A method for market force risk prevention and related device

Abstract

This application pertains to a method for limiting bidding ranges. Addressing the technical problem of existing market power suppression methods lacking a pre-emptive constraint mechanism to dynamically adjust the bidding range based on the size of market participants during the bidding stage, this application provides a method and related apparatus for limiting bidding ranges to mitigate market power risk. The method determines the upper limit of the bidding range length based on the declared electricity volume, ensuring an inverse relationship between the declared electricity volume and the upper limit of the bidding range length. This pre-emptively constrains the wide-range bidding behavior of market participants with high bidding volumes during the bidding stage. By compressing bidding ranges exceeding the upper limit, the compressed bidding range meets the length requirement matching the declared volume. Electricity market clearing calculations are then performed based on the declared electricity volume of each market participant and the compressed bidding range, reducing the possibility of high-market-share participants influencing the market clearing results through wide-range bidding, thereby improving the stability, fairness, and reliability of the electricity market clearing results.

Description

Technical Field

[0001] This application pertains to a method for limiting a price range, specifically a method and related apparatus for limiting a price range to mitigate market power risk. Background Technology

[0002] With the advancement of electricity market reforms, electricity price volatility has increased, leading to a pricing dilemma for market participants. Range-based pricing can alleviate this dilemma, allowing market participants to submit upper and lower limits to reflect the uncertainty and flexibility in transactions. However, some market participants with large bid volumes may increase their strategic space by widening the bidding range and gain undue benefits during market clearing, exhibiting market power behavior. Existing methods for suppressing market power largely rely on ex-post supervision or punishment mechanisms, meaning that intervention is carried out after market transactions are completed or abnormal behavior occurs, through regulatory analysis, penalties, or corrective measures.

[0003] However, the above methods lack effective means of imposing pre-emptive constraints at the bidding stage, especially lacking a mechanism that can dynamically adjust the bidding range based on the size of market participants. This makes it difficult to reduce the risk from the outset that large-capacity market participants may influence the market clearing outcome through wide-range bidding. Summary of the Invention

[0004] This application addresses the technical problem that existing market power suppression methods lack a pre-constraint mechanism that dynamically adjusts the price range based on the size of market participants during the bidding stage, and provides a price range restriction method and related apparatus for market power risk prevention.

[0005] To achieve the above objectives, this application adopts the following technical solution: Firstly, this application proposes a method for limiting price ranges to mitigate market power risk, including: Obtain the declared electricity volume and price range of each market participant; The reference declared electricity volume is determined based on the declared electricity volume, and the declared electricity volume of each market entity is normalized based on the reference declared electricity volume to obtain the corresponding normalized electricity volume; Based on the normalized electricity volume and the preset mapping relationship, the upper limit of the bidding range length for the corresponding market entity is determined; wherein, the preset mapping relationship makes the declared electricity volume inversely proportional to the corresponding upper limit of the bidding range length. The price ranges of each market participant are compressed one by one. Specifically, the length of the price range is compared with the upper limit of the corresponding price range length. When the length of the range is greater than the upper limit of the corresponding price range length, the price range is compressed so that the length of the compressed price range is less than or equal to the upper limit of the corresponding price range length. The electricity market clearing calculation is performed based on the declared electricity volume of each market participant and the compressed price range.

[0006] Furthermore, the reference declared electricity volume is the maximum value or a preset percentile value among all declared electricity volumes of all market entities.

[0007] Furthermore, the normalization process for the declared electricity volumes of each market participant includes: The ratio of the declared electricity volume of market entities to the reference declared electricity volume is used as the normalized electricity volume.

[0008] Furthermore, the preset mapping relationship uses an exponential mapping function to calculate the upper limit of the price range length.

[0009] Furthermore, the exponential mapping function is:

[0010] in, For the first The upper limit of the price range length for each market participant. This represents the maximum length of the price range. This represents the minimum length of the price range. To adjust the parameters, For the first Normalized electricity volume of each market entity.

[0011] Furthermore, the compression of the price ranges for each market participant includes:

[0012]

[0013]

[0014] in, For the first The upper limit of the price range length for each market participant. For the first The center of the price range for each market participant. For the first The lower limit of the compressed price range for each market participant For the first The upper limit of the compressed price range for each market participant For the first The original lower limit of the price range for each market participant For the first The original upper limit of the price range for each market participant.

