only considers the independent contribution of each subject, but also considers the interaction between the subjects, so that the division of responsibilities and contributions of each subject in the alliance is more fair and reasonable, and the deviation responsibility of each subject in the optimization and regulation process is clarified. In addition, the present invention improves the revenue of shared energy storage stations, accelerates the recovery of energy storage costs, gives full play to the regulation potential of shared energy storage stations, and promotes the consumption of distributed new energy; at the same time, it ensures the safe and reliable operation of the power grid and maintains the stable and sustainable development of the power system. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to make the content of the present invention more clearly understood, the present invention is further described in detail below according to specific embodiments of the present invention in conjunction with the accompanying drawings, wherein: Figure 1 It is a flowchart of the steps of the method for coordinated regulation of shared energy storage and new energy based on the profit distribution strategy provided by the present invention; Figure 2 It is a structural diagram of the overall alliance model constructed in the embodiment of the present invention; Figure 3 It is a schematic diagram for obtaining the optimal control strategy for the shared energy storage station provided by the present invention. DETAILED DESCRIPTION

[0019] The present invention is further described below in conjunction with the accompanying drawings and specific embodiments so that those skilled in the art can better understand the present invention and implement it, but the embodiments are not intended to limit the present invention.

[0020] Reference Figure 1 As shown, the step flow chart of the method for coordinated regulation of shared energy storage and new energy based on the profit distribution strategy provided by the present invention includes the following specific steps: S101: Based on various entities participating in the coordinated regulation of shared energy storage and new energy, a general alliance model including a distributed wind power model, a distributed photovoltaic model and a shared energy storage model is constructed; the entities include distributed photovoltaic stations, distributed wind power stations and shared energy storage stations; S102: Based on the differences in the entities participating in the coordinated regulation of shared energy storage and new energy in the overall alliance model, construct multiple operation scenarios of the alliance, including a distributed wind farm station operating alone scenario, a distributed photovoltaic station operating alone scenario, a distributed wind farm station and a shared energy storage station operating in coordination, a distributed photovoltaic station and a shared energy storage station operating in coordination, and a maximum alliance scenario in which all entities participate in the coordinated regulation of shared energy storage and new energy; Among them, the alliance operation scenario where all entities participate in the coordinated regulation of shared energy storage and new energy is the largest scenario of the alliance; S103: Calculate the total alliance revenue under the alliance’s maximum scenario based on the electricity sales revenue, the operating costs of the shared energy storage stations, and the deviation assessment costs; S104: For each operation scenario of the alliance, the historical credibility of each entity is calculated based on the historical response capabilities of each entity in the alliance; based on the overall deviation assessment of the alliance, the standard Shapley value method is used to calculate the deviation adjustment contribution of each entity to the alliance; based on the total income of the alliance, the contribution of each entity to the profit growth of the alliance is calculated; S105: For each entity in the alliance, based on the historical reputation, deviation adjustment contribution and profit growth contribution of the entity, a Shapley value allocation correction factor corresponding to each entity is constructed; S106: improving the standard Shapley value method based on the Shapley value corresponding to each subject and allocating a correction factor to obtain an improved Shapley value method corresponding to each subject; S107: Based on the improved Shapley value method corresponding to each subject and the total alliance revenue under the maximum alliance scenario, a modified revenue distribution model corresponding to each subject in the alliance is constructed; S108: Calculating the actual income of the shared energy storage station based on the operating cost of the shared energy storage station and the income distribution result calculated by the modified income distribution model corresponding to the shared energy storage station; S109: Based on the preset alliance operation constraints, taking the maximization of the actual benefits of the shared energy storage station as the optimization goal, obtaining the optimal control strategy of the shared energy storage station, and coordinating and controlling the shared energy storage stations in the alliance; The preset alliance operation constraints include alliance power balance constraints, shared energy storage charging and discharging constraints, shared energy storage charge state constraints, wind power output constraints and photovoltaic output constraints; This embodiment uses a particle swarm algorithm to update the control strategy of the shared energy storage station until an optimal control strategy of the shared energy storage station that maximizes the actual benefits of the shared energy storage station is obtained.

