Method and system for evaluating comprehensive frequency modulation performance of hybrid pumped storage system considering adjustment wear

Abstract

The invention belongs to the technical field of power systems, and particularly discloses a hybrid pumped storage system comprehensive frequency modulation performance evaluation method and system considering adjustment wear. According to the method, the evaluation index system used for reflecting the performance adjustment state of the to-be-evaluated hybrid pumped storage system is obtained, the weight corresponding to each evaluation index in the evaluation index system is calculated by adopting the analytic hierarchy process, the entropy weight method and the variable coefficient method, and finally the performance adjustment state of the to-be-evaluated hybrid pumped storage system is evaluated according to each evaluation index and the weight corresponding to each evaluation index. And evaluating the hybrid pumped storage system to be evaluated. According to the method, the cooperative response state of the to-be-evaluated hybrid pumped storage system can be evaluated, the system cooperative response performance considering the system adjustment wear and the frequency recovery effect is comprehensively evaluated, and the performance of the to-be-evaluated hybrid pumped storage system is accurately evaluated; reasonable decision support is provided for scheduling strategy optimization of the hybrid pumped storage system to be evaluated, and the operation safety and economical efficiency of the pumped storage system are improved.

Description

Technical Field

[0001] The present application belongs to the technical field of power systems, and more specifically, to a method and system for evaluating the comprehensive frequency regulation performance of a hybrid pumped storage system taking into account regulation wear. Background Art

[0002] As the global energy transformation continues to deepen, renewable energy is increasingly used in power grids. In order to improve the reliability of renewable energy consumption and ensure the balance of power supply and demand, pumped storage systems, which account for more than 90% of global energy storage facilities, have long played an important role in many power systems in undertaking numerous regulation tasks. However, frequent adjustments may lead to wear of the regulating mechanism and increase in the vibration intensity of the unit, which will lead to the deterioration of the performance of the pumped storage system and affect the operating efficiency of the system.

[0003] The variable speed pumped storage system based on doubly fed induction motor and reversible pump-turbine is a new type of pumped storage system with obvious capacity advantages and rapid regulation capabilities, and has important development potential in energy utilization and grid security. In terms of unit structure, the variable speed pumped storage unit has a similar hydraulic-mechanical regulation structure to the traditional pumped storage unit. Therefore, in the process of participating in grid frequency regulation, the phenomenon of unit operation wear is becoming more and more serious. In addition, considering that variable speed pumped storage units and fixed speed pumped storage units are commonly present in actual pumped storage power stations, the study of the regulation performance of hybrid pumped storage systems has become the key to the optimized operation of power generation and grid.

[0004] However, current research on the regulation performance of hybrid pumped storage systems focuses on grid-side demand and evaluation, rarely considering the regulation wear of pumped storage units, and there is also a lack of sufficient evidence on the short-term coordination and regulatory role and operational advantages of variable-speed pumped storage systems. The accuracy of evaluating the performance of hybrid pumped storage systems is poor. Summary of the invention

[0005] In view of the defects of the prior art, the purpose of this application is to provide a method and system for evaluating the comprehensive frequency regulation performance of a hybrid pumped storage system taking into account adjustment wear, aiming to solve the problem of poor accuracy in evaluating the performance of a hybrid pumped storage system in the prior art.

[0006] To achieve the above objectives, in a first aspect, the present application provides a method for evaluating the comprehensive frequency regulation performance of a hybrid pumped storage system taking into account adjustment wear, comprising:

[0007] Obtaining an evaluation index system for reflecting the performance regulation state of the hybrid pumped storage system to be evaluated;

[0008] The first weight corresponding to each evaluation index in the evaluation index system is calculated by using the hierarchical analysis method, the second weight corresponding to each evaluation index is calculated by using the entropy weight method, and the third weight corresponding to each evaluation index is calculated by using the coefficient of variation method;

[0009] According to each evaluation index, the first weight, the second weight and the third weight, the hybrid pumped storage system to be evaluated is evaluated.

[0010] In some embodiments, using the analytic hierarchy process to calculate the first weight corresponding to each evaluation indicator in the evaluation indicator system includes:

[0011] A single-level sorting method is used to determine each element in the judgment matrix that satisfies the consistency check to construct the judgment matrix;

[0012] Get the eigenvector of the judgment matrix;

[0013] The feature vectors are normalized to obtain the first weights corresponding to the evaluation indicators.

[0014] In some embodiments, using the entropy weight method to calculate the second weight corresponding to each evaluation indicator in the evaluation indicator system includes:

[0015] Standardize each evaluation index to obtain a standard data set;

[0016] According to the standard data set, obtain the feature weights corresponding to each evaluation index;

[0017] According to the feature weight, obtain the entropy value corresponding to each evaluation index;

[0018] According to the entropy value, the second weight corresponding to each evaluation index is obtained.

[0019] In some embodiments, using the coefficient of variation method to calculate the third weight corresponding to each evaluation indicator in the evaluation indicator system includes:

[0020] According to the standard deviation of each evaluation index and the mean value after standardization of each evaluation index, the coefficient of variation of each evaluation index is obtained;

[0021] According to the coefficient of variation, the third weight corresponding to each evaluation index is obtained.

