Unit frequency modulation auxiliary service market transaction settlement method and system

Abstract

The invention relates to the technical field of power system frequency modulation auxiliary service markets, in particular to a unit frequency modulation auxiliary service market transaction settlement method and system. The method comprises the following steps: acquiring real-time operation data, quotation data and market node electricity price data of a unit from a power grid dispatching center and an electric power spot market system; based on the processed data, adjusting frequency, response time and adjusting precision are extracted to serve as evaluation parameters, and a subjective and objective combination weighting method is adopted to calculate comprehensive performance indexes; sorting the units from low to high according to the sorting prices, and determining bid-winning units and capacities; and a unified weighted average settlement price is calculated, and final settlement is carried out in combination with opportunity cost compensation. According to the method, the problems of insufficient fairness, low efficiency and lack of transparency in existing frequency modulation market transaction settlement are solved, a high-quality and high-price fair market environment is realized through comprehensive performance indexes and a block chain technology, participation of a high-performance unit is stimulated, and the settlement efficiency is improved.

Description

A method and system for transaction settlement in the generator frequency regulation ancillary services market. Technical Field

[0001] This invention relates to the field of power grid frequency regulation technology, specifically to a method and system for market transaction settlement of unit frequency regulation ancillary services. Background Technology

[0002] A Chinese patent, CN111832824B, discloses a method, apparatus, and system for clearing and settling transactions in the power frequency regulation market. This scheme optimizes frequency regulation ancillary services, electrical energy, and reserve ancillary services based on frequency regulation information, capacity demand, and mileage demand declared by various market participants to obtain a day-ahead frequency regulation plan. Based on the day-ahead plan and the frequency regulation information updated by participating market participants, a rolling frequency regulation plan is obtained by clearing frequency regulation ancillary services. A real-time frequency regulation plan is obtained by clearing electrical energy and reserve ancillary services based on real-time market demand and the rolling frequency regulation information updated by participating market participants in the rolling frequency regulation plan. Frequency regulation revenue is settled based on the real-time frequency regulation plan.

[0003] While this scheme attempts to introduce a market-based clearing mechanism, its core design still has significant flaws. The scheme primarily relies on the frequency regulation capacity and mileage price declared by the generating units for clearing. Although it considers opportunity cost and basic performance indicators, its evaluation of the unit's frequency regulation quality is based on a single dimension and a crude method. It fails to construct a scientific, comprehensive, and dynamic evaluation system that reflects the real-time frequency regulation performance of the units, and it fails to fully reflect the market principle of "high quality, high price." Its ranking logic places too much emphasis on price and lacks a mechanism that uses unit performance indicators as the core ranking basis. Summary of the Invention

[0004] The purpose of this invention is to provide a method and system for transaction settlement in the frequency regulation ancillary services market for generating units. By introducing comprehensive performance indicators and a ranking price mechanism, a fair competitive environment of "high quality, high price" is achieved, effectively incentivizing high-performance generating units to actively participate in the frequency regulation market. The use of blockchain smart contracts to automatically execute market clearing and settlement calculations significantly improves transaction efficiency, avoids the risk of human intervention, and ensures the transparency and credibility of the process. Through unified weighted average settlement combined with opportunity cost compensation, the settlement results reflect both the actual contribution and performance of the generating units and reasonably compensate for their opportunity loss in participating in frequency regulation, thereby improving the overall fairness and economy of the market and solving the problems mentioned in the background art.

