Market subject quotation method and transaction strategy for electric power mutual replacement spot market

Abstract

The invention provides a market subject quotation method and a transaction strategy of an electric power mutual replacement spot market. The quotation method comprises the steps of receiving a system adjustment demand shape curve, determining a soldable adjustment amount value range, calculating adjustment amount micro-increment cost of each adjustment amount level by using an adjustment demand forming model, generating an original amount-price pair sequence and performing monotonicity correction, and finally forming a piecewise linear quotation curve and submitting the piecewise linear quotation curve to a transaction center. The adjustment demand forming model defines an adjustment target curve according to the transaction stage, and a power curve, an adjustment demand curve and corresponding cost are obtained through solving of the optimization model. The adjustment amount micro-increase cost can be calculated through a Godlet derivative, a first-order Taylor expansion method or a differential approximation method. The transaction strategy is based on the quotation curve generated by the quotation method, the market clearing model is utilized to match the quantity regulation supply and demand, the market clearing price and the transaction result are formed, and a forward incentive mechanism is established.

Description

Technical Field

[0001] The present invention provides a quotation method and a trading strategy for market entities, and particularly relates to a quotation method and a trading strategy for market entities in a spot market for electric power interchange products. Background Art

[0002] With the transformation and development of new power systems, the integration of high proportions of renewable energy has led to an increasing demand for power system regulation, while the overall system regulation capacity has continued to weaken, posing severe challenges to the dispatch, operation, and control of the power system. Currently, in the time-of-use trading mechanism used by major power markets, individual market participants submit energy quotation curves to the market, which are then cleared by market operators using a unified optimization model.

[0003] At the decision-making level of individual market players, existing technologies mainly include two categories: one is the quotation method based on historical data and forecasting models, such as the three-part quotation method widely used in the PJM market in the United States; the other is the self-optimization quotation model that takes individual constraints into consideration, such as the unit self-dispatching model based on mixed integer programming (MIP). This model solves the optimal output curve and corresponding quotation based on the market players' own constraints and cost characteristics.

[0004] The strength of market players' regulatory capabilities directly constrains the efficiency of the electricity spot market. The weaker a market player's regulatory capabilities, the easier it is to reach their technical constraints. The more constraints there are, the smaller the feasible domain of the electricity spot market clearing model, and the consequently reduced market efficiency. China's energy authorities have prioritized improving regulatory capabilities and, in the "Implementation Plan for the Special Action Plan to Optimize the Regulatory Capacity of the Power System (2025-2027)," clearly stated that by 2027, regulatory capabilities will be significantly enhanced, supporting renewable energy utilization rates exceeding 90%.

[0005] Under the current mechanism, market participants struggle to accurately express and communicate their complex operational constraints and regulatory characteristics to the market. While the three-part bidding method is simple, it struggles to express time-series coupling constraints. While the self-optimizing bidding model incorporates constraints, the final market clearing results often differ from participants' expectations. Existing technologies lack effective means to quantify the regulatory capacity of market participants. Regulatory capacity, characterized by both technical and economic attributes, is subject to the triple complexity of constraint heterogeneity, cost sensitivity, and target dependency, making it difficult to measure and price using a unified standard. Market participants lack a clear understanding of their regulatory contributions, making it difficult to assess the value of their regulatory actions to the system and the corresponding economic benefits, leading to information asymmetry in decision-making. The costs incurred by market participants in complying with operational constraints (such as ramp limits) are difficult to compensate for in the existing electricity market, leading to a tendency for market participants to submit conservative bids and a reluctance to fully exploit their regulatory potential. Under the current mechanism, market participants who improve their regulatory capacity often see reduced benefits from lower market-clearing prices. Conversely, participants whose regulatory capacity declines may benefit from higher prices, creating a negative incentive that fundamentally constrains the improvement of the regulatory capacity of the new power system. Summary of the Invention

[0006] In order to solve the above problems, this application provides a quotation method for market entities in the spot market of electric power interchange products, including the following steps:

[0007] Step 1: The receiving system adjusts the demand shape curve;

[0008] Step 2: Based on the system adjustment demand shape curve, determine the value range of the market entity's saleable adjustment quantity;

[0009] Step 3: For each quantity adjustment level, calculate the corresponding incremental cost of quantity adjustment by adjusting the demand formation model to generate the original quantity-price pair sequence;

[0010] Step 4: Perform monotonicity correction on the original quantity-price pair sequence to ensure that the price increases monotonically with the adjustment level;

[0011] Step 5: Convert the corrected volume-price pair sequence into a piecewise linear quote curve and submit it to the trading center.

