Quotation scheme determination method and device for electricity market and computer equipment

Abstract

The invention relates to a quotation scheme determination method and device for an electricity market and computer equipment. The method comprises the following steps: respectively acquiring market state information of an electricity purchasing party and an electricity selling party; and processing the market state information by using a pre-constructed comprehensive bidding model to obtain profit information and candidate quotation schemes, and determining target quotation schemes of the electricity seller and the electricity buyer according to the profit information and the candidate quotation schemes. By adopting the method, the demand of the market subject in pursuing benefit maximization can be met.

Description

Technical Field

[0001] The present application relates to the technical field of power market, and in particular to a method, device and computer equipment for determining a quotation scheme for a power market. Background Art

[0002] Since 2015, this round of market-oriented reform has entered the deep water zone. Various provinces and cities have gradually established a complete medium- and long-term trading system, and spot trading is also being gradually promoted. Medium- and long-term transactions mainly include bilaterally negotiated over-the-counter transactions, centralized bidding and listing and other on-site trading forms, and these trading forms have achieved an organic combination of years, months and multiple days in terms of time arrangement.

[0003] However, the current centralized bidding strategy is relatively simple, relying mainly on basic cost-plus and fixed profit margins to determine bids, which is difficult to meet the needs of market players in pursuing profit maximization. Summary of the invention

[0004] Based on this, it is necessary to provide a method, device and computer equipment for determining a quotation scheme for the electricity market that can meet the needs of market entities in pursuing maximum benefits in response to the above technical problems.

[0005] In a first aspect, the present application provides a method for determining a bidding scheme for an electricity market, comprising:

[0006] Obtain market status information of electricity buyers and sellers respectively;

[0007] The market status information is processed using a pre-built comprehensive bidding model to obtain profit information and candidate bidding schemes, and the target bidding schemes of the electricity seller and the electricity buyer are determined based on the profit information and the candidate bidding schemes.

[0008] In one embodiment, the comprehensive bidding model includes a profit model, a market environment model and a strategy model. The pre-built comprehensive bidding model is used to process the market status information to obtain profit information and candidate bidding schemes, and the target bidding schemes of the electricity seller and the electricity buyer are determined according to the profit information and the candidate bidding schemes, including:

[0009] Input the market status information into the profit model to obtain the profit information of the electricity buyer and the electricity seller output by the profit model;

[0010] Input the profit information into the market environment model to obtain multiple candidate quotation schemes within the power sales range output by the market environment model;

[0011] The profit information and multiple candidate bidding plans are input into the strategy model to obtain the target bidding plans for the electricity buyer and the electricity seller.

[0012] In one embodiment, the market status information is input into the profit model to obtain the profit information of the electricity buyer and the electricity seller output by the profit model, including:

[0013] The market status information of the power purchaser is input into the profit model to obtain the profit information of the power purchaser under different purchase price and purchase volume combinations; the corresponding profit model of the power purchaser is used to characterize the corresponding relationship between the profit information and the purchase price, retail price, deviation assessment and purchase volume;

[0014] The market status information of the electricity seller is input into the profit model to obtain the profit information of the electricity seller under different combinations of electricity sales volume and electricity sales price; the profit model corresponding to the electricity seller is used to characterize the corresponding relationship between the profit information and the electricity sales volume, electricity sales price and cost information.

[0015] In one embodiment, the profit information is input into the market environment model to obtain multiple candidate quotation schemes within the power sales range output by the market environment model, including:

[0016] The market environment model is used to divide the electricity sales volume and obtain multiple electricity intervals;

[0017] For each electricity interval, the interval price corresponding to the electricity interval is determined based on the profit information; wherein the multiple interval prices present a monotonically non-decreasing trend;

[0018] The electricity quantity interval and the interval quotation corresponding to the electricity quantity interval are determined as candidate quotation schemes.

[0019] In one embodiment, the profit information and multiple candidate quotation schemes are input into the strategy model to obtain the target quotation schemes of the electricity buyer and the electricity seller, including:

[0020] For each candidate quotation scheme, the strategy model is used to perform quantitative evaluation on the candidate quotation scheme to obtain the risk value of the candidate quotation scheme;

[0021] Based on the risk value and profit information, a target quotation scheme is determined from multiple candidate quotation schemes.

[0022] In one embodiment, the method further comprises:

[0023] The target bidding scheme is transformed to obtain a transformed target bidding scheme; the transformed target bidding scheme at least includes state information, action information and reward information;

[0024] Create a benchmark table based on state information, action information and reward information;

[0025] updating the benchmark table based on the market status information to obtain an updated benchmark table;

[0026] Based on the updated benchmark table, determine the optimized target quotation plan.

[0027] In a second aspect, the present application also provides a device for determining a quotation scheme for an electricity market, comprising:

[0028] An information acquisition module is used to obtain market status information of electricity buyers and electricity sellers respectively;

[0029] The quotation scheme determination module is used to process the market status information using the pre-built comprehensive bidding model to obtain profit information and candidate quotation schemes, and determine the target quotation schemes of the electricity seller and the electricity buyer based on the profit information and the candidate quotation schemes.

[0030] In a third aspect, the present application further provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the following steps are implemented:

[0031] Obtain market status information of electricity buyers and sellers respectively;

[0032] The market status information is processed using a pre-built comprehensive bidding model to obtain profit information and candidate bidding schemes, and the target bidding schemes of the electricity seller and the electricity buyer are determined based on the profit information and the candidate bidding schemes.

[0033] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the following steps are implemented:

[0034] Obtain market status information of electricity buyers and sellers respectively;

[0035] The market status information is processed using a pre-built comprehensive bidding model to obtain profit information and candidate bidding schemes, and the target bidding schemes of the electricity seller and the electricity buyer are determined based on the profit information and the candidate bidding schemes.

[0036] In a fifth aspect, the present application further provides a computer program product, including a computer program, which implements the following steps when executed by a processor:

[0037] Obtain market status information of electricity buyers and sellers respectively;

[0038] The market status information is processed using a pre-built comprehensive bidding model to obtain profit information and candidate bidding schemes, and the target bidding schemes of the electricity seller and the electricity buyer are determined based on the profit information and the candidate bidding schemes.