[0022] In some embodiments, evaluating the hybrid pumped storage system to be evaluated according to the evaluation indicators, the first weight, the second weight, and the third weight includes:

[0023] The first weight, the second weight and the third weight are combined by using a nonlinear weighting method to obtain a combined weight corresponding to each evaluation index;

[0024] According to each evaluation index and the combined weight corresponding to each evaluation index, an evaluation score of the hybrid pumped storage system to be evaluated is obtained;

[0025] According to the evaluation scores, the hybrid pumped storage system to be evaluated is evaluated.

[0026] In some embodiments, when the hybrid pumped storage system to be evaluated is composed of a conventional pumped storage unit and a variable speed pumped storage unit, the evaluation index system includes:

[0027] The mean square error of the system frequency corresponding to the grid side connected to the hybrid pumped storage system to be evaluated, the power fluctuation level corresponding to the conventional pumped storage unit and the variable speed pumped storage unit respectively, the guide vane action distance and the fatigue damage coefficient of the pressure pipe.

[0028] In a second aspect, the present application provides a hybrid pumped storage system comprehensive frequency regulation performance evaluation system considering regulation wear, comprising:

[0029] A first acquisition module is used to acquire an evaluation index system for reflecting the performance adjustment state of the hybrid pumped storage system to be evaluated;

[0030] The second acquisition module is used to calculate the first weight corresponding to each evaluation indicator in the evaluation indicator system by using the hierarchical analysis method, calculate the second weight corresponding to each evaluation indicator by using the entropy weight method, and calculate the third weight corresponding to each evaluation indicator by using the coefficient of variation method;

[0031] The evaluation module is used to evaluate the hybrid pumped storage system to be evaluated according to various evaluation indicators, the first weight, the second weight and the third weight.

[0032] In a third aspect, the present application provides an electronic device comprising: at least one memory for storing programs; and at least one processor for executing the programs stored in the memory. When the programs stored in the memory are executed, the processor is used to execute the comprehensive frequency regulation performance evaluation method of a hybrid pumped storage system considering adjustment wear as described in the first aspect or any embodiments of the first aspect.

[0033] In a fourth aspect, the present application provides a computer-readable storage medium storing a computer program. When the computer program runs on a processor, the processor executes the method for evaluating the comprehensive frequency regulation performance of a hybrid pumped storage system taking into account adjustment wear as described in the first aspect or any embodiments of the first aspect.

[0034] In a fifth aspect, the present application provides a computer program product, which, when running on a processor, enables the processor to execute the method for evaluating the comprehensive frequency regulation performance of a hybrid pumped storage system taking into account adjustment wear as described in the first aspect or any embodiments of the first aspect.

[0035] In general, the above technical solutions conceived by this application have the following beneficial effects compared with the prior art:

[0036] The present application provides a method and system for evaluating the comprehensive frequency regulation performance of a hybrid pumped storage system taking into account regulation wear. The method and system obtain an evaluation index system for reflecting the performance regulation state of the hybrid pumped storage system to be evaluated, and use the analytic hierarchy process, entropy weight method and coefficient of variation method to calculate the weights corresponding to each evaluation index in the evaluation index system. Finally, the hybrid pumped storage system to be evaluated is evaluated according to each evaluation index and the weight corresponding to each evaluation index. The present application can evaluate the coordinated response state of the hybrid pumped storage system to be evaluated, comprehensively evaluate the coordinated response performance of the system taking into account the regulation wear and frequency recovery effect of the system, and accurately evaluate the performance of the hybrid pumped storage system to be evaluated, provide reasonable decision-making support for the optimization of the scheduling strategy of the hybrid pumped storage system to be evaluated, and improve the operational safety and economy of the pumped storage system. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 It is one of the flow charts of the method for evaluating the comprehensive frequency regulation performance of a hybrid pumped storage system considering regulation wear provided in an embodiment of the present application;

[0038] Figure 2 is a structural schematic diagram of a variable speed pumped storage unit provided in an embodiment of the present application;

[0039] Figure 3 It is a schematic diagram of rotation angles and line segments in a broken line corresponding to a power fluctuation level provided in an embodiment of the present application;

[0040] Figure 4 This is the second flow chart of the method for evaluating the comprehensive frequency regulation performance of a hybrid pumped storage system taking into account regulation wear provided in an embodiment of the present application;

[0041] Figure 5 is a schematic diagram of a collaborative performance evaluation system provided in an embodiment of the present application;

[0042] Figure 6 It is a schematic diagram of a combined weight calculation method provided in an embodiment of the present application;

[0043] Figure 7 is a schematic diagram of spectral density distribution characteristics of eight wind power generation types provided in an embodiment of the present application;

[0044] Figure 8 is a schematic diagram of a judgment matrix provided in an embodiment of the present application;

[0045] Fig. 9 is a schematic diagram of evaluation scores under different wind power integration scenarios provided in the embodiments of the present application;

[0046] Fig.10 is a schematic diagram of evaluation scores of a variable-speed pumped-storage unit in different participating scenarios provided by an embodiment of the present application;

[0047] Fig.11 It is a structural schematic diagram of a hybrid pumped storage system comprehensive frequency regulation performance evaluation system considering regulation wear provided in an embodiment of the present application;

[0048] Fig.12 It is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0049] 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.

[0050] The term "and / or" in this article is a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. The symbol " / " in this article indicates that the associated objects are in an or relationship, for example, A / B means A or B.

[0051] The terms "first" and "second" in the specification and claims herein are used to distinguish different objects rather than to describe a specific order of objects. For example, a first weight and a second weight are used to distinguish different weights rather than to describe a specific order of weights.

