Electric power spot market evaluation method and device, computer equipment and storage medium

Abstract

The invention relates to an electric power spot market evaluation method and device, computer equipment and a storage medium. Obtaining to-be-evaluated power spot market data of the power spot market, determining target index values of the power spot market under the plurality of market operation quality indexes based on the SCP theory and the to-be-evaluated power spot market data, and determining the power spot market according to the target weight coefficient and the target index value of each market operation quality index. And obtaining a market operation quality evaluation value of the electric power spot market. According to the embodiment of the invention, the SCP theory can be combined with the actual operation condition of the electric power spot market, the operation quality of the electric power spot market is embodied into three levels of market structure, market behavior and market performance, and the defect of lack of overall view evaluation of the electric power spot market in a traditional mode is overcome. Omnibearing comprehensive evaluation of the market operation quality of the electric power spot market is realized, and the accuracy of market operation quality evaluation is improved.

Description

Technical Field

[0001] The present application relates to the field of smart grid technology, and in particular to a method, device, computer equipment and storage medium for evaluating a spot electricity market. Background Art

[0002] In order to effectively ensure the safe and stable operation of the electricity spot market, promptly discover market problems and prevent market risks, it is necessary to track, monitor and evaluate the operation of the electricity spot market, so as to achieve the optimal dispatch of electric energy and promote the healthy and orderly development of the electricity market.

[0003] At present, grey correlation and fuzzy comprehensive evaluation are mainly used to evaluate and analyze market transaction conditions. However, this method is difficult to conduct comprehensive monitoring and evaluation of the electricity spot market. Summary of the invention

[0004] Based on this, it is necessary to provide an electricity spot market evaluation method, device, computer equipment and storage medium that can improve the comprehensiveness of the evaluation of electricity spot market operation instructions in response to the above technical problems.

[0005] In a first aspect, the present application provides a method for evaluating a spot electricity market, comprising:

[0006] Obtaining the power spot market data to be evaluated in the power spot market;

[0007] Based on the SCP theory and the power spot market data to be evaluated, determining target indicator values ​​of the power spot market under multiple market operation quality indicators;

[0008] According to the target weight coefficient of each of the market operation quality indicators and the target indicator value, a market operation quality evaluation value of the electricity spot market is obtained.

[0009] In one embodiment, the method of determining target indicator values ​​of the power spot market under multiple market operation quality indicators based on the SCP theory and the power spot market data to be evaluated includes:

[0010] Correcting the electricity spot market data to be evaluated to obtain corrected electricity spot market data;

[0011] Based on the SCP theory and the corrected power spot market data, initial index values ​​of the power spot market under multiple market operation quality indicators are obtained;

[0012] The initial indicator values ​​under the multiple market operation quality indicators are standardized to obtain the target indicator values.

[0013] In one embodiment, the correcting the to-be-evaluated electricity spot market data to obtain the corrected electricity spot market data includes:

[0014] Correct the data to be corrected in each type of electricity spot market data group to obtain the corrected electricity spot market data; wherein the electricity spot market data to be evaluated includes the electricity spot market data groups of each type, the data to be corrected includes abnormal data and / or missing data, and the abnormal data includes data in the electricity spot market data group whose difference with the mean of the electricity spot market data group is greater than a preset threshold.

[0015] In one embodiment, the method further comprises:

[0016] Obtaining sample electricity spot market data of the electricity spot market;

[0017] Based on the SCP theory and the sample power spot market data, sample indicator values ​​of the power spot market under multiple market operation quality indicators are obtained;

[0018] Based on the analytic hierarchy process and the sample indicator values, a first weight coefficient of the power spot market under multiple market operation quality indicators is obtained;

[0019] Based on the CRITIC analysis method and the sample indicator values, a second weight coefficient of the power spot market under multiple market operation quality indicators is obtained;

[0020] According to the plurality of the first weight coefficients and the plurality of the second weight coefficients, the target weight coefficients of the electricity spot market under the plurality of market operation quality indicators are obtained.

