New energy station bundling sales transaction method, device and equipment and storage medium

Abstract

The invention relates to the field of new energy power market transaction, in particular to a new energy station bundling sales transaction method, device and equipment and a storage medium, and designs a medium and long term bundling sales transaction framework of a new energy station and a conventional unit, introduces a centralized transaction platform, and establishes a power transaction alliance of the new energy station and the conventional unit; a new energy station transaction model based on a cooperative game is constructed, and the overall benefit of a power transaction alliance is maximized; according to the contract signing electric quantity and the actual power generation output condition of the new energy station, adjusting the output of the conventional unit to realize electric quantity compensation, and ensuring accurate performance of the contract electric quantity; and calculating and optimizing power transaction income distribution of the power transaction alliance, ensuring fairness and rationality of income distribution, and realizing maximization of the overall income of the power transaction alliance. Through the multi-source complementary bundling sales strategy, the contract performance capability and the power consumption level of the new energy station are remarkably improved.

Description

Technical Field

[0001] The present invention relates to the field of new energy power market transactions, and in particular to a new energy station bundled sales transaction method, device, equipment and storage medium. Background Art

[0002] With the transformation and development of the global energy structure, new energy has gradually become an important part of the power system. In particular, driven by the "dual carbon" goal, the installed capacity and power generation ratio of new energy such as wind power and photovoltaics have increased significantly. These new energy sources have shown strong competitiveness in the power market with their low marginal cost advantages. However, due to the randomness and volatility of new energy power generation, there is great uncertainty in its contract performance in the medium and long-term power market, which brings challenges to the stable operation of the power system.

[0003] Existing research focuses on how to improve the contract performance rate of new energy stations by designing more reasonable market trading mechanisms and settlement methods. For example, some studies have proposed the introduction of a rolling correction mechanism in the medium- and long-term market to cope with the uncertainty of new energy output; other studies focus on how to reduce the deviation of new energy stations by optimizing power forecasts and contract decomposition models. However, most of these studies have failed to fully consider the coordination and complementarity between new energy stations and conventional units (such as thermal power units, hydropower units, etc.), resulting in the situation that power abandonment or insufficient contract performance is still difficult to avoid when the volatility of new energy is too large. Summary of the invention

[0004] In order to improve the power consumption capacity and contract performance capacity of new energy stations, the present invention provides a new energy station bundled sales transaction method, device, equipment and storage medium. The transaction method forms a multi-source complementary cooperation mechanism by combining other conventional power sources, which can improve the consumption rate of new energy stations, improve their contract performance capacity in the power market, and maximize the overall benefits of the participating entities to stabilize the output characteristics of new energy stations.

[0005] The present invention is implemented through the following technical solution: A new energy station bundled sales transaction method, comprising the following steps:

[0006] S1. Design a medium- and long-term bundled sales transaction framework for new energy stations and conventional units, introduce a centralized trading platform, and establish a power trading alliance between new energy stations and conventional units;

[0007] S2. Construct a new energy station trading model based on cooperative game and propose a mathematical model that can maximize the overall benefits of the power trading alliance;

[0008] S3. According to the contracted electricity volume and actual power generation output of the new energy station, the output of the conventional units is adjusted to achieve electricity compensation. By adjusting the power generation output of the conventional units in real time, the power shortage of the new energy station is dynamically compensated or its excess power generation is absorbed to ensure the accurate fulfillment of the contracted electricity volume;

[0009] S4. Calculate and optimize the distribution of power trading revenue of the power trading alliance to ensure the fairness and rationality of revenue distribution and maximize the overall revenue of the power trading alliance.

[0010] As a further improvement of the technical solution of the method of the present invention, the specific steps of step S1 are as follows:

[0011] (1-1) On the centralized trading platform, efficient information exchange between new energy stations and conventional units is realized; through the power trading alliance, new energy stations and conventional units are coordinated;

[0012] (1-2) On the centralized trading platform, intelligent scheduling algorithms are used to monitor and adjust the power output of new energy stations in real time to cope with fluctuations in power generation;

[0013] (1-3) Through the contract power management tool provided by the centralized trading platform, the contract performance of the new energy stations is tracked and adjusted to ensure that the contract power in each time period can be accurately executed.