[0052] In the embodiments of the present application, words such as "exemplary" or "for example" are used to indicate examples, illustrations or descriptions. Any embodiment or design described as "exemplary" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "exemplary" or "for example" is intended to present related concepts in a specific way.

[0053] In the description of the embodiments of the present application, unless otherwise specified, “plurality” means two or more than two.

[0054] The embodiments of the present application are described below in conjunction with the drawings in the embodiments of the present application.

[0055] See also Figure 1 An embodiment of the present application provides a method for evaluating the comprehensive frequency regulation performance of a hybrid pumped storage system taking into account regulation wear, including: step 110, step 120 and step 130.

[0056] Step 110: obtaining an evaluation index system for reflecting the performance regulation state of the hybrid pumped storage system to be evaluated;

[0057] Step 120 uses the analytic hierarchy process to calculate the first weight corresponding to each evaluation indicator in the evaluation indicator system, uses the entropy weight method to calculate the second weight corresponding to each evaluation indicator, and uses the coefficient of variation method to calculate the third weight corresponding to each evaluation indicator;

[0058] Step 130 evaluates the hybrid pumped storage system to be evaluated according to the evaluation indicators, the first weight, the second weight and the third weight.

[0059] In the embodiment of the present application, the hybrid pumped storage system to be evaluated may include one or more hybrid pumped storage systems. Each hybrid pumped storage system is composed of a conventional pumped storage unit and a variable speed pumped storage unit.

[0060] The basic information of the hybrid pumped storage system to be evaluated is obtained, and based on the basic information including the system structure, control mode and basic operating parameters, an evaluation index system is constructed that can effectively reflect the regulation status of the conventional pumped storage units and the variable speed pumped storage units in the hybrid pumped storage system to be evaluated. For example, the structure of the variable speed pumped storage unit is as follows: Figure 2 shown.

[0061] Furthermore, in some embodiments, when the hybrid pumped storage system to be evaluated is composed of a conventional pumped storage unit and a variable speed pumped storage unit, in the above steps, the evaluation index system may include:

[0062] The mean square error of the system frequency corresponding to the grid side connected to the hybrid pumped storage system to be evaluated, the power fluctuation level corresponding to the conventional pumped storage unit and the variable speed pumped storage unit respectively, the guide vane action distance and the fatigue damage coefficient of the pressure pipe.

[0063] In an embodiment of the present application, when one or more hybrid pumped-storage systems to be evaluated are composed of conventional pumped-storage units and variable-speed pumped-storage units, the evaluation index system may specifically include the system frequency mean square error corresponding to the power grid side connected to the hybrid pumped-storage system to be evaluated, the power fluctuation levels corresponding to the conventional pumped-storage units and the variable-speed pumped-storage units respectively, the guide vane action distance and the pressure pipeline fatigue damage coefficient.

[0064] Among them, the system frequency mean square error can be calculated by the following formula:

[0065]

[0066] In the formula, f RMS is the system frequency mean square error, f iis the system frequency of the ith data point, N is the total number of data points, and f0 is the standard frequency. This data point is the output power of the grid side under the normal operation of the hybrid pumped storage system to be evaluated.

[0067] The calculation methods of power fluctuation level, guide vane action distance and pressure pipe fatigue damage coefficient corresponding to conventional pumped storage units and variable speed pumped storage units are the same.

[0068] The power fluctuation level is calculated as follows:

[0069]

[0070] Wherein, MWFI represents the power fluctuation level, and y(i) is the broken line corresponding to the power fluctuation level (exemplarily, the broken line is as follows: Figure 3 The ordinate of the i-th data point in (shown in Figure 1) is represents the mean of all data points, β represents the contour change of the broken line corresponding to the power fluctuation level, and θ i is the rotation angle of the broken line corresponding to the power fluctuation level, which can be calculated by the following formula:

[0071]

[0072] In the formula, when 2≤i≤N-1, θ i More specifically, it is the rotation angle between adjacent line segments in the broken line corresponding to the power fluctuation level. When i = 1 or N, θ i They correspond to the angles between the first line segment or the N-1th line segment in the polyline and the horizontal line. When 1≤i≤N-1, k i is the slope of the line segment between the i-th data point and the i+1-th data point. When i=N, k i Represents the slope of the N-1th line segment. y(N) is the ordinate of the Nth data point in the broken line corresponding to the power fluctuation level, y(N-1) is the ordinate of the N-1th data point in the broken line corresponding to the power fluctuation level, x(N) is the abscissa of the Nth data point in the broken line corresponding to the power fluctuation level, and x(N-1) is the abscissa of the N-1th data point in the broken line corresponding to the power fluctuation level.

[0073] The guide vane action distance can be calculated by the following formula:

[0074]

[0075] Where, L y is the guide vane action distance, ΔY GVO is the relative value of the guide vane opening, T sim is the guide vane movement process time.

[0076] The fatigue damage coefficient of pressure pipeline has the following characteristics:

[0077] The change in pressure is related to fatigue stress, and the change in tangential stress can be expressed as:

[0078]

[0079] In the formula, Indicates that at time t, the position i in the j-th pressure pipe unit d The tangential stress value at is the position i in the jth pressure pipe unit d The liquid level at i d is the i-th pressure pipe unit d There are I locations in the pressure pipe unit. d Locations, is the i-th pressure pipe unit in the j-th pressure pipe unit d The elevation of each position, D and e are the diameter and wall thickness of the pressure pipe unit, k = gρ, g is the acceleration of gravity, ρ is the water density (in kg / m 3 ), J is the number of pressure pipe units in a conventional pumped storage unit or a variable speed pumped storage unit.