[0039] The above-mentioned method, device and computer equipment for determining the quotation scheme for the electricity market first obtain the market status information of the electricity buyer and the electricity seller respectively; then use the pre-constructed comprehensive bidding model to process the market status information to obtain profit information and candidate quotation schemes, and determine the target quotation schemes of the electricity seller and the electricity buyer based on the profit information and the candidate quotation schemes; in this method, by effectively obtaining market status information, processing it using the comprehensive bidding model, and determining a suitable target quotation scheme, market entities can maximize their profits and reduce risks in a dynamically changing market environment, which optimizes the benefits of electricity buyers and sellers in electricity transactions, and also helps to promote the rational allocation of market resources, improve market efficiency and stability, and ultimately maximize the interests of market entities. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the drawings required for use in the embodiments of the present application or related technical descriptions will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0041] Figure 1 is an internal structure diagram of a computer device in one embodiment;

[0042] Figure 2 A schematic diagram of a flow chart of a method for determining a bidding scheme for a power market in one embodiment;

[0043] Figure 3 A schematic flow chart of a method for determining a bidding scheme for a power market in another embodiment;

[0044] Figure 4 A schematic flow chart of a method for determining a bidding scheme for a power market in another embodiment;

[0045] Figure 5 A schematic flow chart of a method for determining a bidding scheme for a power market in another embodiment;

[0046] Figure 6 A schematic flow chart of a method for determining a bidding scheme for a power market in another embodiment;

[0047] Figure 7 The present invention is a structural block diagram of a device for determining a bidding scheme in an electricity market in one embodiment. DETAILED DESCRIPTION

[0048] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0049] In an exemplary embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as shown in FIG. Figure 1 As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. Among them, the processor, the memory and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store data used in the process of determining the quotation scheme for the electricity market. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a method for determining a quotation scheme for the electricity market is implemented.

[0050] Those skilled in the art will understand that Figure 1 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0051] In an exemplary embodiment, Figure 2 As shown, a method for determining a bidding scheme for an electricity market is provided. Figure 1 The computer device in the example is used to illustrate, including the following steps 201 to 202. Among them:

[0052] Step 201: Obtain market status information of electricity buyers and electricity sellers respectively.

[0053] Among them, the power purchaser refers to the entity that purchases electricity in the power market, usually power users, power retailers or large power users. The power seller refers to the entity that sells electricity in the power market, usually including power generation companies, power wholesalers or power producers.

[0054] Market status information refers to the dynamic information of the current power market, such as power supply and demand, price fluctuations, policy factors, weather conditions, etc. Market status information can influence the decision-making of power buyers and sellers, helping them make reasonable bids in the bidding.

[0055] In an embodiment of the present application, a computer device can be connected to the power market platform to access the market data interface related to the power buyer and the power seller. The power market platform can provide real-time or historical market prices, transaction volumes, supply and demand relationships and other data, which can reflect the market status of the power buyer and the power seller. The computer device can obtain market status information through an application programming interface (Application Programming Interface, referred to as API).

[0056] In some embodiments, the computer device can also access external data sources, such as market reports and forecast analysis platforms. These platforms generally provide trend analysis, price forecasts, and policy change information for the power market. The computer device can collect market status information through an API interface.

[0057] At the same time, computer equipment can also integrate the internal management system data of power buyers and sellers to obtain current demand, supply and cost information. For power buyers, market status information may include data such as their purchase volume and demand fluctuations, while market status information for power sellers may include information such as power supply, inventory status and power generation costs. These internal data can be directly read through the interface with the management system and combined with external market data to form more comprehensive market status information.

[0058] Step 202: Process the market status information using the pre-built comprehensive bidding model to obtain profit information and candidate bidding schemes, and determine the target bidding schemes of the electricity seller and the electricity buyer based on the profit information and the candidate bidding schemes.

[0059] Among them, the comprehensive bidding model is a model used to analyze the bidding process of electricity buyers and sellers. The model combines the market status information of electricity buyers and sellers, simulates and analyzes possible bidding situations, and helps both parties formulate better bidding strategies to obtain the best price in the market.

[0060] Profit information is used to indicate the possible profits that the electricity seller or electricity buyer may obtain under different quotation conditions. Profit information can help electricity buyers and sellers consider potential benefits when selecting quotations, thereby making profit-maximizing decisions.

[0061] Candidate quotation schemes refer to a series of feasible quotation schemes obtained after profit analysis. Candidate quotation schemes are selected based on market status and profit information, and are competitive quotation options based on meeting the needs of both parties.

[0062] The target bidding scheme is the final bidding scheme that is further screened among the candidate bidding schemes. The power buyers and sellers will make actual bids or bids based on this scheme. The target bidding scheme is usually the final strategy selected based on profit maximization and market adaptability.

[0063] In the embodiment of the present application, the comprehensive bidding model performs demand and supply forecasting based on market status information to predict market demand and supply in the future. Through supply forecasting, the comprehensive bidding model can determine the supply and demand balance point under different market conditions, thereby providing effective guidance for the formulation of quotation strategies.

[0064] After clarifying the market supply and demand situation, the comprehensive bidding model can generate a series of bidding strategy combinations. Each bidding strategy combination contains the bidding options of the power purchaser and the power seller under different market conditions. The comprehensive bidding model simulates these bidding strategy combinations to obtain the results of the market reaction simulation, and uses the results of the market reaction simulation to evaluate the market's response to each bidding strategy combination to determine its competitiveness and market adaptability, thereby screening out the bidding plan suitable for the current market status.

[0065] Then, based on the results of the market response simulation, the comprehensive bidding model calculates the profit of each bidding strategy combination to generate profit information for each bidding strategy combination. After obtaining the profit information of each bidding strategy combination, the comprehensive bidding model screens the profit information and the bidding strategy combination, and retains the bidding strategy combination that performs better in terms of both revenue and market response, which are the candidate bidding solutions. These candidate solutions represent the potential best options under the current market conditions, which not only meet market demand but also have high profit potential.