[0021] In one embodiment, obtaining the target weight coefficient of the power spot market under multiple market operation quality indicators according to the multiple first weight coefficients and the multiple second weight coefficients includes:

[0022] Constructing an optimization function for the target weight coefficient based on the range maximization method;

[0023] Establishing a constraint condition of the target weight coefficient according to the plurality of the first weight coefficients and the plurality of the second weight coefficients;

[0024] According to the optimization function and the constraint conditions, target weight coefficients of the electricity spot market under multiple market operation quality indicators are determined.

[0025] In one embodiment, the plurality of market operation quality indicators include evaluation indicators corresponding to market structure dimension, market behavior dimension and market performance dimension.

[0026] In a second aspect, the present application also provides an electricity spot market evaluation device, comprising:

[0027] An acquisition module, used for acquiring the power spot market data to be evaluated in the power spot market;

[0028] A first determination module is used to determine the target indicator values ​​of the power spot market under multiple market operation quality indicators based on the SCP theory and the power spot market data to be evaluated;

[0029] The second determination module is used to obtain the market operation quality evaluation value of the power spot market according to the target weight coefficient of each market operation quality indicator and the target indicator value.

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

[0031] Obtaining the power spot market data to be evaluated in the power spot market;

[0032] Based on the SCP theory and the power spot market data to be evaluated, determining target indicator values ​​of the power spot market under multiple market operation quality indicators;

[0033] According to the target weight coefficient of each of the market operation quality indicators and the target indicator value, a market operation quality evaluation value of the electricity spot market is obtained.

[0034] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the following steps are implemented:

[0035] Obtaining the power spot market data to be evaluated in the power spot market;

[0036] Based on the SCP theory and the power spot market data to be evaluated, determining target indicator values ​​of the power spot market under multiple market operation quality indicators;

[0037] According to the target weight coefficient of each of the market operation quality indicators and the target indicator value, a market operation quality evaluation value of the electricity spot market is obtained.

[0038] In a fifth aspect, the present application further provides a computer program product, including a computer program, which implements the following steps when executed by a processor:

[0039] Obtaining the power spot market data to be evaluated in the power spot market;

[0040] Based on the SCP theory and the power spot market data to be evaluated, determining target indicator values ​​of the power spot market under multiple market operation quality indicators;

[0041] According to the target weight coefficient of each of the market operation quality indicators and the target indicator value, a market operation quality evaluation value of the electricity spot market is obtained.

[0042] The above-mentioned electricity spot market evaluation method, device, computer equipment and storage medium obtain the electricity spot market data to be evaluated of the electricity spot market, determine the target indicator values ​​of the electricity spot market under multiple market operation quality indicators based on the SCP theory and the electricity spot market data to be evaluated, and obtain the market operation quality evaluation value of the electricity spot market according to the target weight coefficient and target indicator value of each market operation quality indicator. In the embodiment of the present application, the SCP theory can be combined with the actual situation of the operation of the electricity spot market to concretize the operation quality of the electricity spot market into three levels: market structure, market behavior and market performance, which makes up for the lack of overall perspective evaluation of the electricity spot market in the traditional method, realizes the comprehensive evaluation of the market operation quality of the electricity spot market, improves the accuracy of the market operation quality evaluation, and plays an important supporting role in the development and operation of the electricity spot market and the improvement of resource allocation efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the drawings required for use in the embodiments of the present application or related technical descriptions will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0044] Figure 1 is an application environment diagram of a power spot market evaluation method in one embodiment;

[0045] Figure 2 A schematic diagram of a flow chart of a method for evaluating a power spot market in one embodiment;

[0046] Figure 3 A schematic diagram of a flow chart of a method for determining a target indicator value in one embodiment;

[0047] Figure 4 Schematic diagram of a flow chart of a method for determining a target weight coefficient in one embodiment;