[0080] The number of fatigue cycles and the corresponding stress amplitudes occurring in the stress-time history of conventional pumped storage units or variable speed pumped storage units are calculated using the rainflow counting method. The cumulative damage of each pressure piping unit is calculated by accumulating appropriate SN curves, where the SN curve is a set of normalized curves provided by the BS7910 standard corresponding to defects or details of different quality categories present in the structure.

[0081] The fatigue damage coefficient of the pressure pipeline is calculated by the following formula:

[0082]

[0083] In the formula, is the position i in each pressure pipe unit d Fatigue damage coefficient of the pressure pipe at is the position i in the jth pressure pipe unit d The number of cycles at is the position i in the jth pressure pipe unit d The pressure amplitude at get. Indicates that at a specific stress amplitude Fatigue life under .

[0084] The analytic hierarchy process (AHP) is used to calculate the weights (i.e., the first weight) corresponding to each evaluation index in the evaluation index system, the entropy weight method (EW) is used to calculate the weights (i.e., the second weight) corresponding to each evaluation index in the evaluation index system, and the coefficient of variation method (CV) is used to calculate the weights (i.e., the third weight) corresponding to each evaluation index in the evaluation index system. The weights of the adjustment wear and frequency response indicators of each type of pumped storage unit (fixed-speed pumped storage unit and variable-speed pumped storage unit) are calculated respectively by a multi-dimensional comprehensive evaluation method. Among them, the evaluation indicators related to the adjustment wear include the power fluctuation level, guide vane action distance, and pressure pipeline fatigue damage coefficient corresponding to the conventional pumped storage unit and the variable-speed pumped storage unit respectively; the evaluation indicators related to the frequency response index include the mean square error of the system frequency corresponding to the grid side connected to the hybrid pumped storage system to be evaluated.

[0085] Furthermore, in some embodiments, in the above steps, using the analytic hierarchy process to calculate the first weight corresponding to each evaluation index in the evaluation index system may include:

[0086] A single-level sorting method is used to determine each element in the judgment matrix that satisfies the consistency check to construct the judgment matrix;

[0087] Get the eigenvector of the judgment matrix;

[0088] The feature vectors are normalized to obtain the first weights corresponding to the evaluation indicators.

[0089] In the embodiment of the present application, a hierarchical structure is first constructed:

[0090] Determine the evaluation index layer Z, where Z is a 1×n matrix and n is the number of evaluation indicators of the hybrid pumped storage system to be evaluated.

[0091] Secondly, a single-level sorting method is used to construct a judgment matrix An, which is an n×n matrix, and a consistency check is performed on the judgment matrix.

[0092] The execution of a single-level ranking requires consideration of the physical definition and numerical differences of the selected evaluation indicators. The embodiment of the present application introduces a 1-9 scaling method to determine the elements of the judgment matrix. The construction process of the judgment matrix may be subjective, so a consistency check is required to determine whether the judgment matrix satisfies logical consistency. The judgment matrix that satisfies the consistency check should make the consistency index CI as close to 0 as possible and the consistency ratio CR less than 0.1.

[0093]

[0094] Wherein, λ is the maximum eigenvalue of the judgment matrix An, RI is the random consistency index, and illustratively, the value of RI can refer to Table 1.

[0095] Table 1

[0096]

[0097] Again, calculate the weight of the evaluation index:

[0098] From formula A n W = λW, where W is the eigenvector of the judgment matrix An. Normalizing W can get the weight set W′ of the evaluation index, where W′ is an n×1 matrix. x (j x =1,2,...,n), and its corresponding weight (i.e., the first weight) is express.

[0099] Furthermore, in some embodiments, in the above steps, using the entropy weight method to calculate the second weight corresponding to each evaluation index may include:

[0100] Standardize each evaluation index to obtain a standard data set;

[0101] According to the standard data set, obtain the feature weights corresponding to each evaluation index;

[0102] According to the feature weight, obtain the entropy value corresponding to each evaluation index;

[0103] According to the entropy value, the second weight corresponding to each evaluation index is obtained.

[0104] In the present embodiment, in order to avoid the influence of different dimensions of evaluation indicators, it is necessary to calculate the evaluation system obtained above (assuming is an m×n matrix, where m is the number of hybrid pumped storage systems included in the hybrid pumped storage system to be evaluated) to obtain a standardized data set. Each element in the standardized data set can be calculated by the following formula:

[0105]

[0106] In the formula, is the i-th x The jth hybrid pumped storage system x The standardized value of the evaluation index, For the i x The jth hybrid pumped storage system x evaluation indicators, for The minimum value in for The maximum value in .

[0107] according to Calculate the feature weights corresponding to each evaluation index as follows:

[0108]

[0109] In the formula, For the i x The jth hybrid pumped storage system x The feature weight of each evaluation indicator.

[0110] According to feature weight Calculate the entropy value corresponding to each evaluation index, as follows:

[0111]

[0112] In the formula, is the jth x The entropy value of the evaluation index.

[0113] According to the entropy value, the weights corresponding to each evaluation index are obtained, that is, the second weights, as follows:

[0114]

[0115] In the formula, is the jth x The second weight of the evaluation index.