[0005] To achieve the above objectives, the present invention provides the following technical solution: a method for settlement of transactions in the generator frequency regulation ancillary service market, comprising the following steps: S1, Data integration and preprocessing: data interaction is performed between the power grid dispatch center and the electricity spot market system to obtain real-time operating data, bid data, and market node electricity price data of the generator units, and the obtained raw data is cleaned and standardized; S2, Comprehensive performance index calculation: based on the processed data, the regulating frequency, response time, and regulating accuracy of the generator units are calculated and extracted as core evaluation parameters, and a combined weighting method combining expert knowledge and data statistical characteristics is used to determine the comprehensive weight of each parameter, and the comprehensive performance index of each generator unit is calculated by linear weighted summation; S3, Market clearing: bids from each generator unit are received, and the bids are standardized according to the comprehensive performance index to generate a ranking. S1. Sequential Pricing: All generating units are sorted in ascending order by price. Under the premise of meeting the total real-time frequency regulation capacity demand of the system, generating units are called sequentially according to this sequence to determine the winning generating units and their awarded capacity. S4. Smart Settlement: The bid prices and comprehensive performance indicators of all winning generating units are aggregated to calculate a unified weighted average settlement price. For each winning generating unit, the final settlement fee is calculated based on this unified price, its comprehensive performance indicators, actual power output, and its opportunity cost compensation. S5. Data Storage and Process Automation: Key process data and result data generated in steps S1 to S4 are recorded and stored on a blockchain platform. The market clearing logic in step S3 and the settlement fee calculation rules in step S4 are encoded into automatically executable smart contracts and deployed on the blockchain platform to achieve automatic triggering and execution of the process.

[0006] Preferably, regarding S2, the subjective and objective combined weighting method includes: the subjective weight determination step is as follows: domain experts compare the importance of the three evaluation parameters—adjustment frequency, response time, and adjustment accuracy—pair by pairwise, determine the order relationship, assign importance ratios to adjacent parameters, and then calculate the sovereign weight coefficient of each parameter; the objective weight determination step is as follows: calculate the correlation coefficient matrix between the data sequences of each evaluation parameter, assign objective weights according to the sum of the absolute values ​​of the correlation coefficients between the parameter and other parameters, the smaller the sum of the absolute values, the greater the weight; and weight and fuse the calculated sovereign weight coefficients and objective weight coefficients to obtain the comprehensive weight of each evaluation parameter.

[0007] Preferably, for the above-mentioned S3, the ranking price is calculated by the following formula: Ranking price = unit quotation / comprehensive performance index of the unit, the economic meaning of which is the cost corresponding to unit frequency regulation performance.

[0008] Preferably, for the purposes of S4, the uniform weighted average settlement price is calculated using the following formula: Weighted average settlement price = Σ (quotation of a single winning unit × comprehensive performance index of the unit) / Σ (comprehensive performance index of all winning units), and this price serves as the benchmark for subsequent settlement.

[0009] Preferably, for the above-mentioned S4, the opportunity cost compensation is calculated by the following formula: Opportunity Cost Compensation = |Real-time Node Price - Unit Marginal Cost| × Power Generation Deviation Adjusted Due to Frequency Regulation Command; Correspondingly, the final settlement fee is determined by the following formula: Final Settlement Fee = Uniform Weighted Average Settlement Price × Comprehensive Performance Index of the Unit × Actual Power Output + Opportunity Cost Compensation of the Unit.

[0010] Preferably, for S1, the real-time operating data includes grid frequency deviation, set output power, and actual output power; the set output power is generated by the grid dispatch center based on the grid frequency deviation.

[0011] A generator frequency regulation ancillary service market transaction settlement system is provided to implement a generator frequency regulation ancillary service market transaction settlement method, comprising: a data integration and preprocessing module configured to execute the data integration and preprocessing steps; a comprehensive indicator evaluation module connected to the data integration and preprocessing module and configured to execute the comprehensive performance indicator calculation steps; a market bidding and clearing module connected to the comprehensive indicator evaluation module and configured to execute the market clearing steps; an intelligent settlement and compensation module connected to the market bidding and clearing module and the data integration and preprocessing module and configured to execute the intelligent settlement steps; and a blockchain platform signal-connected to the data integration and preprocessing module, the market bidding and clearing module, and the intelligent settlement and compensation module, configured to provide a data storage and smart contract execution environment.

[0012] Preferably, the data integration and preprocessing module is configured to: communicate with the power grid dispatch center to obtain power grid frequency deviation, set output power, and actual output power; and communicate with the electricity spot market system to obtain market node electricity prices and unit bidding data. Preferably, the data stored on the blockchain platform includes: raw and processed data obtained by the data integration and preprocessing module; comprehensive performance indicators and intermediate weight data calculated by the comprehensive indicator evaluation module; the ranked price sequence and list of winning units generated by the market bidding and clearing module; and detailed cost calculation process data and final settlement results from the intelligent settlement and compensation module.