[0012] Preferably, the adjustment demand formation model includes the following steps:

[0013] Step 2.1: Define a regulation target curve based on the transaction phase. The regulation target curve is the product of the interchangeable electricity and the interchangeable product shape curve, or the product of the previous round output curve and the system regulation demand shape curve. The interchangeable product shape curve is a standardized curve that characterizes the time distribution characteristics of electricity.

[0014] Step 2.2: Given the external regulation price and the regulation target curve, use the optimization model to solve the objective function that minimizes the regulation cost, and obtain the power curve, regulation demand curve, and corresponding costs;

[0015] Step 2.3: The optimization model includes the sum of its own production cost and the cost of purchasing external regulation, and meets the consistency constraints of the power curve and the regulation target curve, the power conservation constraint and the individual operation constraint.

[0016] Preferably, the method for calculating the cost of the slight increase in the amount of adjustment includes:

[0017] The marginal cost of slightly increasing the saleable adjustment quantity in a specific shape at a specific power curve can be calculated through mathematical derivative methods (such as Gato derivative) or first-order Taylor expansion method; or the incremental cost can be calculated through the cost change under a small adjustment increment by using the differential approximation method.

[0018] Preferably, the monotonicity correction includes:

[0019] If the prices in adjacent quantity-price pairs do not increase monotonically with the quantity adjustment, the subsequent quantity adjustment price shall be corrected to a value not less than the previous quantity adjustment price.

[0020] Preferably, the value range of the saleable adjustment amount is determined by the following method:

[0021] The adjustment level will be gradually increased from zero until the adjustment price exceeds the upper limit of the external adjustment price.

[0022] A trading strategy for the spot market of electricity interchange products, including:

[0023] Based on the quotation curve generated by the method according to any one of claims 1 to 5, the trading center matches the supply and demand of the adjustment quantity through the market clearing model to form the market clearing price and transaction result;

[0024] The clearing model prioritizes matching bids with adjustment prices lower than or equal to the clearing price, and ensures that the adjustment contributions of market players are consistent with system requirements;

[0025] Preferably, the market clearing model further includes:

[0026] Market entities with strong regulatory capabilities can obtain additional profits by selling regulatory quantities, while market entities with weak regulatory capabilities can bear additional costs by purchasing regulatory quantities, thus forming a positive incentive mechanism.

[0027] A system for generating quotation for electric power interchange spot market, comprising:

[0028] Module 1: Regulation demand formation module, used to generate regulation demand and corresponding cost based on the regulation target curve and external regulation price;

[0029] Module 2: Module for calculating the cost of incremental capacity adjustment, which is used to calculate the marginal cost under different capacity adjustment levels based on optimization models and numerical methods;

[0030] Module 3: Quantity-price relationship generation module, used to generate and correct the quantity-price pair sequence and output a piecewise linear quotation curve.

[0031] Preferably, the adjustment demand forming module further includes:

[0032] Submodules for defining the regulation responsibility curve, initial output curve, and regulation demand curve, and ensuring that the difference between the power curve and the regulation target curve meets the preset constraints;

[0033] A computer-readable storage medium stores a computer program, wherein when the program is executed by a processor, the program implements the quotation method according to any one of claims 1 to 5 or the trading strategy according to claims 6 to 7.

[0034] One or more technical solutions provided in the embodiments of this application have at least the following technical effects or advantages:

[0035] In response to the above-mentioned defects and shortcomings of the prior art, the present invention proposes a method for forming demand adjustment and quotation for individual market entities in the power interchange market, which has the following advantages:

[0036] Accurately quantifying and characterizing regulatory capacity: By introducing concepts such as the regulatory demand curve, the regulatory responsibility curve, and the regulatory contribution curve, an effective method for quantitatively characterizing the regulatory capacity of individual market entities has been established. This method transforms regulatory capacity, which is difficult to characterize uniformly, into regulatory demands and regulatory contributions for specific regulatory objectives, thus resolving the challenge of quantifying regulatory capacity.

[0037] Provide a reasonable pricing mechanism for regulatory capacity: Through the method of calculating the incremental cost of regulation, the impact of individual constraints is converted into explicit price signals, enabling market players to accurately calculate their marginal costs of providing different levels of regulatory contributions, providing a basis for market-based pricing of regulatory capacity.