[0015] Secondly, this application proposes a price range restriction system for market power risk prevention, comprising: The data module is used to obtain the declared electricity volume and price range of each market participant; The normalization module is used to determine the reference declared electricity volume based on the declared electricity volume, and to normalize the declared electricity volume of each market entity based on the reference declared electricity volume to obtain the corresponding normalized electricity volume; The upper limit of length module is used to determine the upper limit of the bidding range length for the corresponding market entity based on the normalized electricity volume and the preset mapping relationship; wherein, the preset mapping relationship makes the declared electricity volume inversely proportional to the upper limit of the corresponding bidding range length. The comparison module is used to compress the price range of each market participant one by one. Specifically, it compares the length of the price range with the upper limit of the corresponding price range length. When the length of the range is greater than the upper limit of the corresponding price range length, it compresses the price range so that the length of the compressed price range is less than or equal to the upper limit of the corresponding price range length. The clearing module is used to calculate the electricity market clearing based on the declared electricity volume of each market participant and the compressed price range.

[0016] Thirdly, this application proposes an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor, when executing the computer program, implements the steps of the above-described method for limiting the price range for market power risk prevention.

[0017] Fourthly, this application proposes a computer-readable storage medium storing a computer program, characterized in that, when the computer program is executed by a processor, it implements the steps of the above-mentioned method for limiting the price range for market power risk prevention.

[0018] Compared with the prior art, this application has the following beneficial effects: This application proposes a method for limiting bid ranges to mitigate market power risk. By acquiring the declared electricity volumes of each market participant and normalizing them based on a reference volume, it ensures that bid volumes of different transaction sizes can participate in bid range limit calculations on a uniform scale, improving the adaptability and comparability of bid range constraint rules across different market operating scenarios. Simultaneously, this application determines the upper limit of the bid range length for each market participant based on the normalized electricity volume and a pre-defined mapping relationship, ensuring an inverse proportional relationship between the declared electricity volume and the corresponding upper limit of the bid range length. This results in market participants with larger declared electricity volumes having smaller allowed bid range lengths. Market participants with large declared electricity volumes are often large power generation groups or large power users. Compared to market participants with smaller declared volumes, they possess higher bidding expertise but are also more prone to abusing market power by declaring large ranges to gain undue benefits. Therefore, before the bids enter the market clearing calculation, a pre-constraint is established on the wide-range bidding behavior of market participants with large declared volumes, reducing the possibility of them influencing market price formation and market clearing results by expanding their bid ranges. Furthermore, this application compares the length of the bidding interval with the corresponding upper limit of the bidding interval length. Bidding intervals exceeding the upper limit are compressed so that the compressed bidding interval length is less than or equal to the corresponding upper limit of the bidding interval length. Bidding intervals not exceeding the upper limit do not need to be narrowed and can be used as the compressed bidding intervals for subsequent clearing calculations. This ensures that all bidding intervals entering the electricity market clearing calculations meet the length constraint requirements matching the declared scale of market participants. Thus, without changing the basic process of market participants participating in bidding and market clearing, it achieves automatic identification and correction of abnormally wide bidding intervals. This solves the problem that existing market power suppression methods lack a pre-constraint mechanism for dynamically adjusting the bidding interval range based on the scale of market participants during the bidding stage. It reduces the risk that high market share participants will use wide-interval bidding to affect the market clearing results and improves the stability, fairness, and reliability of the electricity market clearing results.

[0019] This application also proposes a price range limiting system for market power risk prevention, an electronic device, and a computer-readable storage medium, which possess the advantages of the aforementioned price range limiting methods for market power risk prevention. Attached Figure Description

[0020] To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of this application and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0021] Figure 1This is a flowchart illustrating a pricing range restriction method used in this application for market power risk prevention. Figure 2 This is a schematic diagram of a price range restriction system used in this application for market power risk prevention. Detailed Implementation

[0022] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. The components of the embodiments of this application described and shown in the accompanying drawings can generally be arranged and designed in various different configurations.

[0023] Therefore, the following detailed description of the embodiments of this application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely to illustrate selected embodiments of the application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without inventive effort are within the scope of protection of this application.