[0021] Specifically, in step S101, the overall alliance model constructed includes: The distributed wind power model is expressed as: ; in, Indicates that distributed wind farms are located at The day-ahead predicted output power at time; express The actual wind speed at the hub height of the wind turbine in the distributed wind farm at any given moment, Indicates the preset cut-in wind speed. Indicates the preset cut-out wind speed. Indicates the preset rated wind speed; Indicates the rated power of the distributed wind farm; Distributed photovoltaic model, expressed as: ; in, Indicates that distributed photovoltaic field is stationed at The day-ahead predicted output power at time; It represents the comprehensive photoelectric conversion efficiency; Represents the photovoltaic array area of ​​the distributed photovoltaic station; express The light intensity per unit area at the moment; The shared energy storage model is expressed as: , ; in, For shared energy storage sites exist The actual power at the moment, For shared energy storage sites exist The actual power at the moment; Shared energy storage station exist The charging capacity at the time is expressed as , Indicates the preset charging efficiency, Shared energy storage station exist Charging power at the moment, Indicates the preset sampling time interval; Shared energy storage station exist The discharge capacity at the moment is expressed as , Shared energy storage station exist The discharge power at the moment, Indicates the preset discharge efficiency; Shared energy storage station exist The state of charge at the moment, Shared energy storage station The maximum capacity.

[0022] Specifically, in step S103, the total alliance revenue under the maximum alliance scenario is expressed as: ; in, , Indicates the total number of sampling moments in a scheduling cycle; Indicates the day The revenue of electricity sales of the alliance at the moment is expressed as , express The alliance and the power grid clear interactive electricity prices in real time. express The actual output of wind turbines at any given moment. express Actual photovoltaic output at all times; Shared energy storage station exist Charging power at the moment, Shared energy storage station exist Discharge power at the moment; Shared energy storage station exist The running cost at the moment is expressed as , Shared energy storage station The unit electricity operating cost; It represents the deviation assessment cost, and the expression is ; express The deviation assessment electricity price at the time is expressed as , Indicates the basic deviation assessment electricity price; and They represent the positive deviation assessment coefficient and the negative deviation assessment coefficient respectively; express The deviation between the actual power of the alliance at the moment and the day-ahead clearing curve is expressed as , Indicates that distributed wind farms are located at The day-ahead predicted output power at time, Indicates that distributed photovoltaic field is stationed at The day-ahead predicted output power at time.

[0023] Specifically, in step S104, it includes: S104-1: Based on the historical response capabilities of each entity in the alliance, calculate the historical credibility of each entity, expressed as: ; in, Represents the subject in the alliance The number of valid responses within the historical preset time period; Representing the subject The expected total number of responses within a historical preset time period; S104-2: Based on the overall deviation assessment of the alliance, the standard Shapley value method is used to calculate the deviation adjustment contribution of each entity to the alliance, expressed as: ; in, Representing the subject The bias-adjusted contribution of Indicates the alliance Operational scenarios Adjusted deviation contribution value of The first Operational scenarios Remove the subject The subsequent adjustment deviation contribution value; weight Indicates the alliance Operational scenarios The probability of occurrence, Indicates the alliance Operational scenarios The total number of subjects in , Indicates the number of entities in the largest scenario of the alliance; , Indicates that the alliance's operating scenario contains a subject The total number of running scenarios; S104-3: Based on the total revenue of the alliance, calculate the contribution of each entity to the profit growth of the alliance, expressed as: ; in, Main body of income; The first Operational scenarios of income; The first Operational scenarios Remove the subject The subsequent benefits; The first Operational scenarios overall revenue increase.

[0024] Specifically, in step S105, a Shapley value distribution correction factor corresponding to each subject is constructed, including: Based on the historical reputation, deviation adjustment contribution and profit growth contribution of each entity in the alliance, the entity The Shapley value of is assigned a correction factor, expressed as: ; Represents the historical reputation sequence , Deviation Adjustment Contribution Sequence Profit growth contribution series Middle The historical reputation, deviation adjustment contribution and profit growth contribution of each entity, ; , and are the weight coefficients of historical credibility, deviation adjustment contribution and profit growth contribution, .