[0013] Preferably, the smart contract on the blockchain platform is configured to automatically trigger the clearing logic of the market bidding clearing module and the settlement calculation of the smart settlement and compensation module when a market clearing instruction and a settlement instruction that meet preset conditions are received.

[0014] Compared with existing technologies, the beneficial effects of this invention are as follows: 1. This invention employs a combined subjective and objective weighting method to calculate the comprehensive performance index of the generator set. This method not only incorporates subjective weights formed by domain experts' judgments on the importance of parameters such as adjustment frequency, response time, and adjustment accuracy, but also generates objective weights by analyzing the statistical correlation between parameter data sequences, ultimately merging them to obtain a comprehensive weight. This combined weighting method overcomes the one-sidedness of a single weighting method, ensuring that the evaluation results reflect both industry experience and objective data patterns, thereby enabling a more scientific and comprehensive quantification of the generator set's true frequency regulation capability.

[0015] 2. This invention derives the ranking price by dividing the unit's bid by its comprehensive performance indicators; its economic meaning is the cost per unit of frequency regulation performance. During the clearing process, units are selected from low to high ranking prices. This allows high-performance units, even with slightly higher bids, to potentially receive priority in winning bids due to their superior performance indicators and lower ranking prices.

[0016] 3. This invention uses a unified weighted average settlement price as a benchmark, and then combines this with the comprehensive performance indicators, actual power generation, and opportunity cost compensation of each winning unit to determine the final cost. This design directly links the unit's revenue to its performance; the better the performance, the higher the revenue, thereby greatly stimulating the unit's enthusiasm for improving frequency regulation service quality.

[0017] 4. This invention deeply integrates blockchain technology into market processes, achieving data trustworthiness and process automation. All key data, such as original operational data, performance indicators, clearing lists, and settlement details, are stored on the blockchain to ensure immutability and traceability. More importantly, the market clearing logic and settlement rules are encoded into smart contracts, which are automatically executed when conditions are met, completely eliminating the possibility of human intervention. Attached Figure Description

[0018] Figure 1 is a schematic diagram of the system structure of the present invention; Figure 2 is a schematic diagram of the method flow of the present invention. Detailed Implementation

[0019] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0020] To address the shortcomings of existing evaluation methods for generator frequency regulation quality, which rely on a single dimension and crude approach, failing to establish a comprehensive and scientific evaluation system that dynamically reflects the real-time frequency regulation performance of generators and fails to fully embody the market principle of "high quality, high price," please refer to Figures 1-2. This embodiment provides the following technical solution: a generator frequency regulation ancillary service market transaction and settlement system, including a data integration and preprocessing module. This module communicates with the power grid dispatch center and the electricity spot market system, and is used to obtain real-time operating data of generators from these systems, including but not limited to grid frequency deviation, set output power, actual output power, generator bids, and market node prices. Grid frequency deviation refers to the difference between the actual operating frequency of the power grid and the rated standard frequency. The magnitude of the grid frequency deviation determines whether frequency regulation is needed, and if regulation is required, the deviation value also determines... The power output is generated by the power grid dispatch center. The set output is the target active power value that the power grid dispatch center assigns to each generating unit, which is continuously adjusted according to changes in the power grid frequency. Actual output refers to the active power actually generated and fed into the power grid by the generating unit at a given moment. By comparing the set output and actual output, it is determined whether the generating unit has accurately executed the frequency regulation command, which is used to calculate the regulation accuracy. The market node price is the electricity trading price calculated in real time in the electricity spot market based on different nodes, i.e., geographical locations. The node price is used to assess and calculate opportunity cost compensation. When responding to frequency regulation commands, generating units may need to reduce or increase power generation, thus forgoing the opportunity to sell electricity at a higher price in the spot market or avoiding the opportunity to generate electricity at a higher cost. This lost benefit is obtained by comparing the node price and the unit's marginal cost; the higher the node price, the greater the opportunity cost.

[0021] The data integration and preprocessing module is also used to clean and standardize the acquired raw data to form a standardized and unified dataset, ensuring data quality and consistency.