[0038] Enhance the autonomy and economic rationality of market players' decision-making: Individual market players can independently decide whether to purchase or sell external adjustment quantities based on the comparison between external adjustment prices and their own adjustment costs, thereby forming an economically reasonable adjustment quotation curve, which enhances the autonomy and economic rationality of decision-making.

[0039] Establish a positive incentive mechanism for regulatory capabilities: Through the quotation mechanism for regulating quantities, market players with strong regulatory capabilities can obtain additional profits by selling regulating quantities, while players with weak regulatory capabilities need to bear additional costs by purchasing regulating quantities, thus establishing a positive incentive mechanism for regulatory capabilities.

[0040] Reduced market participation costs and complexity: This invention provides a simple and clear method for generating and quoting quotas, lowering the barrier to entry and decision-making complexity for market participants. Market participants only need to solve optimization problems based on the target curve and their own constraints, eliminating the need for complex price forecasts, significantly reducing market participation costs.

[0041] Other advantages, objects and features of the present invention will be described in part in the following description and, in part, will be apparent to those skilled in the art based on an examination of the following or may be learned from the practice of the invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 A flowchart of a quotation method and trading strategy for market entities in a spot market for electric power interchange products according to the present invention

[0043] Figure 2 A flowchart of the method for quoting market participants and the generation and submission of quotation for transaction strategies in a spot market for electric power interchange products according to the present invention;

[0044] Figure 3 A schematic diagram of a demand formation model for a quotation method and trading strategy for market entities in a spot market for electric power interchange products according to the present invention;

[0045] Figure 4 A schematic diagram of a method for quoting prices by market players in a spot market for electric power interchange products and a calculation diagram of a slight increase in the cost of adjusting the quantity for a trading strategy according to the present invention;

[0046] Figure 5 The present invention provides a schematic diagram of the quantity-price relationship generation of a quotation method and trading strategy for market entities in a spot market for electric power interchange products. DETAILED DESCRIPTION

[0047] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0048] It should be noted that the terms “vertical”, “horizontal”, “up”, “down”, “left”, “right” and similar expressions used in this document are for illustrative purposes only and do not represent the only implementation method.

[0049] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the art to which this invention pertains; the terms used herein in the specification of the present invention are for the purpose of describing specific embodiments only and are not intended to limit the present invention; the term "and / or" used herein includes any and all combinations of one or more of the associated listed items.

[0050] like Figure 1 and Figure 2 As shown, a quotation method for market participants in the spot market of power interchange products includes receiving a system regulation demand shape curve, determining the range of available regulation quantities for market participants based on it, calculating the corresponding incremental regulation cost for each regulation level using a regulation demand formation model, generating an original quantity-price pair sequence, then performing a monotonic correction on this sequence to ensure that the price monotonically increases with the regulation level, and finally converting the corrected quantity-price pair sequence into a piecewise linear quotation curve and submitting it to the trading center. The regulation demand formation model involves defining a regulation target curve according to the transaction stage. Given an external regulation price and the regulation target curve, an optimization model is used to solve the objective function that minimizes the regulation formation cost, resulting in a power curve, a regulation demand curve, and corresponding costs. The optimization model involves the sum of the company's own production costs and the cost of purchasing regulation quantities from outside, and must satisfy the consistency constraints between the power curve and the regulation target curve, the energy conservation constraint, and the individual operation constraints. The cost of a small incremental capacity adjustment can be calculated using the Gato derivative or first-order Taylor expansion method to calculate the marginal cost of a small increase in the saleable capacity at a specific power curve and in a specific shape. Alternatively, the differential approximation method can be used to calculate the cost change for a small incremental capacity adjustment to determine the incremental cost. Monotonicity correction involves correcting the subsequent capacity adjustment price to a value no lower than the previous one when the price in adjacent capacity-price pairs does not increase monotonically with the capacity adjustment. Furthermore, the range of saleable capacity adjustment values ​​is determined by gradually increasing the capacity level from zero until the price exceeds the external capacity adjustment price ceiling.

[0051] In this embodiment, in the above-mentioned quotation method, in further detail:

[0052] The core concepts in this invention are defined as follows:

[0053] Regulation responsibility curve: represents the regulation targets that market entities should bear, expressed as a power time series.