[0025] Specifically, in step S107, a modified profit distribution model corresponding to each entity in the alliance is constructed, including: S107-1: Calculate the benefits of each entity based on the classic Shapley value method, expressed as: ; S107-2: Assign correction factors based on the corresponding Shapley values ​​for each subject The classic Shapley value method is used to calculate the benefits of each subject and obtain the modified benefit distribution model corresponding to each subject, which is expressed as: ; in, is the total revenue of the alliance under the largest scenario; Main body The profit distribution results under the classic Shapley value method; Main body The income distribution results under the improved Shapley value method; weight Indicates the alliance Operational scenarios The probability of occurrence, Indicates the alliance Operational scenarios The total number of subjects in , Indicates the number of entities in the largest scenario of the alliance; , Indicates that the alliance's operating scenario contains a subject The total number of running scenarios.

[0026] Specifically, in S108, the actual revenue of the shared energy storage station is expressed as: ; in, It represents the net income of the shared energy storage station in a dispatch cycle; , Indicates the total number of sampling moments in a scheduling cycle; Shared energy storage station The corresponding modified profit distribution model calculates the profit distribution result, and the expression is: , Indicates that the subject is a shared energy storage station The profit distribution result under the classic Shapley value method is: Indicates that the subject is a shared energy storage station The corresponding Shapley value distribution correction factor is, is the total revenue of the alliance under the largest scenario; Shared energy storage station exist The running cost at the moment is expressed as , Shared energy storage station The unit electricity operating cost is Shared energy storage station exist Charging power at the moment, Shared energy storage station exist The discharge power at the moment.

[0027] Specifically, in an embodiment of the present invention, according to the control strategy of the shared energy storage station generated by the particle swarm algorithm, the actual profit maximization of the shared energy storage station is taken as the optimization goal, and the particle swarm algorithm is adopted to iteratively solve and obtain the optimal control strategy of the shared energy storage station; wherein, each physical quantity of the shared energy storage station is a value corresponding to the scheduling strategy of the shared energy storage station corresponding to the particles generated by the particle swarm optimization algorithm.

[0028] The method for coordinated regulation of shared energy storage and new energy based on the profit distribution strategy described in the present invention constructs the Shapley value allocation correction factor corresponding to each subject based on the historical credibility, deviation adjustment contribution and profit growth contribution of each subject in the alliance, improves the standard Shapley value method, and obtains the improved Shapley value method corresponding to each subject; based on the improved Shapley value method, the marginal contribution provided by different subjects to the total revenue of the alliance is studied, which not only considers the independent contribution of each subject, but also considers the interaction between the subjects, so that the division of responsibilities and contributions of each subject in the alliance is more fair and reasonable, and the deviation responsibility of each subject in the optimization and regulation process is clarified. In addition, the present invention improves the revenue of shared energy storage stations, accelerates the recovery of energy storage costs, gives full play to the regulation potential of shared energy storage stations, and promotes the consumption of distributed new energy; at the same time, it ensures the safe and reliable operation of the power grid and maintains the stable and sustainable development of the power system.

[0029] Based on the above embodiments, in the embodiments of the present invention, in order to solve the problem of optimizing the control of shared energy storage sites under the background of the increasing proportion of new energy, the rights and responsibilities of new energy and shared energy storage and the factors affecting the distribution of benefits are clarified, and a method for coordinating and controlling shared energy storage and new energy based on the benefit distribution strategy is designed; Figure 2As shown in FIG. 1 , the overall alliance model structure diagram constructed in this embodiment is a distributed wind farm, two distributed photovoltaic farms, and a supporting shared energy storage farm to construct an alliance operation scenario. The coordination and control method based on the alliance specifically includes: S201: Establish an alliance master model that includes one distributed wind farm, two distributed photovoltaic farms, and a supporting shared energy storage model, including: The distributed wind power model is expressed as: ; Distributed photovoltaic model, expressed as: ; In the formula, in, Indicates that distributed wind farms are located at The day-ahead predicted output power at time; express The actual wind speed at the hub height of the wind turbine in the distributed wind farm at any given moment, Indicates the preset cut-in wind speed. Indicates the preset cut-out wind speed. Indicates the preset rated wind speed; Indicates the rated power of the distributed wind farm; Indicates that distributed photovoltaic field is stationed at The day-ahead predicted output power at time; It represents the comprehensive photoelectric conversion efficiency; Represents the photovoltaic array area of ​​the distributed photovoltaic station; express The light intensity per unit area at the moment; The shared energy storage model is expressed as: , ; In the formula, For shared energy storage sites exist The actual power at the moment, For shared energy storage sites exist The actual power at the moment; Shared energy storage station exist The charging capacity at the time is expressed as , Indicates the preset charging efficiency, Shared energy storage station exist Charging power at the moment, Indicates the preset sampling time interval; Shared energy storage station exist The discharge capacity at the moment is expressed as , Shared energy storage station exist The discharge power at the moment, Indicates the preset discharge efficiency; Shared energy storage station exist The state of charge at the moment, Shared energy storage station The maximum capacity.

