Electric power spot market price rationality determination method and related device

Abstract

The invention discloses an electric power spot market price rationality determination method and a related device. The method comprises the steps of obtaining operation data of an electric power system; constructing a cost rationality price interval, a historical rationality price interval and a dynamic scene rationality interval according to the operation data of the power system, and determining a final price rationality judgment interval according to the cost rationality price interval, the historical rationality price interval and the dynamic scene rationality interval; and obtaining the current electric power spot market price, judging whether the current electric power spot market price is within the final price rationality judgment interval, and determining whether the current electric power spot market price is reasonable according to the judgment result, and the method and the related device can accurately and comprehensively judge the rationality of the electric power spot market price.

Description

Technical Field

[0001] The present invention belongs to the technical field of power market price analysis, and relates to a method for judging the rationality of electricity spot market prices and related devices. Background Art

[0002] With the large-scale grid connection of new energy sources such as wind power and photovoltaic power, the electricity spot market price is significantly affected by the randomness of power output, and the traditional price judgment method based on fixed costs is difficult to adapt to high-volatility scenarios. The existing technologies do not quantify the transmission mechanism of new energy output fluctuations on prices, lack the linkage analysis of supply-demand balance (supply-demand ratio) and price elasticity, and do not dynamically adjust the rationality interval in combination with historical price fluctuation characteristics.

[0003] In the existing technologies, methods for judging the rationality of electricity spot market prices consider factors such as unit costs, historical prices, and market supply and demand. Such methods usually determine the reasonable range of prices by establishing a price model, analyzing the price fluctuation rules in historical data, and combining the current market supply and demand situation and unit costs. However, these methods often do not consider the dynamic cost changes of units, nor fully consider the random volatility of new energy. In the context of large-scale access of new energy to the power system, the judgment of price rationality may not be accurate and comprehensive enough to adapt to the complex changes in the new energy power market. Summary of the Invention

[0004] The purpose of the present invention is to overcome the above-mentioned shortcomings of the existing technologies, and provide a method for judging the rationality of electricity spot market prices and related devices, which can accurately and comprehensively judge the rationality of electricity spot market prices.

[0005] To achieve the above purpose, the present invention discloses a method for judging the rationality of electricity spot market prices, including:

[0006] Obtain the operation data of the power system;

[0007] Construct a cost rationality price interval, a historical rationality price interval, and a dynamic scenario rationality interval according to the operation data of the power system, and determine the final price rationality judgment interval according to the cost rationality price interval, the historical rationality price interval, and the dynamic scenario rationality interval;

[0008] Obtain the current electricity spot market price, judge whether the current electricity spot market price is within the final price rationality judgment interval, and determine whether the current electricity spot market price is reasonable according to the judgment result.

[0009] The further improvement of the method for judging the rationality of electricity spot market prices according to the present invention lies in:

[0010] Further, the cost rationality price interval is [CMC , 1.5×C MC , where C MC is the marginal cost of the conventional unit.

[0011] Furthermore, the historical reasonable price range is [P 95 - 2δ H , P 95 + 2δ H , where δ H is the standard deviation of the spot historical price, and P 95 is 95% of the historical average of the spot historical price.

[0012] Furthermore, the dynamic reasonable price range is:

[0013] [P base - kδ, P base + kδ]

[0014] where P base is the weighted average of the theoretical prices of all scenarios, k is the confidence coefficient, and δ is the scenario price standard deviation.

[0015] Furthermore, the theoretical price of scenario i is:

[0016]

[0017] where K i is the supply - demand ratio of scenario i, ε i is the elasticity coefficient of scenario i, and C MC is the marginal cost of the conventional unit.

[0018] The present invention discloses a system for determining the reasonableness of electricity spot market prices, including:

[0019] An acquisition module for acquiring the operation data of the power system;

[0020] A determination module for constructing a cost - reasonable price range, a historical - reasonable price range, and a dynamic - scenario - reasonable range according to the operation data of the power system, and determining the final price - reasonableness determination range according to the cost - reasonable price range, the historical - reasonable price range, and the dynamic - scenario - reasonable range;

[0021] A judgment module for acquiring the current electricity spot market price, judging whether the current electricity spot market price is within the final price - reasonableness determination range, and determining whether the current electricity spot market price is reasonable according to the judgment result.