[0014] As a further improvement of the technical solution of the method of the present invention, the specific steps of step S2 are as follows:

[0015] (2-1) Establish a cooperative game model between new energy stations and conventional units, and analyze the cost-benefit relationship of each participant;

[0016] (2-2) Formulate internal power distribution rules for the power trading alliance to ensure that all participants share the trading benefits reasonably according to their contributions;

[0017] (2-3) By simulating different market scenarios, adjusting the game strategy, and optimizing the overall benefits of the trading model.

[0018] As a further improvement of the technical solution of the method of the present invention, the specific steps of step S3 are as follows:

[0019] (3-1) When the actual power generation of the new energy station is lower than the contracted power generation, the conventional units are instructed to increase their output to make up for the power gap;

[0020] (3-2) When the actual power generation of a new energy station exceeds the contracted power generation, the conventional units will be instructed to reduce their output to absorb the new energy power.

[0021] As a further improvement of the technical solution of the method of the present invention, the specific steps of step S4 are as follows:

[0022] (4-1) Based on the cooperative game model, calculate the marginal contribution of each participant to the overall benefits of the power trading alliance;

[0023] (4-2) Use the Shapley value method to quantify the contribution of each entity and determine the share of benefits it should receive;

[0024] (4-3) According to the Shapley value distribution principle, combined with actual market returns, the total revenue in the alliance is fairly distributed to ensure that the distribution of each entity matches its contribution.

[0025] As a further improvement of the technical solution of the method of the present invention, in step (1-1), the efficient information interaction includes comprehensive collection and sharing of power generation forecast data, real-time output data and contractual power performance of new energy stations and conventional units.

[0026] As a further improvement of the technical solution of the method of the present invention, in step (2-3), different market scenarios include future market price fluctuations, market performance during peak and trough periods of electricity demand under different climatic conditions, and uncertainty in the output of new energy.

[0027] As a further improvement of the technical solution of the method of the present invention, in step (4-1), the marginal contribution of each participating entity is calculated by the following formula:

[0028]

[0029] Where N is the set of all entities participating in the cooperation, N = {1, 2, ..., n}; φ i (I f ) is the core value of subject i, that is, its marginal contribution in cooperation, which represents the contribution of subject i to the total benefit in the cooperative game; S represents the set of all participating subjects excluding subject i; v(S) is the value function of subset S; v(S∪{i}) is the value function of subset S plus participating subject i.

[0030] The present invention also provides a new energy station bundled sales transaction device, the transaction device comprising:

[0031] Centralized trading platform: used to establish a power trading alliance between new energy stations and conventional units, and to achieve efficient information exchange between new energy stations and conventional units;

[0032] Trading model acquisition module: By establishing a cooperative game model between new energy stations and conventional units, setting the power distribution principle, and simulating different market scenarios, adjusting the game strategy, the overall benefits of the trading model are optimized;

[0033] Electricity compensation module: According to the contracted electricity and actual power generation output of the new energy station, the output of the conventional units is adjusted to achieve electricity compensation. By adjusting the power generation output of the conventional units in real time, the electricity shortage of the new energy station is dynamically compensated or its excess power generation is absorbed to ensure the accurate fulfillment of the contracted electricity;

[0034] Profit distribution module: Calculate and optimize the power trading profit distribution of the power trading alliance, ensure the fairness and rationality of profit distribution, and maximize the overall profit of the power trading alliance.

[0035] The present invention further provides an electronic device, the electronic device comprising:

[0036] processor;

[0037] a memory for storing instructions executable by the processor;

[0038] Wherein, the processor is configured to execute the new energy station bundled sales transaction method as described above.

[0039] The present invention further provides a computer-readable storage medium, which, when the instructions in the storage medium are executed by a processor of an electronic device, enables the electronic device to execute the new energy station bundled sales transaction method as described above.

