Quantitative evaluation method for secondary frequency modulation benefit of pumped storage power station and related product

Abstract

The invention discloses a quantitative evaluation method for secondary frequency modulation benefits of a pumped storage power station and related products. In the method, a power difference average value, a power difference standard deviation, penalty electric quantity, adjustment mileage and power delay time are used as evaluation indexes of the secondary frequency modulation performance of the pumped storage power station; the index set comprehensively considers generator set frequency modulation performance assessment policies implemented by the State Energy Administration East China Energy Supervision Office, American PJM power market performance and wide application experience in different regions in the world, covers existing indexes of different operation specifications of the State Grid of China, and improves the comprehensiveness and typical representativeness of evaluation results. When the secondary frequency modulation performance score of the pumped storage power station is determined according to the degradation degree, through the steps of constructing an index judgment matrix, calculating the index degradation degree, performing fuzzy judgment on a vector and the like, the thinking judgment process can be mathematized, the objectivity of a result is ensured through fuzzy processing, the structure is rigorous, the flexibility is good, and deviation of the overall evaluation result is avoided.

Description

Technical Field

[0001] The present application relates to the technical field of power system data processing, and in particular to a quantitative evaluation method for the secondary frequency regulation benefit of a pumped storage power station and related products. Background Art

[0002] After years of development and application, the installed capacity of pumped storage units and their proportion in the power grid have gradually increased, and their secondary frequency regulation function has provided important auxiliary service support for the stable operation of the power grid and generator sets. Secondary frequency regulation, also known as automatic generation control (AGC), has the advantage of being able to respond to changes in power grid load in a timely manner by adjusting the unit output in real time, thereby improving the stability and reliability of the power system.

[0003] Nowadays, the secondary frequency regulation ancillary service market has been more widely developed around the world and has become an indispensable and important part of the power market. The evaluation of the secondary frequency regulation benefits is very important for realizing the economic operation of pumped storage power stations and exerting their frequency regulation ancillary service potential. However, there are relatively few studies on the benefits of secondary frequency regulation in my country, especially the lack of research on quantitative evaluation, which leads to certain risks and uncertainties in practical applications. Therefore, it is necessary to fully investigate the current status of the secondary frequency regulation market at home and abroad, adopt reasonable methods to evaluate its benefits, and provide guidance for actual operation, in order to provide a reference for the application of secondary frequency regulation in pumped storage.

[0004] Before calculating the economic benefits of secondary frequency regulation auxiliary services provided by pumped storage power stations, the secondary frequency regulation performance needs to be evaluated.

[0005] In the relevant technology, the frequency modulation performance evaluation indicators mainly include the actual integrated power, theoretical power and its response qualification rate, which lack certain comprehensiveness and representativeness; and the calculation methods of indicator weights mainly include the hierarchical analysis method and the expert scoring method. The hierarchical analysis method can mathematize the subjective judgment process of people and the operation is simple, but it is difficult to ensure the consistency of thinking and the rationality of the weights of all factors for problems with more evaluation indicators (such as more than four). Moreover, when using expert scoring to assign weights, it is difficult to ensure the accuracy of the evaluation results due to the influence of personal experience and subjective thinking. If some indicators are of relatively low importance and the weight is too small, it may cause deviation of the overall evaluation results when performing composite operations. Summary of the invention

[0006] In view of this, the present application provides a quantitative evaluation method and related products for the secondary frequency regulation benefits of a pumped-storage power station, which can evaluate the accuracy of the results.

[0007] In a first aspect, the present application provides a quantitative evaluation method for the secondary frequency regulation benefit of a pumped storage power station, comprising: In response to different power disturbance signals input by the user, various evaluation index values ​​of the secondary frequency regulation performance of the pumped storage power station are determined, wherein the evaluation index values ​​correspond to evaluation indicators including the average power difference, the standard deviation of the power difference, the penalty power, the regulation mileage and the power delay time; Determining the degradation degree of each evaluation index according to each evaluation index value of the secondary frequency modulation performance; determining a secondary frequency regulation performance score of the pumped-storage power station according to the degree of degradation; The secondary frequency regulation benefit evaluation result of the pumped-storage power station is determined based on the secondary frequency regulation performance score, the secondary frequency regulation benefit mean and the installed capacity of the power station.