[0030] S202: Taking the maximization of the actual benefits of the shared energy storage site as the optimization goal, a shared energy storage optimization control model is established, and the particle swarm algorithm is used to solve it.

[0031] In an embodiment of the present invention, part of the revenue of the shared energy storage station is the revenue from electricity sales, and the other part is the revenue shared after participating in the alliance. Part of the total revenue of the alliance is the revenue from electricity sales settled according to the real-time electricity price, and part is the deviation assessment cost caused by the deviation between the actual power generation curve and the clearing curve. While maximizing the revenue of the shared energy storage station, a balance of benefits is formed among multiple entities within the alliance, including the shared energy storage station. Therefore, the distributed new energy and shared energy storage alliance, based on the premise of maximizing the absorption of wind power and photovoltaics, gives priority to calling on the resources of flexible shared energy storage stations for adjustment, formulates real-time optimization operation strategies, and reduces deviation electricity assessment costs. With the goal of maximizing the revenue of the shared energy storage station, the charging and discharging behavior of the shared energy storage station is determined.

[0032] The alliance's costs mainly include the call costs of shared energy storage sites and the deviation assessment costs, and its total profit is the electricity sales revenue minus the above total costs. The income of shared energy storage sites is the income from electricity sales and the income shared after participating in the alliance.

[0033] In this embodiment, a distributed wind farm, two distributed photovoltaic farms, and a supporting shared energy storage model are used as the alliance operation scenario in which all of them participate in the coordinated regulation of shared energy storage and new energy as the alliance's maximum scenario. Based on the electricity sales revenue, the operating cost of the shared energy storage farm, and the deviation assessment cost under the alliance's maximum scenario, the total alliance revenue under the alliance's maximum scenario is calculated and expressed as: ; The actual benefits of shared energy storage stations are expressed as: ; Among them, The revenue of electricity sales of the alliance at the moment is expressed as , express The alliance and the power grid clear interactive electricity prices in real time. express The actual output of wind turbines at any given moment. express Actual photovoltaic output at all times; Shared energy storage station exist Charging power at the moment, Shared energy storage station exist Discharge power at the moment; Shared energy storage station exist The running cost at the moment is expressed as , Deviation assessment cost, expressed as ; The deviation between the actual power of the alliance at the moment and the day-ahead clearing curve is expressed as , it is positive when the actual power is greater than the day-ahead clearing power; The deviation assessment electricity price at the time is expressed as , Indicates the basic deviation assessment electricity price; and They represent the positive deviation assessment coefficient and the negative deviation assessment coefficient respectively; S203: Starting from the historical response capabilities of the alliance's internal entities, the alliance's overall deviation assessment and the alliance's overall benefits, three indicators are proposed to evaluate the contribution of distributed new energy and shared energy storage to the alliance's overall benefits: historical credibility, deviation adjustment contribution and profit growth contribution.

[0034] ① In order to further clarify the contribution and rights and responsibilities of each subject to the overall benefits of the alliance, the historical compliance of each subject is taken into account in the distribution of benefits, and the historical reputation is included in the factors affecting the distribution of benefits, so as to encourage each subject to actively abide by the contract, so that the "loyal and stable" subject can obtain higher benefits, make the alliance operation more stable, and improve the absorption capacity of new energy. The historical reputation is expressed as:

[0035] ; in, Represents the subject in the alliance The number of valid responses within the historical preset time period; Representing the subject The expected total number of responses within a historical preset time period; The historical credibility is between 0 and 1; the closer it is to 1, the higher the proportion of effective responses of the subject and the better the credibility, and the larger the proportion it will receive in the distribution of benefits.