[0022] A further improvement of the system for determining the reasonableness of electricity spot market prices according to the present invention is:

[0023] Further, the cost - reasonable price range is [C MC , 1.5×C MC , where C MC is the marginal cost of the conventional unit.

[0024] Further, the historical - reasonable price range is [P 95 - 2δ H , P 95 + 2δ H , where δ H is the standard deviation of the spot historical price, and P 95 is 95% of the historical average of the spot historical price.

[0025] Further, the dynamic - reasonable price range is:

[0026] [P base - kδ, P base + kδ]

[0027] where P base is the weighted average of the theoretical prices of all scenarios, k is the confidence coefficient, and δ is the scenario price standard deviation.

[0028] Further, the theoretical price of scenario i is:

[0029]

[0030] where K i is the supply - demand ratio of scenario i, ε i is the elasticity coefficient of scenario i, and C MC is the marginal cost of the conventional unit.

[0031] The present invention discloses a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the method for determining the rationality of the electricity spot market price are implemented.

[0032] The present invention discloses a computer - readable storage medium storing a computer program, and when the computer program is executed by a processor, the steps of the method for determining the rationality of the electricity spot market price are implemented.

[0033] The present invention has the following beneficial effects:

[0034] When the method and related device for determining the rationality of electricity spot market prices according to the present invention are specifically operated, a cost rationality price range, a historical rationality price range, and a dynamic scenario rationality range are constructed based on the operation data of the power system. The final price rationality determination range is determined according to the cost rationality price range, the historical rationality price range, and the dynamic scenario rationality range, so as to comprehensively consider the random volatility of new energy output, historical laws, and unit operation costs, avoid the one-sidedness of a single indicator, and improve the accuracy of determining the final price rationality determination range. At the same time, it is judged whether the current electricity spot market price is within the final price rationality determination range, and according to the judgment result, it is determined whether the current electricity spot market price is reasonable, so as to accurately and comprehensively judge the rationality of the electricity spot market price. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] The accompanying drawings forming a part of this invention are used to provide a further understanding of the invention. The schematic embodiments and descriptions thereof of the invention are used to explain the invention and do not constitute an improper limitation of the invention. In the drawings:

[0036] Figure 1 is a flowchart of the method of the present invention;

[0037] Figure 2 is a system structure diagram of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0038] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0039] In the description of the present invention, it should be understood that the terms "including" and "comprising" indicate the presence of the described features, wholes, steps, operations, elements, and / or components, but do not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components, and / or their combinations.

[0040] It should also be understood that the terms used in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. As used in the specification of the present invention and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an", and "the" are intended to include the plural forms.

[0041] It should be further understood that the term "and / or" used in the specification and appended claims of the present invention refers to any combination and all possible combinations of one or more of the associated listed items, and includes these combinations. For example, A and / or B can represent three cases: A exists alone, A and B exist simultaneously, and B exists alone. In addition, the character " / " in the present invention generally represents an "or" relationship between the preceding and following related objects.

[0042] It should be understood that although terms such as first, second, and third may be used in the embodiments of the present invention to describe preset ranges, etc., these preset ranges should not be limited to these terms. These terms are only used to distinguish the preset ranges from each other. For example, without departing from the scope of the embodiments of the present invention, the first preset range may also be referred to as the second preset range, and similarly, the second preset range may also be referred to as the first preset range.

[0043] Depending on the context, the word "if" as used herein can be interpreted as "when" or "while" or "in response to determining" or "in response to detecting". Similarly, depending on the context, the phrase "if determined" or "if detected (stated condition or event)" can be interpreted as "when determined" or "in response to determining" or "when detecting (stated condition or event)" or "in response to detecting (stated condition or event)".