[0008] Optionally, determining each evaluation index value of the secondary frequency regulation performance of the pumped storage power station includes determining a simulation value of each evaluation index; Among them, the simulation values ​​of each evaluation index are determined as follows: The average power difference is determined by the following formula,

[0009] In the formula, is the average power difference, For the i The power difference between the theoretical reference and the simulated power of each sample point, for t Moment i The power response value simulated by the sample points, for t Moment i The power response value of the theoretical reference of the sample points, is the average value of the power theory reference response, is the theoretical reference response value of power at the initial moment or in the steady state period, N is the total number of samples; The power difference standard deviation is determined by the following formula,

[0010] In the formula, is the standard deviation of the power difference; The penalty power is determined by the following formula,

[0011] In the formula, E p To punish the electricity, is the sampling integration interval; The adjustment mileage is determined by the following formula,

[0012] In the formula, To adjust the mileage, is the rated power of the unit; The power delay time is determined by the following formula,

[0013] In the formula, is the final value of the power delay time, is the median value of the power delay time, is the correlation coefficient between the theoretical reference power response curve and the simulated response curve at the delayed DT moment.

[0014] Optionally, determining the values ​​of each evaluation index of the secondary frequency regulation performance of the pumped-storage power station further includes: constructing an index judgment matrix, and determining a weight set corresponding to each evaluation index based on the index judgment matrix.

[0015] Optionally, construct an indicator judgment matrix, specifically: The relative importance of the five evaluation indicators to the secondary frequency modulation performance is compared in pairs, and the comparison results are marked using a 1-9 scale method, and a judgment matrix is ​​constructed based on the comparison results.

[0016] Optionally, the degradation degree of each evaluation indicator is determined by the following formula:

[0017]

[0018] In the formula, represents the degradation degree of evaluation index i; is the simulation value of the evaluation index; is the allowable value / normal value of the evaluation indicator; is the maximum limit value of the evaluation index, is the minimum limit value of the evaluation index; It is the influence degree of parameter change on the operating status of the equipment.

[0019] Optionally, determining a secondary frequency regulation performance score of the pumped storage power station according to the degradation degree includes: Based on the set comment set and the fuzzy membership function, a fuzzy membership evaluation matrix of each evaluation index is determined according to the degradation degree; The product of the weight set and the fuzzy membership evaluation matrix is ​​determined as the index fuzzy evaluation vector; Based on the indicator fuzzy evaluation vector, a secondary frequency modulation performance score is determined.

[0020] Optionally, the fuzzy membership function is a membership function of a semi-ridge distribution function and a membership function of a triangle distribution.

[0021] Optionally, the secondary frequency regulation benefit evaluation result of the pumped storage power station is determined by the following formula:

[0022] Where: For the secondary frequency regulation benefits of pumped storage power stations, is the average value of secondary frequency regulation benefits obtained from the survey, is the secondary frequency modulation performance score, The installed capacity of the pumped storage power station.

[0023] In a second aspect, the present application provides a quantitative evaluation device for the secondary frequency regulation benefit of a pumped storage power station, comprising: A first determination module is used to determine various evaluation index values ​​of the secondary frequency regulation performance of the pumped storage power station in response to different power disturbance signals input by the user, wherein the evaluation index values ​​correspond to evaluation indicators including power difference average value, power difference standard deviation, penalty power, regulation mileage and power delay time; A second determination module is used to determine the degradation degree of each evaluation index according to each evaluation index value of the secondary frequency modulation performance; A third determination module is used to determine the secondary frequency regulation performance score of the pumped storage power station according to the degradation degree; The fourth determination module is used to determine the secondary frequency regulation benefit evaluation result of the pumped-storage power station according to the secondary frequency regulation performance score, the secondary frequency regulation benefit mean and the installed capacity of the power station.

[0024] In a third aspect, the present application provides an execution device, including a processor and a memory, wherein the processor is coupled to the memory; The memory is used to store programs; The processor is used to execute the program in the memory, so that the execution device executes the above method.