[0048] Figure 5 It is a flowchart of a method for determining a target weight coefficient in another embodiment;

[0049] Figure 6is a schematic diagram of a target weight coefficient in one embodiment;

[0050] Figure 7 is a schematic diagram of a target weight coefficient in another embodiment;

[0051] Figure 8 It is a structural frame of an electricity spot market evaluation device in one embodiment. DETAILED DESCRIPTION

[0052] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0053] The power spot market evaluation method provided in the embodiment of the present application can be applied to Figure 1 The application environment includes a computer device, which may be a server, and its internal structure diagram may be as shown in FIG. Figure 1 As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. Among them, the processor, the memory and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store relevant data for the evaluation of the electricity spot market. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a method for evaluating the electricity spot market is implemented. The server can be an independent physical server, a server cluster or a distributed system composed of multiple physical servers, or a cloud server that provides cloud computing services.

[0054] Those skilled in the art will understand that Figure 1 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0055] In an exemplary embodiment, Figure 2As shown in the figure, a method for evaluating the electricity spot market is provided. Figure 1 The computer device example in the embodiment is described, including the following S201 to S203. Among them:

[0056] S201, obtaining the electricity spot market data to be evaluated in the electricity spot market.

[0057] Optionally, the electricity spot market data to be evaluated may include: electricity spot market operating rules data, day-ahead clearing data of the electricity spot market, real-time clearing data of the electricity spot market (clearing price and clearing quantity), quotation and quantity reporting data of entities in the electricity spot market, quantity reporting information of generating units in the electricity spot market, quotation information, unit capacity, proportion of bidding units, balance funds and other data.

[0058] In an embodiment of the present application, the computer device can obtain the electricity spot market data to be evaluated from the database corresponding to the electricity spot market upon receiving instructions from the user; the computer device can also periodically collect multiple days of electricity spot market data to be evaluated based on a preset collection frequency of 15 minutes.

[0059] S202: Based on the SCP theory and the power spot market data to be evaluated, determine the target indicator values ​​of the power spot market under multiple market operation quality indicators.

[0060] In the embodiment of the present application, the power spot market monitoring index system is designed based on the SCP theory, and is decomposed from top to bottom into three systems: the target layer, the criterion layer, and the indicator layer. The target layer is the operation quality of the power spot market, which represents the research goal; the criterion layer characterizes the changing characteristics of the power spot market operation quality from the dimensions of market structure, market behavior, and market performance; the indicator layer refines the market operation quality into several market operation quality indicators such as the Lerner index based on the power spot market data to be evaluated.

[0061] Therefore, multiple market operation quality indicators include evaluation indicators corresponding to the market structure dimension, market behavior dimension and market performance dimension. The market structure dimension refers to the comprehensive reflection of factors such as the number of enterprises in the electricity spot market, the size distribution and the degree of product differentiation. These factors jointly determine the competitive state of the market, which in turn affects the behavior and market performance of enterprises. Market behavior refers to the strategies and actions taken by enterprises under a specific market structure. These behaviors include but are not limited to pricing strategies, advertising, product innovation, etc., which are aimed at maximizing the profits or market share of enterprises. Market performance refers to the economic results achieved by enterprises under specific market structures and behavior patterns, including profitability, market share, product quality and other aspects.

[0062] In the embodiment of the present application, target indicator values ​​under multiple market operation quality indicators are determined based on the power spot market data to be evaluated. For example, based on the real-time clearing data, generator unit quantity information and quotation information of the power spot market, the target indicator value corresponding to profitability is obtained; based on the power spot market operation rule data, the target indicator value corresponding to product quality is obtained, etc.

[0063] S203, obtaining a market operation quality assessment value of the power spot market according to the target weight coefficient and target indicator value of each market operation quality indicator.