[0024] The ongoing reform of the power market has gradually transformed power generation companies, electricity retailers, and electricity users from passive participants under traditional planned dispatch to market participants who can independently declare their trading intentions based on costs, supply and demand expectations, and risk appetite. In this process, the bidding method directly affects the market clearing outcome and the quality of price formation. Traditional single-point bidding involves market participants submitting only a fixed price for a certain amount of electricity. While relatively simple, it fails to reflect the risks arising from factors such as fluctuations in renewable energy output, load forecasting deviations, fuel cost changes, and market price uncertainties. The range-based bidding mechanism, on the other hand, allows market participants to submit a lower and upper price limit, expressing their acceptable trading conditions through a price range. The lower limit typically represents the lower price boundary at which market participants are willing to transact, while the upper limit represents the higher price boundary they can accept or expect to transact at. This mechanism provides market participants with more flexible bidding space, particularly suitable for power trading scenarios with large supply and demand fluctuations and high price uncertainty. It helps to increase the enthusiasm of market participants to participate in trading and makes trading declarations closer to their true operating intentions.

[0025] However, while range-based bidding increases the flexibility of bidding, it may also create new opportunities for strategic behavior. In actual market operations, different market participants possess varying generating capacities, electricity demands, or transaction volumes. Entities with larger bid volumes often have a stronger influence on the market clearing outcome. Under the range-based bidding mechanism, some large-capacity participants may not simply submit bid ranges based on cost and risk, but rather artificially widen the gap between the upper and lower limits of their bids, allowing them to retain significant room for adjustment and negotiation at different price levels. When the bid volume of such participants accounts for a high proportion of the market supply and demand balance, their bid ranges may significantly influence the formation of the clearing price, causing market prices to deviate from the true supply and demand relationship and reasonable cost levels. This not only weakens the guiding role of market price signals in power generation investment, electricity consumption arrangements, and resource allocation, but may also put small and medium-sized participants at a disadvantage in trading competition, affecting market fairness and overall resource allocation efficiency.

[0026] To address the issue of market participants abusing market power, existing electricity market rules and regulatory measures typically focus on ex-post identification, monitoring, and punishment. For example, market operators can analyze transaction data to identify abnormal bids, transactions, or price fluctuations, and after the transaction ends, they can conduct interviews, issue warnings, recover profits, deduct credit points, or impose administrative penalties on the relevant participants. Some markets also use methods such as bid behavior monitoring, cost verification, and market concentration analysis to help determine whether participants are making unreasonable bids. Market concentration is usually used to measure whether resources or trading shares in the market are excessively concentrated; the higher the concentration, the stronger the ability of a few participants to influence market prices. These ex-post regulatory mechanisms can deter obvious violations to some extent and help maintain market order, but their effect often occurs after bid submission and market clearing, and is more about correcting outcomes or holding participants accountable. For behaviors such as expanding the bid range to gain strategic space in the context of range bidding, relying solely on ex-post regulation usually requires a comprehensive judgment based on transaction results, price changes, and participant behavior after the market has finished operating, resulting in high identification costs and relatively delayed responses.

[0027] Therefore, current technology still lacks a pre-emptive control mechanism that can exert a binding effect at the bid submission stage. Especially for market participants with large declared electricity volumes, allowing them to use the same bid range width as smaller participants could lead to them leveraging their scale advantage to amplify the strategic space brought by range bidding, increasing market power risk from the outset. Existing methods typically fail to fully establish a linkage between the declared electricity volume and the allowed bid range, i.e., they fail to dynamically adjust the bid range width according to the size of the declared capacity of market participants, ensuring that large-capacity participants bear bid constraints commensurate with their market influence. Even if market rules formally allow all participants to bid fairly, in practice, large-capacity participants may still influence the clearing outcome by using wide bid ranges. Therefore, under a range bidding mechanism, how to differentiate and dynamically restrict the bid range based on the declared volume of market participants without weakening normal trading flexibility, reducing the strategic manipulation space of large-capacity participants, and preventing market power behavior in advance at the bidding stage are important issues that the existing electricity market trading mechanism still needs to address.

[0028] Based on the above, this application proposes a method and related apparatus for limiting price ranges to prevent market power risks. The following is a detailed description of this application in conjunction with embodiments and accompanying drawings.