[0044] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. Usually, the components described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present invention provided in the drawings is not intended to limit the scope of the claimed present invention, but merely represents the selected embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts belong to the scope of protection of the present invention.

[0045] Various structural schematic diagrams according to the disclosed embodiments of the present invention are shown in the drawings. These figures are not drawn to scale, where some details are enlarged for the purpose of clear expression, and some details may be omitted. The shapes of various regions and layers shown in the figures and their relative sizes and positional relationships are only exemplary, and may actually deviate due to manufacturing tolerances or technical limitations. Those skilled in the art can additionally design regions / layers with different shapes, sizes, and relative positions according to actual needs.

[0046] As is well known, in the electricity energy market, the electricity spot energy market includes the day-ahead electricity energy market and the real-time electricity energy market. The day-ahead market is based on the competitive bidding data of power generation and consumption parties, aiming to maximize the social welfare surplus. On the premise of considering system balance constraints, grid reserve requirements, unit operation constraints, and grid security constraints, it determines the electricity prices of each node or zone in the grid and the winning bids of each market participant. The real-time market is based on the unit commitment mode of the day-ahead market and adopts a full-electricity optimization model. Before real-time operation, it globally optimizes and allocates the power generation resources of the entire network according to the latest ultra-short-term load forecast and system operation information.

[0047] Embodiment 1

[0048] Reference Figure 1 , the method for determining the rationality of the electricity spot market price according to the present invention includes the following steps:

[0049] 1) Collect data and process the collected data;

[0050] The collected data includes 15-minute output prediction data of wind power and photovoltaic power, short-term and ultra-short-term system load prediction data, marginal cost data of conventional units, real-time fuel prices, and 15-minute spot market historical prices in the past month. Among them, the 15-minute output prediction data of wind power and photovoltaic power includes the probability distribution at the 15-minute level;

[0051] Calculate the supply-demand ratio K;

[0052]

[0053] Calculate the historical average price P of the spot historical price H , standard deviation δ H and its 95% quantile P 95 .

[0054] 2) Based on the processed data, construct the final price rationality determination interval;

[0055] The operation process of step 2) is as follows:

[0056] 21) Construct the random fluctuation and scenarios of new energy;

[0057] Based on the historical output data of new energy, use normal distribution to fit the random fluctuation characteristics of new energy. The parameters of the normal distribution fitting are:

[0058] Mean = predicted output

[0059] Standard deviation = historical volatility * 20%

[0060] Use the Monte Carlo method to generate 1000 new energy output scenarios, covering the range of 50%-150% of the new energy output.

[0061] 22) Construct a reasonable cost price range;

[0062] Use the marginal cost of conventional units to anchor the price floor, where the marginal cost C of the conventional unit MC is:

[0063] C MC = fuel cost of unit active power output + variable operation and maintenance cost

[0064] Among them: the fuel cost is dynamically updated based on the real-time coal and natural gas prices and the unit thermal efficiency.

[0065] The reasonable cost price range uses the marginal cost C of the conventional unit MC as the price lower limit, and takes 1.5 times of the marginal cost as the short-term cost warning line, that is, the upper limit. That is, the reasonable cost price range is:

[0066] [C MC , 1.5×C MC

[0067] 23) Generate a historical reasonable price range;

[0068] Use the historical price volatility (standard deviation, quantile) to calibrate the boundary of the reasonable cost price range, and calculate the standard deviation δ of the historical price H That is, the 95% quantile P 95 , and determine the upper and lower limits of the historical reasonable price range, that is:

[0069] [P 95 - 2δ H , P 95 + 2δ H

[0070] 24) Generate a dynamic scenario reasonable range;

[0071] Set the price elasticity coefficient based on the supply-demand ratio, and integrate the new energy scenario probability, supply-demand ratio and cost constraints to generate a real-time reasonable price range.

