Abnormal identification method and device for standby clearing price of power grid operation and computer equipment

Abstract

The invention relates to a power grid operation standby clearing price abnormity identification method, a power grid operation standby clearing price abnormity identification device and computer equipment, and the method comprises the steps: obtaining electric quantity transaction data and power grid operation standby transaction data in a preset time period; and then, according to the electric quantity transaction data and the power grid operation standby transaction data, determining a power supply-demand ratio and a comprehensive clearing average price of each operation day in a preset time period, and finally, according to the power supply-demand ratio and the comprehensive clearing average price, carrying out anomaly identification on the power grid operation standby clearing price to obtain a target identification result. According to the method, by comprehensively considering the coupling characteristics of the electric quantity transaction and the power grid operation standby transaction, the influence effect of the electric quantity transaction on the power grid operation standby transaction can be eliminated, the operation state of the electric power market can be analyzed more comprehensively, and then the abnormal recognition accuracy of the power grid operation standby clearing price can be improved.

Description

Technical Field

[0001] The present application relates to the technical field of power market, and in particular to a method, device and computer equipment for identifying abnormalities in power grid operation reserve clearing prices. Background Art

[0002] With the rapid development of power market construction, power grid operation reserve is a key auxiliary service for power grid dispatching and operation. More and more regions have established power grid operation reserve markets because of its advantages of timely dispatching reserve resources, maintaining power balance of power generation and supply, and improving the flexibility and response speed of the power grid. In order to ensure the stable operation of the power market, it is very important to effectively monitor the clearing price of the power grid operation reserve market.

[0003] At present, when anomalies in the clearing price of power grid operation reserve are identified, it is usually based on the historical data of the clearing price of the power grid operation reserve market, and the clearing prices under different power grid operation reserve capacity demands are analyzed to identify anomalies in the clearing price of the power grid operation reserve.

[0004] However, the above-mentioned method for identifying anomalies in the power grid operation reserve clearing price has the problem of inaccuracy. Summary of the invention

[0005] Based on this, it is necessary to provide a method, device and computer equipment for identifying abnormalities in power grid operation reserve clearing prices that can improve identification accuracy in response to the above technical problems.

[0006] In a first aspect, the present application provides a method for identifying anomalies in a power grid operation reserve clearing price, the method being applied to a power trading system, the method comprising:

[0007] Obtaining power transaction data of the power market within a preset time period; the power transaction data includes power transaction data and power grid operation standby transaction data;

[0008] Determine the power supply-demand ratio and the comprehensive average clearing price for each operating day within a preset time period based on the power transaction data and the grid operation reserve transaction data;

[0009] According to the power supply-demand ratio and the comprehensive average clearing price, the abnormality of the power grid operation reserve clearing price is identified to obtain the target identification result.

[0010] In one embodiment, the power grid operation reserve clearing price is abnormally identified based on the power supply-demand ratio and the comprehensive clearing average price, and a target identification result is obtained, including:

[0011] Determine the reference value of the comprehensive clearing average price based on the distribution range of the power supply-demand ratio;

[0012] According to the comprehensive clearing average price reference value and the comprehensive clearing average price, the power grid operation reserve clearing price is identified for abnormality and the target identification result is obtained.

[0013] In one embodiment, determining a comprehensive average clearing price reference value according to the distribution range of the power supply-demand ratio includes:

[0014] Divide the distribution range of the power supply-demand ratio into multiple intervals, and determine the comprehensive average clearing price in each interval;

[0015] The mode of the comprehensive clearing average price in each interval is determined as the reference value of the comprehensive clearing average price.

[0016] In one embodiment, the power grid operation reserve clearing price is abnormally identified based on the comprehensive clearing average price reference value and the comprehensive clearing average price to obtain a target identification result, including:

[0017] Determine whether the comprehensive clearing average price is abnormal based on the comprehensive clearing average price reference value and the comprehensive clearing average price;

[0018] If it is determined that the average comprehensive clearing price is in a normal state, then it is determined that the target identification result indicates that the grid operation reserve clearing price is in a normal state;

[0019] If it is determined that the comprehensive average clearing price is in an abnormal state, the electricity clearing price is identified based on the electricity trading data to obtain a first identification result, and the grid operation standby clearing price is abnormally identified based on the first identification result to obtain a target identification result.

[0020] In one embodiment, the electricity clearing price is identified according to the electricity transaction data to obtain a first identification result, including:

[0021] According to the electricity transaction data, determine the electricity supply-demand ratio and the average electricity clearing price for each operating day within the preset time period, and determine the reference value of the average electricity clearing price according to the distribution range of the electricity supply-demand ratio;

[0022] If the electricity clearing price meets the threshold requirement of the electricity clearing average price reference value, determining that the first identification result indicates that the electricity clearing price is in a normal state;

[0023] If the electricity-clearing price does not meet the threshold requirement of the electricity-clearing average price reference value, it is determined that the first identification result indicates that the electricity-clearing price is in an abnormal state.

[0024] In one embodiment, an abnormality identification is performed on the power grid operation reserve clearing price according to the first identification result to obtain a target identification result, including:

[0025] If the first identification result indicates that the electricity clearing price is in a normal state, then determining that the target identification result indicates that the grid operation reserve clearing price is in an abnormal state;

[0026] If the first identification result indicates that the electricity clearing price is in an abnormal state, the power grid operation reserve clearing price is identified according to the power grid operation reserve transaction data to obtain a target identification result.

[0027] In one embodiment, the power grid operation reserve clearing price is identified according to the power grid operation reserve transaction data to obtain a target identification result, including:

[0028] Determine the power supply-demand ratio and the power grid operation reserve clearing price for each operation day within a preset time period based on the power grid operation reserve transaction data, and determine the reference value of the power grid operation reserve clearing average price based on the distribution range of the power supply-demand ratio;

[0029] If the grid operation reserve clearing price meets the threshold requirement of the grid operation reserve clearing average price reference value, then it is determined that the target identification result indicates that the grid operation reserve clearing price is in a normal state;

[0030] If the grid operation reserve clearing price does not meet the threshold requirement of the grid operation reserve clearing average price reference value, it is determined that the target identification result indicates that the grid operation reserve clearing price is in an abnormal state.