[0066] Finally, based on the screened candidate bidding schemes, the comprehensive bidding model further evaluates factors such as market risk, profit balance and market adaptability of each candidate bidding scheme, and finally determines the target bidding schemes for electricity sellers and buyers.

[0067] In the above-mentioned method for determining the quotation scheme for the power market, the market status information of the power buyer and the power seller are first obtained respectively; then the market status information is processed using the pre-constructed comprehensive bidding model to obtain profit information and candidate quotation schemes, and the target quotation schemes of the power seller and the power buyer are determined based on the profit information and the candidate quotation schemes; in this method, by effectively acquiring market status information, processing it using the comprehensive bidding model, and determining a suitable target quotation scheme, market entities can maximize their profits and reduce risks in a dynamically changing market environment, which optimizes the benefits of power buyers and sellers in power transactions, and also helps to promote the rational allocation of market resources, improve market efficiency and stability, and ultimately maximize the interests of market entities.

[0068] In an exemplary embodiment, the above comprehensive bidding model includes a profit model, a market environment model and a strategy model. On this basis, Figure 3 As shown, the above-mentioned process uses the pre-built comprehensive bidding model to process the market status information, obtains the profit information and the candidate bidding schemes, and determines the target bidding schemes of the electricity seller and the electricity buyer according to the profit information and the candidate bidding schemes, including steps 301 to 303, wherein:

[0069] Step 301: input market status information into a profit model to obtain profit information of electricity buyers and sellers output by the profit model.

[0070] Among them, the profit model is a model used to analyze the profits that electricity buyers and sellers may obtain under different quotation conditions. By inputting market status information into the profit model, the expected returns of electricity buyers and sellers under different prices and supply and demand relationships can be calculated, thereby generating profit information.

[0071] In an embodiment of the present application, the market status information of the electricity buyer and the electricity seller is input into a preset profit model, and the profit model analyzes and calculates the market status information to generate the profit information of the electricity buyer and the electricity seller.

[0072] Step 302: input the profit information into the market environment model to obtain a plurality of candidate quotation schemes within the power sales range output by the market environment model.

[0073] Among them, the market environment model is a model used to analyze the supply and demand environment of the power market based on profit information. The model uses profit information, considers market supply and demand, policies, competition and other factors, generates candidate quotation schemes that meet the needs of power buyers and sellers, and selects multiple quotation combinations within the power sales range for selection. The power sales range is the range of electricity that the power seller plans to sell.

[0074] In the embodiment of the present application, the generated profit information is input into the market environment model, and the market environment model generates multiple candidate quotation schemes within different power sales ranges based on the profit information of the power purchaser and the power seller, combined with the current market environment. Each candidate quotation scheme includes a feasible quotation option under the current market conditions, ensuring that the quotation scheme can meet the profit targets of the power purchaser and the power seller while meeting the market demand.

[0075] Step 303: input the profit information and multiple candidate quotation schemes into the strategy model to obtain the target quotation schemes of the electricity buyer and the electricity seller.

[0076] Among them, the strategy model is a model used to formulate the final bidding strategy. Based on profit information and candidate bidding schemes, the strategy model comprehensively analyzes the goals, market environment and competition strategies of the power buyer and the power seller, and finally outputs the optimal target bidding scheme, so that both parties can obtain the maximum benefits in the bidding.

[0077] In an embodiment of the present application, the generated profit information and candidate quotation schemes are input into the strategy model. The strategy model conducts quantitative analysis and comparison of each candidate quotation scheme, comprehensively considers the profit information and the quotation targets of both parties, and screens out the target quotation scheme that is in the best interests of the electricity buyer and the electricity seller.

[0078] In the above embodiment, through the optimization processing of each model, the target quotation scheme of the electricity buyer and the electricity seller will comprehensively consider profit maximization and market adaptability, making the quotation more reasonable and accurate, which can effectively avoid the risks brought by market uncertainty and maximize the profits of both parties to the transaction.

[0079] In an exemplary embodiment, the market status information is input into the profit model to obtain the profit information of the electricity buyer and the electricity seller output by the profit model, including:

[0080] In case one, the market status information of the electricity buyer is input into the profit model to obtain the profit information of the electricity buyer under different purchase price and purchase volume combinations; the profit model corresponding to the electricity buyer is used to characterize the corresponding relationship between the profit information and the purchase price, retail price, deviation assessment and purchase volume.

[0081] The market status information of the power purchaser reflects the current market environment information of the power purchaser, including demand, price changes, market supply and policy factors. The power purchaser uses this information to evaluate the market and make favorable purchasing decisions.

[0082] The profit information of the electricity buyer indicates the profit level that the electricity buyer may obtain under different purchase price and purchase volume combinations. The profit information helps the electricity buyer choose the optimal purchase plan to maximize cost-effectiveness under market conditions.

[0083] The purchase price is the price paid by the electricity purchaser to obtain electricity. It is determined by the supply and demand conditions in the electricity market. The purchase price directly affects the cost and profit of the electricity purchaser.

[0084] The retail price is the price at which electricity is sold by the electricity buyer to the end user.

[0085] Deviation assessment is a penalty or reward mechanism for power buyers and sellers in the power market, based on the difference between actual supply and demand and forecasts. Deviation assessment is reflected in the profit of power buyers as a cost or revenue adjustment factor.

[0086] The purchase volume is the amount of electricity that the power buyer plans to purchase from the market within a specific period of time. The purchase volume is affected by demand forecasts and cost control strategies, and determines the cost and profit of the power buyer.

[0087] In an embodiment of the present application, the market status information of the electricity purchaser is input into the profit model to obtain the profit information of the electricity purchaser under different purchase price and purchase quantity combinations; the profit model corresponding to the electricity purchaser is used to characterize the correspondence between the profit information and the purchase price, retail price, deviation assessment and purchase quantity.