[0064] In an embodiment of the present application, the target weight coefficient of each market operation quality indicator and the target indicator value are multiplied to obtain the evaluation value of each market operation quality indicator, thereby obtaining the market operation quality evaluation value of the electricity spot market based on the evaluation value of each market operation quality indicator. For example, the market structure dimension includes indicators 1, 2 and 3, and the sum of the target weight coefficients corresponding to indicators 1, 2 and 3 is 1; the market behavior dimension includes indicators 4, 5 and 6, and the sum of the target weight coefficients corresponding to indicators 4, 5 and 6 is 1; the market performance dimension includes indicators 7 and 8, and the sum of the target weight coefficients corresponding to indicators 7 and 8 is 1. According to the product of the target weight coefficients corresponding to indicators 1, 2 and 3 and the target indicator values, the evaluation values ​​corresponding to indicators 1, 2 and 3 are obtained, and the evaluation values ​​corresponding to indicators 1, 2 and 3 are added to obtain the evaluation value corresponding to the market structure dimension. The evaluation values ​​corresponding to the market behavior dimension and the market performance dimension are obtained in turn, and the evaluation value corresponding to the market structure dimension, the evaluation value corresponding to the market behavior dimension and the evaluation value corresponding to the market performance dimension are used as the market operation quality evaluation value of the electricity spot market.

[0065] In a possible implementation, the market operation quality assessment value of the electricity spot market can be obtained by weighted summing up the assessment value corresponding to the market structure dimension, the assessment value corresponding to the market behavior dimension, the assessment value corresponding to the market performance dimension and the weight coefficient of the market structure dimension, the weight coefficient of the market behavior dimension and the weight coefficient of the market performance dimension.

[0066] Optionally, the market structure dimension weight coefficient, the market behavior dimension weight coefficient and the market performance dimension weight coefficient may be preset weight coefficients or may be calculated based on the electricity spot market data to be evaluated.

[0067] In the above-mentioned electricity spot market evaluation method, the electricity spot market data to be evaluated of the electricity spot market is obtained, and based on the SCP theory and the electricity spot market data to be evaluated, the target indicator values ​​of the electricity spot market under multiple market operation quality indicators are determined, and the market operation quality evaluation value of the electricity spot market is obtained according to the target weight coefficient and the target indicator value of each market operation quality indicator. In the embodiment of the present application, the SCP theory can be combined with the actual situation of the operation of the electricity spot market to concretize the operation quality of the electricity spot market into three levels: market structure, market behavior and market performance, which makes up for the lack of overall perspective evaluation of the electricity spot market in the traditional method, realizes the comprehensive evaluation of the market operation quality of the electricity spot market, improves the accuracy of the market operation quality evaluation, and plays an important supporting role in the development and operation of the electricity spot market and the improvement of resource allocation efficiency.

[0068] Figure 3 FIG. 1 is a flow chart of a method for determining a target indicator value in an embodiment. Figure 3 As shown, the embodiment of the present application relates to a possible implementation method of how to determine the target indicator values ​​of the power spot market under multiple market operation quality indicators based on the SCP theory and the power spot market data to be evaluated, including the following steps:

[0069] S301, correcting the electricity spot market data to be evaluated to obtain corrected electricity spot market data.

[0070] In an embodiment of the present application, correcting the electricity spot market data to be evaluated may be to clean the data, remove redundant data in the electricity spot market data to be evaluated, and obtain corrected electricity spot market data. Specifically, correcting the electricity spot market data to be evaluated to obtain corrected electricity spot market data includes: correcting the data to be corrected in each type of electricity spot market data group to obtain corrected electricity spot market data; wherein the electricity spot market data to be evaluated includes each type of electricity spot market data group, the data to be corrected includes abnormal data and / or missing data, and the abnormal data includes data in the electricity spot market data group whose difference with the mean of the electricity spot market data group is greater than a preset threshold.

[0071] In an embodiment of the present application, the collected power spot market data to be evaluated is subjected to quality detection, and the quality detection includes data detection and missing data detection. Optionally, the preset threshold may be twice the standard deviation determined based on the power spot market data group.