[0031] In one embodiment, determining the power supply-demand ratio and the comprehensive clearing average price for each operation day within a preset time period according to the power transaction data and the power grid operation standby transaction data includes:

[0032] Determine the power supply and demand ratio based on the power generation capacity declared by market members, power demand and the number of market members when the power supply and demand is the largest in the power transaction data;

[0033] The comprehensive average clearing price is determined based on the electricity clearing price and electricity demand when the electricity supply and demand is maximum in the electricity trading data, as well as the operating reserve clearing price and grid operation reserve capacity demand when the electricity supply and demand is maximum in the grid operation reserve trading data.

[0034] In a second aspect, the present application further provides a device for identifying abnormalities in a power grid operation reserve clearing price, the device comprising:

[0035] An acquisition module is used to acquire power transaction data of the power market within a preset time period; the power transaction data includes power transaction data and power grid operation standby transaction data;

[0036] A determination module, used to determine the power supply-demand ratio and the comprehensive clearing average price for each operating day within a preset time period based on the power transaction data and the power grid operation standby transaction data;

[0037] The identification module is used to identify abnormalities in the power grid operation reserve clearing price based on the power supply-demand ratio and the comprehensive clearing average price, and obtain a target identification result.

[0038] In a third aspect, the present application further provides a computer device, the computer device comprising a memory and a processor, the memory storing a computer program, and the processor implementing the following steps when executing the computer program:

[0039] Obtaining power transaction data of the power market within a preset time period; the power transaction data includes power transaction data and power grid operation standby transaction data;

[0040] Determine the power supply-demand ratio and the comprehensive average clearing price for each operating day within a preset time period based on the power transaction data and the grid operation reserve transaction data;

[0041] According to the power supply-demand ratio and the comprehensive average clearing price, the abnormality of the power grid operation reserve clearing price is identified to obtain the target identification result.

[0042] In a fourth aspect, the present application further provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented:

[0043] Obtaining power transaction data of the power market within a preset time period; the power transaction data includes power transaction data and power grid operation standby transaction data;

[0044] Determine the power supply-demand ratio and the comprehensive average clearing price for each operating day within a preset time period based on the power transaction data and the grid operation reserve transaction data;

[0045] According to the power supply-demand ratio and the comprehensive average clearing price, the abnormality of the power grid operation reserve clearing price is identified to obtain the target identification result.

[0046] In a fifth aspect, the present application further provides a computer program product, the computer program product comprising a computer program, and when the computer program is executed by a processor, the following steps are implemented:

[0047] Obtaining power transaction data of the power market within a preset time period; the power transaction data includes power transaction data and power grid operation standby transaction data;

[0048] Determine the power supply-demand ratio and the comprehensive average clearing price for each operating day within a preset time period based on the power transaction data and the grid operation reserve transaction data;

[0049] According to the power supply-demand ratio and the comprehensive average clearing price, the abnormality of the power grid operation reserve clearing price is identified to obtain the target identification result.

[0050] The above-mentioned method, device and computer equipment for identifying abnormalities in the power grid operation reserve clearing price obtains the electricity transaction data and the power grid operation reserve transaction data within a preset time period, and then determines the power supply and demand ratio and the comprehensive clearing average price of each operating day within the preset time period based on the electricity transaction data and the power grid operation reserve transaction data, and finally identifies abnormalities in the power grid operation reserve clearing price based on the electricity supply and demand ratio and the comprehensive clearing average price to obtain the target identification result. In the above-mentioned method, by comprehensively considering the coupling characteristics of electricity transaction and power grid operation reserve transaction, the influence of electricity transaction on power grid operation reserve transaction can be eliminated, and the operation status of the power market can be analyzed more comprehensively, thereby improving the accuracy of identifying abnormalities in the power grid operation reserve clearing price. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] Figure 1 The internal structure of a computer device in one embodiment;

[0052] Figure 2 A schematic diagram of a flow chart of an abnormality identification method described in an embodiment;

[0053] Figure 3 is a flow chart of an abnormality identification method described in another embodiment;

[0054] Figure 4 is a flow chart of an abnormality identification method described in another embodiment;

[0055] Figure 5 is a flow chart of an abnormality identification method described in another embodiment;

[0056] Figure 6 is a flow chart of an abnormality identification method described in another embodiment;

[0057] Figure 7 is a flow chart of an abnormality identification method described in another embodiment;

[0058] Figure 8 is a flow chart of an abnormality identification method described in another embodiment;

[0059] Fig. 9 is a flow chart of an abnormality identification method described in another embodiment;

[0060] Fig.10 A structural block diagram of an abnormality identification device described in an embodiment. DETAILED DESCRIPTION

[0061] 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.

[0062] Grid operation reserve is an auxiliary service variety necessary for grid dispatching and operation. Its role is to serve as active power reserve of the grid. When there is a power shortage, it can meet the power balance requirements of power generation and supply in a timely manner. In recent years, my country has accelerated the construction of power marketization. Most provincial power grids have built grid operation reserve markets, which has led to the abnormal identification method of grid operation reserve clearing prices. The so-called grid operation reserve market clearing price abnormality identification method is to analyze the grid operation reserve market clearing price and identify abnormal clearing prices. Clearing price abnormality identification is the basis for regulating market transaction behavior, which helps to maintain the order of the power market, promote full market competition, and avoid market monopoly, price manipulation and other problems. With the continuous deepening of power market reform, especially the rapid development of new energy, the demand for grid operation reserve capacity has risen sharply, and market transaction costs have surged. The grid operation reserve clearing price abnormality identification method has received increasing attention. In order to ensure the stable operation of the power market, it is very important to effectively monitor the grid operation reserve market clearing price. At present, when anomalies of the power grid operation reserve clearing price are identified, the anomalies of the power grid operation reserve clearing price are usually identified based on the historical data of the power grid operation reserve market clearing price, and the clearing prices under different power grid operation reserve capacity requirements are analyzed. However, the above-mentioned anomaly identification method of the power grid operation reserve clearing price has the problem of inaccuracy.