[0088] In some embodiments, the profit model corresponding to the electricity purchaser is shown in formula (1):

[0089]

[0090] in, is the purchase volume of the i-th electricity buyer, is the retail price of the i-th electricity buyer, f i is the deviation assessment, and p is the purchase price.

[0091] In the second case, the market status information of the electricity seller is input into the profit model to obtain the profit information of the electricity seller under different combinations of electricity sales volume and electricity sales price; the profit model corresponding to the electricity seller is used to characterize the correspondence between the profit information and the electricity sales volume, electricity sales price and cost information.

[0092] The market status information of the power seller is the relevant information of the current market environment of the power seller, including power supply capacity, market demand, price trend and cost factors. This information helps the power seller to conduct market analysis and strategy optimization when formulating power sales plans.

[0093] The profit information of the electricity seller represents the expected income of the electricity seller under different combinations of electricity prices and electricity sales. The electricity seller uses this information to select a suitable electricity sales plan to maximize profits under market conditions.

[0094] The amount of electricity sold is the amount of electricity that the electricity seller plans to sell to the market within a specific period of time.

[0095] The electricity sales price is the price at which the electricity seller plans to sell electricity.

[0096] Cost information refers to the cost information generated by the electricity seller in the process of power generation or power purchase, including fuel, operation, maintenance, taxes and other expenses.

[0097] In an embodiment of the present application, the market status information of the electricity seller is input into the profit model to obtain the profit information of the electricity seller under different combinations of electricity sales volume and electricity selling price; the profit model corresponding to the electricity seller is used to characterize the correspondence between the profit information and the electricity sales volume, electricity selling price and cost information.

[0098] In some embodiments, the profit model corresponding to the electricity seller is shown in formula (2):

[0099] u i =q i ×f(Q)-q i ×c i (q i )(2)

[0100] Among them, q i is the electricity sales volume, f(Q) is the electricity sales price, c i (q i ) is the cost information.

[0101] In the above embodiment, by inputting the market status information of the power purchaser and the power seller into the profit model, the profit information under different pricing and transaction combinations is calculated, which can not only help both parties to accurately grasp the market conditions, but also optimize the pricing strategy, reduce risks, and ultimately maximize profits. The power purchaser can improve the procurement efficiency by adjusting the combination of purchase price and purchase quantity; the power seller can maximize profits through accurate pricing and power sales volume control.

[0102] In an exemplary embodiment, Figure 4 As shown, the profit information is input into the market environment model to obtain multiple candidate quotation schemes within the power sales range output by the market environment model, including steps 401 to 403, wherein:

[0103] Step 401: Use the market environment model to divide the electricity sales amount to obtain multiple electricity intervals.

[0104] The electricity sales amount is divided into multiple segments, and each segment is called an electricity range.

[0105] In the embodiment of the present application, the market environment model determines the appropriate range of electricity sales based on the current total market demand, the actual production capacity of the electricity seller, and the market capacity. Next, the market environment model can divide the electricity sales into multiple electricity intervals from the lowest to the highest based on the demand characteristics. The division method can be equal division, or increase the division density for areas with concentrated demand and large fluctuations, so as to adapt to the market situation more accurately.

[0106] Step 402: for each electricity quantity interval, determine the interval quotation corresponding to the electricity quantity interval based on the profit information.

[0107] Among them, multiple interval quotations show a monotonic non-decreasing trend, so that the interval quotation with larger electricity volume is not lower than the previous interval, avoiding market confusion or price competition due to unreasonable pricing.

[0108] The interval quotation is a specific quotation set for each power interval, which represents the price at which the power seller sells electricity within the interval. By setting the interval quotation reasonably, the power seller can obtain the best profit in different power sales intervals.

[0109] The monotonic non-decreasing trend refers to the trend that the bids for multiple intervals do not decrease as the power interval increases, that is, the bids for the next interval are not lower than the bids for the previous interval. This trend ensures that the bidding scheme is consistent and competitive in the market, while avoiding selling large quantities of electricity at low prices.

[0110] In the embodiment of the present application, for each electricity quantity interval, an interval quotation corresponding to the electricity quantity interval is determined based on the profit information.

[0111] In some embodiments, according to the centralized bidding rules in most regions, multiple-segment bids can be submitted, and the interval bids show a monotonically non-decreasing trend and meet the following constraints:

[0112]

[0113]

[0114]

[0115] Among them, k is the number of power intervals, is (the quantity corresponding to the kth quantity interval, the price quoted for the kth interval), q s The upper limit of the amount of electricity that the electricity seller can declare. In the centralized bidding rules, since the market clearing rules do not use the quotation as the settlement price, the market players may bid low prices in the first few sections and bid high prices in the last section to raise the overall price. The market supervision department will set the upper and lower limits of the interval quotation, so the range of the interval quotation is:

[0116]

[0117] in, is the lower limit of the quotation. The upper limit of the offer.

[0118] The interval quotation is a continuous space, which is discretized for the convenience of calculation. Can take any value.

[0119] Step 403, determine the power interval and the interval quotation corresponding to the power interval as a candidate quotation scheme.

[0120] In the embodiment of the present application, the generated power intervals and their corresponding interval quotations are combined to determine a candidate quotation scheme. The candidate quotation scheme includes quotation strategies for multiple different power intervals, providing a series of optional quotation combinations for the subsequent decision-making process.

[0121] In the above embodiment, the electricity seller can not only formulate a competitive and market-adaptive quotation plan, but also adjust the quotation strategy according to different electricity demands and market environment. This can improve the market transparency and price discovery efficiency, so that the electricity seller and the electricity buyer have more reasonable price expectations when trading with each other, and ultimately maximize the interests of both parties.

[0122] In an exemplary embodiment, Figure 5 As shown, the profit information and multiple candidate quotation schemes are input into the strategy model to obtain the target quotation schemes of the power buyer and the power seller, including steps 501 to 502, wherein:

[0123] Step 501: for each candidate quotation scheme, a quantitative evaluation process is performed on the candidate quotation scheme using a strategy model to obtain a risk value of the candidate quotation scheme.