[0036] ② The ability of each entity to adjust the deviation is an important factor in determining the overall benefits of the alliance. The entity responsible for adjustment should receive economic compensation, and the entity that causes the deviation should bear the corresponding punishment. When distributing benefits, it is necessary to consider each entity's contribution to the adjustment of the alliance deviation.

[0037] The deviation adjustment contribution of a subject is defined as the change in the overall deviation assessment of the alliance when the subject participates in the alliance combination. It is obtained by the Shapley value method based on various operation scenarios of the alliance with the deviation adjustment contribution as the characteristic function, and is expressed as: ; In the formula, Representing the subject The bias-adjusted contribution of Indicates the alliance Operational scenarios Adjusted deviation contribution value of The first Operational scenarios Remove the subject The subsequent adjustment deviation contribution value; weight Indicates the alliance Operational scenarios The probability of occurrence, Indicates the alliance Operational scenarios The total number of subjects in , Indicates the number of entities in the largest scenario of the alliance; , Indicates that the alliance's operating scenario contains a subject The total number of running scenarios; Bias-adjusted contribution can be reflected in all included entities In the alliance operation scenario, the contribution of each subject to adjusting the alliance deviation is The larger the value, the more The greater the contribution to adjusting the deviation, the higher the share of the profit.

[0038] ③ When distributing benefits, in addition to the marginal contribution of members emphasized by the Shapley value method, the relative contribution of each entity to the overall growth of the alliance's benefits should also be fully considered. This relative contribution reflects the "power" of each entity in the alliance and has an important impact on the final distribution results. Therefore, in addition to evaluating the absolute value of the marginal contribution, the relative value of the marginal contribution should also be taken into consideration to stimulate the participation enthusiasm of core members in the alliance.

[0039] The profit growth contribution of each entity in the alliance is defined as the ratio of the sum of the profit growth of the alliance before and after the entity participates in various alliance combinations to the overall profit growth of the alliance, expressed as:

[0040] ; In the formula, Main body of income; The first Operational scenarios of income; The first Operational scenarios Remove the subject The subsequent benefits; The first Operational scenarios overall revenue increase.

[0041] The profit growth contribution can reflect the relative contribution of each entity to the increase in the overall revenue of the alliance. The larger the value, the greater its contribution to the overall increase in alliance revenue.

[0042] S204: For each subject in the alliance, after constructing the Shapley value allocation correction factor corresponding to each subject based on the historical reputation, deviation adjustment contribution and profit growth contribution of the subject, the standard Shapley value method is improved to obtain the improved Shapley value method corresponding to each subject; based on the improved Shapley value method corresponding to each subject and the total alliance revenue under the maximum alliance scenario, a modified revenue allocation model corresponding to each subject in the alliance is constructed, specifically including: Based on the historical reputation, deviation adjustment contribution and profit growth contribution of each entity in the alliance, the entity The Shapley value of is assigned a correction factor, expressed as: S204-1: Historical credibility sequence of each entity in the distributed new energy station and shared energy storage alliance , Deviation Adjustment Contribution Sequence Profit growth contribution series , then the Shapley value distribution correction factor of each subject is as follows: ; In the formula, , is the number of entities in the alliance. ; , and are the weight coefficients of historical credibility, deviation adjustment contribution and profit growth contribution, , can be set according to the importance of the three factors. For example, if the prediction accuracy of new energy is low and the load response level is limited, it can be appropriately increased. By increasing the influence of historical credibility, all entities will be encouraged to complete the regulation tasks with quality and quantity, so as to improve the overall performance of distributed new energy stations and shared energy storage alliances, and so on.