[0072] Can be based on Correct the data to be corrected to obtain the corrected electricity spot market data, where X k represents the corrected kth missing data / abnormal data, X k-drepresents the first d observations of the kth missing data / abnormal data in the electricity spot market data set, X k+d It represents the d observations after the kth missing data / abnormal data in the electricity spot market data set, where d is a constant term.

[0073] S302, based on the SCP theory and the corrected power spot market data, initial indicator values ​​of the power spot market under multiple market operation quality indicators are obtained.

[0074] For the specific implementation method, please refer to the above S202.

[0075] S303, standardizing the initial indicator values ​​under multiple market operation quality indicators to obtain target indicator values.

[0076] In the embodiment of the present application, it can be based on The initial indicator values ​​under multiple market operation quality indicators are standardized to obtain the target indicator values. It represents the normalized target indicator value, x represents the initial indicator value under the same dimension, max(x) represents the maximum value of the initial indicator value under the same dimension, and min(x) represents the minimum value of the initial indicator value under the same dimension. The same dimension includes any dimension in the market structure dimension, market behavior dimension and market performance dimension.

[0077] In an embodiment of the present application, the electricity spot market data to be evaluated is corrected to obtain corrected electricity spot market data, and based on the SCP theory and the corrected electricity spot market data, initial indicator values ​​of the electricity spot market under multiple market operation quality indicators are obtained, and the initial indicator values ​​under multiple market operation quality indicators are standardized to obtain target indicator values, which can make the obtained target indicator values ​​more accurate and lay a foundation for subsequently determining the operation quality of the electricity spot market based on the target indicator values ​​and the current weight coefficients.

[0078] Figure 4 FIG. 1 is a flow chart of a method for determining a target weight coefficient in an embodiment. Figure 4 As shown, the following steps are included:

[0079] S401, obtaining sample electricity spot market data of the electricity spot market.

[0080] S402, based on the SCP theory and sample power spot market data, obtain sample indicator values ​​of the power spot market under multiple market operation quality indicators.

[0081] S403, based on the analytic hierarchy process and sample indicator values, obtain the first weight coefficient of the power spot market under multiple market operation quality indicators.

[0082] Since the market operation quality indicators under the three dimensions of market structure, market behavior and market performance are included, the target layer (electricity spot operation quality) includes the criterion layer (market structure dimension, market behavior dimension and market performance dimension). The market structure dimension, market behavior dimension and market performance dimension are regarded as the three market operation quality indicators under the target layer. Therefore, four importance judgment matrices A can be obtained.

[0083] In the embodiment of the present application, taking each market operation quality indicator under the market structure dimension as an example, an importance judgment matrix A is constructed according to the relative importance vector corresponding to each market operation quality indicator. , , , , Quality indicators for market operation Relative to market operation quality indicators Importance comparison results under the market structure dimension, where n is the number of market operation quality indicators under the market structure dimension.

[0084] For each importance judgment matrix A, according to Determine the consistency index CI of the importance judgment matrix A, where is the maximum eigenvalue of the importance judgment matrix A.

[0085] When CI=0, the importance judgment matrix A fully meets the consistency requirements. On the contrary, the larger the CI value, the lower the consistency of the importance judgment matrix A.

[0086] according to Determine the consistency test index CR, RI represents the average random consistency index value of the importance judgment matrix A, RI is a constant, when , then the importance judgment matrix A is considered to have satisfactory consistency, otherwise the importance judgment matrix A is readjusted until the importance judgment matrix A passes the consistency test.

[0087] exist In the case of , Determine the i-th row element and (i.e. market operation quality indicators The sum of the importance comparison results relative to other market operation quality indicators under the same dimension). Determine market operation quality indicators Weight coefficient relative to the corresponding dimension (corresponding criterion layer) .