[0124] Among them, the quantitative evaluation process is to convert various factors in the candidate quotation scheme (such as price, quantity, market conditions, etc.) into specific numerical indicators.

[0125] The risk value is the risk level calculated by the strategy model for each candidate quotation scheme, reflecting the risk of income fluctuation or loss that the candidate quotation scheme may face under conditions such as market fluctuations, policy changes, and supply and demand uncertainties. The level of the risk value affects the security of the candidate quotation scheme and the reliability of its income.

[0126] In the embodiment of the present application, for each candidate quotation scheme, the strategy model will perform a detailed quantitative evaluation and calculate its risk value.

[0127] In some embodiments, the strategy model identifies potential risk factors based on the current market status, historical transaction data, and predicted market trends, such as demand fluctuations, supply uncertainty, competitor pricing strategies, policy changes, etc. The strategy model evaluates the risks that each candidate quotation solution may face in different market scenarios through probability statistics and risk simulation.

[0128] Step 502: Determine a target quotation scheme from multiple candidate quotation schemes based on the risk value and profit information.

[0129] In the embodiment of the present application, the strategy model will then combine these risk values ​​with the corresponding profit information for comprehensive analysis. The strategy model will calculate the ratio of the expected return of each candidate quotation scheme to its risk value, and evaluate which candidate quotation schemes can avoid excessive risks while meeting the profit target. For example, some candidate quotation schemes may bring higher profits, but the corresponding risks are also greater; while other candidate quotation schemes may have lower risks but lower profits. The strategy model will balance these factors according to the target optimization strategy and determine the final target quotation scheme.

[0130] In some embodiments, the strategy model will also adjust the weights according to changes in the market environment. For example, in a market environment where demand is relatively tight, it may tend to choose candidate quotation plans with higher profits but slightly higher risks; when market demand is sluggish, it may choose candidate quotation plans with lower risks to ensure stable returns.

[0131] In the above embodiment, by selecting a target quotation scheme from multiple candidate schemes, the power seller can allocate its resources more efficiently. The optimal quotation scheme can ensure the best use of resources while reducing resource waste or cost increase caused by unreasonable price setting. By comprehensively evaluating the risks and profits of each candidate quotation scheme, the power seller can select a quotation strategy with the greatest profit potential and controllable risks while ensuring profits, thereby improving the overall profit level.

[0132] In an exemplary embodiment, Figure 6 As shown, the method further includes steps 601 to 604, wherein:

[0133] Step 601, converting the target quotation scheme to obtain a converted target quotation scheme.

[0134] The converted target quotation scheme includes at least state information, action information and reward information.

[0135] Status information indicates the status of the current market environment, such as market supply and demand, competitor quotations, policy changes and other factors. Status information provides the environmental context for each quotation action.

[0136] The action information indicates the specific operations taken by the electricity seller according to the market status, such as adjusting the electricity price, changing the power supply, etc.

[0137] The reward information reflects the economic returns that the electricity seller expects to obtain after performing specific actions, such as profits, market share, etc.

[0138] The conversion process is to perform specific processing on the target quotation scheme, converting it into a data structure suitable for algorithm optimization to facilitate subsequent calculation and optimization.

[0139] In an embodiment of the present application, first, the computer device converts the current target quotation scheme and converts the original target quotation scheme into a format containing useful information for further analysis and decision-making. The computer device extracts status information from the current market status, such as market demand, power supply, price fluctuations, etc.; at the same time, according to market dynamics and forecasts, it extracts action information related to the target quotation, such as the quotation strategy that the electricity seller or buyer can adjust, such as the electricity selling price, purchase price, supply volume, etc. The ultimate goal of the conversion process is to ensure that the target quotation scheme has a structure for quantitative evaluation.

[0140] Step 602, creating a reference table based on the state information, action information and reward information.

[0141] Among them, the benchmark table is used to record and analyze the performance and expected results of the target quotation plan under different market scenarios.

[0142] In an embodiment of the present application, after the target quotation scheme is converted into a quantifiable format, the converted target quotation scheme will be used to create a benchmark table. The computer device will construct a benchmark table based on the extracted state information, action information, and reward information, and the benchmark table is used to map the relationship between the market environment and the target quotation scheme. The benchmark table records the relationship between changes in market status and rewards for the target quotation scheme, such as changes in profits that may be brought about by adjusting prices or supply volumes under certain specific market demand conditions.

[0143] Step 603: Update the benchmark table based on the market status information to obtain an updated benchmark table.

[0144] Among them, the updated benchmark table is refreshed or re-evaluated after the market status information is updated, so that the benchmark table more accurately reflects the real-time market environment and facilitates subsequent optimization of quotation decisions.

[0145] In an embodiment of the present application, as the market environment changes, the original benchmark table needs to be updated according to the new market status. New market status information may come from real-time data feedback, such as demand fluctuations, supply and demand differences, policy changes, etc. The computer device will recalculate and adjust the reward information in the benchmark table based on these real-time changes. For example, if the market demand suddenly increases, the computer device will adjust the data in the benchmark table based on this change to reflect the impact of changes in market demand on the target quotation plan. Through this update, the target quotation plan can respond to the dynamic changes of the market more accurately and optimize its expected effect.

[0146] Step 604: Determine an optimized target quotation scheme based on the updated benchmark table.

[0147] Among them, the optimized target bidding plan is the final bidding plan determined based on the updated benchmark table. This plan is further optimized based on market conditions and revenue. It is the bidding strategy actually adopted by electricity sellers in the market, aiming to maximize revenue and control risks.

[0148] In an embodiment of the present application, based on the updated benchmark table, the computer device will optimize the target quotation scheme. The core goal of the optimization is to maximize the benefits of the current target quotation scheme under new market conditions. The computer device will analyze the status information and reward information recorded in the updated benchmark table to identify the adjustment strategy that can best increase profits or achieve other goals. For example, based on the latest market demand, supply and demand conditions, price fluctuations, etc., the computer device may suggest adjusting the electricity sales, price or other parameters in the target quotation scheme to improve the overall effect of the scheme. The result of the optimization is that by adjusting the specific parameters of the target quotation scheme, it can perform more efficiently and reasonably in the current market environment.