[0054] Initial output curve: The power time series formed by market entities based on external regulation prices, their own constraints and regulation responsibility curve optimization.

[0055] Regulation demand curve: The difference between the regulation responsibility curve and the initial output curve represents the regulation demand that the market players cannot satisfy on their own.

[0056] Adjustment quantity: used to quantitatively represent the adjustment demand and adjustment contribution of market entities, including planned adjustment quantity (adjustment quantity hoped to be purchased from outside) and self-produced adjustment quantity (adjustment quantity produced by oneself).

[0057] Cost of slight increase in regulation capacity: The additional regulation capacity formation cost when slightly increasing the saleable regulation capacity in a specific shape at a specific power curve, used to measure the marginal cost of providing regulation capacity.

[0058] In the above technical solution, the formation of individual regulation demand is the basic process for the formation of power substitution and regulation contribution, and the description of the steps in claim 1 is as follows:

[0059] Step 1: Determine the target curve for adjustment

[0060] Adjust the target curve according to different transaction stages There are different definitions:

[0061] Substitution trading stage (m=0): That is, the product of the mutual replacement charge and the mutual replacement shape.

[0062] Volume adjustment trading stage (m≥1): That is, the product of the upper wheel output curve plus the saleable adjustment amount and the system adjustment demand shape.

[0063] Step 2: Construct a regulatory demand formation model

[0064] In the external adjustment price π RA and adjust the target curve Under given conditions, market entity i forms regulation demand by solving the following optimization model and obtains the power curve P i m , adjust the demand curve and corresponding costs

[0065]

[0066]

[0067] h i (P i m )≤0 (5)

[0068] Where C i is the production cost function of entity i, h i For individual constraints.

[0069] The adjustment demand formation model takes minimizing the adjustment formation cost as the optimization goal, as shown in formula (1). It specifically includes two parts: one is the self-production cost, and the other is the cost of purchasing adjustment. Formula (2) shows that after the subject i's own power curve is added to the adjustment demand curve, the shape and size should be the same as Equation (3) indicates that the amount of electricity remains unchanged during the adjustment process, and the total amount is Formula (4) is the adjustment amount for external purchases. Formula (5) is the individual constraint related to the operating characteristics of subject i.

[0070] Step 3: Solve the model to obtain the adjustment requirements

[0071] Solving the above model, we can get Indicates that the saleable quantity is When , the corresponding cost is The adjusted demand curve for external purchases is

[0072] Among them, in the calculation method of the slight increase cost of quantity adjustment, the slight increase cost of quantity adjustment is the basis for market entities to form quantity adjustment quotations, and the calculation method is as follows:

[0073] Step 1: Define the cost of incremental capacity adjustment

[0074] The cost of slight increase in quantity adjustment, also known as slight increase rate of quantity adjustment, refers to the cost of slight increase in quantity adjustment in P i Press The cost of adjusting the quantity when the saleable quantity is slightly increased. In P i Chuyan Gato derivative of direction ( derivative), can be calculated using the following formula:

[0075]

[0076] Calculated according to the adjustment demand formation model in the previous section.

[0077] Step 2: First-order expansion to simplify the calculation

[0078] Will Performing a first-order Taylor expansion, a simple deduction yields:

[0079]

[0080] In particular, if there is no need to purchase external adjustment quantity when the saleable adjustment quantity is formed, then at this time:

[0081]

[0082] Step 3: Numerical calculation method

[0083] In actual calculations, the difference approximation method can be used:

[0084]

[0085] Where ε is a sufficiently small positive number.

[0086] If special explanation is required, regarding the method for generating the quantity-price relationship of the saleable adjustment quantity, the quantity-price relationship of the saleable adjustment quantity refers to the price relationship corresponding to different levels of adjustment quantity provided by market entities. The generation method is as follows:

[0087] Step 1: Determine the range of the adjustment value

[0088] Starting from 0, increase the saleable quantity in a certain step When the adjustment price exceeds π RA Stop when

[0089] Step 2: Calculate the incremental cost for each adjustment level

[0090] For each adjustment level

[0091] Determine the corresponding adjustment target curve based on the adjustment level and system adjustment demand shape

[0092] Solve the adjustment demand formation model to obtain the adjustment formation cost

[0093] Calculate the cost of a slight increase in capacity under this capacity adjustment level

[0094] Step 3: Generate a sequence of volume-price pairs

[0095] Arrange the calculated series of volume-price pairs into a sequence:

[0096]

[0097] Step 4: Monotonicity Check and Correction

[0098] Check the monotonicity of the quantity-price pair sequence. If there exists an adjacent quantity-price pair that satisfies Then Corrected to Ensure that the price increases monotonically with the adjustment amount.