[0029] like Figure 1 The diagram illustrates a flowchart of a bidding range restriction method for market power risk prevention proposed in this application. This method can be applied to electricity market trading scenarios employing a range-based bidding mechanism. Market participants submit their declared electricity volume and bidding range when participating in market transactions. Before entering the market clearing calculation, the market operating system first restricts the length of the bidding range based on the declared electricity volume of each market participant. This imposes a stronger constraint on the available bidding range length for market participants with larger declared electricity volumes, thereby forming a pre-emptive risk prevention mechanism during the bidding stage. Specifically, this may include: S101, obtain the declared electricity volume and price range of each market participant.

[0030] The declared electricity volume reflects the scale of market participants' involvement in this transaction, while the price range reflects the price range submitted by market participants in this transaction. The market operation system can read the declared electricity volume from the price declaration data, transaction declaration data, or transaction files submitted by market participants, and associate the declared electricity volume with the corresponding market participants for storage.

[0031] S102, determine the reference declared electricity volume based on the declared electricity volume, and normalize the declared electricity volume of each market entity based on the reference declared electricity volume to obtain the corresponding normalized electricity volume.

[0032] Through normalization, the declared electricity volumes of different transaction sizes, market batches, or operating environments are converted into a unified scale, which facilitates the subsequent determination of the upper limit of the price range length according to unified rules.

[0033] S103, based on the normalized electricity and the preset mapping relationship, determine the upper limit of the price range length for the corresponding market entity.

[0034] It should be noted that this preset mapping relationship creates an inverse relationship between the declared electricity volume and the corresponding upper limit of the price range length. That is, the larger the declared electricity volume of a market participant, the smaller the upper limit of the allowed price range length. Conversely, the smaller the declared electricity volume of a market participant, the larger the upper limit of the allowed price range length. This setting prevents market participants with large declared volumes from expanding their price influence by submitting excessively wide price ranges, thereby reducing the likelihood of them using wide price ranges to influence market price formation during market clearing.

[0035] S104, compress the price ranges of each market participant one by one.

[0036] Specifically, the market operation system calculates the length of each market participant's bid range and compares it with the corresponding upper limit of the bid range length. When the range length exceeds the upper limit, it indicates that the bid range exceeds the allowable range corresponding to the declared electricity volume. The market operation system then compresses the bid range so that the compressed bid range length is less than or equal to the upper limit of the bid range length. When the range length is not greater than the upper limit of the bid range length, the bid range does not need to be narrowed and can be used as the compressed bid range for subsequent calculations.

[0037] S105 calculates the electricity market clearing based on the declared electricity volume of each market participant and the compressed price range.

[0038] After the above processing, the market operation system uses the declared electricity volume of each market participant and the compressed bid range for electricity market clearing calculations. Therefore, without changing the basic declaration mechanism for market participants, this application adds a bid range length limit related to the declared electricity volume before the bids enter the clearing calculation. This dynamically constrains the bidding strategy space of large-volume bidders, solving the problem that existing market power suppression methods lack a pre-constraint mechanism to dynamically adjust the bid range based on the size of market participants during the bidding stage. Furthermore, it helps improve the stability, fairness, and reliability of electricity market clearing results.

[0039] The present application will be further described in detail below through some more detailed embodiments.

[0040] This application's method for limiting price ranges to mitigate market power risk is applied to the medium- and long-term electricity price range market. Market participants on the power purchase side participate by submitting power purchase price ranges and declared power purchase volumes, while market participants on the power sales side participate by submitting power sales price ranges and declared power sales volumes. The market operator clears the market based on the price range information submitted by both buyers and sellers. Under the price range mechanism, the price ranges submitted by market participants reflect their uncertainty and pricing flexibility. However, some market participants with large declared volumes may increase their strategic space by widening the price range, thereby influencing price formation and obtaining undue profits during market clearing. Therefore, this application dynamically limits the length of the price range before market clearing calculations, based on the mapping relationship between the declared power volume and the length of the price range.

[0041] Specifically, the market operation system first obtains the declared electricity volume from each market participant. . Indicates the first The electricity volume declared by each market participant in the current transaction. Market participants can be either electricity purchasers or electricity sellers; in specific applications, price range restrictions can be imposed only on electricity purchasers, or, according to market rules, on electricity sellers or both buyers and sellers simultaneously. The example in the disclosure document uses electricity purchasers as the restricted entity, representing an optional application method.