[0040] The new energy station bundled sales transaction method, device, equipment and storage medium provided by the present invention have the following advantages compared with the prior art:

[0041] (1) Improve the contract performance and power consumption capacity of new energy stations: This invention significantly improves the contract performance and power consumption level of new energy stations by introducing a multi-source complementary bundled sales mechanism and combining it with the flexible output adjustment of conventional units. Real-time scheduling and intelligent management effectively reduce the power deviation problem caused by the volatility of new energy, ensure the accurate performance of contract power, and enhance the competitiveness and credibility of new energy stations in the power market;

[0042] (2) Achieve fair and reasonable profit distribution and improve overall economic benefits: The present invention uses the Shapley value method to accurately distribute the profits of the cooperative alliance, ensuring that the profits of each participant match their actual contributions, thereby achieving fairness and rationality in profit distribution. This distribution method effectively avoids cooperation conflicts caused by unfair distribution. At the same time, by optimizing the power trading strategy and cooperative game model, it maximizes the overall profits of the alliance and improves the economic benefits of the power market;

[0043] (3) Enhance the stability and sustainable development of the power market: This invention reduces the impact of market fluctuations on the power system and ensures the smooth operation of the market by constructing a cooperative game model and optimizing the profit distribution strategy. Multi-source complementarity and flexible power dispatching mechanisms improve the stability of the power system, promote the widespread application of new energy, and help the development of clean energy, which is in line with the strategic goals of global energy transformation and sustainable development. At the same time, a reasonable profit distribution mechanism and a design that reduces operational risks enable participating entities to operate more robustly and improve market competitiveness. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention.

[0045] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0046] Figure 1 This is a mid- to long-term transaction framework diagram for bundled sales of the present invention.

[0047] Figure 2 It is a flow chart of the clearing mechanism of the present invention.

[0048] Figure 3 This is a flow chart of the Shapley value benefit allocation of the present invention. DETAILED DESCRIPTION

[0049] In order to more clearly understand the above-mentioned objectives, features and advantages of the present invention, the scheme of the present invention will be further described below. It should be noted that the embodiments of the present invention and the features in the embodiments can be combined with each other without conflict.

[0050] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein; it is obvious that the embodiments in the specification are only part of the embodiments of the present invention, rather than all of the embodiments.

[0051] The specific embodiments of the present invention are described in detail below.

[0052] A new energy station bundled sales transaction method comprises the following steps:

[0053] S1. Design a medium- and long-term bundled sales transaction framework for new energy stations and conventional units, introduce a centralized trading platform, and establish a power trading alliance between new energy stations and conventional units;

[0054] S2. Construct a new energy station trading model based on cooperative game and propose a mathematical model that can maximize the overall benefits of the power trading alliance;

[0055] S3. According to the contracted electricity volume and actual power generation output of the new energy station, the output of the conventional units is adjusted to achieve electricity compensation. By adjusting the power generation output of the conventional units in real time, the power shortage of the new energy station is dynamically compensated or its excess power generation is absorbed to ensure the accurate fulfillment of the contracted electricity volume;

[0056] S4. Calculate and optimize the distribution of power trading revenue of the power trading alliance to ensure the fairness and rationality of revenue distribution and maximize the overall revenue of the power trading alliance.

[0057] The medium- and long-term transaction framework for bundling sales of new energy stations and conventional units in this embodiment is as follows: Figure 1 As shown. Under this framework, multiple new energy stations and conventional units in the same area form a power trading alliance, and information exchange and power trading between new energy stations and conventional units are realized through interconnection lines. By combining new energy stations and conventional units into a power trading alliance and realizing power transmission through interconnection lines, the framework can stabilize the power output of new energy stations and reduce the risks caused by fluctuations in new energy power generation.