[0116] Furthermore, in some embodiments, in the above steps, using the coefficient of variation method to calculate the third weight corresponding to each evaluation indicator may include:

[0117] According to the standard deviation of each evaluation index and the mean value after standardization of each evaluation index, the coefficient of variation of each evaluation index is obtained;

[0118] According to the coefficient of variation, the third weight corresponding to each evaluation index is obtained.

[0119] In the embodiment of the present application, the coefficient of variation of each evaluation index can be expressed as:

[0120]

[0121] In the formula, For the jth x The coefficient of variation of the evaluation index is For the jth x The standard deviation of the evaluation index, For the jth x The standardized mean of the evaluation indicators can be calculated by the following formula:

[0122]

[0123] The weight corresponding to each evaluation index (i.e., the third weight) can be calculated by the following formula:

[0124]

[0125] In the formula, is the jth x The third weight of the evaluation index.

[0126] Further, in some embodiments, in step 130, evaluating the hybrid pumped storage system to be evaluated according to the evaluation indicators, the first weight, the second weight, and the third weight may include:

[0127] The first weight, the second weight and the third weight are combined by using a nonlinear weighting method to obtain a combined weight corresponding to each evaluation index;

[0128] According to each evaluation index and the combined weight corresponding to each evaluation index, an evaluation score of the hybrid pumped storage system to be evaluated is obtained;

[0129] According to the evaluation scores, the hybrid pumped storage system to be evaluated is evaluated.

[0130] In the embodiment of the present application, a nonlinear weighting method is used to combine the weights obtained by the analytic hierarchy process, the entropy weight method and the coefficient of variation method to obtain a combined weight, which is as follows:

[0131]

[0132] In the formula, is the jth x The combined weight of the evaluation indicators.

[0133] The final collaborative response performance score (i.e., evaluation score) is obtained by multiplying the combined weight of each evaluation indicator by its respective percentage score and adding the results, as follows:

[0134]

[0135] In the formula, For the i x The original evaluation score of a hybrid pumped storage system, For the i x The final evaluation score of the hybrid pumped storage system.

[0136] Based on the above final evaluation score The hybrid pumped storage system to be evaluated x A hybrid pumped storage system was evaluated.

[0137] In the embodiment of the present application, by systematically selecting multiple data points for the system regulation process, quantitative score information of the coordinated regulation performance of the hybrid pumped storage system under different renewable energy fluctuations and system regulation scenarios is obtained, and the regulation state change trend of the hybrid pumped storage system is obtained, so as to provide optimization decisions for the safe operation of the system.

[0138] For example, see further Figure 4 The method for evaluating the comprehensive frequency regulation performance of a hybrid pumped storage system considering adjustment wear provided in an embodiment of the present application may include:

[0139] Obtain the unit structure, control mode and basic operating parameters of the pumped storage power station to be evaluated;

[0140] To construct evaluation index systems that can effectively reflect the regulation status of conventional and variable-speed pumped storage units respectively;

[0141] The weight distribution of regulation wear and frequency response indicators of each type of pumped storage unit is calculated by using the analytic hierarchy process-entropy weight method-variation coefficient multidimensional evaluation method.

[0142] The indicator weights are nonlinearly weighted, and the comprehensive score of the frequency regulation performance of the hybrid pumped storage system considering the adjustment wear is calculated.

[0143] Please see further Figure 5 In order to ensure the scientificity, rationality and practicality of the evaluation results, the design of the evaluation index system follows the principles of regional relevance, dynamics, comparability and hierarchy. According to the above principles and the distribution of unit structural characteristics, the following four evaluation indicators can be determined through the above process:

[0144] System frequency mean square deviation, power fluctuation level, guide vane action distance and pressure pipe fatigue damage coefficient.

[0145] The weight distribution of adjustment wear and frequency response indicators of each system is calculated by using the hierarchical analysis method, entropy weight method and coefficient of variation multidimensional evaluation method. Figure 6 shown.

[0146] The present application is further described below with reference to specific examples.

[0147] Based on a pumped storage power station in a certain region, the power station is assumed to have 12 units, including 10 fixed-speed units with a total installed capacity of 3000MW and 2 variable-speed units with a total installed capacity of 600MW. The system parameter settings are shown in Table 2.

[0148] Table 2

[0149]

[0150] In Table 2, σf1 and σf2 are the initial stress amplitudes of the fixed-speed pumped-storage unit and the variable-speed pumped-storage unit, respectively; m1 and m2 are the fatigue strength indexes of the fixed-speed pumped-storage unit and the variable-speed pumped-storage unit, respectively; Nk1 and Nk2 are the fatigue limit cycles of the fixed-speed pumped-storage unit and the variable-speed pumped-storage unit, respectively.

[0151] Two different wind turbulence models, the IEC Kaimal model (IECKAI) and the IEC Von Karman model (IECVKM), are used to generate wind power fluctuation series. The spectrum S of the IECKAI model is KAI (f) is shown in the following formula:

[0152]

[0153] Where f is the cycle frequency, L K is the first integral scale parameter, u hub is the wind speed (unit: m / s), σ K is the turbulence standard deviation of the Normal Turbulence Model (NTM) wind spectrum.

[0154] The IEC614001 standard defines the integral scale parameter as:

[0155] L K =8.1·0.7·min(60m,H Hub ),Edition 3;

[0156] In the formula, H Hub is the hub height of the wind turbine.