[0063] The present application provides a method for identifying anomalies in a power grid operation reserve clearing price, aiming to solve the above-mentioned technical problems. The following embodiments will specifically illustrate the method for identifying anomalies in a power grid operation reserve clearing price described in the present application.

[0064] The abnormal identification method of the power grid operation reserve clearing price provided in the embodiment of the present application can be applied to Figure 1 In the computer device shown, the computer device can be a power trading system or an identification device connected to the power trading system. The computer device can be a terminal or a server, and its internal structure diagram can be as shown in FIG. Figure 1As shown, the computer device includes a processor, a memory, an input / output interface, a communication interface, a display unit and an input device. The processor, the memory and the input / output interface are connected through a system bus, and the communication interface, the display unit and the input device are connected to the system bus through the input / output interface. 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 and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and the external device. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be realized through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. When the computer program is executed by the processor, a method for identifying abnormalities in the reserve clearing price of a power grid operation is realized. The display unit of the computer device is used to form a visually visible picture, which can be a display screen, a projection device or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covering the display screen, or a button, trackball or touchpad set on the computer device shell, or an external keyboard, touchpad or mouse.

[0065] 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.

[0066] In one embodiment, Figure 2 As shown in FIG, a method for identifying abnormalities in the power grid operation reserve clearing price is provided. The method is applied to Figure 1 The computer device in the example is used to illustrate, including the following steps:

[0067] S201, obtaining power transaction data of the power market within a preset time period; the power transaction data includes electricity transaction data and power grid operation standby transaction data.

[0068] The electricity transaction data includes at least one of electricity demand, market member declared price, market member declared power generation capacity and electricity clearing price. The grid operation reserve transaction data includes at least one of operation reserve capacity demand, market member declared price and grid operation reserve clearing price. The preset time period can be expressed in years, months and days. For example, the preset time period is 1 month.

[0069] In the embodiment of the present application, the computer device obtains power transaction data from the power market in real time, and stores the real-time acquired data in a preset path. When it is necessary to identify abnormalities in the power grid operation reserve clearing price, the power transaction data within a preset time period can be obtained from the preset path. Optionally, the computer device directly obtains the power transaction data within a preset period from the power market.

[0070] S202, determining the power supply-demand ratio and the comprehensive average clearing price for each operating day within a preset time period based on the power transaction data and the grid operation standby transaction data.

[0071] Among them, the power supply-demand ratio is used to reflect the supply and demand situation of the power market, and the comprehensive clearing average price is used to reflect the transaction price of the power market.

[0072] In the embodiment of the present application, after the computer device obtains the electricity transaction data and the grid operation standby transaction data based on the above steps, the electricity transaction data and the grid operation standby transaction data can be input into the preset algorithm for analysis to obtain the power supply and demand ratio and the comprehensive clearing average price of each operation day within the preset time period. Optionally, the electricity transaction data and the grid operation standby transaction data can be substituted into the preset function formula for calculation to obtain the electricity supply and demand ratio and the comprehensive clearing average price. Optionally, after obtaining the electricity transaction data and the grid operation standby transaction data, the computer device can pre-process the electricity transaction data and the grid operation standby transaction data, such as performing data cleaning and data alignment processing, to obtain the pre-processed electricity transaction data and the grid operation standby transaction data, and then determine the electricity supply and demand ratio and the comprehensive clearing average price according to the pre-processed electricity transaction data and the grid operation standby transaction data. Specifically, the computer device can determine the electricity supply and demand ratio of each operation day within the preset time period according to the electricity transaction data, and determine the comprehensive clearing average price within the preset time period according to the electricity transaction data and the grid operation standby transaction data.

[0073] Specifically, the above-mentioned "determining the electricity supply and demand ratio and the comprehensive clearing average price for each operating day within a preset time period based on electricity trading data and power grid operation reserve trading data" includes: determining the electricity supply and demand ratio based on the power generation capacity, electricity demand and number of market members declared by market members when the electricity supply and demand is maximum in the electricity trading data; determining the comprehensive clearing average price based on the electricity clearing price and electricity demand when the electricity supply and demand is maximum in the electricity trading data, and based on the operation reserve clearing price and power grid operation reserve capacity demand when the electricity supply and demand is maximum in the power grid operation reserve trading data.

[0074] The power supply-demand ratio can be expressed as:

[0075]

[0076] in, represents the power supply-demand ratio on the operating day, represents the number of market members, It represents the power generation capacity declared by market member g on operation day d. Indicates the maximum power demand on the operating day.

[0077] The average price of electricity clearing can be expressed as:

[0078]

[0079] in, represents the average comprehensive clearing price on the operating day d, t represents the time when the maximum electricity demand occurs on the operating day, represents the electricity demand at time t on the operating day, The reserve capacity requirement of the power grid on the operation day is represents the electricity clearing price at time t on the operating day, It represents the grid operation reserve clearing price at time t on the operation day.

[0080] S203, identifying abnormalities in the power grid operation reserve clearing price based on the power supply-demand ratio and the comprehensive clearing average price, and obtaining a target identification result.

[0081] Among them, the target identification result includes that the backup clearing price is in a normal state or the backup clearing price is in an abnormal state.

[0082] In the embodiment of the present application, after the computer device obtains the power supply-demand ratio and the comprehensive clearing average price based on the above steps, the computer device may first identify the comprehensive clearing average price, and then identify the grid operation reserve clearing price according to the identification result of the comprehensive clearing average price to obtain the target identification result. Optionally, the computer device may first identify the comprehensive clearing average price, and then identify the electric quantity clearing price according to the identification result of the comprehensive clearing average price, and finally identify the electric quantity clearing price according to the identification result of the electric quantity clearing price to perform abnormal identification on the grid operation reserve clearing price to obtain the target identification result. Optionally, the computer device may input the power supply-demand ratio and the comprehensive clearing average price into the identification model for abnormal identification to obtain the identification result.