[0058] In this framework diagram, the daily output refers to the real-time output data of the station (i.e., actual power generation), the contract status refers to the performance of the station's contracted power; technical and economic parameters refer to the actual contracted power of the new energy station and each conventional unit, the actual contracted price of the power market transaction, and the setting of the profit distribution ratio of conventional units and new energy units, and the operation constraint refers to the maximum power generation data of the station. All of this information is information that needs to be interacted between the new energy station and the conventional units.

[0059] In order to ensure the accurate fulfillment of the contracted electricity volume, during the electricity market transaction process, new energy stations are bundled and sold with conventional units. Conventional units compensate for the volatility of the output of new energy stations by adjusting their own output, thereby meeting the contracted electricity volume.

[0060] In an exemplary embodiment, the bundling ratio in the transaction framework is set to 1, where n represents the output ratio of the conventional unit. Assume that the contracted power of the new energy station at time t is P cw (t), the contracted power of the conventional unit at time t is P cu (t), the total transmission power of the tie line is:

[0061] P e (t) = P cw (t)+P cu (t)

[0062] The transmission power of the tie line is subject to upper and lower limits, expressed as:

[0063] P l,min ≤P e (t)≤P l,max

[0064] Where: P l,min is the lower limit of the transmission power of the tie line; P l,max It is the upper limit of the transmission power of the tie line.

[0065] The specific steps of step S1 are as follows:

[0066] (1-1) On a centralized trading platform, efficient information exchange is achieved between new energy stations and conventional units; through a power trading alliance, new energy stations and conventional units are coordinated to ensure that each participating entity can obtain and use this information in a timely manner to make reasonable decisions; in step (1-1), the efficient information exchange includes comprehensive collection and sharing of power generation forecast data, real-time output data, and contract power performance of new energy stations and conventional units.

[0067] (1-2) On the centralized trading platform, an intelligent dispatching algorithm is used to monitor and adjust the power output of new energy stations in real time to cope with fluctuations in power generation. This embodiment dynamically adjusts the power distribution in real time so that the output between new energy stations and conventional units can be optimally matched according to the demand and supply conditions of the real-time power market, thereby maximizing the contract performance capability and power consumption level of new energy stations.

[0068] (1-3) Through the contract power management tool provided by the centralized trading platform, the contract performance of the new energy stations is tracked and adjusted to ensure that the contract power in each time period can be accurately executed.

[0069] In an exemplary embodiment, the specific steps of step S2 are as follows:

[0070] (2-1) Establish a cooperative game model between new energy stations and conventional units, and analyze the cost-benefit relationship of each participant;

[0071] (2-2) Formulate internal power distribution rules for the power trading alliance to ensure that all participants share the trading benefits reasonably according to their contributions;

[0072] (2-3) By simulating different market scenarios, adjusting the game strategy, and optimizing the overall benefits of the trading model. Different market scenarios include future market price fluctuations, market performance during peak and trough periods of electricity demand under different climate conditions, and the uncertainty of new energy output.

[0073] In this embodiment, the participating entities are the new energy stations N w and conventional unit N u . Let the participant set be N = [N w ,N u ].

[0074] The bundled grid-connected power of the participating entities at time t specifically includes: the decision variables of the new energy station, that is, the actual power generation power P of the new energy station at time t w (t); the decision variable of the conventional unit, that is, the actual power generation power P of the conventional unit at time t u (t). The total amount of electricity bundled and connected to the grid by the participating entities is expressed as Ω = [P w (t),P u (t)].

[0075] Determination of payment benefits: According to the total amount of electricity bundled by the participants, the payment function of the new energy stations and conventional units is designed during the electricity market contract transaction period to maximize the benefits of the cooperation alliance between the new energy stations and conventional units. The benefits of the participants are expressed as I = [I w ,I u ]. w The income of new energy stations; u The income of conventional units.

[0076] This embodiment establishes a cooperative game model between new energy stations and conventional units, with the aim of increasing overall revenue by adjusting the output of conventional units according to the difference between the actual power generation power of the new energy stations and the contracted power.