[0157] Spectrum S of the IECVKM model VKM (f) is shown in the following formula:

[0158]

[0159] L′ K =3.5 0.7 min (60 m, H Hub ),Edition 3;

[0160] In the formula, L′ K is the second integral scale parameter, is the average wind speed.

[0161] Using two wind turbulence models provided by the Renewable Energy Laboratory, eight wind power time series with four typical time distributions (single peak, positive skew, negative skew, and bimodal) are generated. The simulation duration is set to 1800 seconds, the sampling frequency is T = 1s, and the spectral density distribution characteristics of the eight wind power generation are as follows: Figure 7 shown.

[0162] Next, a quantitative evaluation of the hybrid pumped storage system is carried out.

[0163] Firstly, an evaluation index system for the coordinated response performance of the hybrid pumped storage system is constructed, which mainly includes the following seven indicators, including the guide vane action distance of the fixed-speed / variable-speed pumped storage unit (L y1 and L y2 ), power fluctuation level of fixed speed / variable speed pumped storage units (MWFI1 and MWFI2 respectively), fatigue damage coefficient of pressure pipe of fixed speed / variable speed pumped storage system (D id1 and D id2 ) and the mean square error of the system frequency on the grid side f RMS .

[0164] Then, the weight of each evaluation index is calculated by the AHF-EW-CV subjective and objective multidimensional evaluation method. Among them, the hierarchical analysis method requires that the factors within the same level be sorted and compared with the factors at a higher level. This sorting is based on the physical definitions of multiple indicators and their numerical differences. Single-level sorting means that within the same level, a relative importance scale is selected as a benchmark to compare the importance of each factor. The elements of the judgment matrix are calibrated according to a scale of 1 to 9, as shown in Table 3. The matrix elements The value range of is from 1 to 9, indicating the importance of each evaluation index in the pairwise comparison. The judgment matrix shown in Table 4 is established.

[0165] Table 3

[0166]

[0167] Table 4

[0168]

[0169] The expert judgment matrix established is as follows Figure 8 As shown in Figure 3, all judgment matrices passed the consistency check.

[0170] Based on eight wind fluctuation scenarios and the evaluation matrix of four experts, the main indicator characteristics of the hybrid pumped storage unit are calculated, and the estimated values ​​of the comprehensive indicator weights of the analytic hierarchy process (AHP), entropy weight method (EW) and coefficient of variation method (CV) are listed in Table 5.

[0171] Table 5

[0172]

[0173] From the obtained weight values, it can be seen that experts believe that the mean square error of system frequency is the most critical indicator in the pumped-storage regulation process, while the change in the fatigue damage coefficient of the pressure pipeline is relatively less important in the short-term regulation process, which shows the importance of the frequency regulation performance of the pumped-storage unit on the second-level regulation scale. In addition, the weight calculation results of each evaluation index of the variable-speed pumped-storage unit are always higher than those of the fixed-speed pumped-storage unit, indicating that the dynamic indicators of the variable-speed pumped-storage unit change greatly during the synchronous regulation process, and the evaluation process should be taken seriously. In summary, the AHF-EW-CV subjective and objective combined weight evaluation method proposed in this application can effectively reflect the importance of frequency regulation, capture key objects and balance their wear performance. This combined calculation method can make up for the shortcomings of the subjective evaluation method and give full play to its comprehensive evaluation of comprehensive synergistic performance.

[0174] Based on the calculation of the combined weights, the coordinated response performance score of the hybrid pumped storage system is calculated. Fig. 9 Given in, where S0 / S R0 、S1 / S R1 and S C / S RC They are different control methods adopted by the system. The subscript 0 is a linear model, which corresponds to the nonlinear model of the pumped storage system considering the speed limit adjustment.

[0175] By comparing two wind turbulence models (A series (including A1~A4) and B series (including B1~B4)), it is found that the coordinated response performance score of the system under A series is generally higher than that of B series. The minimum values ​​of each series appear in the A2 and B3 scenarios respectively. This is due to the higher power spectrum density of wind power generation series B. The increase in the fluctuating energy of wind power generation brings more uncertainty to the system, resulting in a decrease in the coordinated response performance score. Specifically, in all cases, the highest score appears in A1-S C (score of 100), and the lowest score was found in B3-S0 (score of 36.52). C The score is always the highest, followed by S RC , and S C Compared with the previous period, the score decreased by 1.22%-7.19%. This shows that in the hybrid pumped storage system, the variable speed pumped storage unit takes on more regulation tasks and sacrifices its own wear performance to respond to frequency fluctuations, resulting in a decrease in the coordinated response performance score of the hybrid pumped storage system.