[0088] according to , Get the first weight coefficient under multiple market operation quality indicators , m is the number of dimensions (market structure dimension / market behavior dimension / market performance dimension) included in the criterion layer. represents the weight coefficient of the pth dimension in the criterion layer relative to the target layer (the quality of power spot market operation), It represents the weight coefficient of the market operation quality index under the pth dimension relative to the criterion layer.

[0089] S404: Based on the CRITIC analysis method and sample indicator values, a second weight coefficient of the power spot market under multiple market operation quality indicators is obtained.

[0090] In the embodiment of the present application, according to Determine the negative market operation quality indicators after homogenization , is the i-th market operation quality indicator under the p-th dimension in the criterion layer, It represents the sample index value of the ith market operation quality index under the pth dimension in the criterion layer, and k is a constant, which is 0.1.

[0091] according to , standardize the negative market operation quality indicators, and obtain the standardized negative market operation quality indicator matrix .

[0092] according to Determine the standard deviation of the i-th negative market operation quality indicator ,in, is the mean of the i-th negative market operation quality index.

[0093] according to Determine the correlation coefficient between the i-th market operation quality indicator and the j-th market operation quality indicator , Negative market operation quality indicator matrix The covariance between the i-th negative market operation quality indicator and the j-th negative market operation quality indicator in , is the mean of the j-th negative market operation quality index.

[0094] according to ; Determine the second weight coefficient of the i-th market operation quality index .

[0095] S405, obtaining target weight coefficients of the electricity spot market under multiple market operation quality indicators based on multiple first weight coefficients and multiple second weight coefficients.

[0096] In an embodiment of the present application, the average of the first weight coefficient and the corresponding second weight coefficient can be used as the target weight coefficient under the market operation quality indicator.

[0097] In the embodiment of the present application, sample power spot market data of the power spot market is obtained, and based on the SCP theory and the sample power spot market data, sample indicator values ​​of the power spot market under multiple market operation quality indicators are obtained, and based on the hierarchical analysis method and the sample indicator values, the first weight coefficient of the power spot market under multiple market operation quality indicators is obtained, and based on the CRITIC analysis method and the sample indicator values, the second weight coefficient of the power spot market under multiple market operation quality indicators is obtained. According to the multiple first weight coefficients and the multiple second weight coefficients, the target weight coefficient of the power spot market under multiple market operation quality indicators is obtained. In the embodiment of the present application, the objective indicators and the subjective indicators are combined and weighted by the AHP-CRITIC rule, which has the characteristics of comprehensively considering the objectivity of the indicators themselves and the subjective differences of different evaluation subjects, and the method of combining the subjective and objective to determine the target weight coefficient can provide expansion space for the monitoring of the power spot market in different regions, and bring new theoretical and methodological support for effectively carrying out power market supervision and promoting the high-quality operation of the power spot market.

[0098] Figure 5 FIG. 1 is a flow chart of a method for determining a target weight coefficient in another embodiment. Figure 5 As shown, the embodiment of the present application relates to a possible implementation method of how to obtain a target weight coefficient of a power spot market under multiple market operation quality indicators based on multiple first weight coefficients and multiple second weight coefficients, including the following steps:

[0099] S501, constructing an optimization function for the target weight coefficient based on the range maximization method.

[0100] In the embodiment of the present application, the optimization function constructed based on the range maximization method can be expressed as ,in, is the target weight coefficient of the i-th market operation quality indicator, is the average weight of market operation quality indicators.

[0101] S502: Establish constraint conditions of a target weight coefficient according to a plurality of first weight coefficients and a plurality of second weight coefficients.

[0102] In the embodiment of the present application, the constraint condition can be expressed as , is the intermediate weight coefficient corresponding to the ith market operation quality indicator determined based on the first weight coefficient corresponding to the ith market operation quality indicator and the second weight coefficient corresponding to the ith market operation quality indicator, and Y is n The intermediate weight matrix is ​​composed of X, the weight optimization coefficient matrix, and Z is n The target weight matrix is ​​composed of is the first weight coefficient corresponding to each market operation quality indicator, It is the second weight coefficient corresponding to each market operation quality indicator.