[0022] The comprehensive index evaluation module, connected to the data integration and preprocessing module, receives processed data and extracts the unit's regulation frequency, response time, and regulation accuracy as three main evaluation parameters. Specifically, regulation frequency refers to the number of times a frequency regulation command is responded to per unit time, calculated by statistically analyzing the number of historical commands completed. Response time refers to the time delay from receiving the command to the generator set's output power starting to change. Regulation accuracy refers to the absolute percentage of the deviation between the actual output power and the set output power. To determine the weight of each parameter, the comprehensive index evaluation module uses a weighting method combining subjective and objective weights. The subjective weight determination steps are as follows: domain experts compare the importance of the three evaluation parameters pairwise based on experience to determine their order relationship. Then, experts assign values ​​to the importance ratios of adjacent parameters. Based on this order relationship and ratios, the sovereign weight coefficient of each parameter is calculated and inferred. The objective weight determination steps are as follows: the degree of mutual influence between parameters is measured by analyzing the correlation coefficient matrix between the data sequences of each evaluation parameter. The smaller the sum of the absolute values ​​of the correlation coefficients of a parameter with other parameters, the stronger its independence and the more independent the information it provides, thus assigning it a greater objective weight. The sovereign weight and objective weight are weighted and fused, using either an arithmetic mean or a ratio set according to preference, to obtain the comprehensive weight of each evaluation parameter. Based on the comprehensive weight and the processed parameter data of each unit, the comprehensive performance index of each unit is calculated through linear weighted summation. The market bidding clearing module, connected to the comprehensive index evaluation module, receives the comprehensive performance index and the unit's bid. It generates a ranking price based on the comprehensive performance index and bid, which is the unit's bid divided by its comprehensive performance index. The ranking price reflects the cost corresponding to unit frequency regulation performance; the lower the ranking price, the lower the unit performance cost. All units are ranked from low to high according to their ranking prices, forming a frequency regulation resource call sequence. Under the constraint of meeting the total real-time frequency regulation capacity requirement of the system, units are called sequentially from the top of the sequence until the requirement is met, thereby determining the list of winning units and the winning capacity.

[0023] This clearing mechanism allows high-performance units to obtain lower ranking prices even if they have higher bids, due to their superior performance indicators, thus giving them a greater advantage in winning bids and fully reflecting the market principle of "high quality, high price".

[0024] The intelligent settlement and compensation module, connected to the market bidding clearing module and the data integration and preprocessing module, is used to accurately settle the winning units. The settlement cost mainly consists of two parts, including frequency regulation cost and opportunity cost compensation.

[0025] Frequency regulation fees refer to the total compensation a generating unit receives for providing complete frequency regulation services. Opportunity cost compensation is used to compensate for the potential losses incurred by a generating unit due to deviations from its optimal power generation plan in response to frequency regulation commands. Its calculation formula is: Opportunity Cost Compensation = |Real-time Node Price - Unit Marginal Cost| × Adjusted Power Generation Due to Frequency Regulation Commands. The unit's marginal cost can be obtained from its price curve or historical data. The adjusted power generation due to frequency regulation commands refers to the portion of the generating unit's actual power generation that deviates from its original planned power generation in order to respond to the grid's frequency regulation commands. To ensure market fairness and avoid price discrimination... First, based on the bids and comprehensive performance indicators of all winning units, a unified weighted average settlement price is calculated. The formula for the weighted average settlement price is as follows: Weighted average settlement price = Σ(bid price of a single winning unit × comprehensive performance indicator of that unit) / Σ(comprehensive performance indicator of all winning units). Then, for each winning unit, the formula for its final settlement fee is as follows: Final settlement fee = unified weighted settlement price × comprehensive performance indicator of that unit × actual power output + opportunity cost compensation of that unit. In this way, the settlement method can directly link the performance of the unit with its revenue, significantly enhancing the enthusiasm of high-performance units to participate in the frequency regulation market.

[0026] The blockchain platform stores all process and result data generated by the data integration and preprocessing module, the market bidding and clearing module, and the smart settlement and compensation module. This includes key data such as the raw data acquired by the data integration and preprocessing module, the intermediate results of the comprehensive indicator evaluation module, the ranking and winning bid list of the market bidding and clearing module, and the detailed cost calculation process of the smart settlement and compensation module. All of this data is recorded in real time to ensure its immutability and traceability. The market clearing logic and settlement cost calculation rules are encoded into smart contracts and deployed on the blockchain. When preset conditions are met, the smart contracts will be automatically triggered and executed, eliminating the possibility of human intervention. This greatly improves market operation efficiency, effectively prevents the risk of human interference, and ensures the fairness of market operation.