[0077] The specific output adjustment policy formulated in step S3 is:

[0078] (3-1) When the actual power generation of the new energy station is lower than the contracted power generation, the conventional units are instructed to increase their output to make up for the power gap;

[0079] (3-2) When the actual power generation of a new energy station exceeds the contracted power generation, the conventional units will be instructed to reduce their output to absorb the new energy power.

[0080] Specifically, in step S3, the contracted power and actual power generation output of the new energy station can be described by the following formula:

[0081] ΔP w (t) = P cw (t)-P rw (t)

[0082] Where: ΔP w(t) is the power difference of the new energy station at time t, indicating the difference between the contracted power and the actual power generation; P cw (t) is the contracted electricity volume of the new energy station at time t; P rw (t) is the actual power generation of the new energy station at time t.

[0083] In the above judgment formula, if ΔP w (t)>0, indicating that there is a power shortage in the new energy station, which needs to be compensated by conventional units; if ΔP w (t)<0 means that the renewable energy station generates excess electricity and conventional units need to reduce their output to absorb the excess electricity.

[0084] The output adjustment strategy of conventional units can be described by the following formula:

[0085] ① When there is a power shortage at the new energy station and the upward adjustment capacity of the conventional units is sufficient:

[0086] P w (t) = P rw (t)

[0087] P u (t) = P cu (t)+ΔP w (t)

[0088] Where: P w (t) is the adjusted power generation of the new energy station at time t; P rw (t) is the actual power generation of the new energy station at time t; P u (t) is the adjusted power generation of the conventional unit at time t; P cu (t) is the contracted power of the conventional unit at time t; ΔP w (t) is the power difference of the new energy station at time t.

[0089] ② When there is a power shortage at the new energy station, but the upward adjustment capacity of the conventional units is insufficient:

[0090]

[0091] P u (t) = P u,max (t)

[0092] Where: P u (t) is the adjusted power generation of the conventional unit at time t; P u,max (t) is the maximum output of the conventional unit at time t; is the upward adjustable output of the conventional unit at time t, defined as:

[0093]

[0094] ③ When there is excess power generation at the new energy station and the downward adjustment capacity of the conventional units is sufficient:

[0095] P w (t) = P rw (t)

[0096] P u (t) = P cu (t)-ΔP w (t)

[0097] Where: P w (t) is the adjusted power generation of the new energy station at time t; P rw (t) is the actual power generation of the new energy station at time t; P u (t) is the adjusted power generation of the conventional unit at time t; P cu (t) is the contracted power of the conventional unit at time t; ΔP w (t) is the power difference of the new energy station at time t.

[0098] ④ When the new energy station generates excess electricity, but the conventional units have insufficient downward regulation capabilities:

[0099]

[0100] P u (t) = P u,min (t)

[0101] Where: P w (t) is the adjusted power generation of the new energy station at time t; P cw (t) is the contracted electricity volume of the new energy station at time t; The downward adjustable output of a conventional unit at time t is defined as:

[0102]

[0103] Where: P cu (t) is the contracted power of the conventional unit at time t; P u,min (t) is the minimum output of the conventional unit at time t.

[0104] The above-mentioned specific output adjustment strategy ensures that conventional units can be adjusted according to the actual power generation capacity of new energy sites, reducing the power abandonment phenomenon of new energy sites and thus improving overall benefits.

[0105] In an exemplary embodiment, the specific steps of step S4 are as follows:

[0106] (4-1) Based on the cooperative game model, calculate the marginal contribution of each participant to the overall benefits of the power trading alliance;

[0107] (4-2) Use the Shapley value method to quantify the contribution of each entity and determine the share of benefits it should receive;

[0108] (4-3) Based on the Shapley value distribution principle and combined with actual market returns, the total revenue in the alliance is fairly distributed to ensure that the distribution of each entity matches its contribution, so as to maximize the cooperation willingness of all parties and enhance the overall economic benefits and market competitiveness of the alliance.