[0103] S503, determining target weight coefficients of the power spot market under multiple market operation quality indicators based on the optimization function and constraint conditions.

[0104] In the embodiment of the present application, the target weight coefficient of the power spot market under multiple market operation quality indicators is determined based on the optimization function and the constraint conditions. The target weight coefficient result is as follows: Figure 6 Shown and Figure 7 shown.

[0105] In an embodiment of the present application, an optimization function for the target weight coefficient is constructed, and constraints for the target weight coefficient are established based on multiple first weight coefficients and multiple second weight coefficients. Based on the optimization function and the constraints, the target weight coefficient of the electricity spot market under multiple market operation quality indicators is determined, thereby improving the accuracy of determining the target weight coefficient.

[0106] It should be understood that, although the steps in the flowcharts involved in the above embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps is not strictly limited in order, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above embodiments may include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0107] Based on the same inventive concept, the embodiment of the present application also provides an electric power spot market evaluation device for implementing the electric power spot market evaluation method involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in one or more electric power spot market evaluation device embodiments provided below can refer to the limitations of the electric power spot market evaluation method above, and will not be repeated here.

[0108] In an exemplary embodiment, Figure 8As shown, a power spot market evaluation device is provided, comprising: a first acquisition module 11, a first determination module 12 and a second determination module 13, wherein:

[0109] The first acquisition module 11 is used to acquire the power spot market data to be evaluated in the power spot market;

[0110] A first determination module 12 is used to determine target indicator values ​​of the power spot market under multiple market operation quality indicators based on the SCP theory and the power spot market data to be evaluated;

[0111] The second determination module 13 is used to obtain the market operation quality evaluation value of the power spot market according to the target weight coefficient and the target indicator value of each market operation quality indicator.

[0112] In one embodiment, the first determination module 12 is specifically used to correct the electricity spot market data to be evaluated to obtain corrected electricity spot market data; based on the SCP theory and the corrected electricity spot market data, obtain the initial indicator values ​​of the electricity spot market under multiple market operation quality indicators; standardize the initial indicator values ​​under multiple market operation quality indicators to obtain target indicator values.

[0113] In one embodiment, the first determination module 12 is specifically used to correct the data to be corrected in each type of electricity spot market data group to obtain corrected electricity spot market data; wherein, the electricity spot market data to be evaluated includes various types of electricity spot market data groups, and the data to be corrected includes abnormal data and / or missing data, and the abnormal data includes data in the electricity spot market data group whose difference with the mean of the electricity spot market data group is greater than a preset threshold.

[0114] In one embodiment, the power spot market evaluation device further comprises:

[0115] A second acquisition module is used to acquire sample power spot market data of the power spot market;

[0116] The third determination module is used to obtain sample indicator values ​​of the power spot market under multiple market operation quality indicators based on the SCP theory and sample power spot market data;

[0117] A fourth determination module is used to obtain a first weight coefficient of the power spot market under multiple market operation quality indicators based on the hierarchical analysis method and the sample indicator value;

[0118] A fifth determination module, for obtaining a second weight coefficient of the power spot market under multiple market operation quality indicators based on the CRITIC analysis method and the sample indicator value;

[0119] The sixth determination module is used to obtain the target weight coefficient of the electricity spot market under multiple market operation quality indicators based on multiple first weight coefficients and multiple second weight coefficients.

[0120] In one embodiment, the sixth determination module is specifically used to construct an optimization function about the target weight coefficient based on the range maximization method; establish constraints on the target weight coefficient based on multiple first weight coefficients and multiple second weight coefficients; and determine the target weight coefficient of the electricity spot market under multiple market operation quality indicators based on the optimization function and the constraints.