[0042] In obtaining the declared electricity volume of each market entity Subsequently, the market operation system determines the reference declared electricity volume. The reference declared electricity volume can be selected as the maximum value among all declared electricity volumes from all market participants, or it can be selected as a preset percentile. Using the maximum value as the reference declared electricity volume ensures that the normalized electricity volume corresponding to the market participant with the largest declared electricity volume in the current market batch reaches a unified benchmark. Using a preset percentile as the reference declared electricity volume reduces the impact of extreme abnormal declared electricity volumes on the normalization results, making the price range restriction rules smoother.

[0043] In some embodiments of this application, the normalized electricity of market participants Calculate as follows:

[0044] In the formula, For reference, the declared electricity volume For the first The declared electricity volume of each market entity For the first The normalized electricity volume of each market entity. This is achieved by normalizing the electricity volume declared by each market entity. Compared with the reference declared electricity By performing ratio processing, we can obtain the normalized electricity volume corresponding to the relative size of market participants. The normalized electricity volume is used to subsequently determine the upper limit of the bidding range length, ensuring that the bidding range restriction rules remain consistent across different market sizes.

[0045] Furthermore, the market operation system is based on normalized electricity. Determine the first and preset mapping relationship Upper limit of the price range length for individual market participants The preset mapping relationship is monotonically decreasing, meaning that the larger the declared electricity volume and the larger the normalized electricity volume, the smaller the upper limit of the corresponding price range length. Through this mapping relationship, the price range length of market participants with large declaration volumes is compressed to a smaller range, while market participants with small declaration volumes retain relatively greater pricing flexibility, thus constraining market power risk while taking into account normal trading behavior.

[0046] In one embodiment of this application, the preset mapping relationship adopts an exponential mapping function, with an upper limit on the length of the quotation interval. Calculate using the following formula:

[0047] In the formula, For the first The upper limit of the price range length for each market participant. This represents the maximum length of the price range. This represents the minimum length of the price range. To adjust the parameters, For the first Normalized electricity volume of each market entity. Used to limit the maximum possible range of length for a price quote interval. The minimum acceptable range used to limit the upper limit of the price range length. Used to control the decay rate of the price range length as the declared electricity volume changes, and . The larger the value, the faster the upper limit of the price range decreases as the normalized electricity value increases; The smaller the value, the flatter the curve of the upper limit of the price range length as a function of normalized electricity. It can be used to calculate the length of the price range.

[0048] Optionally, the market operation system obtains the result through an exponential mapping function. After that, you can also... Perform boundary constraint processing to ensure that it satisfies:

[0049] By implementing the boundary constraint processing described above, we can prevent the upper limit of the price range from exceeding the preset range due to parameter configuration errors, data anomalies, or calculation errors. After boundary constraint processing, Not less than and not greater than This ensures the stability of the pricing range restriction rules during project implementation.

[0050] In one embodiment of this application, the exponential mapping function is in a piecewise form. When the market participant's declared electricity volume... When the price range is less than or equal to a preset threshold, the market operation system calculates the upper limit of the price range length based on an exponential mapping function. When market entities declare electricity volume When the price exceeds a preset threshold, the market operation system will adjust the corresponding price range length limit. Determined as the minimum value of the price range length This segmented processing method allows for stronger constraints on the bidding range for market participants exceeding a preset size, preventing those with high bidding volumes from further expanding their influence on the market clearing price by widening the bidding range.

[0051] Optionally, the market operation system can also adjust based on historical market operation data. , and Dynamic adjustments can be made. Historical data can include the distribution of declared electricity volume, the distribution of price range lengths, transaction price fluctuations, the transaction volume of market participants, and the results of market power risk monitoring in historical transaction batches. The market operation system can be adjusted based on historical market performance. and The range of values, and adjust The attenuation intensity allows the price range restriction rules to adapt to the risk prevention needs of different operating stages, different trading instruments, or different market sizes.