[0072] Establish a mapping relationship between the supply-demand ratio K and the price elasticity coefficient ε. When supply exceeds demand, it is negative elasticity; when balanced, it is standard elasticity; when demand exceeds supply, it is high elasticity. That is:

[0073]

[0074] Calculate the theoretical price in combination with the new energy scenario. For each scenario i, according to the supply-demand ratio K i , select the corresponding elasticity coefficient ε i ​​, the theoretical price of scenario i is calculated as follows:

[0075]

[0076] For example, when K i = 1.2, there is a supply surplus, and at this time ε i = -0.8, the theoretical price = marginal price * 0.84; when K i = 0.8, there is a supply shortage, and at this time ε i = 1.5, the theoretical price = marginal price * 1.375.

[0077] Based on the theoretical prices of each scenario, the dynamic rational price range is obtained as:

[0078] [P base - kδ, P base + kδ]

[0079] where P base is the weighted average of the theoretical prices of all scenarios, k is the confidence coefficient, by default 1.96, corresponding to a 95% confidence interval, and δ is the standard deviation of the scenario prices.

[0080] 25) Determine the final price rationality judgment interval [P lower , P upper ;

[0081] Combining the cost rational price range, historical rational price range, and dynamic scenario rational price range, determine the final price rationality judgment interval [P lower , P upper .

[0082] The lower limit of the final price rationality judgment interval is the minimum value among the marginal cost, historical price lower limit, and scenario price lower limit, to ensure that the price is not lower than the cost bottom line, that is:

[0083] P lower = min(C MC , P 95 - 2δ H , P base - kδ)

[0084] The upper limit of the final price rationality judgment interval is the larger value between 1.5 times the marginal cost C MC and the historical price upper limit P 95 + 2δ H , to suppress extreme premiums, that is

[0085] P upper = max(1.5 × C MC , P 95 + 2δ H,P base +kδ)

[0086] 3) Rationality judgment;

[0087] Obtain the electricity spot market price. When the current electricity spot market price P real is within the interval [P lower ,P upper , it is considered that the electricity spot market price is reasonable; otherwise, it is considered that the electricity spot market price is unreasonable, and an abnormal warning is triggered, and further verification is carried out in combination with the quotation behavior of market entities.

[0088] When the price exceeds the interval, a two-level warning is triggered, specifically:

[0089] 31) Mild anomaly (within 10% deviation from the interval): Verify whether it is caused by a sudden increase in short-term load or a sharp drop in new energy.

[0090] 32) Severe anomaly (more than 30% deviation from the interval): Combine the quotation data of market entities to check whether there is a concentrated manipulation of quotation behavior.

[0091] It should be noted that the present invention simultaneously considers new energy fluctuations, supply-demand balance, cost constraints, and historical laws to avoid the one-sidedness of a single indicator; at the same time, it automatically adjusts the interval width based on the real-time market structure (such as new energy penetration rate, energy storage capacity) to adapt to different market stages; in addition, the present invention uses the marginal cost as the price floor to prevent low-price dumping from damaging the sustainability of conventional units, and at the same time suppresses price manipulation through the upper limit of historical volatility.

[0092] Embodiment 2

[0093] Reference Figure 2 , the electricity spot market price rationality determination system of the present invention includes:

[0094] An acquisition module for acquiring the operation data of the power system;

[0095] A determination module for constructing a cost rationality price interval, a historical rationality price interval, and a dynamic scenario rationality interval according to the operation data of the power system, and determining a final price rationality determination interval according to the cost rationality price interval, the historical rationality price interval, and the dynamic scenario rationality interval;

[0096] A judgment module for obtaining the current electricity spot market price, judging whether the current electricity spot market price is within the final price rationality determination interval, and determining whether the current electricity spot market price is reasonable according to the judgment result.

[0097] In this embodiment, the cost rationality price interval is [C MC ,1.5×C MC, where C MC is the marginal cost of the conventional unit.

[0098] In this embodiment, the historical reasonable price range is [P 95 - 2δ H , P 95 + 2δ H , where δ H is the standard deviation of the spot historical price, and P 95 is 95% of the historical average of the spot historical price.