[0121] In one embodiment, the plurality of market operation quality indicators include evaluation indicators corresponding to market structure dimension, market behavior dimension and market performance dimension.

[0122] Each module in the above-mentioned power spot market evaluation device can be implemented in whole or in part by software, hardware and a combination thereof. Each of the above-mentioned modules can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute the operations corresponding to each of the above modules.

[0123] In an exemplary embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps of any of the above method embodiments when executing the computer program.

[0124] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps of any of the above method embodiments are implemented.

[0125] In one embodiment, a computer program product is provided, including a computer program, which implements the steps of any of the above method embodiments when executed by a processor.

[0126] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0127] A person of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment method can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, an artificial intelligence (AI) processor, etc., but are not limited to this.

[0128] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0129] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A method for evaluating the electricity spot market, characterized in that: The method comprises: Obtaining the power spot market data to be evaluated in the power spot market; Based on the SCP theory and the power spot market data to be evaluated, determining target indicator values ​​of the power spot market under multiple market operation quality indicators; According to the target weight coefficient of each of the market operation quality indicators and the target indicator value, a market operation quality evaluation value of the electricity spot market is obtained.

2. The method according to claim 1, characterized in that The method of determining target indicator values ​​of the power spot market under multiple market operation quality indicators based on the SCP theory and the power spot market data to be evaluated includes: Correcting the electricity spot market data to be evaluated to obtain corrected electricity spot market data; Based on the SCP theory and the corrected power spot market data, initial index values ​​of the power spot market under multiple market operation quality indicators are obtained; The initial indicator values ​​under the multiple market operation quality indicators are standardized to obtain the target indicator values.

3. The method according to claim 2, characterized in that The correcting the to-be-evaluated power spot market data to obtain the corrected power spot market data includes: Correct the data to be corrected in each type of electricity spot market data group to obtain the corrected electricity spot market data; wherein the electricity spot market data to be evaluated includes the electricity spot market data groups of each type, the data to be corrected includes abnormal data and / or missing data, and the abnormal data includes data in the electricity spot market data group whose difference with the mean of the electricity spot market data group is greater than a preset threshold.

4. The method according to claim 1, characterized in that: The method further comprises: Obtaining sample electricity spot market data of the electricity spot market; Based on the SCP theory and the sample power spot market data, sample indicator values ​​of the power spot market under multiple market operation quality indicators are obtained; Based on the analytic hierarchy process and the sample index values, a first weight coefficient of the power spot market under multiple market operation quality indicators is obtained; Based on the CRITIC analysis method and the sample indicator values, a second weight coefficient of the power spot market under multiple market operation quality indicators is obtained; According to the plurality of the first weight coefficients and the plurality of the second weight coefficients, the target weight coefficients of the electricity spot market under the plurality of market operation quality indicators are obtained.

5. The method according to claim 4, characterized in that The step of obtaining target weight coefficients of the power spot market under multiple market operation quality indicators according to the multiple first weight coefficients and the multiple second weight coefficients includes: Constructing an optimization function for the target weight coefficient based on the range maximization method; Establishing a constraint condition of the target weight coefficient according to the plurality of the first weight coefficients and the plurality of the second weight coefficients; According to the optimization function and the constraint conditions, target weight coefficients of the electricity spot market under multiple market operation quality indicators are determined.

6. The method according to claim 1, characterized in that The multiple market operation quality indicators include evaluation indicators corresponding to the market structure dimension, market behavior dimension and market performance dimension.

7. An electricity spot market evaluation device, characterized in that: The device comprises: A first acquisition module is used to acquire the power spot market data to be evaluated in the power spot market; A first determination module is used to determine the target indicator values ​​of the power spot market under multiple market operation quality indicators based on the SCP theory and the power spot market data to be evaluated; The second determination module is used to obtain the market operation quality evaluation value of the power spot market according to the target weight coefficient of each market operation quality indicator and the target indicator value.

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

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

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

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