[0099] Step 5: Price Cap Constraint

[0100] All adjustment prices shall not exceed the external adjustment price π RA ,Right now:

[0101]

[0102] Regarding the process of generating and submitting quotation for quantity adjustment, the complete process for market entities to generate and submit quotation for quantity adjustment is as follows:

[0103] Step 1: Receive system adjustment demand shape

[0104] Market entities receive system-adjusted demand curve shapes from trading centers

[0105] Step 2: Determine the range of the adjustment value

[0106] Starting from 0, increase the saleable quantity in a certain step When the adjustment price exceeds π RA Stop when

[0107] Step 3: Calculate the incremental cost at each adjustment level

[0108] For each quantity adjustment level, the corresponding incremental cost of quantity adjustment is calculated to form the original quantity-price pair sequence.

[0109] Step 4: Volume-Price Relationship Correction

[0110] Perform monotonicity check and correction on the original quantity-price pair sequence to ensure that the price increases monotonically with the adjusted quantity.

[0111] Step 5: Generate a piecewise linear quote curve

[0112] Convert the corrected quantity-price pair series into a piecewise linear quote curve.

[0113] Step 6: Submit the quotation curve

[0114] The piecewise linear quote curve generated Submit to the trading center.

[0115] like Figure 3 、 4As shown in Figure 5, a trading strategy for the spot market of power interchange products is based on the quotation curve generated by the above quotation method. The trading center uses the market clearing model to match the supply and demand of the regulation quantity to form the market clearing price and the transaction result. The clearing model gives priority to matching the quotation whose regulation price is lower than or equal to the clearing price, and ensures that the regulation contribution of the market players is consistent with the system demand. It also further includes that the market players with strong regulation capabilities obtain additional income by selling the regulation quantity, and the market players with weak regulation capabilities bear additional costs by purchasing the regulation quantity, so as to form a positive incentive mechanism. Relatedly, there is a system for generating quotation for power interchange spot markets, which includes a regulation demand formation module, a regulation incremental cost calculation module, and a quantity-price relationship generation module. The regulation demand formation module is used to generate regulation demand and corresponding costs based on the regulation target curve and the external regulation price, and further includes submodules for defining the regulation responsibility curve, the initial output curve, and the regulation demand curve to ensure that the difference between the power curve and the regulation target curve meets preset constraints. The regulation incremental cost calculation module calculates the marginal cost at different regulation levels based on an optimization model and numerical methods. The quantity-price relationship generation module is used to generate and correct a sequence of regulation-price pairs and output a piecewise linear quotation curve. In addition, there is a computer-readable storage medium storing a computer program that, when executed by a processor, can implement the aforementioned quotation method or trading strategy.

[0116] In this implementation, all components work closely together to achieve efficient spot market trading of electricity interchange products. The regulation demand formation module, the incremental cost calculation module, and the quantity-price relationship generation module all utilize high-performance computing units to ensure fast and accurate completion of complex calculations. The regulation demand formation module, through a dedicated definition submodule, utilizes a high-precision power curve fitting algorithm to ensure that the difference between the power curve and the regulation target curve strictly meets preset constraints, with common constraint accuracy reaching within ±0.1%. The incremental cost calculation module uses advanced numerical analysis methods combined with optimization models to accurately calculate marginal costs at different regulation levels, with a calculation error within ±0.5%. The quantity-price relationship generation module uses a rigorous monotonicity detection algorithm to calibrate the quantity-price pair sequence with an accuracy of ±0.01 yuan / MWh and generate a piecewise linear quotation curve that meets market standards. The system's accompanying computer-readable storage medium utilizes high-capacity, high-speed solid-state storage devices to ensure fast program loading and stable operation, with storage read and write speeds exceeding 500MB / s. In specific embodiments, system parameters can be adjusted accordingly for power markets of varying sizes. For example, in a small regional power market, the regulation step can be set to 0.1MW, and the upper limit of the external regulation price is 100 yuan / MWh; in a large joint power market, the regulation step can be set to 1MW, and the upper limit of the external regulation price is 200 yuan / MWh.