[0176] Then, different variable speed pumped storage system participation scenarios under two pumped storage system models are evaluated. Fig.10, the results show that as the variable speed unit participates in regulation, the system comprehensive regulation performance score initially increases, then decreases, and finally stabilizes. At the same time, the system frequency deviation index continues to decrease. This shows that after considering the regulation wear of the system, the system comprehensive frequency regulation performance and the frequency deviation index no longer show the same trend. Specifically, from left to right: in the first two cases, the comprehensive frequency regulation score changes significantly, and f RMS The system comprehensive regulation performance scores of the following four scenarios gradually decreased, and the numerical fluctuations remained within 5%. RMS It continues to show a downward trend. The dynamic behavior of the hybrid pumped storage system is further explained: when the regulation task of the variable-speed pumped storage unit gradually increases, the various wear indicators generated in its regulation process increase. At the same time, it is limited by its capacity. At this time, the frequency suppression effect of the hybrid system reaches the limit of its ability to be exerted, and it cannot be well balanced with the wear of each unit, resulting in a decrease in the system's comprehensive frequency regulation score. Similarly, when the variable-speed pumped storage unit participates in the regulation to a low degree, the regulation task is dominated by the conventional speed regulation system, and the system frequency regulation quality is relatively reduced. The above results effectively demonstrate the comprehensiveness of the comprehensive frequency regulation performance evaluation method and system of the hybrid pumped storage system, and can provide a reliable analysis method for the safe operation and optimal regulation of the pumped storage system.

[0177] The embodiment of the present application provides a method for evaluating the comprehensive frequency regulation performance of a hybrid pumped storage system taking into account regulation wear. The method obtains an evaluation index system for reflecting the performance regulation state of the hybrid pumped storage system to be evaluated, and uses the analytic hierarchy process, entropy weight method and coefficient of variation method to calculate the weights corresponding to each evaluation index in the evaluation index system. Finally, the hybrid pumped storage system to be evaluated is evaluated according to each evaluation index and the weight corresponding to each evaluation index. The present application can evaluate the coordinated response state of the hybrid pumped storage system to be evaluated, comprehensively evaluate the coordinated response performance of the system taking into account the regulation wear and frequency recovery effect of the system, and accurately evaluate the performance of the hybrid pumped storage system to be evaluated, provide reasonable decision-making support for the optimization of the scheduling strategy of the hybrid pumped storage system to be evaluated, and improve the operational safety and economy of the pumped storage system.

[0178] The comprehensive frequency regulation performance evaluation system of a hybrid pumped storage system considering adjustment wear provided in the present application is described below. The comprehensive frequency regulation performance evaluation system of a hybrid pumped storage system considering adjustment wear described below and the comprehensive frequency regulation performance evaluation method of a hybrid pumped storage system considering adjustment wear described above can be referenced to each other.

[0179] Please see further Fig.11The embodiment of the present application provides a comprehensive frequency regulation performance evaluation of a hybrid pumped storage system taking into account regulation wear, which may include: a first acquisition module 1110, a second acquisition module 1120 and an evaluation module 1130.

[0180] A first acquisition module 1110 is used to acquire an evaluation index system for reflecting the performance adjustment state of the hybrid pumped storage system to be evaluated;

[0181] The second acquisition module 1120 is used to calculate the first weight corresponding to each evaluation indicator in the evaluation indicator system by using the hierarchical analysis method, calculate the second weight corresponding to each evaluation indicator by using the entropy weight method, and calculate the third weight corresponding to each evaluation indicator by using the coefficient of variation method;

[0182] The evaluation module 1130 is used to evaluate the hybrid pumped storage system to be evaluated according to the evaluation indicators, the first weight, the second weight and the third weight.

[0183] The embodiment of the present application provides a comprehensive frequency regulation performance evaluation system for a hybrid pumped storage system that takes into account regulation wear. The evaluation index system is obtained to reflect the performance regulation state of the hybrid pumped storage system to be evaluated, and the weights corresponding to each evaluation index in the evaluation index system are calculated using the analytic hierarchy process, entropy weight method, and coefficient of variation method. Finally, the hybrid pumped storage system to be evaluated is evaluated based on each evaluation index and the weight corresponding to each evaluation index. The present application can evaluate the coordinated response state of the hybrid pumped storage system to be evaluated, comprehensively evaluate the coordinated response performance of the system that takes into account the regulation wear and frequency recovery effect of the system, and accurately evaluate the performance of the hybrid pumped storage system to be evaluated, provide reasonable decision-making support for the optimization of the scheduling strategy of the hybrid pumped storage system to be evaluated, and improve the operational safety and economy of the pumped storage system.

[0184] It can be understood that the detailed functional implementation of each of the above-mentioned units / modules can be found in the introduction of the aforementioned method embodiment, and will not be repeated here.

[0185] It should be understood that the above-mentioned device is used to execute the method in the above-mentioned embodiment. The implementation principle and technical effect of the corresponding program module in the device are similar to those described in the above-mentioned method. The working process of the device can refer to the corresponding process in the above-mentioned method, which will not be repeated here.

[0186] Based on the method in the above embodiment, the present application embodiment provides an electronic device, see Fig.12The electronic device may include: a processor 1210, a communication interface 1220, a memory 1230 and a communication bus 1240, wherein the processor 1210, the communication interface 1220 and the memory 1230 communicate with each other via the communication bus 1240. The processor 1210 may call the logic instructions in the memory 1230 to execute the method in the above embodiment.

[0187] In addition, the logic instructions in the above-mentioned memory 1230 can be implemented in the form of software functional units and can be stored in a computer-readable storage medium when sold or used as an independent product. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product, which is stored in a storage medium and includes a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present application.

[0188] Based on the method in the above embodiment, an embodiment of the present application provides a computer-readable storage medium, which stores a computer program. When the computer program runs on a processor, the processor executes the method in the above embodiment.

[0189] Based on the method in the above embodiment, an embodiment of the present application provides a computer program product. When the computer program product runs on a processor, the processor executes the method in the above embodiment.