[0052] Optionally, the market operation system can also set the upper limit of the price range length based on the proportion of the electricity declared by market participants to the total declared electricity. Make corrections. For example, when the first... When a market entity's declared electricity volume accounts for a high proportion of the total declared electricity volume, the upper limit of its bid range length can be further reduced based on the calculation result of the exponential mapping function; when its declared electricity volume accounts for a low proportion, the original calculation result can be maintained or a weaker correction can be adopted. This correction method is used to incorporate both the absolute declared scale and relative market share of market entities into the bid range restriction logic, further improving the targeted nature of market power risk prevention.

[0053] After obtaining the upper limit of the price range length Subsequently, the electricity market trading system called the first Price range submitted by individual market participants And calculate the length of its price range. :

[0054] In the formula, For the first The original lower limit of the price range for each market participant For the first The original upper limit of the price range for each market participant. For the first The length of the original price range submitted by each market participant. The market operation system will... and Comparison. When In this case, the price range of the market participant does not need to be narrowed and can be used as a compressed price range for subsequent clearing calculations; when At that time, the market operation system compresses the original price range so that the length of the compressed price range does not exceed [the specified value]. .

[0055] In one embodiment of this application, the compression process is performed while maintaining the center of the price range unchanged, specifically including:

[0056]

[0057]

[0058] In the formula, For the first The center of the price range for each market participant. For the first The lower limit of the compressed price range for each market participant For the first The upper limit of the compressed price range for each market participant For the first The original lower limit of the price range for each market participant For the first The original upper limit of the price range for each market participant. When using this compression method, the center of the price range... By keeping the original price range unchanged, the center position of the original price range is preserved, while the compression process mainly reduces the width of the price range expanding upwards and downwards. Thus, while restricting abnormally wide price ranges, the original pricing intentions of market participants are preserved as much as possible, minimizing the impact on normal market trading activities.

[0059] After completing the retention or compression of the bidding range, the market operation system uses the bidding ranges that meet the constraints for electricity market clearing calculations. For market participants whose bidding range length does not exceed the upper limit, the market operation system uses their original bidding range for clearing; for market participants whose bidding range length exceeds the upper limit, the market operation system uses the compressed bidding range for clearing. Since market participants with larger declared electricity volumes correspond to smaller upper limits for bidding range length, their wide-range bidding has a suppressive effect on expanding the price crossover area, thus reducing the possibility of them influencing market price formation through wide bidding ranges.

[0060] The following is an application example of this application, which applies the price range restriction method to the medium- and long-term electricity price range market, with the electricity purchasers as the objects of the price range restriction. The electricity purchasers submit their electricity purchase price ranges and declared electricity volumes, while the electricity sellers submit their electricity sales price ranges and declared electricity sales volumes. The market operator conducts market clearing based on the price range information submitted by both buyers and sellers.

[0061] The original electricity purchaser's quotation information is shown in Table 1 below: Table 1 Original Electricity Purchaser Quotation Information

[0062] The electricity sales price information is shown in Table 2 below: Table 2 Electricity seller quotation information

[0063] In this application example, only the range is restricted for the electricity purchaser, and the maximum declared electricity volume among the purchasers is selected as the reference declared electricity volume:

[0064] The normalization process uses the following formula:

[0065] The calculated normalized charge is shown in Table 3 below: Table 3. Calculation results of normalized energy levels

[0066] Subsequently, an exponential mapping function was used to calculate the upper limit of the bid range length for each electricity purchaser:

[0067] In this application example, the parameter values ​​are:

[0068]

[0069]

[0070] The calculated upper limit of the price range length is shown in Table 4 below: Table 4 Calculation Results of the Upper Limit of Bidding Range Length

[0071] The results above show that the larger the declared electricity volume of a power purchaser, the smaller the allowable bid range length. Power purchaser b2 declared 200 MWh, which is the maximum declared electricity volume in this application example. Its original bid range length was 60, while the calculated upper limit of the range length was 25.4. Therefore, its bid range needs to be significantly compressed.