[0099] In this embodiment, the dynamic reasonable price range is:

[0100] [P base - kδ, P base + kδ]

[0101] where P base is the weighted average of the theoretical prices of all scenarios, k is the confidence coefficient, and δ is the scenario price standard deviation.

[0102] In this embodiment, the theoretical price of scenario i is:

[0103]

[0104] where K i is the supply - demand ratio of scenario i, ε i is the elasticity coefficient of scenario i, and C MC is the marginal cost of the conventional unit.

[0105] The division of modules in the embodiments of the present application is illustrative. It is only a logical function division. In actual implementation, there may be other division methods. In addition, in each embodiment of the present application, each functional module can be integrated in a processor, can also exist physically alone, or two or more modules can be integrated in one module. The above - integrated modules can be implemented in the form of hardware or in the form of software functional modules.

[0106] Embodiment III

[0107] A computer device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the method for determining the rationality of the electricity spot market price are implemented. For example, it includes: obtaining the operation data of the power system; constructing a cost rationality price range, a historical rationality price range, and a dynamic scenario rationality range based on the operation data of the power system, and determining the final price rationality determination range according to the cost rationality price range, the historical rationality price range, and the dynamic scenario rationality range; obtaining the current electricity spot market price, determining whether the current electricity spot market price is within the final price rationality determination range, and determining whether the current electricity spot market price is reasonable according to the judgment result. Among them, the memory may include an internal memory, such as a high-speed random access memory, and may also include a non-volatile memory, such as at least one disk memory, etc.; the processor, the network interface, and the memory are interconnected through an internal bus, and the internal bus may be an Industry Standard Architecture bus, a Peripheral Component Interconnect standard bus, an Extended Industry Standard Architecture bus, etc., and the bus may be divided into an address bus, a data bus, a control bus, etc. The memory is used to store programs. Specifically, the program may include program code, and the program code includes computer operation instructions. The memory may include an internal memory and a non-volatile memory, and provide instructions and data to the processor.

[0108] Embodiment 4

[0109] A computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the method for determining the rationality of the electricity spot market price are implemented. For example, it includes: obtaining the operation data of the power system; constructing a cost rationality price range, a historical rationality price range, and a dynamic scenario rationality range based on the operation data of the power system, and determining the final price rationality determination range according to the cost rationality price range, the historical rationality price range, and the dynamic scenario rationality range; obtaining the current electricity spot market price, determining whether the current electricity spot market price is within the final price rationality determination range, and determining whether the current electricity spot market price is reasonable according to the judgment result. Specifically, the computer-readable storage medium includes, but is not limited to, for example, a volatile memory and / or a non-volatile memory. The volatile memory may include a random access memory (RAM) and / or a cache memory, etc. The non-volatile memory may include a read-only memory (ROM), a hard disk, a flash memory, an optical disc, a magnetic disk, etc.

[0110] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, a system, or a computer program product. Therefore, the present application can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.

[0111] The present application is described with reference to the flowcharts and / or block diagrams of methods, apparatuses (systems), and computer program products according to the embodiments of the present application. It should be understood that each flow and / or block in the flowchart and / or block diagram, and the combination of flows and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, such that the instructions executed by the processor of the computer or other programmable data processing devices generate means for implementing the functions specified in Figure 1 one or more of the flows Figure 1 or blocks or combinations of blocks.

[0112] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, such that the instructions stored in the computer-readable memory generate a manufactured article including instruction means that implement the functions specified in Figure 1 one or more of the flows Figure 1 or blocks or combinations of blocks.

[0113] These computer program instructions can also be loaded onto a computer or other programmable data processing device, such that a series of operation steps are executed on the computer or other programmable device to generate a computer-implemented process, and thus the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in Figure 1 one or more of the flows Figure 1 or blocks or combinations of blocks.