[0083] The method for identifying anomalies in the power grid operation reserve clearing price provided in the embodiment of the present application obtains the electricity transaction data and the power grid operation reserve transaction data within a preset time period, and then determines the power supply and demand ratio and the comprehensive clearing average price of each operating day within the preset time period based on the electricity transaction data and the power grid operation reserve transaction data, and finally identifies anomalies in the power grid operation reserve clearing price based on the electricity supply and demand ratio and the comprehensive clearing average price to obtain a target identification result. In the above method, by comprehensively considering the coupling characteristics of electricity transaction and power grid operation reserve transaction, the influence of electricity transaction on power grid operation reserve transaction can be eliminated, and the operation status of the power market can be analyzed more comprehensively, thereby improving the accuracy of identifying anomalies in the power grid operation reserve clearing price.

[0084] In one embodiment, a specific implementation method for identifying abnormalities in the power grid operation reserve clearing price based on the power supply-demand ratio and the comprehensive clearing average price is also provided, such as Figure 3 As shown, the above step S203 of "identifying abnormalities in the power grid operation reserve clearing price according to the power supply-demand ratio and the comprehensive clearing average price to obtain a target identification result" includes:

[0085] S301, determining a reference value of the comprehensive clearing average price according to the distribution range of the electricity supply-demand ratio.

[0086] The distribution range of the power supply-demand ratio indicates the range in which the value of the power supply-demand ratio lies.

[0087] In the embodiment of the present application, the computer device may determine the preset range threshold in advance according to the actual demand accuracy requirement, and then after the computer device obtains the power supply-demand ratio, it may determine the distribution range of the power supply-demand ratio according to the power supply-demand ratio and the preset range threshold. For example, if the power supply-demand ratio is 1.3, the distribution range of the power supply-demand ratio may be 1 to 2 or 0 to 3. After obtaining the distribution range of the power supply-demand ratio, the computer device may determine the comprehensive clearing average price reference value according to the power supply-demand ratio within the distribution range of the power supply-demand ratio.

[0088] Specifically, Figure 4 As shown, the above step S301 of “determining the reference value of the comprehensive clearing average price according to the distribution range of the power supply-demand ratio” includes:

[0089] S3011, divide the distribution range of the electricity supply-demand ratio into multiple intervals, and determine the comprehensive average clearing price in each interval.

[0090] The number of intervals is determined by the accuracy, and the number of intervals is greater than a preset value. For example, in order to more accurately evaluate the changes in the average comprehensive clearing price under different electricity supply and demand levels, the number of intervals is ≥10.

[0091] In an embodiment of the present application, after obtaining the distribution range of the electricity supply and demand ratio, the computer device can divide the distribution range of the electricity supply and demand ratio into a preset number of multiple intervals, and then determine the comprehensive clearing average price corresponding to each interval based on the electricity transaction data and the power grid operation standby transaction data within the interval, that is, the comprehensive clearing average price under different electricity supply and demand ratios is obtained.

[0092] S3012, determine the mode of the comprehensive average clearing price in each interval as the reference value of the comprehensive average clearing price.

[0093] In the embodiment of the present application, after the computer device obtains the comprehensive clearing average price in each interval based on the above steps, the mode of the comprehensive clearing average price in each interval can be determined as the comprehensive clearing average price reference value. Specifically, the distribution range of the power supply and demand ratio is divided into n intervals, and the mode of the comprehensive clearing average price in each interval is used as the comprehensive clearing average price reference value of the interval, that is, the overall trend evaluation value of the electricity clearing price and the grid operation reserve clearing price under the power supply and demand level, which can be expressed as:

[0094]

[0095] in, It represents the comprehensive average clearing price reference value of n intervals, It is expressed as the upper limit of the comprehensive average clearing price in n intervals, It is expressed as the lower limit of the comprehensive average clearing price in n intervals, It is the mode function of the comprehensive average clearing price on the operating day d of the n intervals.

[0096] S302, identifying abnormalities in the power grid operation reserve clearing price based on the comprehensive clearing average price reference value and the comprehensive clearing average price, and obtaining a target identification result.

[0097] In an embodiment of the present application, after obtaining the comprehensive clearing average price reference value and the comprehensive clearing average price, the computer device can compare the comprehensive clearing average price reference value and the comprehensive clearing average price to obtain a comparison result, and then determine the target identification result based on the comparison result.

[0098] In one embodiment, specifically, Figure 5 As shown, the above step S302 of "identifying abnormalities in the power grid operation reserve clearing price according to the comprehensive clearing average price reference value and the comprehensive clearing average price to obtain a target identification result" includes:

[0099] S401, determine whether the comprehensive clearing average price is abnormal based on the comprehensive clearing average price reference value and the comprehensive clearing average price.

[0100] In the embodiment of the present application, after the computer device obtains the comprehensive clearing average price reference value and the comprehensive clearing average price, it can determine whether the comprehensive clearing average price exceeds the threshold requirement of the comprehensive clearing average price reference value. If it exceeds, it is determined that the comprehensive clearing average price is in an abnormal state. If it does not exceed, it is determined that the comprehensive clearing average price is in a normal state. For example, if the deviation between the comprehensive clearing average price and the corresponding comprehensive clearing average price reference value exceeds a given threshold, there is an abnormality. If it does not exceed, it indicates that the electricity transaction and the grid operation standby transaction as a whole meet the historical electricity supply and demand change characteristics and there is no abnormality. The above judgment conditions can be expressed as:

[0101]

[0102] in, represents the comprehensive average clearing price, It represents the reference value of the comprehensive average clearing price. represents the power supply-demand ratio, represents the absolute value function, It indicates the comprehensive average clearing price determination threshold given by market operators, which generally does not exceed 5%.