[0149] Finally, based on the results obtained in the optimization step, the computer equipment determines the optimized target quotation plan. The optimized target quotation plan is an adjusted, updated and optimized version that can achieve the best results in the new market environment. The optimized target quotation plan will reflect a more competitive quotation, an improved profit level or a more robust market adaptability.

[0150] In the above embodiment, the optimized target quotation scheme can achieve the best balance between profit and risk, ensuring that the electricity seller obtains the maximum return in a highly competitive market environment. By updating and optimizing the benchmark table, the target quotation scheme can better adapt to market fluctuations and improve the accuracy and long-term stability of decision-making. The optimized quotation scheme can not only improve its own profitability, but also improve its competitiveness in the fierce market competition, thereby occupying a larger market share.

[0151] According to some embodiments of the present application, a method for determining a bidding scheme for a power market is provided. The method is described by taking the method applied to a computer device as an example, and the method may include the following steps:

[0152] Step 1: Obtain market status information of electricity buyers and sellers respectively.

[0153] Step 2: Input the market status information of the electricity buyer into the profit model to obtain the profit information of the electricity buyer under different purchase price and purchase volume combinations; the profit model corresponding to the electricity buyer is used to characterize the corresponding relationship between the profit information and the purchase price, retail price, deviation assessment and purchase volume.

[0154] Step 3: Input the market status information of the electricity seller into the profit model to obtain the profit information of the electricity seller under different combinations of electricity sales volume and electricity sales price; the profit model corresponding to the electricity seller is used to characterize the corresponding relationship between the profit information and the electricity sales volume, electricity sales price and cost information.

[0155] Step 4: Use the market environment model to divide the electricity sales amount to obtain multiple electricity intervals.

[0156] Step 5: for each electricity quantity interval, determine the interval quotation corresponding to the electricity quantity interval based on the profit information; wherein the multiple interval quotations present a monotonic non-decreasing trend.

[0157] Step 6: Determine the power interval and the interval quotation corresponding to the power interval as the candidate quotation scheme.

[0158] Step 7: For each candidate quotation scheme, use the strategy model to perform quantitative evaluation on the candidate quotation scheme to obtain the risk value of the candidate quotation scheme.

[0159] Step 8: Determine a target quotation scheme from multiple candidate quotation schemes based on the risk value and profit information.

[0160] Step 9: convert the target quotation scheme to obtain a converted target quotation scheme. The converted target quotation scheme at least includes state information, action information and reward information.

[0161] Step 10: Create a benchmark table based on the state information, action information and reward information.

[0162] Step 11: Update the benchmark table based on the market status information to obtain an updated benchmark table.

[0163] Step 12: Determine an optimized target quotation scheme based on the updated benchmark table.

[0164] It should be understood that, although the steps in the flowcharts involved in the above embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps is not strictly limited in order, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above embodiments may include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0165] Based on the same inventive concept, the embodiment of the present application also provides a device for determining a quotation scheme for the power market for implementing the above-mentioned method for determining a quotation scheme for the power market. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above-mentioned method, so the specific limitations in one or more embodiments of the device for determining a quotation scheme for the power market provided below can refer to the limitations of the method for determining a quotation scheme for the power market above, and will not be repeated here.

[0166] In an exemplary embodiment, Figure 7 As shown, a bidding scheme determination device for a power market is provided, comprising: an information acquisition module 701 and a bidding scheme determination module 702, wherein:

[0167] The information acquisition module 701 is used to respectively acquire the market status information of the electricity buyer and the electricity seller;

[0168] The quotation scheme determination module 702 is used to process the market status information using the pre-built comprehensive bidding model to obtain profit information and candidate quotation schemes, and determine the target quotation schemes of the electricity seller and the electricity buyer based on the profit information and the candidate quotation schemes.

[0169] In an exemplary embodiment, the comprehensive bidding model includes a profit model, a market environment model and a strategy model. The above-mentioned quotation scheme determination module 702 is specifically used to input market status information into the profit model to obtain profit information of the power buyer and the power seller output by the profit model;

[0170] The profit information is input into the market environment model to obtain multiple candidate quotation schemes within the power sales range output by the market environment model; the profit information and multiple candidate quotation schemes are input into the strategy model to obtain the target quotation schemes of the power buyer and the power seller.

[0171] In an exemplary embodiment, the quotation scheme determination module 702 is specifically used to input the market status information of the electricity purchaser into the profit model to obtain the profit information of the electricity purchaser under different purchase price and purchase quantity combinations; the profit model corresponding to the electricity purchaser is used to characterize the correspondence between the profit information and the purchase price, retail price, deviation assessment and purchase quantity; the market status information of the electricity seller is input into the profit model to obtain the profit information of the electricity seller under different sales volume and electricity selling price combinations; the profit model corresponding to the electricity seller is used to characterize the correspondence between the profit information and the sales volume, electricity selling price and cost information.

[0172] In an exemplary embodiment, the above-mentioned quotation scheme determination module 702 is specifically used to divide the electricity sales volume by using the market environment model to obtain multiple electricity intervals; for each electricity interval, determine the interval quotation corresponding to the electricity interval based on profit information; wherein the multiple interval quotations show a monotonic non-decreasing trend; and determine the electricity interval and the interval quotations corresponding to the electricity interval as candidate quotation schemes.

[0173] In an exemplary embodiment, the above-mentioned quotation scheme determination module 702 is specifically used to use a strategy model to perform quantitative evaluation processing on each candidate quotation scheme to obtain a risk value of the candidate quotation scheme; based on the risk value and profit information, determine a target quotation scheme from multiple candidate quotation schemes.