[0114] After considering the specification and the disclosure of the invention, those skilled in the art will readily conceive of other embodiments of the present invention. The present application is intended to cover any variations, uses, or adaptations of the present invention that follow the general principles of the present invention and include known common knowledge or conventional technical means in the technical field not disclosed by the present invention. The specification and the embodiments are only regarded as exemplary, and the true scope and spirit of the present invention are pointed out by the following claims.

[0115] It should be understood that the present invention is not limited to the exact structures described above and shown in the drawings, and various modifications and changes can be made without departing from its scope. The scope of the present invention is only limited by the appended claims.

[0116] The above are only the preferred embodiments of the present invention, and do not impose any limitations on the present invention. Any simple modifications, changes, and equivalent structural changes made to the above embodiments according to the technical essence of the present invention still fall within the protection scope of the technical solution of the present invention.

Claims

1. A method for determining the rationality of electricity spot market prices, characterized in that: include: Obtaining operation data of power system; Constructing a cost rationality price range, a historical rationality price range and a dynamic scenario rationality range according to the operation data of the power system, and determining a final price rationality determination range according to the cost rationality price range, the historical rationality price range and the dynamic scenario rationality range; Obtain the current electricity spot market price, determine whether the current electricity spot market price is within the final price rationality determination interval, and determine whether the current electricity spot market price is reasonable based on the determination result.

2. The method for determining the rationality of spot power market prices according to claim 1, characterized in that: The cost reasonableness price range is [C MC ,1.5×C MC ], where C MC is the marginal cost of conventional units.

3. The method for determining the rationality of electricity spot market prices according to claim 1, characterized in that: The historical reasonable price range is [P 95 -2δ H ,P 95 +2δ H ], where δ H is the standard deviation of the spot historical price, P 95 95% of the historical average spot price.

4. The method for determining the rationality of spot power market prices according to claim 1, characterized in that: The dynamic reasonableness price range is: [P base -kδ,P base +kδ] Among them, P base is the weighted average of the theoretical prices of all scenarios, k is the confidence coefficient, and δ is the standard deviation of the scenario price.

5. The method for determining the rationality of spot power market prices according to claim 4, characterized in that: Theoretical price of scenario i for: Among them, K i is the supply-demand ratio of scenario i, ε i is the elastic coefficient of scene i, C MC is the marginal cost of conventional units.

6. A system for determining the rationality of spot power market prices, characterized in that: include: An acquisition module, used for acquiring operation data of the power system; A determination module, used to construct a cost rationality price range, a historical rationality price range and a dynamic scenario rationality range according to the operation data of the power system, and determine a final price rationality determination range according to the cost rationality price range, the historical rationality price range and the dynamic scenario rationality range; The judgment module is used to obtain the current electricity spot market price, judge whether the current electricity spot market price is within the final price rationality judgment interval, and determine whether the current electricity spot market price is reasonable based on the judgment result.

7. The power spot market price rationality determination system according to claim 6, characterized in that: The cost reasonableness price range is [C MC ,1.5×C MC ], where C MC is the marginal cost of conventional units.

8. The method for determining the rationality of spot power market prices according to claim 6, characterized in that: The historical reasonable price range is [P 95 -2δ H ,P 95 +2δ H ], where δ H is the standard deviation of the spot historical price, P 95 95% of the historical average spot price.

9. The power spot market price rationality determination system according to claim 6, characterized in that: The dynamic reasonableness price range is: [P base -kδ,P base +kδ] Among them, P base is the weighted average of the theoretical prices of all scenarios, k is the confidence coefficient, and δ is the standard deviation of the scenario price.

10. The power spot market price rationality determination system according to claim 9, characterized in that: Theoretical price of scenario i for: Among them, K i is the supply-demand ratio of scenario i, ε i is the elastic coefficient of scene i, C MC is the marginal cost of conventional units.

11. A computer 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, the steps of the method for determining the rationality of electricity spot market prices as described in any one of claims 1 to 5 are implemented.

12. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the method for determining the rationality of electricity spot market prices as described in any one of claims 1 to 5 are implemented.

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