[0025] In the method disclosed in the present application, the average power difference, the standard deviation of the power difference, the penalty power, the adjustment mileage and the power delay time are used as evaluation indicators of the secondary frequency regulation performance of the pumped-storage power station. This indicator set comprehensively considers the frequency regulation performance assessment policy of the generator sets implemented by the East China Energy Regulatory Bureau of the National Energy Administration, the performance of the PJM power market in the United States and the extensive application experience in different regions of the world, covers the existing indicators of different operating specifications of the State Grid, and improves the comprehensiveness and typical representativeness of the evaluation results.

[0026] In addition, when determining the secondary frequency regulation performance score of the pumped-storage power station according to the degradation degree, based on the set comment set and the fuzzy membership function, the fuzzy membership evaluation matrix of each evaluation index is determined according to the degradation degree, and the product of the weight set and the fuzzy membership evaluation matrix is ​​determined to be the index fuzzy judgment vector; the secondary frequency regulation performance score is determined based on the index fuzzy judgment vector, which can not only mathematize the thinking and judgment process, but also ensure the objectivity of the result through fuzzy processing, with rigorous structure and good flexibility, avoiding deviation of the overall evaluation result. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] The technical solution and other beneficial effects of the present application will be made apparent by describing in detail the specific implementation methods of the present application in conjunction with the accompanying drawings.

[0028] Figure 1 An operational flow chart of a method for quantitatively evaluating the secondary frequency regulation benefits of a pumped-storage power station provided by an exemplary embodiment is shown.

[0029] Figure 2 A schematic diagram of a membership function distribution diagram combining a semi-ridge type and a triangle type provided by an exemplary embodiment is shown.

[0030] Figure 3 A block diagram of a quantitative evaluation device for secondary frequency regulation benefits of a pumped-storage power station provided by an exemplary embodiment is shown.

[0031] Figure 4 A block diagram of the execution device provided by an exemplary embodiment is shown. DETAILED DESCRIPTION

[0032] In order to make the above-mentioned purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are described in detail below in conjunction with the accompanying drawings. In the following description, many specific details are set forth to facilitate a full understanding of the present application. However, the present application can be implemented in many other ways different from those described herein, and those skilled in the art can make similar improvements without violating the connotation of the present application, so the present application is not limited by the specific embodiments disclosed below. The terms "first", "second", etc. in the specification and claims of this application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments described here can be implemented in an order other than that illustrated or described here. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or modules is not necessarily limited to those steps or modules clearly listed, but may include other steps or modules that are not clearly listed or inherent to these processes, methods, products or devices. The naming or numbering of steps in this application does not mean that the steps in the method flow must be executed in the time / logical sequence indicated by the naming or numbering. The process steps that have been named or numbered can change the execution order according to the technical purpose to be achieved, as long as the same or similar technical effects can be achieved. The division of units in this application is a logical division. There may be other division methods when it is implemented in actual applications. For example, multiple units can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, and the indirect coupling or communication connection between units can be electrical or other similar forms, which are not limited in this application. In addition, the units or sub-units described as separate components may or may not be physically separated, may or may not be physical units, or may be distributed in multiple circuit units, and some or all of the units may be selected according to actual needs to achieve the purpose of the present application.

[0033] Please refer to Figure 1 ,in Figure 1 A flowchart of a quantitative evaluation method for secondary frequency regulation benefits of a pumped storage power station provided by an exemplary embodiment is shown. The method is implemented through steps 102-106.

[0034] In step 102, in response to different power disturbance signals input by the user, various evaluation index values ​​of the secondary frequency regulation performance of the pumped storage power station are determined, and the evaluation index values ​​correspond to evaluation indicators including the power difference average value, the power difference standard deviation, the penalty power, the adjustment mileage and the power delay time.

[0035] It should be understood that the evaluation indicators such as the average power difference, the standard deviation of the power difference, the penalty power, the adjustment mileage and the power delay time are obtained by analyzing the power disturbance signal. Based on these evaluation indicators obtained by analyzing the power disturbance signal, the secondary frequency regulation performance score of the pumped storage power station determined later is also for different power disturbance signals input by the user.