[0109] like Figure 3 For this example, the Shapley value method (nucleolus method) is used as the profit distribution mechanism of the cooperative game model. The nucleolus method distributes profits by calculating the marginal contribution of each participant under different cooperation situations, ensuring that new energy stations and conventional units reasonably distribute profits according to their contribution, thereby enhancing the cooperation willingness of all parties. Specifically including:

[0110] (I) Calculation of total revenue: Assume that the total revenue of the cooperative game model is I f , which includes the revenue of new energy stations I w 、Income of conventional units I u And the deviation assessment cost C caused by bundled sales p , the specific formula is:

[0111] maxI f =I w +I u -C p

[0112] Where: I f is the total revenue of the cooperative game model, I w The income of new energy stations; u is the income of conventional units, including the power generation income and shutdown compensation costs of conventional units; C p The deviation assessment costs incurred for bundled sales reflect the economic losses caused by power generation deviation.

[0113] (II) Calculation of revenues of new energy stations and conventional units:

[0114] (Ⅱ-Ⅰ) Revenue of new energy stations I w The calculation formula is:

[0115]

[0116] Where: R w (t) is the on-grid electricity price of the new energy station at time t, P w(t) is the actual power generation of the new energy station at time t, and Δt is the length of the time period.

[0117] (Ⅱ-Ⅱ) Profit of conventional units I u The calculation formula is:

[0118]

[0119] Where: R u (t) is the on-grid electricity price of conventional units at time t; P u (t) is the adjusted power generation of the conventional unit at time t, I uc R is the shutdown compensation cost of conventional units; uc (t) is the price of compensation for the shutdown of conventional units at time t; C u,on , C u,off are the startup cost and shutdown cost of conventional units respectively; on , off are the startup cost coefficient and shutdown cost coefficient of the conventional unit respectively; λ(t) is a Boolean variable for the startup and shutdown status of the conventional unit at time t, and λ(t-1) is a Boolean variable for the startup and shutdown status of the conventional unit at time t-1, where λ(t)=1 indicates startup, and λ(t)=0 indicates shutdown.

[0120] (Ⅱ-Ⅲ) Deviation assessment cost C caused by bundled sales p The calculation formula is:

[0121]

[0122] Among them: ξ is the deviation assessment coefficient of the power market cooperation alliance, which indicates the penalty intensity of deviation electricity;

[0123] p P e (t) is the total transmission power of the interconnection line at time t.

[0124] (III) Nucleolar distribution method:

[0125] The core allocation method is used to fairly distribute the benefits in cooperative games. Let N be the set of all entities participating in the cooperation, N = {1, 2, ..., n}. The core value calculation formula for each participating entity i is:

[0126]

[0127] Where: φ i (I f ) is the core value of subject i, that is, its marginal contribution in cooperation, which represents the contribution of subject i to the total benefit in the cooperative game; S represents the set of all participating subjects excluding subject i, and all possible v(S) is the value function of subset S, which represents the total benefit of the subset without subject i; v(S∪{i}) is the value function of subset S plus participating subject i.

[0128] v(S) is calculated as:

[0129] v(S∪{i}) is the value function of the subset S plus subject i, which represents the total benefit after adding subject i. The specific calculation is:

[0130]

[0131] Where: P w,i (t) and P u,i (t) represent the additional power generation of new energy stations and conventional units after adding entity i.

[0132] The significance of the core allocation method is to fairly distribute the benefits by considering the marginal contribution of each subject in different cooperation situations, ensuring that all participating subjects receive reasonable compensation according to their contributions to the cooperation. This method can motivate all parties to actively participate in the cooperation, thereby optimizing the overall benefits and efficiency of the electricity market.