[0174] In an exemplary embodiment, the above device further includes:

[0175] The conversion module 703 is used to convert the target quotation scheme to obtain a converted target quotation scheme; the converted target quotation scheme at least includes state information, action information and reward information;

[0176] A creation module 704, for creating a reference table based on the state information, the action information and the reward information;

[0177] An updating module 705, configured to update the benchmark table based on the market status information to obtain an updated benchmark table;

[0178] The optimization solution determination module 706 is used to determine an optimized target quotation solution based on the updated benchmark table.

[0179] Each module in the above-mentioned device for determining a bidding scheme for the power market can be implemented in whole or in part by software, hardware, or a combination thereof. Each of the above-mentioned modules can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute operations corresponding to each of the above modules.

[0180] In an exemplary embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the following steps are implemented:

[0181] Obtain market status information of electricity buyers and sellers respectively;

[0182] The market status information is processed using a pre-built comprehensive bidding model to obtain profit information and candidate bidding schemes, and the target bidding schemes of the electricity seller and the electricity buyer are determined based on the profit information and the candidate bidding schemes.

[0183] In one embodiment, the comprehensive bidding model includes a profit model, a market environment model, and a strategy model. When the processor executes the computer program, the following steps are also implemented:

[0184] Input the market status information into the profit model to obtain the profit information of the electricity buyer and the electricity seller output by the profit model;

[0185] Input the profit information into the market environment model to obtain multiple candidate quotation schemes within the power sales range output by the market environment model;

[0186] The profit information and multiple candidate bidding plans are input into the strategy model to obtain the target bidding plans for the electricity buyer and the electricity seller.

[0187] In one embodiment, when the processor executes the computer program, the following steps are also implemented:

[0188] The market status information of the power purchaser is input into the profit model to obtain the profit information of the power purchaser under different purchase price and purchase volume combinations; the corresponding profit model of the power purchaser is used to characterize the corresponding relationship between the profit information and the purchase price, retail price, deviation assessment and purchase volume;

[0189] The market status information of the electricity seller is input into the profit model to obtain the profit information of the electricity seller under different combinations of electricity sales volume and electricity sales price; the profit model corresponding to the electricity seller is used to characterize the corresponding relationship between the profit information and the electricity sales volume, electricity sales price and cost information.

[0190] In one embodiment, when the processor executes the computer program, the following steps are also implemented:

[0191] The market environment model is used to divide the electricity sales volume and obtain multiple electricity intervals;

[0192] For each electricity interval, the interval price corresponding to the electricity interval is determined based on the profit information; wherein the multiple interval prices present a monotonically non-decreasing trend;

[0193] The electricity quantity interval and the interval quotation corresponding to the electricity quantity interval are determined as candidate quotation schemes.

[0194] In one embodiment, when the processor executes the computer program, the following steps are also implemented:

[0195] For each candidate quotation scheme, the strategy model is used to perform quantitative evaluation on the candidate quotation scheme to obtain the risk value of the candidate quotation scheme;

[0196] Based on the risk value and profit information, a target quotation scheme is determined from multiple candidate quotation schemes.

[0197] In one embodiment, when the processor executes the computer program, the following steps are also implemented:

[0198] The target bidding scheme is transformed to obtain a transformed target bidding scheme; the transformed target bidding scheme at least includes state information, action information and reward information;

[0199] Create a benchmark table based on state information, action information and reward information;

[0200] updating the benchmark table based on the market status information to obtain an updated benchmark table;

[0201] Based on the updated benchmark table, determine the optimized target quotation plan.

[0202] In one embodiment, a computer readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented:

[0203] Obtain market status information of electricity buyers and sellers respectively;

[0204] The market status information is processed using a pre-built comprehensive bidding model to obtain profit information and candidate bidding schemes, and the target bidding schemes of the electricity seller and the electricity buyer are determined based on the profit information and the candidate bidding schemes.

[0205] In one embodiment, the comprehensive bidding model includes a profit model, a market environment model, and a strategy model. When the computer program is executed by a processor, the following steps are also implemented:

[0206] Input the market status information into the profit model to obtain the profit information of the electricity buyer and the electricity seller output by the profit model;

[0207] Input the profit information into the market environment model to obtain multiple candidate quotation schemes within the power sales range output by the market environment model;

[0208] The profit information and multiple candidate bidding plans are input into the strategy model to obtain the target bidding plans for the electricity buyer and the electricity seller.

[0209] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0210] The market status information of the power purchaser is input into the profit model to obtain the profit information of the power purchaser under different purchase price and purchase volume combinations; the corresponding profit model of the power purchaser is used to characterize the corresponding relationship between the profit information and the purchase price, retail price, deviation assessment and purchase volume;

[0211] The market status information of the electricity seller is input into the profit model to obtain the profit information of the electricity seller under different combinations of electricity sales volume and electricity sales price; the profit model corresponding to the electricity seller is used to characterize the corresponding relationship between the profit information and the electricity sales volume, electricity sales price and cost information.

[0212] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0213] The market environment model is used to divide the electricity sales volume and obtain multiple electricity intervals;

[0214] For each electricity interval, the interval price corresponding to the electricity interval is determined based on the profit information; wherein the multiple interval prices present a monotonically non-decreasing trend;

[0215] The electricity quantity interval and the interval quotation corresponding to the electricity quantity interval are determined as candidate quotation schemes.

[0216] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0217] For each candidate quotation scheme, the strategy model is used to perform quantitative evaluation on the candidate quotation scheme to obtain the risk value of the candidate quotation scheme;

[0218] Based on the risk value and profit information, a target quotation scheme is determined from multiple candidate quotation schemes.

[0219] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0220] The target bidding scheme is transformed to obtain a transformed target bidding scheme; the transformed target bidding scheme at least includes state information, action information and reward information;

[0221] Create a benchmark table based on state information, action information and reward information;

[0222] updating the benchmark table based on the market status information to obtain an updated benchmark table;

[0223] Based on the updated benchmark table, determine the optimized target quotation plan.