[0036] As a typical demonstration form, determining the evaluation index values ​​of the secondary frequency regulation performance of the pumped storage power station includes: step 102A, determining the simulation value of each evaluation index; Among them, the simulation values ​​of each evaluation index are determined including the following items: (A) Determine the average power difference using the following formula: (1) In the formula, is the average power difference, For the i The power difference between the theoretical reference and the simulated power of each sample point, for t Moment i The power response value simulated by the sample points, for t Moment i The power response value of the theoretical reference of the sample points, is the average value of the power theory reference response, is the theoretical reference response value of power at the initial moment or in the steady state period, N is the total number of samples.

[0037] (B) Determine the standard deviation of the power difference by the following formula: (2) In the formula, is the standard deviation of the power difference, the smaller it is, the better the indicator is.

[0038] (C) Determine the penalty power by the following formula: (3) In the formula, E p is the penalty power (indicates the cumulative energy deviation between the theoretical reference and the simulated power response, the smaller the better indicator), is the sampling integration interval.

[0039] (D) Determine the adjustment mileage using the following formula: (4) In the formula, To adjust the mileage (unit: MW, the larger the better), is the rated power of the unit (for example, 306 MW).

[0040] (D) Determine the power delay time by the following formula: (5) In the formula, is the final value of the power delay time (unit: s, the smaller the better), (Unit: s) is the median value of the power delay time (changing from 0.0 s to 60.0 s in a sampling time of 0.1 s), is the correlation coefficient between the theoretical reference power response curve and the simulated response curve at the delayed DT moment.

[0041] Determine the evaluation index values ​​of the secondary frequency regulation performance of the pumped storage power station, including: Step 102B1, construct an indicator judgment matrix.

[0042] Specifically, step 102B1, compare the relative importance of the five evaluation indicators with respect to the secondary frequency modulation performance in pairs, mark the comparison results using a 1-9 scale method, and construct a judgment matrix based on the comparison results.

[0043] Taking the judgment matrix An (5×5) as an example, the marking results of the 1-9 scaling method are as follows: Table 11~9 Proportional scale table

[0044] Determine the judgment matrix elements based on the 1~9 scaling method (as shown in the table above). The matrix elements The value of is a positive integer from 1 to 9 or its reciprocal. The value of The reciprocal of 1 to 9 represents the importance of the indicators when compared pairwise.

[0045] Step 102B2: Perform consistency check on the judgment matrix; require consistency index CI As close to 0 as possible, test coefficient CR <0.1. If the test fails, the judgment matrix needs to be modified; (6) (7) Where: is the maximum eigenvalue of the judgment matrix. is the random consistency indicator, is the matrix order, The values ​​can be found in the following table: Table 2 Random consistency index RI Value table

[0046] Step 102B3: When the judgment matrix passes the consistency check, determine the eigenvector of the judgment matrix.

[0047] Step 102B4: normalize the feature vectors to determine the weight set corresponding to each evaluation index (e.g. (5×1)).

[0048] In step 104, the degradation degree of each evaluation index is determined according to the evaluation index value of the secondary frequency modulation performance.

[0049] The dimensions and magnitudes of various indicators are different, so they cannot be directly evaluated comprehensively. Therefore, it is necessary to normalize the indicators, that is, to calculate the degradation degree of the indicators. The degradation degree reflects the degree of degradation of the current operating state of the system compared with the ideal operating state; the degradation degree is represented by a fuzzy number, and the value range is (0,1).

[0050] Taking the simulation value and reference value (reference value includes allowable value and limit value) of each evaluation index as independent variables, the corresponding degradation degree calculation function is selected to calculate the degradation degree of each evaluation index.

[0051] For the smaller the better type index, the calculation formula of the degradation degree is: (8) For the larger the better type of indicators, the calculation formula for the degradation degree is: (9) In formula (8) and (9), represents the degradation degree of evaluation index i; is the simulation value of the evaluation index; is the allowable value / normal value of the evaluation indicator; is the maximum limit value of the evaluation index, is the minimum limit value of the evaluation index; It is the influence degree of parameter change on the operating status of the equipment.

[0052] In step 106, a secondary frequency regulation performance score of the pumped-storage power station is determined according to the degradation degree.

[0053] As a typical demonstration form, this operation 106 may include: Step 1061: Based on the set comment set and the fuzzy membership function, determine the fuzzy membership evaluation matrix of each evaluation index according to the degradation degree.