[0103] S402, if it is determined that the comprehensive average clearing price is in a normal state, then it is determined that the target identification result indicates that the grid operation reserve clearing price is in a normal state.

[0104] In the embodiment of the present application, when the computer device determines based on the above steps that the comprehensive clearing average price is in a normal state, it determines that the target identification result indicates that the power grid operation standby clearing price is in a normal state.

[0105] S403, if it is determined that the comprehensive average clearing price is in an abnormal state, the electricity clearing price is identified according to the electricity transaction data to obtain a first identification result, and the power grid operation reserve clearing price is abnormally identified according to the first identification result to obtain a target identification result.

[0106] In the embodiment of the present application, when the computer device determines based on the above steps that the comprehensive clearing average price is in an abnormal state, the power clearing price is identified according to the power transaction data to obtain a first identification result, and the power grid operation reserve clearing price is abnormally identified according to the first identification result to obtain a target identification result.

[0107] Specifically, Figure 6 As shown, the above “identifying the electricity clearing price according to the electricity transaction data to obtain a first identification result” includes:

[0108] S501, determining the electricity supply-demand ratio and the average electricity clearing price of each operating day within a preset time period based on electricity transaction data, and determining a reference value of the average electricity clearing price based on the distribution range of the electricity supply-demand ratio.

[0109] In an embodiment of the present application, when the computer device determines that the comprehensive clearing average price is in an abnormal state, it can determine the electricity supply and demand ratio and the average electricity clearing price for each operating day within a preset time period based on the electricity trading data, and determine the reference value of the average electricity clearing price based on the distribution range of the electricity supply and demand ratio.

[0110] Specifically, although electricity trading is closely coupled with grid operation reserve trading, grid operation reserve trading mainly affects the clearing results at the most tense moment of electricity supply and demand during the entire operation day, and the overall price level of electricity trading is determined by the level of electricity supply and demand throughout the day. Market members adjust their own electricity declaration strategies based on their own market forecasts. Under full competition, the price of electricity trading should change with the level of electricity supply and demand and fluctuate with the declaration strategy.

[0111] (1) The power supply-demand ratio can be expressed as:

[0112]

[0113] in, Indicates the power supply-demand ratio on the operating day, represents the number of market members, It indicates the maximum power generation corresponding to the power generation capacity declared by market member g on operation day d. Indicates the daily power demand.

[0114] (2) The average price of electricity clearing can be expressed as:

[0115]

[0116] In the formula, represents the average price of electricity clearing on the operating day, Indicates the number of optimization periods on each operating day, Indicates the optimization time interval for each running day.

[0117] (3) The reference value of the average electricity clearing price can be expressed as follows: Under a fully competitive market, market members will adjust the electricity market declaration strategy and the grid operation reserve market declaration strategy according to electricity demand. However, the average electricity market clearing price should be determined by the overall supply and demand relationship of electricity. According to the distribution of the electricity supply and demand ratio, it is divided into N intervals within its distribution range, and the mode of the average electricity clearing price in each interval is used as the reference value of the average electricity clearing price in that interval, that is, the overall trend evaluation value of the electricity clearing price under the electricity supply and demand level, which can be expressed as:

[0118]

[0119] In the formula, It represents the average price reference value of electricity clearing in n intervals, Indicates the upper limit of the average price of electricity clearing in n intervals, It is expressed as the lower limit of the average price of electricity clearing in n intervals, Represents the mode function of the average electricity clearing price on operating day d of n intervals.

[0120] S502: If the average electricity-clearing price meets the threshold requirement of the average electricity-clearing price reference value, it is determined that the first identification result indicates that the electricity-clearing price is in a normal state.

[0121] In the embodiment of the present application, after obtaining the average electricity clearing price and the average electricity clearing price reference value, the computer device can determine whether the average electricity clearing price meets the threshold requirement of the average electricity clearing price reference value. If so, it is determined that the first identification result indicates that the electricity clearing price is in a normal state. For example, if the deviation between the average electricity clearing price and the corresponding average electricity clearing price reference value does not exceed a given threshold, it indicates that the electricity transaction meets the historical electricity supply and demand change characteristics and there is no abnormality. The above judgment conditions can be expressed as:

[0122]

[0123] In the formula, Indicates the average price of electricity clearing, Indicates the average price reference value of electricity clearing. Represents the power supply-demand ratio, represents the absolute value function, It indicates the threshold for determining the average electricity clearing price given by market operators, which generally does not exceed 5%.

[0124] S503: If the electricity clearing price does not meet the threshold requirement of the electricity clearing average price reference value, it is determined that the first identification result indicates that the electricity clearing price is in an abnormal state.

[0125] In the embodiment of the present application, if the electricity clearing price does not meet the threshold requirement of the electricity clearing average price reference value, it is determined that the first identification result indicates that the electricity clearing price is in an abnormal state. That is, if the deviation between the electricity clearing average price and the corresponding electricity clearing average price reference value exceeds a given threshold, an abnormality exists.

[0126] Specifically, Figure 7 As shown, the above “performing abnormal identification on the power grid operation reserve clearing price according to the first identification result to obtain the target identification result” includes:

[0127] S601, if the first recognition result indicates that the electricity clearing price is in a normal state, then determining that the target recognition result indicates that the power grid operation reserve clearing price is in an abnormal state.

[0128] In the embodiment of the present application, when the computer device determines that the electricity clearing price is in a normal state based on the above steps, it determines that the target identification result indicates that the power grid operation standby clearing price is in an abnormal state.

[0129] S602: If the first identification result indicates that the electricity clearing price is in an abnormal state, the power grid operation reserve clearing price is identified according to the power grid operation reserve transaction data to obtain a target identification result.

[0130] In an embodiment of the present application, when the computer device determines based on the above steps that the electricity clearing price is in an abnormal state, similarly, the power grid operation standby clearing price is identified according to the power grid operation standby transaction data to obtain a target identification result.