[0224] In one embodiment, a computer program product is provided, comprising a computer program, which, when executed by a processor, implements the following steps:

[0225] Obtain market status information of electricity buyers and sellers respectively;

[0226] The market status information is processed using a pre-built comprehensive bidding model to obtain profit information and candidate bidding schemes, and the target bidding schemes of the electricity seller and the electricity buyer are determined based on the profit information and the candidate bidding schemes.

[0227] In one embodiment, the comprehensive bidding model includes a profit model, a market environment model, and a strategy model. When the computer program is executed by a processor, the following steps are also implemented:

[0228] Input the market status information into the profit model to obtain the profit information of the electricity buyer and the electricity seller output by the profit model;

[0229] Input the profit information into the market environment model to obtain multiple candidate quotation schemes within the power sales range output by the market environment model;

[0230] The profit information and multiple candidate bidding plans are input into the strategy model to obtain the target bidding plans for the electricity buyer and the electricity seller.

[0231] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0232] The market status information of the power purchaser is input into the profit model to obtain the profit information of the power purchaser under different purchase price and purchase volume combinations; the corresponding profit model of the power purchaser is used to characterize the corresponding relationship between the profit information and the purchase price, retail price, deviation assessment and purchase volume;

[0233] The market status information of the electricity seller is input into the profit model to obtain the profit information of the electricity seller under different combinations of electricity sales volume and electricity sales price; the profit model corresponding to the electricity seller is used to characterize the corresponding relationship between the profit information and the electricity sales volume, electricity sales price and cost information.

[0234] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0235] The market environment model is used to divide the electricity sales volume and obtain multiple electricity intervals;

[0236] For each electricity interval, the interval price corresponding to the electricity interval is determined based on the profit information; wherein the multiple interval prices present a monotonically non-decreasing trend;

[0237] The electricity quantity interval and the interval quotation corresponding to the electricity quantity interval are determined as candidate quotation schemes.

[0238] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0239] For each candidate quotation scheme, the strategy model is used to perform quantitative evaluation on the candidate quotation scheme to obtain the risk value of the candidate quotation scheme;

[0240] Based on the risk value and profit information, a target quotation scheme is determined from multiple candidate quotation schemes.

[0241] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0242] The target bidding scheme is transformed to obtain a transformed target bidding scheme; the transformed target bidding scheme at least includes state information, action information and reward information;

[0243] Create a benchmark table based on state information, action information and reward information;

[0244] updating the benchmark table based on the market status information to obtain an updated benchmark table;

[0245] Based on the updated benchmark table, determine the optimized target quotation plan.

[0246] Those of ordinary skill 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 the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited thereto. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, an artificial intelligence (AI) processor, etc., but are not limited thereto.

[0247] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0248] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A method for determining a bidding scheme for an electricity market, characterized in that: The method comprises: Obtain market status information of electricity buyers and sellers respectively; The market status information is processed using a pre-built comprehensive bidding model to obtain profit information and candidate bidding schemes, and target bidding schemes of the electricity seller and the electricity buyer are determined based on the profit information and the candidate bidding schemes.

2. The method according to claim 1, characterized in that The comprehensive bidding model includes a profit model, a market environment model and a strategy model. The pre-built comprehensive bidding model is used to process the market status information to obtain profit information and candidate bidding schemes, and the target bidding schemes of the electricity seller and the electricity buyer are determined according to the profit information and the candidate bidding schemes, including: Inputting the market status information into the profit model to obtain profit information of the electricity buyer and the electricity seller output by the profit model; Inputting the profit information into the market environment model to obtain a plurality of candidate quotation schemes within the power sales range output by the market environment model; The profit information and the plurality of candidate quotation schemes are input into the strategy model to obtain target quotation schemes of the electricity buyer and the electricity seller.

3. The method according to claim 2, characterized in that The step of inputting the market status information into the profit model to obtain the profit information of the electricity buyer and the electricity seller output by the profit model includes: The market status information of the electricity purchaser is input into the profit model to obtain the profit information of the electricity purchaser under different purchase price and purchase quantity combinations; the profit model corresponding to the electricity purchaser is used to characterize the corresponding relationship between the profit information and the purchase price, retail price, deviation assessment and purchase quantity; The market status information of the electricity seller is input into the profit model to obtain the profit information of the electricity seller under different combinations of electricity sales volume and electricity sales price; the profit model corresponding to the electricity seller is used to characterize the correspondence between the profit information and the electricity sales volume, the electricity sales price and the cost information.

4. The method according to claim 3, characterized in that The step of inputting the profit information into the market environment model to obtain a plurality of candidate quotation schemes within the power sales range output by the market environment model includes: Using the market environment model to divide the power sales volume to obtain multiple power intervals; For each of the power intervals, determining an interval quotation corresponding to the power interval based on the profit information; wherein the multiple interval quotations present a monotonically non-decreasing trend; The power interval and the interval quotation corresponding to the power interval are determined as the candidate quotation scheme.

5. The method according to claim 2, characterized in that: The step of inputting the profit information and the plurality of candidate quotation schemes into the strategy model to obtain target quotation schemes of the electricity buyer and the electricity seller includes: For each of the candidate bidding schemes, using the strategy model to perform quantitative evaluation processing on the candidate bidding scheme to obtain a risk value of the candidate bidding scheme; Based on the risk value and the profit information, the target bidding scheme is determined from a plurality of the candidate bidding schemes.

6. The method according to claim 1, characterized in that The method further comprises: The target bidding scheme is converted to obtain a converted target bidding scheme; the converted target bidding scheme at least includes state information, action information and reward information; creating a reference table based on the state information, the action information, and the reward information; updating the benchmark table based on the market status information to obtain an updated benchmark table; Based on the updated benchmark table, an optimized target quotation scheme is determined.

7. A device for determining a bidding scheme for an electricity market, characterized in that: The device comprises: An information acquisition module is used to obtain market status information of electricity buyers and electricity sellers respectively; The quotation scheme determination module is used to process the market status information using a pre-built comprehensive bidding model to obtain profit information and candidate quotation schemes, and determine the target quotation schemes of the electricity seller and the electricity buyer based on the profit information and the candidate quotation schemes.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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