[0133] In an exemplary embodiment, a new energy station bundled sales transaction device is provided, the transaction device comprising:

[0134] Centralized trading platform: used to establish a power trading alliance between new energy stations and conventional units, and to achieve efficient information exchange between new energy stations and conventional units;

[0135] Transaction model acquisition module: By establishing a cooperative game model between new energy stations and conventional units, setting the power distribution principle, and simulating different market scenarios, adjusting the game strategy, and optimizing the overall benefits of the transaction model; Electricity compensation module: According to the contracted electricity and actual power generation output of the new energy station, the output of the conventional unit is adjusted to achieve electricity compensation. By adjusting the power generation output of the conventional unit in real time, the power shortage of the new energy station is dynamically compensated or its excess power generation is absorbed to ensure the accurate fulfillment of the contracted electricity;

[0136] Profit distribution module: Calculate and optimize the power trading profit distribution of the power trading alliance, ensure the fairness and rationality of profit distribution, and maximize the overall profit of the power trading alliance.

[0137] The working process, working details and technical effects of the aforementioned device provided in this embodiment can be found in the aforementioned method and will not be described in detail here.

[0138] In an exemplary embodiment, an electronic device is provided, which may be a laptop computer, a desktop computer, a television, a mobile phone or other electronic device, without limitation. The electronic device includes:

[0139] processor;

[0140] a memory for storing instructions executable by the processor;

[0141] Wherein, the processor is configured to execute the new energy station bundled sales transaction method as described above.

[0142] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in the present application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0143] In the embodiments of the present application, the processor is used to execute the method steps provided in each method embodiment by calling the program or instruction stored in the memory, specifically, the program or instruction stored in the application. The processor may be an integrated circuit chip with signal processing capability.

[0144] A computer-readable storage medium, when the instructions in the storage medium are executed by a processor of an electronic device, enables the electronic device to execute the above-mentioned new energy station bundled sales transaction method. The storage medium here stores one or more programs. Among them, the storage medium may include a volatile memory, such as a random access memory; the memory may also include a non-volatile memory, such as a read-only memory, a flash memory, a hard disk or a solid-state drive; the memory may also include a combination of the above-mentioned types of memory.

[0145] When one or more programs in the storage medium can be executed by one or more processors to implement the above-mentioned new energy station bundled sales transaction method. The processor is used to execute the program stored in the memory to implement the steps of the above-mentioned new energy station bundled sales transaction method.

[0146] The present invention optimizes the distribution of revenue in the electricity market by applying the core allocation method. The core significance of this method is to improve market efficiency, ensure fair distribution of revenue among participants, and promote effective cooperation between new energy sites and conventional units. Through a reasonable revenue distribution mechanism, the present invention not only encourages new energy sites and conventional units to actively participate in electricity market transactions, reduces power abandonment, but also maximizes the economic benefits of all parties. This innovative method effectively improves the economic value and market competitiveness of renewable energy power generation, and has important practical significance for promoting the healthy development of the electricity market.

[0147] The above is only a specific implementation of the present invention, which enables those skilled in the art to understand or implement the present invention. Although detailed descriptions are given with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions recorded in the aforementioned embodiments, or replace some or all of the technical features therein by equivalents; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments, and they should all be covered by the protection scope of the claims.

Claims

1. A new energy station bundled sales transaction method, characterized in that: The following steps are involved: S1. Design a medium- and long-term bundled sales transaction framework for new energy stations and conventional units, introduce a centralized trading platform, and establish a power trading alliance between new energy stations and conventional units; S2. Construct a new energy station trading model based on cooperative game and propose a mathematical model that can maximize the overall benefits of the power trading alliance; S3. According to the contracted electricity volume and actual power generation output of the new energy station, the output of the conventional units is adjusted to achieve electricity compensation. By adjusting the power generation output of the conventional units in real time, the power shortage of the new energy station is dynamically compensated or its excess power generation is absorbed to ensure the accurate fulfillment of the contracted electricity volume; S4. Calculate and optimize the distribution of power trading revenue of the power trading alliance to ensure the fairness and rationality of revenue distribution and maximize the overall revenue of the power trading alliance.

2. A new energy station bundled sales transaction method according to claim 1, characterized in that: The specific steps of step S1 are as follows: (1-1) On the centralized trading platform, efficient information exchange between new energy stations and conventional units is realized; through the power trading alliance, new energy stations and conventional units are coordinated; (1-2) On the centralized trading platform, intelligent scheduling algorithms are used to monitor and adjust the power output of new energy stations in real time to cope with fluctuations in power generation; (1-3) Through the contract power management tool provided by the centralized trading platform, the contract performance of the new energy stations is tracked and adjusted to ensure that the contract power in each time period can be accurately executed.