[0043] S204-2: The benefits obtained by using the classic Shapley value method are: ;

[0044] S204-3: Assign correction factors based on the corresponding Shapley value of each subject The classic Shapley value method is used to calculate the benefits of each subject and obtain the modified benefit distribution model corresponding to each subject, which is expressed as: ; In the formula, is the total revenue of the alliance under the largest scenario; Main body The profit distribution results under the classic Shapley value method; Main body The income distribution results under the improved Shapley value method; weight Indicates the alliance Operational scenarios The probability of occurrence, Indicates the alliance Operational scenarios The total number of subjects in , Indicates the number of entities in the largest scenario of the alliance; , Indicates that the alliance's operating scenario contains a subject The total number of running scenarios.

[0045] S205: Based on the preset alliance operation constraints, taking the maximization of the actual benefits of the shared energy storage station as the optimization goal, obtaining the optimal control strategy of the shared energy storage station, and coordinating and controlling the shared energy storage stations in the alliance; Figure 3 As shown, it is a schematic diagram for obtaining the optimal control strategy of the shared energy storage station provided by the present invention.

[0046] The above-mentioned shared energy storage and new energy coordination and control method based on the profit distribution strategy provided by the present invention clarifies the responsibilities and contributions of each alliance entity through the analysis of the alliance deviation power assessment, the historical credibility of each alliance entity, the deviation adjustment contribution and the profit growth contribution, and can distinguish the impact of the behavioral differences of each entity on the total income of the alliance; based on the improved Shapley decomposition method, the modified profit distribution model of different entities in the alliance is studied, and the supporting role of each entity to the alliance is reasonably evaluated; and a coordinated control method with the maximum profit of shared energy storage stations is established, which improves the profit of shared energy storage stations and accelerates the recovery of energy storage costs; fully exerts the regulation potential of shared energy storage stations, promotes the consumption of distributed new energy; ensures the safe and reliable operation of the power grid, and maintains the stable and sustainable development of the power system.

[0047] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present application may adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0048] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0049] These computer program instructions may also be stored in a computer readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0050] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0051] Obviously, the above embodiments are merely examples for the purpose of clear explanation and are not intended to limit the implementation methods. For those skilled in the art, other different forms of changes or modifications can be made based on the above description. It is not necessary and impossible to list all the implementation methods here. The obvious changes or modifications derived therefrom are still within the scope of protection of the present invention.

Claims

1. A method for coordinated regulation of shared energy storage and new energy based on a profit distribution strategy, characterized in that: include: Based on the various entities involved in the coordinated regulation of shared energy storage and new energy, an overall alliance model including a distributed wind power model, a distributed photovoltaic model and a shared energy storage model is constructed; the entities include distributed photovoltaic stations, distributed wind power stations and shared energy storage stations; Based on the differences in the entities involved in the coordinated regulation of shared energy storage and new energy in the overall alliance model, multiple alliance operation scenarios are constructed; among them, the alliance operation scenario in which all entities participate in the coordinated regulation of shared energy storage and new energy is the largest alliance scenario; Based on the electricity sales revenue, operating costs and deviation assessment costs of shared energy storage stations in the alliance's largest scenario, calculate the total alliance revenue in the alliance's largest scenario; For each operation scenario of the alliance, the historical credibility of each entity is calculated based on the historical response capabilities of each entity in the alliance; based on the overall deviation assessment of the alliance, the standard Shapley value method is used to calculate the deviation adjustment contribution of each entity to the alliance; based on the total income of the alliance, the contribution of each entity to the profit growth of the alliance is calculated; For each entity in the alliance, a Shapley value allocation correction factor corresponding to each entity is constructed based on the historical reputation, deviation adjustment contribution and profit growth contribution of the entity; Based on the Shapley value corresponding to each subject, the correction factor is assigned to improve the standard Shapley value method to obtain the improved Shapley value method corresponding to each subject; Based on the improved Shapley value method corresponding to each subject and the total alliance revenue under the maximum alliance scenario, a modified revenue distribution model corresponding to each subject in the alliance is constructed; Calculate the actual revenue of the shared energy storage station based on the operating cost of the shared energy storage station and the revenue distribution result calculated by the modified revenue distribution model corresponding to the shared energy storage station; Based on the preset alliance operation constraints, with the maximization of the actual benefits of shared energy storage stations as the optimization goal, the optimal regulation strategy of shared energy storage stations is obtained, and the shared energy storage stations in the alliance are coordinated and regulated.