[0072] In this application example, the bid ranges of electricity purchasers exceeding the allowed length are compressed by keeping the center of the range unchanged. The new bid ranges of electricity purchasers are shown in Table 5 below: Table 5: Calculation Results of New Bid Ranges for Electricity Purchasers

[0073] During the initial data clearing process, the set of electricity purchaser bid price ranges is as follows: [300,310],[310,320],[320,330],[330,340],[340,360],[360,380] The seller's price range is as follows: [310,320],[320,330],[330,360],[360,370],[370,390] The results of the original data clearing are shown in Table 6 below: Table 6. Results of raw data clearing

[0074] During the constraint data clearing process after applying price range restrictions, the set of electricity purchaser price ranges is as follows: [310.5,317.3],[317.3,325.95],[325.95,339],[339,339.45],[339.45,342.7],[342.7,354.05],[354.05,371] The seller's price range is as follows: [310,320],[320,330],[330,360],[360,370],[370,390] The results of constraint data clearing are shown in Table 7 below: Table 7 Constraint Data Clearing Results

[0075] The lengths of the price ranges were compared between the original method and the method adopted in this application, and the results are shown in Table 8 below: Table 8 Comparison of the price range lengths of the original method and the method of this application

[0076] As can be seen from the above comparison, the length of the bidding range for the high-declaration-electricity entity b2 has been reduced from 60 to 25.4, effectively restricting the wide-range bidding behavior.

[0077] The clearing prices were compared between the original method and the method adopted in this application, and the results are shown in Table 9: Table 9. Comparison of Clearing Prices

[0078] The comparison of clearing prices shows that, after adopting the method of this application, the fluctuation range of market clearing prices is reduced, and the price distribution is more concentrated. In the original method, high-volume electricity purchasers have a wide bidding range, with a large price coverage area, which easily expands the price overlap area, thereby enhancing their influence on the market clearing price. After adopting the method of this application, the bidding range of high-volume electricity purchasers is compressed, and their price influence range is significantly reduced, thereby reducing the possibility of them influencing market price formation through wide-range bidding. Based on the above application examples and comparison results, this application establishes a dynamic correlation between the electricity volume declared by the purchaser and the length of the bidding range, and adaptively compresses the bidding range of high-volume market participants. While ensuring the normal trading capacity and transaction continuity of the market, it can reduce the problem of price coverage expansion caused by wide-range bidding behavior, and reduce the possibility of high-market-share participants influencing the market clearing result through wide-range bidding.

[0079] like Figure 2 The diagram shown is a schematic representation of a price range restriction system for market power risk prevention, which may include: The data module is used to obtain the declared electricity volume and price range of each market participant; The normalization module is used to determine the reference declared electricity volume based on the declared electricity volume, and to normalize the declared electricity volume of each market entity based on the reference declared electricity volume to obtain the corresponding normalized electricity volume; The upper limit of length module is used to determine the upper limit of the bidding range length for the corresponding market entity based on the normalized electricity volume and the preset mapping relationship; wherein, the preset mapping relationship makes the declared electricity volume inversely proportional to the upper limit of the corresponding bidding range length. The comparison module is used to compress the price range of each market participant one by one. Specifically, it compares the length of the price range with the upper limit of the corresponding price range length. When the length of the range is greater than the upper limit of the corresponding price range length, it compresses the price range so that the length of the compressed price range is less than or equal to the upper limit of the corresponding price range length. The clearing module is used to calculate the electricity market clearing based on the declared electricity volume of each market participant and the compressed price range.

[0080] It should be noted that, in the several embodiments provided in this application, it should be understood that the disclosed apparatus and methods can be implemented in other ways. For example, the system embodiments described above are merely illustrative; for instance, the division of each block is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple blocks may be combined or integrated into another device, or some features may be ignored or not executed. The modules described as separate components may or may not be physically separated. The components shown as modules may be one or more physical units, that is, they may be located in one place or distributed in multiple different places. Some or all of the modules can be selected to achieve the purpose of the solution in this embodiment according to actual needs.

[0081] Furthermore, the modules in the various embodiments of this application can be integrated into one processing unit, or each module can exist physically separately, or two or more modules can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0082] This application also provides an electronic device, which may include one or more processors, memory and communication interfaces.

[0083] The memory, communication interface, and processor are coupled together. For example, the memory, communication interface, and processor can be coupled together via a bus.

[0084] The communication interface is used for data transmission with other devices. The memory stores computer program code. This computer program code includes computer instructions, which, when executed by the processor, cause the electronic device to perform the steps of the aforementioned price range restriction method for mitigating market power risk.