3. A new energy station bundled sales transaction method according to claim 1, characterized in that: The specific steps of step S2 are as follows: (2-1) Establish a cooperative game model between new energy stations and conventional units, and analyze the cost-benefit relationship of each participant; (2-2) Formulate internal power distribution rules for the power trading alliance to ensure that all participants share the trading benefits reasonably according to their contributions; (2-3) By simulating different market scenarios, adjusting the game strategy, and optimizing the overall benefits of the trading model.

4. A new energy station bundled sales transaction method according to claim 1, characterized in that: The specific steps of step S3 are as follows: (3-1) When the actual power generation of the new energy station is lower than the contracted power generation, the conventional units are instructed to increase their output to make up for the power gap; (3-2) When the actual power generation of a new energy station exceeds the contracted power generation, the conventional units will be instructed to reduce their output to absorb the new energy power.

5. A new energy station bundled sales transaction method according to claim 1, characterized in that: The specific steps of step S4 are as follows: (4-1) Based on the cooperative game model, calculate the marginal contribution of each participant to the overall benefits of the power trading alliance; (4-2) Use the Shapley value method to quantify the contribution of each entity and determine the share of profit it should receive; (4-3) Based on the Shapley value distribution principle and combined with actual market returns, fairly distribute the total revenue in the alliance to ensure that the distribution of each entity matches its contribution.

6. A new energy station bundled sales transaction method according to claim 2, characterized in that: In step (1-1), the efficient information interaction includes comprehensive collection and sharing of power generation forecast data, real-time output data and contract power performance of new energy stations and conventional units.

7. A new energy station bundled sales transaction method according to claim 3, characterized in that: In step (2-3), different market scenarios include future market price fluctuations, market performance during peak and trough periods of electricity demand under different climate conditions, and the uncertainty of new energy output.

8. A new energy station bundled sales transaction method according to claim 5, characterized in that: In step (4-1), the marginal contribution of each participant is calculated by the following formula: Where N is the set of all entities participating in the cooperation, N = {1, 2, ..., n}; φ i (I f ) is the core value of subject i, that is, its marginal contribution in cooperation, which represents the contribution of subject i to the total benefit in the cooperative game; S represents the set of all participating subjects excluding subject i; v(S) is the value function of subset S; v(S∪{i}) is the value function of subset S plus participating subject i.

9. A new energy station bundled sales transaction device, characterized in that: The transaction device comprises: Centralized trading platform: used to establish a power trading alliance between new energy stations and conventional units, and to achieve efficient information exchange between new energy stations and conventional units; Transaction model acquisition module: By establishing a cooperative game model between new energy stations and conventional units, setting the power distribution principle, and simulating different market scenarios, adjusting the game strategy, and optimizing the overall benefits of the transaction model; Electricity compensation module: According to the contracted electricity and actual power generation output of the new energy station, the output of the conventional unit is adjusted to achieve electricity compensation. By adjusting the power generation output of the conventional unit in real time, the power shortage of the new energy station is dynamically compensated or its excess power generation is absorbed to ensure the accurate fulfillment of the contracted electricity; Profit distribution module: Calculate and optimize the power trading profit distribution of the power trading alliance, ensure the fairness and rationality of profit distribution, and maximize the overall profit of the power trading alliance.

10. An electronic device, characterized in that: The electronic device comprises: processor; a memory for storing instructions executable by the processor; Wherein, the processor is configured to execute the new energy station bundled sales transaction method as described in any one of claims 1-8.

11. A computer-readable storage medium, characterized in that: When the instructions in the storage medium are executed by a processor of an electronic device, the electronic device is enabled to execute the new energy station bundled sales transaction method as described in any one of claims 1-8.

Images