[0131] Specifically, Figure 8 As shown, the above “identifying the power grid operation reserve clearing price according to the power grid operation reserve transaction data to obtain the target identification result” includes:

[0132] S701, based on the grid operation reserve transaction data, determine the power supply and demand ratio and the grid operation reserve clearing average price of each operating day within a preset time period, and determine the reference value of the grid operation reserve clearing average price based on the distribution range of the power supply and demand ratio.

[0133] In an embodiment of the present application, when the computer device determines that the electricity clearing price is in an abnormal state, it can determine the electricity supply and demand ratio and the average grid operation standby clearing price for each operating day within a preset time period based on the grid operation standby transaction data, and determine the reference value of the average grid operation standby clearing price based on the distribution range of the electricity supply and demand ratio.

[0134] Specifically, the abnormal comprehensive clearing price indicates that the overall clearing price level of electricity trading and grid operation reserve trading does not match the electricity supply and demand relationship, while the electricity clearing price is in line with the electricity supply and demand relationship. The reasons for the above problems may be the mismatch between electricity demand and electricity supply and demand, and there may be abnormal clearing prices in the grid operation reserve market. For this reason, the electricity supply and demand ratio indicator is used to evaluate the abnormal clearing price of grid operation reserve.

[0135] (1) The power supply-demand ratio can be expressed as:

[0136]

[0137] in, Indicates the power supply and demand ratio on the operating day.

[0138] (2) The reference value of the average price of grid operation reserve clearing can be expressed as follows: Under a fully competitive market, market members will adjust the electricity market declaration strategy and the grid operation reserve market declaration strategy according to electricity demand. Taking into account the mismatch between electricity demand and electricity demand, there is a situation where the average electricity clearing price does not match the comprehensive clearing average price. To this end, the change in the grid operation reserve clearing price under the change of the power supply and demand ratio is evaluated. According to the distribution of the power supply and demand ratio, it is divided into N intervals within its distribution range, and the mode of the average grid operation reserve clearing price in each interval is used as the reference value of the average grid operation reserve clearing price in that interval, that is, the overall trend evaluation value of the electricity clearing price under the power supply and demand level, which can be expressed as:

[0139]

[0140] In the formula, represents the average reference value of the power grid operation reserve clearing price in n intervals, represents the upper limit of the average price of power grid operation reserve clearing in n intervals, It is expressed as the lower limit of the average price of power grid reserve clearing in n intervals, It represents the mode function of the average price of grid operation reserve clearing on operation day d in n intervals.

[0141] S702: If the average power grid operation reserve clearing price meets the threshold requirement of the reference value of the average power grid operation reserve clearing price, it is determined that the target identification result indicates that the power grid operation reserve clearing price is in a normal state.

[0142] In the embodiment of the present application, after obtaining the average price of the grid operation reserve clearing and the reference value of the average price of the grid operation reserve clearing, the computer device can determine whether the average price of the grid operation reserve clearing meets the threshold requirement of the reference value of the grid operation reserve clearing. If it does, it is determined that the target identification result indicates that the grid operation reserve clearing price is in a normal state. For example, if the deviation between the average price of the grid operation reserve clearing and the corresponding reference value of the average price of the grid operation reserve clearing does not exceed a given threshold, it indicates that the grid operation reserve clearing price is in line with the supply and demand relationship of electric power and there is no abnormality. The above judgment conditions can be expressed as:

[0143]

[0144] In the formula, represents the average price of power grid operation reserve clearing, It represents the average reference value of the power grid operation reserve clearing price, Indicates the power supply-demand ratio, is the absolute value function, The threshold for determining the average price of electricity clearing given by market operators generally does not exceed 5%.

[0145] S703, if the grid operation reserve clearing price does not meet the threshold requirement of the grid operation reserve clearing average price reference value, it is determined that the target identification result indicates that the grid operation reserve clearing price is in an abnormal state.

[0146] In the embodiment of the present application, if the grid operation reserve clearing price does not meet the threshold requirement of the grid operation reserve clearing average price reference value, it is determined that the target identification result indicates that the grid operation reserve clearing price is in an abnormal state. That is, if the deviation between the grid operation reserve clearing average price and the corresponding grid operation reserve clearing average price reference value exceeds a given threshold, it is determined that the grid operation reserve clearing price is abnormal.

[0147] Combining all the above embodiments, Fig. 9 As shown, a method for identifying anomalies in a power grid operation reserve clearing price is also provided, the method comprising:

[0148] S801, obtaining power transaction data of the power market within a preset time period. The power transaction data includes power transaction data and grid operation standby transaction data.

[0149] S802, determining the power supply and demand ratio according to the power generation capacity declared by the market members, the power demand and the number of market members when the power supply and demand is the largest in the power transaction data.

[0150] S803, determining a comprehensive average clearing price based on the electricity clearing price and electricity demand when the electricity supply and demand are maximum in the electricity trading data, and based on the operation reserve clearing price and grid operation reserve capacity demand when the electricity supply and demand are maximum in the grid operation reserve trading data.

[0151] S804, dividing the distribution range of the electricity supply-demand ratio into multiple intervals, and determining the comprehensive average clearing price in each interval.

[0152] S805, determining the mode of the comprehensive average clearing price in each interval as the reference value of the comprehensive average clearing price.

[0153] S806, determining whether the comprehensive clearing average price is abnormal based on the comprehensive clearing average price reference value and the comprehensive clearing average price.

[0154] S807, if it is determined that the comprehensive average clearing price is in a normal state, then it is determined that the target identification result indicates that the grid operation reserve clearing price is in a normal state.

[0155] S808: If it is determined that the comprehensive average clearing price is in an abnormal state, the electricity supply and demand ratio of each operating day within the preset time period is determined based on the electricity transaction data, and the reference value of the average electricity clearing price is determined based on the distribution range of the electricity supply and demand ratio.

[0156] S809: If the electricity clearing price meets the threshold requirement of the electricity clearing average price reference value, it is determined that the first identification result indicates that the electricity clearing price is in a normal state.