[0054] Set Comments , the corresponding score vector is .

[0055] It is worth noting that the comment set divides the response process of the secondary frequency regulation auxiliary service into four levels from good to bad. The corresponding score values ​​can be adjusted according to the evaluation requirements as long as they can reflect the differences between the response states.

[0056] Before judging each evaluation index, it is necessary to perform fuzzy processing on it in combination with the fuzzy membership function. Because the linear interpolation method cannot guarantee the accuracy of the calculation, and the ridge distribution in the fuzzy distribution has a smooth transition and a wide range of main values, the present invention combines the semi-ridge distribution and the triangular distribution to form a fuzzy membership function, which can more accurately reflect the relationship between each evaluation index and the secondary frequency modulation performance state. The specific distribution is as follows: Figure 2 shown.

[0057] , , , The fuzzy membership function expressions corresponding to the four secondary frequency modulation performance states are as follows: (10) (11) (12) (14) According to the indicator degradation value obtained in the previous step , decide which specific formula to choose from the four sets of formulas (corresponding to the four comment levels) for calculation, so as to determine how much the indicator has a membership with the four comment levels. That is, it is determined that under different input signals, the five evaluation indicators each correspond to the comment set. The membership subset of

[0058] Step 1062: Multiply the weight set and the fuzzy membership evaluation matrix to determine the index fuzzy evaluation vector.

[0059] Specifically, the fuzzy evaluation vector of the index can be expressed as (15); In formula (15), is the fuzzy evaluation vector of the index, is the fuzzy membership matrix, is the weight matrix, subscript Represents the transposed matrix.

[0060] Step 1063: Determine the secondary frequency modulation performance score based on the indicator fuzzy evaluation vector.

[0061] Specifically, the secondary frequency modulation performance score is expressed as: (16); In formula (16), is the secondary frequency modulation performance score, is the fuzzy evaluation vector of the index, is the score vector mentioned above.

[0062] In step 108, the secondary frequency regulation benefit evaluation result of the pumped-storage power station is determined according to the secondary frequency regulation performance score, the secondary frequency regulation benefit mean value and the installed capacity of the power station.

[0063] As a typical demonstration form, the mean value of the secondary frequency modulation benefit can be determined as follows: Based on the public data of secondary frequency regulation benefit values ​​in various regions, the specific benefit values ​​that can be obtained daily by each MW pumped-storage power station are deduced; considering regions with higher pumped-storage installed capacity, the weighted average value of secondary frequency regulation benefits of pumped-storage power stations is calculated.

[0064] Specifically, the present invention refers to the latest data published by the National Energy Administration and screens out the secondary frequency regulation benefit values ​​obtained by various regions. According to the Medium- and Long-Term Development Plan for Pumped Storage (2021-2035), the top 10 regions in China with the largest installed capacity of pumped storage power plants were selected, and the weighted benefit average of the pumped storage power plants in these regions was calculated, and the value was determined to be R 0 = 9.336 yuan / day / MW.

[0065] As a typical demonstration form, the secondary frequency regulation benefit evaluation result of the pumped storage power station is determined by the following formula: (17) In formula (17): For the secondary frequency regulation benefits of pumped storage power stations, is the average value of secondary frequency regulation benefits obtained from the survey, is the secondary frequency modulation performance score, The installed capacity of the pumped storage power station.

[0066] In order to more clearly illustrate the quantitative evaluation method of the secondary frequency regulation benefits of this pumped storage power station, a specific example is used to illustrate it below.

[0067] This example takes a domestic variable-speed pumped-storage power station as an example. The installed capacity of the power station is 3600MW. The control strategy of the simulation model is "power priority mode". By inputting a power disturbance signal in the model, a power response signal can be obtained. The total simulation calculation time is 200 s. There is no power disturbance in the first 50 s and the power station is in steady-state operation. Then a power disturbance signal with a duration of 150 s is input to simulate the secondary frequency regulation response process of the power station.

[0068] There are four groups of input signals, which are real disturbance signals of wind power deviation. The simulation results of real signals have higher reference significance for actual operation. The types of the frequency distribution histograms of the four groups of wind power deviation signals are: mid-peak type, left-peak type, right-peak type and double-peak type.