[0027] The settlement method for the frequency regulation ancillary service market is as follows: Step 1: Obtain real-time operating data of the generating units participating in the frequency regulation market based on the power grid dispatching system, and calculate the comprehensive performance index characterizing their frequency regulation quality; The comprehensive performance index is determined in the following way: Select the unit's regulation frequency, response time, and regulation accuracy as evaluation parameters; Determine the subjective weight coefficient and objective weight coefficient of each evaluation parameter; Combine the subjective weight coefficient and objective weight coefficient to obtain the comprehensive weight of each evaluation parameter; Calculate the comprehensive performance index based on the comprehensive weight and the unit's real-time operating data.

[0028] Step 2: The receiving unit submits its bid in the frequency regulation market; Step 3: Based on the comprehensive performance indicators obtained in Step 1 and the bids obtained in Step 2, generate a ranking price for frequency regulation resources, i.e., divide the unit's bid by its comprehensive performance indicators to obtain the ranking price. Under the premise of meeting the system's frequency regulation requirements, complete market clearing based on the ranking price to determine the winning units and their winning capacities; Step 4: Calculate the settlement fees for each winning unit based on its comprehensive performance indicators, actual power output, and spot market electricity price information. The settlement fees include frequency regulation fees and opportunity cost compensation; Step 5: Output the settlement results.

[0029] In particular, the unit operation data, quotation data, spot market electricity price data, and settlement process data involved in steps one, two, and four are all recorded on the blockchain, and the market clearing logic in step three and the settlement fee calculation in step four are automatically executed using smart contracts.

[0030] Working Principle: The data integration and preprocessing module communicates with the power grid dispatch center and the electricity spot market system to acquire real-time unit operating data. This module cleans and standardizes the raw data to ensure quality and consistency. The processed data is then transmitted to the comprehensive performance evaluation module, which extracts the unit's regulation frequency, response time, and regulation accuracy as core evaluation parameters. The comprehensive performance evaluation module uses a combination of subjective and objective weighting to determine the weights of each parameter. After weight fusion, a linear weighted sum is used to obtain the comprehensive performance index for each unit. The market bidding and clearing module receives the comprehensive performance index and unit bids, calculates the ranking price, which reflects the unit frequency regulation performance cost. All units are ranked from lowest to highest price, forming a frequency regulation resource allocation sequence. Under the constraint of meeting the total system frequency regulation capacity demand, units are allocated from the top of the sequence to determine the winning bidders and their capacities. The intelligent settlement and compensation module is responsible for settling accounts with the winning units.

[0031] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.

[0032] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention.

Claims

1. A method for transaction settlement in the generator frequency regulation ancillary services market, characterized in that, Includes the following steps: S1. Obtain real-time operating data, price quotes, and market node electricity price data of generating units from the power grid dispatch center and the electricity spot market system, and clean and standardize the raw data. S2. Based on the processed data, extract the unit's regulation frequency, response time, and regulation accuracy as evaluation parameters. Use a subjective and objective weighting method to determine the comprehensive weight of each parameter, and calculate the comprehensive performance index of each unit through linear weighted summation. S3. Receive the price quotes from each unit, generate a ranking price based on the comprehensive performance index and the price quotes, and rank all units according to the ranking price from low to high, while meeting the following conditions... Under the premise of real-time frequency regulation of total demand capacity, the generating units are sequentially called to determine the winning generating units and winning capacity; S4, based on the quotations of all winning generating units and their comprehensive performance indicators, a unified weighted average settlement price is calculated; for each winning generating unit, the final settlement fee is calculated based on the unified price, its comprehensive performance indicators, actual power output, and its opportunity cost compensation; S5, the process data and result data generated in steps S1 to S4 are recorded on the blockchain platform, wherein the market clearing logic of step S3 and the settlement fee calculation rules of step S4 are encoded into smart contracts and deployed on the blockchain platform.