[0157] S810, if the electricity clearing price does not meet the threshold requirement of the average electricity clearing price reference value, then it is determined that the first identification result indicates that the electricity clearing price is in an abnormal state; if the first identification result indicates that the electricity clearing price is in a normal state, then it is determined that the target identification result indicates that the grid operation standby clearing price is in an abnormal state.

[0158] S811, if the first identification result indicates that the electricity clearing price is in an abnormal state, then the electricity supply and demand ratio of each operating day within the preset time period is determined based on the grid operation standby transaction data, and the reference value of the grid operation standby clearing average price is determined based on the distribution range of the electricity supply and demand ratio.

[0159] S812, if the grid operation reserve clearing price meets the threshold requirement of the grid operation reserve clearing average price reference value, then determining that the target identification result indicates that the grid operation reserve clearing price is in a normal state.

[0160] S813, if the grid operation reserve clearing price does not meet the threshold requirement of the grid operation reserve clearing average price reference value, it is determined that the target identification result indicates that the grid operation reserve clearing price is in an abnormal state.

[0161] The method described in the embodiment of the present application, by fully considering the coupling characteristics between the quantity of electricity and the grid operation reserve, determines whether there are overall abnormalities in the quantity of electricity clearing price and the grid operation reserve clearing price through the distribution characteristics of the power supply and demand ratio; for the overall abnormal situation, further determines whether there are abnormalities in the quantity of electricity clearing price through the distribution characteristics of the quantity of electricity supply and demand ratio; finally, through the distribution characteristics of the grid operation reserve clearing price under the power supply and demand ratio, determines the abnormal situation of the comprehensive clearing price and the grid operation reserve clearing price under the abnormal quantity of electricity clearing price. This implementation method can fully consider the coupling characteristics of quantity of electricity trading and grid operation reserve trading, is easy to implement, and helps to improve the accuracy of determining the abnormality of the grid operation reserve trading price.

[0162] The methods described in the above steps are all described in the above embodiments. Please refer to the above description for details and will not be repeated here.

[0163] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned 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 does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can 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 to be 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.

[0164] Based on the same inventive concept, the embodiment of the present application also provides a device for identifying abnormalities of power grid operation reserve clearing prices for implementing the above-mentioned method for identifying abnormalities of power grid operation reserve clearing prices. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above-mentioned method, so the specific limitations in the embodiments of one or more devices for identifying abnormalities of power grid operation reserve clearing prices provided below can be referred to the limitations of the method for identifying abnormalities of power grid operation reserve clearing prices above, and will not be repeated here.

[0165] In one embodiment, Fig.10 As shown, a device for identifying abnormality of power grid operation reserve clearing price is provided, comprising:

[0166] The acquisition module 11 is used to acquire the power transaction data of the power market within a preset time period; the power transaction data includes the power transaction data and the power grid operation standby transaction data;

[0167] A determination module 12 is used to determine the power supply-demand ratio and the comprehensive clearing average price of each operating day within a preset time period according to the power transaction data and the power grid operation standby transaction data;

[0168] The identification module 13 is used to identify abnormalities in the power grid operation reserve clearing price according to the power supply-demand ratio and the comprehensive clearing average price, and obtain a target identification result.

[0169] In one embodiment, the identification module 13 is used to divide the distribution range of the power supply-demand ratio into multiple intervals and determine the comprehensive clearing average price in each interval;

[0170] The mode of the comprehensive clearing average price in each interval is determined as the reference value of the comprehensive clearing average price.

[0171] In one embodiment, the above-mentioned identification module 13 is used to determine whether the comprehensive clearing average price is abnormal based on the comprehensive clearing average price reference value and the comprehensive clearing average price; if it is determined that the comprehensive clearing average price is in a normal state, then it is determined that the target identification result indicates that the power grid operation standby clearing price is in a normal state; if it is determined that the comprehensive clearing average price is in an abnormal state, then the electricity clearing price is identified based on the electricity transaction data to obtain a first identification result, and the power grid operation standby clearing price is abnormally identified based on the first identification result to obtain a target identification result.

[0172] In one embodiment, the above-mentioned identification module 13 is used to determine the electricity supply-demand ratio of each operating day within a preset time period based on the electricity trading data, and determine the reference value of the average electricity clearing price based on the distribution range of the electricity supply-demand ratio; if the electricity clearing price meets the threshold requirement of the average electricity clearing price reference value, then it is determined that the first identification result indicates that the electricity clearing price is in a normal state; if the electricity clearing price does not meet the threshold requirement of the average electricity clearing price reference value, then it is determined that the first identification result indicates that the electricity clearing price is in an abnormal state.

[0173] In one embodiment, the above-mentioned identification module 13 is used to determine that the target identification result indicates that the power grid operation reserve clearing price is in an abnormal state if the first identification result indicates that the electricity clearing price is in a normal state; if the first identification result indicates that the electricity clearing price is in an abnormal state, the power grid operation reserve clearing price is identified according to the power grid operation reserve transaction data to obtain the target identification result.

[0174] In one embodiment, the above-mentioned identification module 13 is used to determine the power supply and demand ratio of each operating day within a preset time period based on the power grid operation standby transaction data, and determine the power grid operation standby clearing average price reference value based on the distribution range of the power supply and demand ratio; if the power grid operation standby clearing price meets the threshold requirement of the power grid operation standby clearing average price reference value, then it is determined that the target identification result indicates that the power grid operation standby clearing price is in a normal state; if the power grid operation standby clearing price does not meet the threshold requirement of the power grid operation standby clearing average price reference value, then it is determined that the target identification result indicates that the power grid operation standby clearing price is in an abnormal state.

[0175] In one embodiment, the above-mentioned determination module 12 is used to determine the electricity supply and demand ratio based on the power generation capacity, electricity demand and number of market members declared by market members when the electricity supply and demand is maximum in the electricity trading data; determine the comprehensive clearing average price based on the electricity clearing price and electricity demand when the electricity supply and demand is maximum in the electricity trading data, and based on the operating reserve clearing price and power grid operating reserve capacity demand when the electricity supply and demand is maximum in the power grid operation reserve trading data.