[0085] The processor can be a processor or controller, such as a Central Processing Unit (CPU), a general-purpose processor, a Digital Signal Processor (DSP), an Application-Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA), or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof. It can implement or execute the various exemplary logic blocks, modules, and circuits described in conjunction with this disclosure. The processor can also be a combination that implements computational functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, etc. The processor can be used to support an electronic device in performing the method steps provided in the above embodiments.

[0086] The bus can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. These buses can be categorized as address buses, data buses, control buses, etc.

[0087] This application provides a computer-readable storage medium storing a computer program. When the computer program is executed by a processor, it implements the steps of the above-described method for limiting the price range for market power risk prevention.

[0088] The computer-readable storage media involved in this application include random access memory (RAM), memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disks, removable disks, CD-ROMs, or any other form of storage media known in the art.

[0089] The above are merely preferred embodiments of this application and are not intended to limit this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the protection scope of this application.

Claims

1. A method for limiting price ranges for market power risk prevention, characterized in that, include: Obtain the declared electricity volume and price range of each market participant; The reference declared electricity volume is determined based on the declared electricity volume, and the declared electricity volume of each market entity is normalized based on the reference declared electricity volume to obtain the corresponding normalized electricity volume; Based on the normalized electricity volume and the preset mapping relationship, the upper limit of the bidding range length for the corresponding market entity is determined; wherein, the preset mapping relationship makes the declared electricity volume inversely proportional to the corresponding upper limit of the bidding range length. The price ranges of each market participant are compressed one by one. Specifically, the length of the price range is compared with the upper limit of the corresponding price range length. When the length of the range is greater than the upper limit of the corresponding price range length, the price range is compressed so that the length of the compressed price range is less than or equal to the upper limit of the corresponding price range length. The electricity market clearing calculation is performed based on the declared electricity volume of each market participant and the compressed price range.

2. The method for limiting price ranges for market power risk prevention according to claim 1, characterized in that, The reference declared electricity volume is the maximum value or a preset percentile value among all declared electricity volumes of all market entities.

3. The method for limiting price ranges for market power risk prevention according to claim 1, characterized in that, The normalization process for the declared electricity volumes of each market participant includes: The ratio of the declared electricity volume of market entities to the reference declared electricity volume is used as the normalized electricity volume.

4. The method for limiting price ranges for market power risk prevention according to claim 1, characterized in that, The preset mapping relationship uses an exponential mapping function to calculate the upper limit of the price range length.

5. The method for limiting price ranges for market power risk prevention according to claim 4, characterized in that, The exponential mapping function is: in, For the first The upper limit of the price range length for each market participant. This represents the maximum length of the price range. This represents the minimum length of the price range. To adjust the parameters, For the first Normalized electricity volume of each market entity.

6. The method for limiting price ranges for market power risk prevention according to claim 1, characterized in that, The compression of the price ranges for each market participant includes: in, For the first The upper limit of the price range length for each market participant. For the first The center of the price range for each market participant. For the first The lower limit of the compressed price range for each market participant For the first The upper limit of the compressed price range for each market participant For the first The original lower limit of the price range for each market participant For the first The original upper limit of the price range for each market participant.

7. A price range restriction system for market power risk prevention, characterized in that, include: The data module is used to obtain the declared electricity volume and price range of each market participant; The normalization module is used to determine the reference declared electricity volume based on the declared electricity volume, and to normalize the declared electricity volume of each market entity based on the reference declared electricity volume to obtain the corresponding normalized electricity volume; The upper limit of length module is used to determine the upper limit of the bidding range length for the corresponding market entity based on the normalized electricity volume and the preset mapping relationship; wherein, the preset mapping relationship makes the declared electricity volume inversely proportional to the upper limit of the corresponding bidding range length. The comparison module is used to compress the price range of each market participant one by one. Specifically, it compares the length of the price range with the upper limit of the corresponding price range length. When the length of the range is greater than the upper limit of the corresponding price range length, it compresses the price range so that the length of the compressed price range is less than or equal to the upper limit of the corresponding price range length. The clearing module is used to calculate the electricity market clearing based on the declared electricity volume of each market participant and the compressed price range.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the pricing range restriction method for market power risk prevention as described in any one of claims 1-6.

9. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the pricing range restriction method for market power risk prevention as described in any one of claims 1-6.

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