2. The method for coordinated control of shared energy storage and new energy based on profit distribution strategy according to claim 1 is characterized in that: The above-mentioned alliance overall model including distributed wind power model, distributed photovoltaic model and shared energy storage model is constructed based on various entities participating in the coordinated regulation of shared energy storage and new energy, including: The distributed wind power model is expressed as: ； in, Indicates that distributed wind farms are located at The day-ahead predicted output power at time; express The actual wind speed at the hub height of the wind turbine in the distributed wind farm at any given moment, Indicates the preset cut-in wind speed. Indicates the preset cut-out wind speed. Indicates the preset rated wind speed; Indicates the rated power of the distributed wind farm; Distributed photovoltaic model, expressed as: ； in, Indicates that distributed photovoltaic field is stationed at The day-ahead predicted output power at time; It represents the comprehensive photoelectric conversion efficiency; Represents the photovoltaic array area of ​​the distributed photovoltaic station; express The light intensity per unit area at the moment; The shared energy storage model is expressed as: ， ； in, For shared energy storage sites exist The actual power at the moment, For shared energy storage sites exist The actual power at the moment; Shared energy storage station exist The charging capacity at the time is expressed as , Indicates the preset charging efficiency, Shared energy storage station exist Charging power at the moment, Indicates the preset sampling time interval; Shared energy storage station exist The discharge capacity at the moment is expressed as , Shared energy storage station exist The discharge power at the moment, Indicates the preset discharge efficiency; Shared energy storage station exist The state of charge at the moment, Shared energy storage station The maximum capacity.

3. The method for coordinated control of shared energy storage and new energy based on profit distribution strategy according to claim 1 is characterized in that: Based on the differences in the entities participating in the coordinated regulation of shared energy storage and new energy in the overall alliance model, a variety of alliance operation scenarios are constructed, including distributed wind farm standalone operation scenarios, distributed photovoltaic station standalone operation scenarios, distributed wind farm and shared energy storage station coordinated operation scenarios, distributed photovoltaic station and shared energy storage station coordinated operation scenarios, and the largest alliance scenario in which all entities participate in the coordinated regulation of shared energy storage and new energy.

4. The method for coordinating and regulating shared energy storage and new energy based on a profit distribution strategy according to claim 1 is characterized in that: Based on the electricity sales revenue under the alliance's maximum scenario, the operating costs of the shared energy storage station and the deviation assessment costs, the total alliance revenue under the alliance's maximum scenario is calculated and expressed as: ； in, , Indicates the total number of sampling moments in a scheduling cycle; Indicates the day The revenue of electricity sales of the alliance at the moment is expressed as , express The alliance and the power grid clear interactive electricity prices in real time. express The actual output of wind turbines at any given moment. express Actual photovoltaic output at all times; Shared energy storage station exist Charging power at the moment, Shared energy storage station exist Discharge power at the moment; Shared energy storage station exist The running cost at the moment is expressed as , Shared energy storage station The unit electricity operating cost; It represents the deviation assessment cost, and the expression is ; express The deviation assessment electricity price at the time is expressed as , Indicates the basic deviation assessment electricity price; and They represent the positive deviation assessment coefficient and the negative deviation assessment coefficient respectively; express The deviation between the actual power of the alliance at the moment and the day-ahead clearing curve is expressed as , Indicates that distributed wind farms are located at The day-ahead predicted output power at time, Indicates that distributed photovoltaic field is stationed at The day-ahead predicted output power at time.