2. The method for transaction settlement in the generator frequency regulation ancillary service market according to claim 1, characterized in that, Regarding S2, the subjective and objective combined weighting method includes: the subjective weight determination steps are as follows: domain experts compare the importance of the three evaluation parameters—adjustment frequency, response time, and adjustment accuracy—pair by pairwise to determine the order relationship and assign importance ratios to adjacent parameters, and then calculate the sovereign weight coefficient of each parameter; the objective weight determination steps are as follows: calculate the correlation coefficient matrix between the data sequences of each evaluation parameter, assign objective weights according to the sum of the absolute values ​​of the correlation coefficients between the parameter and other parameters, the smaller the sum of the absolute values, the greater the weight; and then weight and fuse the calculated sovereign weight coefficients and objective weight coefficients to obtain the comprehensive weight of each evaluation parameter.

3. The method for transaction settlement in the generator frequency regulation ancillary service market according to claim 1, characterized in that, Regarding S3, the ranking price is calculated using the following formula: Ranking price = Unit price / Unit's overall performance index.

4. The method for transaction settlement in the generator frequency regulation ancillary service market according to claim 1, characterized in that, Regarding S4, the uniform weighted average settlement price is calculated using the following formula: Weighted average settlement price = Σ (the price of a single winning unit × the comprehensive performance index of that unit) / Σ (the comprehensive performance index of all winning units).

5. The method for transaction settlement in the generator frequency regulation ancillary service market according to claim 1, characterized in that, Regarding S4, the opportunity cost compensation is calculated using the following formula: Opportunity Cost Compensation = |Real-time Node Price - Unit Marginal Cost| × Power Generation Adjusted Due to Frequency Regulation Command; The final settlement fee is calculated using the following formula: Final Settlement Fee = Uniform Weighted Average Settlement Price × Comprehensive Performance Index of the Unit × Actual Power Output + Opportunity Cost Compensation of the Unit.

6. The method for transaction settlement in the generator frequency regulation ancillary service market according to claim 1, characterized in that, Regarding S1, the real-time operating data includes grid frequency deviation, set output power, and actual output power; the set output power is generated by the grid dispatch center based on the grid frequency deviation.

7. A unit frequency regulation ancillary service market transaction settlement system, used to implement the unit frequency regulation ancillary service market transaction settlement method according to any one of claims 1-6, characterized in that, include: The data integration and preprocessing module is configured to acquire data from the power grid dispatch center and the electricity spot market system and perform cleaning and standardization processing. The comprehensive performance evaluation module, connected to the data integration and preprocessing module, is configured to calculate the comprehensive performance indicators of each unit; the market bidding and clearing module, connected to the comprehensive performance evaluation module, is configured to clear the market based on the comprehensive performance indicators and the bid price; the intelligent settlement and compensation module, connected to the market bidding and clearing module and the data integration and preprocessing module, is configured to calculate the final settlement cost of the winning unit. The blockchain platform connects to the data integration and preprocessing module, the market bidding clearing module, and the smart settlement and compensation module, and is configured to store data and deploy and execute smart contracts.

8. A generator frequency regulation ancillary service market transaction and settlement system according to claim 7, characterized in that, The data integration and preprocessing module is configured to: communicate with the power grid dispatch center to obtain power grid frequency deviation, set output power and actual output power; and communicate with the electricity spot market system to obtain market node electricity price and unit quotation data.

9. A generator frequency regulation ancillary service market transaction and settlement system according to claim 7, characterized in that, The data stored on the blockchain platform includes: raw and processed data obtained by the data integration and preprocessing module; comprehensive performance indicators and intermediate weight data calculated by the comprehensive indicator evaluation module; ranked price sequences and winning unit lists generated by the market bidding and clearing module; and detailed cost calculation process data and final settlement results from the intelligent settlement and compensation module.

10. A generator frequency regulation ancillary service market transaction and settlement system according to claim 7, characterized in that, The smart contract on the blockchain platform is configured to automatically trigger the clearing logic of the market bidding clearing module and the settlement calculation of the smart settlement and compensation module when a market clearing instruction and a settlement instruction that meet preset conditions are received.

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