[0069] The evaluation process requires the use of MATLAB to compile relevant program codes for calculation, and the secondary frequency modulation performance scores and benefit values ​​under different signals are shown in the following table: Table 3 Calculation table of secondary frequency modulation benefit value under different signals

[0070] Among them, the judgment matrix of the indicator layer is constructed as follows:

[0071] The consistency index of this matrix CI = 0.025, test coefficient CR = 0.022<0.1, so the judgment matrix An Through consistency check, the feature vector is normalized and the evaluation index weight set is calculated as follows: W = (0.2901; 0.2010; 0.2081;0.1113; 0.1895). That is:

[0072] It is worth noting that the indicator weights determined here are only for this embodiment, and the indicator weights may vary for different power stations or operating conditions.

[0073] The evaluation results show that in this embodiment, the secondary frequency regulation performance scores of the example power station are all above 95 points, indicating that when the control strategy of the model selects the "power priority mode", the unit can quickly respond to changes in system load and maintain stability, and has excellent secondary frequency regulation performance; the secondary frequency regulation benefit that the example power station can obtain per day is more than 53,300 yuan, up to 55,400 yuan / day, and the average benefit is 54,400 yuan / day.

[0074] It is worth noting that this method has the following technical advantages: (1) The five frequency regulation performance evaluation indicators selected in this method for quantitative evaluation of the secondary frequency regulation benefits of pumped storage power stations are representative and comprehensive, which is reflected in the following two aspects: ① From the perspective of application scope, the first two indicators are the average power difference and the standard deviation of power difference, which are calculated based on the power difference between the theoretical reference value and the simulation value, and are widely used in different regions of the world; the third indicator is the penalty power, which is an important indicator introduced on the basis of the frequency regulation performance assessment policy of the generator set implemented by the East China Energy Regulatory Bureau of the National Energy Administration; the last two indicators are the regulation mileage and power delay time, which are based on the performance score of the PJM power market in the United States. In general, this indicator set covers the existing indicators of different operation specifications of the State Grid and is representative.

[0075] ② From a physical point of view, these indicators reflect different physical quantities, including power (∆ Pavg ,∆ Pstd ),energy( Ep ),time( Tdelay ) and adjust the intensity ( MR ), which together reflect the comprehensiveness of the indicators.

[0076] (2) The quantitative evaluation method proposed in this method can mathematize the thinking and judgment process and ensure the objectivity of the results through fuzzy processing when processing evaluation indicators and calculating weights. It has a rigorous structure and good flexibility, which avoids the deviation of the overall evaluation results.

[0077] (3) The quantitative evaluation method proposed in this method fully investigated the current market status of secondary frequency regulation benefits at home and abroad when selecting the mean value of secondary frequency regulation benefits. For the domestic example power stations, the latest data released by the National Energy Administration were referred to, and the secondary frequency regulation benefit values ​​obtained by various regions were screened out. According to the latest "Medium- and Long-Term Development Plan for Pumped Storage Power (2021-2035)", the top 10 regions in terms of domestic pumped storage installed capacity were selected, and the weighted benefit mean of pumped storage power stations in these regions was calculated, which has a high reference value for the current application of pumped storage secondary frequency regulation in China.

[0078] Please refer to Figure 3 , which shows a block diagram of the quantitative evaluation device for the secondary frequency regulation benefit of a pumped storage power station provided by the present application. The device 200 includes: The first determination module 202 is used to determine various evaluation index values ​​of the secondary frequency regulation performance of the pumped storage power station in response to different power disturbance signals input by the user, wherein the evaluation index values ​​correspond to evaluation indexes including power difference average value, power difference standard deviation, penalty power, regulation mileage and power delay time; A second determination module 204 is used to determine the degradation degree of each evaluation indicator according to each evaluation indicator value of the secondary frequency modulation performance; A third determination module 206 is used to determine a secondary frequency regulation performance score of the pumped storage power station according to the degradation degree; The fourth determination module 208 is used to determine the secondary frequency regulation benefit evaluation result of the pumped-storage power station according to the secondary frequency regulation performance score, the secondary frequency regulation benefit mean value and the power station installed capacity.