[0117] Although the present invention has been disclosed above in terms of preferred embodiments, it is not intended to limit the present invention. Anyone familiar with this technology can make various changes and modifications without departing from the spirit and scope of the present invention. Therefore, the scope of protection of the present invention should be based on the definition of the claims.

Claims

1. A quotation method for market entities in the spot market of electric power interchange products, characterized in that: The following steps are involved: Step 1: The receiving system adjusts the demand shape curve; Step 2: Based on the system adjustment demand shape curve, determine the value range of the market entity's saleable adjustment quantity; Step 3: For each quantity adjustment level, calculate the corresponding incremental cost of quantity adjustment by adjusting the demand formation model to generate the original quantity-price pair sequence; Step 4: Perform monotonicity correction on the original quantity-price pair sequence to ensure that the price increases monotonically with the adjustment level; Step 5: Convert the corrected volume-price pair sequence into a piecewise linear quote curve and submit it to the trading center.

2. The method for quoting prices by market entities in a spot market for electric power interchange products according to claim 1, characterized in that: The regulation demand formation model includes the following steps: Step 2.1: Define a regulation target curve based on the transaction phase. The regulation target curve is the product of the interchangeable electricity and the interchangeable product shape curve, or the product of the previous round output curve and the system regulation demand shape curve. The interchangeable product shape curve is a standardized curve that characterizes the time distribution characteristics of electricity. Step 2.2: Given the external regulation price and the regulation target curve, use the optimization model to solve the objective function that minimizes the regulation cost, and obtain the power curve, regulation demand curve, and corresponding costs; Step 2.3: The optimization model includes the sum of its own production cost and the cost of purchasing external regulation, and meets the consistency constraints of the power curve and the regulation target curve, the power conservation constraint and the individual operation constraint.

3. The method for quoting prices by market entities in a spot market for electric power interchange products according to claim 2, characterized in that: The calculation method of the slight increase cost of the adjustment includes: The marginal cost of slightly increasing the saleable adjustment quantity in a specific shape at a specific power curve can be calculated through mathematical derivative methods (such as Gato derivative) or first-order Taylor expansion method; or the incremental cost can be calculated through the cost change under a small adjustment increment by using the differential approximation method.

4. The method for quoting prices by market entities in a spot market for electric power interchange products according to claim 1, characterized in that: The monotonicity correction includes: If the prices in adjacent quantity-price pairs do not increase monotonically with the quantity adjustment, the subsequent quantity adjustment price shall be corrected to a value not less than the previous quantity adjustment price.

5. The method for quoting prices by market entities in a spot market for electric power interchange products according to claim 1, characterized in that: The value range of the saleable adjustment amount is determined by the following method: The adjustment level will be gradually increased from zero until the adjustment price exceeds the upper limit of the external adjustment price.

6. A trading strategy for the spot market of power interchange products, characterized in that: include: Based on the quotation curve generated by the method according to any one of claims 1 to 5, the trading center matches the supply and demand of the adjustment quantity through the market clearing model to form the market clearing price and transaction result; The clearing model prioritizes matching quotations whose adjustment prices are lower than or equal to the clearing prices, and ensures that the adjustment contributions of market entities are consistent with system requirements.

7. A trading strategy for a power interchange spot market according to claim 6, characterized in that: The market clearing model further includes: Market entities with strong regulatory capabilities can obtain additional profits by selling regulatory quantities, while market entities with weak regulatory capabilities can bear additional costs by purchasing regulatory quantities, thus forming a positive incentive mechanism.

8. A system for generating quotation for power interchange spot market, characterized in that: include: Module 1: Regulation demand formation module, used to generate regulation demand and corresponding cost based on the regulation target curve and external regulation price; Module 2: Module for calculating the cost of incremental capacity adjustment, which is used to calculate the marginal cost under different capacity adjustment levels based on optimization models and numerical methods; Module 3: Quantity-price relationship generation module, used to generate and correct the quantity-price pair sequence and output a piecewise linear quotation curve.

9. A power interchange spot market quotation generation system according to claim 8, characterized in that: The adjustment demand forming module further includes: Submodules used to define the regulation responsibility curve, initial output curve, and regulation demand curve, and ensure that the difference between the power curve and the regulation target curve meets the preset constraints.

10. A computer-readable storage medium, characterized in that A computer program is stored, and when the program is executed by a processor, the quotation method according to any one of claims 1 to 5 or the trading strategy according to claims 6 to 7 is implemented.

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