[0176] Each module in the above-mentioned abnormal identification device for the power grid operation reserve clearing price 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.

[0177] In one embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the steps of the method for identifying anomalies in the power grid operation reserve clearing price described in any of the above embodiments are implemented.

[0178] 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 the method for identifying anomalies in the power grid operation reserve clearing price described in any of the above embodiments are implemented.

[0179] In one embodiment, a computer program product is provided, comprising a computer program, which, when executed by a processor, implements the steps of the method for identifying anomalies in power grid operation reserve clearing prices as described in any of the above embodiments.

[0180] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods 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 this application can include at least one of non-volatile 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), magnetoresistive 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, etc., but are not limited to this.

[0181] 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 specification.

[0182] 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 identifying abnormalities in power grid operation reserve clearing prices, characterized in that: The method is applied to an electric power trading system, and the method comprises: Acquiring power transaction data of the power market within a preset time period; the power transaction data includes power transaction data and power grid operation standby transaction data; Determine the power supply-demand ratio and the comprehensive clearing average price for each operation day within the preset time period according to the power transaction data and the power grid operation standby transaction data; The power grid operation reserve clearing price is abnormally identified according to the power supply-demand ratio and the comprehensive average clearing price to obtain a target identification result.

2. The method according to claim 1, characterized in that The abnormal identification of the power grid operation reserve clearing price according to the power supply-demand ratio and the comprehensive clearing average price to obtain a target identification result includes: Determine a reference value of the comprehensive clearing average price according to the distribution range of the power supply-demand ratio; The power grid operation standby clearing price is abnormally identified based on the comprehensive clearing average price reference value and the comprehensive clearing average price to obtain a target identification result.

3. The method according to claim 1 or 2, characterized in that: Determining the reference value of the comprehensive clearing average price according to the distribution range of the power supply-demand ratio includes: Dividing the distribution range of the power supply-demand ratio into a plurality of intervals, and determining a comprehensive average clearing price within each of the intervals; The mode of the comprehensive clearing average prices within each of the intervals is determined as the comprehensive clearing average price reference value.

4. The method according to claim 2, characterized in that: The abnormal identification of the power grid operation reserve clearing price according to the comprehensive clearing average price reference value and the comprehensive clearing average price to obtain a target identification result includes: Determining whether the comprehensive clearing average price is abnormal based on the comprehensive clearing average price reference value and the comprehensive clearing average price; If it is determined that the comprehensive average clearing price is in a normal state, then determining that the target identification result indicates that the grid operation reserve clearing price is in a normal state; If it is determined that the comprehensive average clearing price is in an abnormal state, the electricity clearing price is identified according to the electricity transaction data to obtain a first identification result, and the grid operation standby clearing price is abnormally identified according to the first identification result to obtain a target identification result.

5. The method according to claim 4, characterized in that The step of identifying the electricity clearing price according to the electricity transaction data to obtain a first identification result includes: Determine the power supply-demand ratio and the average power clearing price of each operating day within the preset time period according to the power transaction data, and determine the reference value of the average power clearing price according to the distribution range of the power supply-demand ratio; If the electricity clearing price meets the threshold requirement of the electricity clearing average price reference value, determining that the first identification result indicates that the electricity clearing price is in a normal state; If the electricity-clearing price does not meet the threshold requirement of the electricity-clearing average price reference value, it is determined that the first identification result indicates that the electricity-clearing price is in an abnormal state.

6. The method according to claim 4 or 5, characterized in that: The step of performing abnormal identification on the power grid operation reserve clearing price according to the first identification result to obtain a target identification result includes: If the first identification result indicates that the electricity clearing price is in a normal state, determining that the target identification result indicates that the grid operation reserve clearing price is in an abnormal state; If the first identification result indicates that the electricity clearing price is in an abnormal state, the power grid operation standby clearing price is identified according to the power grid operation standby transaction data to obtain a target identification result.

7. The method according to claim 6, characterized in that The identifying the power grid operation reserve clearing price according to the power grid operation reserve transaction data to obtain a target identification result includes: Determine the power supply-demand ratio and the power grid operation reserve clearing price of each operation day within the preset time period according to the power grid operation reserve transaction data, and determine the reference value of the power grid operation reserve clearing average price according to the distribution range of the power supply-demand ratio; If the grid operation reserve clearing price meets the threshold requirement of the grid operation reserve clearing average price reference value, determining that the target identification result indicates that the grid operation reserve clearing price is in a normal state; If the grid operation reserve clearing price does not meet the threshold requirement of the grid operation reserve clearing average price reference value, then determining that the target identification result indicates that the grid operation reserve clearing price is in an abnormal state.

8. The method according to claim 1, characterized in that The determining of the power supply-demand ratio and the comprehensive clearing average price of each operation day within the preset time period according to the power transaction data and the power grid operation standby transaction data includes: Determining the electricity supply-demand ratio according to the power generation capacity, electricity demand and number of market members declared by the market members when the electricity supply and demand is the largest in the electricity transaction data; The comprehensive average clearing price is determined based on the electricity clearing price when the electricity supply and demand is maximum in the electricity trading data and the electricity demand, and based on the operation reserve clearing price when the electricity supply and demand is maximum in the power grid operation reserve trading data and the power grid operation reserve capacity demand.

9. A device for identifying abnormalities in power grid operation reserve clearing prices, characterized in that: The device comprises: An acquisition module is used to acquire power transaction data of the power market within a preset time period; the power transaction data includes power transaction data and power grid operation standby transaction data; A determination module, configured to determine the power supply-demand ratio and the comprehensive clearing average price of each operation day within the preset time period according to the power transaction data and the power grid operation standby transaction data; The identification module is used to identify abnormalities in the power grid operation standby clearing price according to the power supply-demand ratio and the comprehensive clearing average price to obtain a target identification result.

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

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