[0079] Since the above methods have been discussed in detail, the specific implementation of the above modules will not be repeated here.

[0080] Next, an execution device provided by an embodiment of the present application is introduced. Figure 4 , Figure 4 This is a schematic diagram of a structure of an execution device provided in an embodiment of the present application. The execution device 300 can be specifically manifested as an autonomous driving vehicle, a mobile phone, a tablet, a laptop computer, a desktop computer, a monitoring data processing device, etc., which is not limited here. Figure 1 The functions of the execution device in the corresponding embodiment. Specifically, the execution device 300 includes: a receiver 301, a transmitter 302, a processor 303 and a memory 304 (wherein the number of the processor 303 in the execution device 300 can be one or more, Figure 4 In the example of FIG. 3 , the processor 303 may include an application processor 3031 and a communication processor 3032. In some embodiments of the present application, the receiver 301, the transmitter 302, the processor 303 and the memory 304 may be connected via a bus or other means.

[0081] The memory 304 may include a read-only memory and a random access memory, and provides instructions and data to the processor 303. A portion of the memory 304 may also include a non-volatile random access memory (NVRAM). The memory 304 stores processor and operation instructions, executable modules or data structures, or subsets thereof, or extended sets thereof, wherein the operation instructions may include various operation instructions for implementing various operations.

[0082] The processor 303 controls the operation of the execution device. In a specific application, the various components of the execution device are coupled together through a bus system, wherein the bus system includes not only a data bus but also a power bus, a control bus, and a status signal bus, etc. However, for the sake of clarity, various buses are referred to as bus systems in the figure.

[0083] The method disclosed in the above embodiment of the present application can be applied to the processor 303, or implemented by the processor 303. The processor 303 can be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the above method can be completed by the hardware integrated logic circuit or software instructions in the processor 303. The above processor 303 can be a general processor, a digital signal processor (digital signal processing, DSP), a microprocessor or a microcontroller, and can further include an application specific integrated circuit (application specific integrated circuit, ASIC), a field programmable gate array (field-programmable gate array, FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components. The processor 303 can implement or execute the various methods, steps and logic block diagrams disclosed in the embodiments of the present application. The general processor can be a microprocessor or the processor can also be any conventional processor, etc. The steps of the method disclosed in the embodiment of the present application can be directly embodied as a hardware decoding processor to execute, or it can be executed by a combination of hardware and software modules in the decoding processor. The software module may be located in a storage medium mature in the art, such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory, or an electrically erasable programmable memory, a register, etc. The storage medium is located in the memory 304, and the processor 303 reads the information in the memory 304 and completes the steps of the above method in combination with its hardware.

[0084] The receiver 301 can be used to receive input digital or character information and generate signal input related to the relevant settings and function control of the execution device. The transmitter 302 can be used to output digital or character information through the first interface; the transmitter 302 can also be used to send instructions to the disk group through the first interface to modify the data in the disk group; the transmitter 302 can also include a display device such as a display screen.

[0085] In the embodiment of the present application, the processor 303 is used to execute Figure 1 The specific manner in which the application processor 3031 in the processor 303 performs the above steps is the same as that in the present application. Figure 1 The corresponding method embodiments are based on the same concept, and the technical effects they bring are the same as those in this application. Figure 1 The corresponding method embodiments are the same. For specific contents, please refer to the description in the method embodiments shown above in this application, which will not be repeated here.

[0086] The above is only a preferred specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by any technician familiar with the technical field within the technical scope disclosed in the present application should be covered within the protection scope of the present application.

Claims

1. A quantitative evaluation method for the secondary frequency regulation benefit of a pumped storage power station, characterized in that: include: In response to different power disturbance signals input by the user, various evaluation index values ​​of the secondary frequency regulation performance of the pumped storage power station are determined, wherein the evaluation index values ​​correspond to evaluation indicators including the average power difference, the standard deviation of the power difference, the penalty power, the regulation mileage and the power delay time; Determining the degradation degree of each evaluation index according to each evaluation index value of the secondary frequency modulation performance; determining a secondary frequency regulation performance score of the pumped-storage power station according to the degree of degradation; The secondary frequency regulation benefit evaluation result of the pumped-storage power station is determined based on the secondary frequency regulation performance score, the secondary frequency regulation benefit mean and the installed capacity of the power station.