[0190] It is understandable that the processor in the embodiment of the present application may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field programmable gate arrays (FPGA) or other programmable logic devices, transistor logic devices, hardware components or any combination thereof. The general-purpose processor may be a microprocessor or any conventional processor.

[0191] The method steps in the embodiments of the present application can be implemented by hardware or by a processor executing software instructions. The software instructions can be composed of corresponding software modules, and the software modules can be stored in random access memory (RAM), flash memory, read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), registers, hard disks, mobile hard disks, CD-ROMs, or any other form of storage medium known in the art. An exemplary storage medium is coupled to a processor so that the processor can read information from the storage medium and write information to the storage medium. Of course, the storage medium can also be a component of the processor. The processor and the storage medium can be located in an ASIC.

[0192] In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented using software, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions may be stored in a computer-readable storage medium or transmitted through the computer-readable storage medium. The computer instructions may be transmitted from a website site, a computer, a server or a data center to another website site, a computer, a server or a data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium may be any available medium that a computer can access or a data storage device such as a server or a data center that includes one or more available media integrated. The available medium may be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a solid-state drive (SSD)), etc.

[0193] It should be understood that the various numerical numbers involved in the embodiments of the present application are only used for the convenience of description and are not used to limit the scope of the embodiments of the present application.

[0194] It will be easily understood by those skilled in the art that the above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present application shall be included in the scope of protection of the present application.

Claims

1. A method for evaluating the comprehensive frequency regulation performance of a hybrid pumped storage system considering regulation wear, characterized in that: include: Obtaining an evaluation index system for reflecting the performance regulation state of the hybrid pumped storage system to be evaluated; The first weight corresponding to each evaluation indicator in the evaluation indicator system is calculated by using the hierarchical analysis method, the second weight corresponding to each evaluation indicator is calculated by using the entropy weight method, and the third weight corresponding to each evaluation indicator is calculated by using the coefficient of variation method; The hybrid pumped-storage system to be evaluated is evaluated according to the evaluation indicators, the first weight, the second weight and the third weight.

2. The method according to claim 1, characterized in that The method of using the hierarchical analysis method to calculate the first weight corresponding to each evaluation indicator in the evaluation indicator system includes: Using a single-level sorting method, determining each element in a judgment matrix that satisfies a consistency check, so as to construct the judgment matrix; Obtaining the eigenvector of the judgment matrix; The characteristic vector is normalized to obtain the first weight corresponding to each evaluation index.

3. The method according to claim 1, characterized in that The method of using the entropy weight method to calculate the second weight corresponding to each evaluation index includes: Standardize each evaluation index to obtain a standard data set; According to the standard data set, the feature weights corresponding to the evaluation indicators are obtained; According to the feature weights, obtaining entropy values ​​corresponding to the evaluation indicators; According to the entropy value, second weights corresponding to the evaluation indicators are obtained.

4. The method according to claim 1, characterized in that The method of using the coefficient of variation method to calculate the third weight corresponding to each evaluation index includes: According to the standard deviation of each evaluation index and the mean value after standardization of each evaluation index, the coefficient of variation of each evaluation index is obtained; According to the coefficient of variation, third weights corresponding to the evaluation indicators are obtained.

5. The method according to claim 1, characterized in that The step of evaluating the hybrid pumped-storage system to be evaluated according to the evaluation indicators, the first weight, the second weight and the third weight includes: The first weight, the second weight and the third weight are combined by using a nonlinear weighting method to obtain a combined weight corresponding to each evaluation index; Obtaining an evaluation score of the hybrid pumped-storage system to be evaluated according to each evaluation indicator and a combination weight corresponding to each evaluation indicator; The hybrid pumped-storage system to be evaluated is evaluated according to the evaluation score.

6. The method according to any one of claims 1 to 5, characterized in that: When the hybrid pumped storage system to be evaluated is composed of a conventional pumped storage unit and a variable speed pumped storage unit, the evaluation index system includes: The mean square error of the system frequency corresponding to the grid side connected to the hybrid pumped-storage system to be evaluated, the power fluctuation level, the guide vane action distance and the pressure pipe fatigue damage coefficient corresponding to the conventional pumped-storage unit and the variable-speed pumped-storage unit respectively.

7. A hybrid pumped storage system comprehensive frequency regulation performance evaluation system considering regulation wear, characterized in that: include: A first acquisition module is used to acquire an evaluation index system for reflecting the performance adjustment state of the hybrid pumped storage system to be evaluated; A second acquisition module is used to calculate the first weight corresponding to each evaluation indicator in the evaluation indicator system by using the hierarchical analysis method, calculate the second weight corresponding to each evaluation indicator by using the entropy weight method, and calculate the third weight corresponding to each evaluation indicator by using the coefficient of variation method; An evaluation module is used to evaluate the hybrid pumped-storage system to be evaluated according to each of the evaluation indicators, the first weight, the second weight and the third weight.

8. An electronic device, characterized in that: include: at least one memory for storing a computer program; At least one processor is used to execute the program stored in the memory. When the program stored in the memory is executed, the processor is used to execute the method according to any one of claims 1 to 6.

9. A computer-readable storage medium storing a computer program, characterized in that: When the computer program runs on a processor, the processor is caused to execute the method according to any one of claims 1 to 6.

10. A computer program product, characterized in that When the computer program product runs on a processor, the processor is caused to execute the method according to any one of claims 1 to 6.

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