5. The method for coordinated control of shared energy storage and new energy based on profit distribution strategy according to claim 4 is characterized in that: Based on the historical response capabilities of each entity in the alliance, the historical credibility of each entity is calculated; based on the overall deviation assessment of the alliance, the standard Shapley value method is used to calculate the deviation adjustment contribution of each entity to the alliance; Based on the total revenue of the alliance, calculate the contribution of each entity to the profit growth of the alliance, including: Based on the historical response capabilities of each entity in the alliance, the historical credibility of each entity is calculated, which is expressed as: ; in, Represents the subject in the alliance The number of valid responses within the historical preset time period; Representing the subject The expected total number of responses within a historical preset time period; Based on the overall deviation assessment of the alliance, the standard Shapley value method is used to calculate the deviation adjustment contribution of each entity to the alliance, which is expressed as: ; in, Representing the subject The bias-adjusted contribution of Indicates the alliance Operational scenarios Adjusted deviation contribution value of The first Operational scenarios Remove the subject The subsequent adjustment deviation contribution value; weight Indicates the alliance Operational scenarios The probability of occurrence, Indicates the alliance Operational scenarios The total number of subjects in , Indicates the number of entities in the largest scenario of the alliance; , Indicates that the alliance's operating scenario contains a subject The total number of running scenarios; Based on the total revenue of the alliance, the contribution of each entity to the profit growth of the alliance is calculated, which is expressed as: ； in, Main body of income; The first Operational scenarios of income; The first Operational scenarios Remove the subject The subsequent benefits; The first Operational scenarios overall revenue increase.

6. The method for coordinated control of shared energy storage and new energy based on profit distribution strategy according to claim 5 is characterized in that: For each entity in the alliance, based on the historical reputation, deviation adjustment contribution and profit growth contribution of the entity, a Shapley value allocation correction factor corresponding to each entity is constructed, including: Based on the historical reputation, deviation adjustment contribution and profit growth contribution of each entity in the alliance, the entity The Shapley value of is assigned a correction factor, expressed as: ； Represents the historical reputation sequence , Deviation Adjustment Contribution Sequence Profit growth contribution series Middle The historical reputation, deviation adjustment contribution and profit growth contribution of each entity, ; , and are the weight coefficients of historical credibility, deviation adjustment contribution and profit growth contribution, .

7. The method for coordinated control of shared energy storage and new energy based on profit distribution strategy according to claim 6 is characterized in that: The modified benefit distribution model corresponding to each entity in the alliance is constructed based on the improved Shapley value method corresponding to each entity and the total alliance benefit under the maximum alliance scenario, including: The benefits of each entity are calculated based on the classic Shapley value method, expressed as: ； Assign correction factors based on the corresponding Shapley value for each subject The classic Shapley value method is used to calculate the benefits of each subject and obtain the modified benefit distribution model corresponding to each subject, which is expressed as: ； in, is the total revenue of the alliance under the largest scenario; Main body The profit distribution results under the classic Shapley value method; Main body The income distribution results under the improved Shapley value method; weight Indicates the alliance Operational scenarios The probability of occurrence, Indicates the alliance Operational scenarios The total number of subjects in , Indicates the number of entities in the largest scenario of the alliance; , Indicates that the alliance's operating scenario contains a subject The total number of running scenarios.

8. The method for coordinating and controlling shared energy storage and new energy based on the profit distribution strategy according to claim 7 is characterized in that: The actual income of the shared energy storage station is calculated based on the operating cost of the shared energy storage station and the income distribution result calculated by the modified income distribution model corresponding to the shared energy storage station, which is expressed as: ； in, It represents the net income of the shared energy storage station in a dispatch cycle; , Indicates the total number of sampling moments in a scheduling cycle; Shared energy storage station The corresponding modified profit distribution model calculates the profit distribution result, and the expression is: , Indicates that the subject is a shared energy storage station The profit distribution result under the classic Shapley value method is: Indicates that the subject is a shared energy storage station The corresponding Shapley value distribution correction factor is, is the total revenue of the alliance under the largest scenario; Shared energy storage station exist The running cost at the moment is expressed as , Shared energy storage station The unit electricity operating cost is Shared energy storage station exist Charging power at the moment, Shared energy storage station exist The discharge power at the moment.

9. The method for coordinating and regulating shared energy storage and new energy based on a profit distribution strategy according to claim 1 is characterized in that: The preset alliance operation constraints include alliance electric power balance constraints, shared energy storage charging and discharging constraints, shared energy storage charge state constraints, wind power output constraints and photovoltaic output constraints.

10. The method for coordinated control of shared energy storage and new energy based on profit distribution strategy according to claim 1, characterized in that: The particle swarm algorithm is used to update the control strategy of the shared energy storage station until the optimal control strategy of the shared energy storage station that maximizes the actual benefits of the shared energy storage station is obtained.

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