2. The method according to claim 1, characterized in that Determining the values ​​of various evaluation indicators of the secondary frequency regulation performance of the pumped storage power station, including determining the simulation values ​​of various evaluation indicators; Among them, the simulation values ​​of each evaluation index are determined as follows: The average power difference is determined by the following formula, In the formula, is the average power difference, For the i The power difference between the theoretical reference and the simulated power of each sample point, for t Moment i The power response value simulated by the sample points, for t Moment i The power response value of the theoretical reference of the sample points, is the average value of the power theory reference response, is the theoretical reference response value of power at the initial moment or in the steady state period, N is the total number of samples; The power difference standard deviation is determined by the following formula, In the formula, is the standard deviation of the power difference; The penalty power is determined by the following formula, In the formula, E p To punish the electricity, is the sampling integration interval; The adjustment mileage is determined by the following formula, In the formula, To adjust the mileage, is the rated power of the unit; The power delay time is determined by the following formula, In the formula, is the final value of the power delay time, is the median value of the power delay time, is the correlation coefficient between the theoretical reference power response curve and the simulated response curve at the delayed DT moment.

3. The method according to claim 1, characterized in that Determining the values ​​of various evaluation indicators of the secondary frequency regulation performance of the pumped storage power station also includes: constructing an indicator judgment matrix, and determining a weight set corresponding to each evaluation indicator based on the indicator judgment matrix.

4. The method according to claim 3, characterized in that Construct an indicator judgment matrix, specifically: The relative importance of the five evaluation indicators to the secondary frequency modulation performance is compared in pairs, and the comparison results are marked using a 1-9 scale method, and a judgment matrix is ​​constructed based on the comparison results.

5. The method according to claim 1, characterized in that Determine the degradation degree of each evaluation indicator, and perform it through the following formula, In the formula, represents the degradation degree of evaluation index i; is the simulation value of the evaluation index; is the allowable value / normal value of the evaluation indicator; is the maximum limit value of the evaluation index, is the minimum limit value of the evaluation index; It is the influence degree of parameter change on the operating status of the equipment.

6. The method according to claim 3, characterized in that The secondary frequency regulation performance score of the pumped storage power station is determined according to the degradation degree, including: Based on the set comment set and the fuzzy membership function, a fuzzy membership evaluation matrix of each evaluation index is determined according to the degradation degree; The product of the weight set and the fuzzy membership evaluation matrix is ​​determined as the index fuzzy evaluation vector; Based on the indicator fuzzy evaluation vector, a secondary frequency modulation performance score is determined.

7. The method according to claim 1, characterized in that The fuzzy membership function is the membership function of the semi-ridge distribution function and the membership function of the triangle distribution.

8. The method according to claim 1, characterized in that The secondary frequency regulation benefit evaluation result of the pumped storage power station is determined by the following formula: Where: For the secondary frequency regulation benefits of pumped storage power stations, is the average value of secondary frequency regulation benefits obtained from the survey, is the secondary frequency modulation performance score, The installed capacity of the pumped storage power station.

9. A quantitative evaluation device for the secondary frequency regulation benefit of a pumped storage power station, characterized in that: include: A first determination module is used to determine various evaluation index values ​​of the secondary frequency regulation performance of the pumped storage power station in response to different power disturbance signals input by the user, wherein the evaluation index values ​​correspond to evaluation indicators including power difference average value, power difference standard deviation, penalty power, regulation mileage and power delay time; A second determination module is used to determine the degradation degree of each evaluation index according to each evaluation index value of the secondary frequency modulation performance; A third determination module is used to determine the secondary frequency regulation performance score of the pumped storage power station according to the degradation degree; The fourth determination module is used to determine the secondary frequency regulation benefit evaluation result of the pumped-storage power station according to the secondary frequency regulation performance score, the secondary frequency regulation benefit mean and the installed capacity of the power station.

10. An execution device, characterized in that: comprising a processor and a memory, wherein the processor is coupled to the memory; The memory is used to store programs; The processor is configured to execute the program in the memory so that the execution device executes the method according to any one of claims 1 to 8.

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