Pumping storage unit operation intensity evaluation method, system, equipment and medium

Abstract

A pumped storage unit operation intensity evaluation method, system, device and medium, and the method comprises the steps: building a judgment matrix based on each factor and each index influencing the operation intensity of each pumped storage unit, and carrying out the single-layer feature vector calculation and combined feature quantity calculation to obtain a first feature vector and a second feature vector of each factor, based on the first feature vector and the second feature vector of each factor, a first weight of each index of each pumped storage unit is calculated by using an analytic hierarchy process; based on the actual operation data of each pumping and storage unit and the first weight, an entropy weight method is used for calculation, and the operation intensity of each pumping and storage unit is obtained; single-layer feature vector and combined feature vector calculation is carried out on each pumping and storage unit, the actual operation condition of each unit is better met, understanding of the operation condition of the pumping and storage unit can be enhanced, and a powerful basis is provided for unit state maintenance; the analytic hierarchy process and the entropy weight method are utilized to evaluate the operation intensity, so that the calculation result is more objective and accurate, and the operation state of the unit can be timely mastered.

Description

Technical Field

[0001] The present application relates to the field of performance evaluation of pumped storage units, and specifically to a method, system, equipment and medium for evaluating the operating intensity of a pumped storage unit. Background Art

[0002] As the installed capacity of new energy continues to increase, the pressure to absorb new energy also increases. Pumped storage, as the most mature technology, the most economical, the most large-scale development conditions, and the longest life cycle of green, low-carbon and flexible power sources, plays an important role in the absorption of new energy. While pumped storage is developing rapidly, the operating intensity of the units is also increasing. An accurate evaluation of the operating intensity of the units can enhance the understanding of the operating conditions of the pumped storage units, guide the operation and maintenance of the units, and provide a strong basis for the status maintenance of the units. An accurate evaluation of the operating intensity of the units can timely grasp the operating status of the units, discover safety hazards in operation, and avoid serious equipment failures. It can also provide decision-making assistance for the management of daily operation and maintenance, and improve operational efficiency.

[0003] At present, there is no mature evaluation method in the field of pumped storage unit operation intensity evaluation method. There is a lack of analysis on the relationship between the indicators for judging the operation intensity of pumped storage units. Often, the increase or decrease of the operation intensity is judged only by the year-on-year calculation between the indicators. It is difficult to compare and judge the operation intensity between multiple units, which is highly subjective, resulting in a lack of strong support for the evaluation results.

[0004] Therefore, there is an urgent need to solve the problem of how to evaluate the operating intensity of multiple units in order to grasp the operating status of the units. Summary of the invention

[0005] In order to solve the problem of how to evaluate the operating intensity of multiple units in the prior art to understand the operating status of the units, this application proposes a method for evaluating the operating intensity of pumped storage units, including:

[0006] A judgment matrix is ​​constructed based on various factors and indicators that affect the operation intensity of each pumped storage unit, a single-layer eigenvector calculation and a combined eigenvalue calculation are performed to obtain the first eigenvector and the second eigenvector of each factor, and a first weight of each indicator of each pumped storage unit is calculated using a hierarchical analysis method based on the first eigenvector and the second eigenvector of each factor;

[0007] Based on the actual operation data of each pumped storage unit and the first weight of each indicator of each pumped storage unit, the operation intensity of each pumped storage unit is calculated using the entropy weight method to obtain.

[0008] Preferably, the judgment matrix is ​​constructed based on the factors and indicators that affect the operation intensity of each pumped storage unit, single-layer eigenvector calculation and combined eigenvalue calculation are performed to obtain the first eigenvector and the second eigenvector of each factor, and the first weight of each indicator of each pumped storage unit is calculated by using the hierarchical analysis method based on the first eigenvector and the second eigenvector of each factor, including:

[0009] Based on the relative scales of each factor, a judgment matrix is ​​constructed to calculate the single-layer eigenvector and perform consistency test to obtain the first eigenvector of each factor;

[0010] Based on the relative scales of the indicators under each factor of each pumped storage unit, a judgment matrix is ​​constructed to calculate the combined characteristic quantity and conduct consistency test, and the second characteristic vector of each factor of each pumped storage unit is obtained;

[0011] The first weight of each indicator in each pumped storage unit is obtained by calculation based on the first eigenvector of each factor and the second eigenvector of each factor of each pumped storage unit.

[0012] Preferably, the construction of a judgment matrix based on the relative scales between the factors to perform single-layer eigenvector calculation and consistency check to obtain the first eigenvector of each factor includes:

[0013] Construct a judgment matrix based on the relative scales between factors;

[0014] Perform column vector normalization calculation based on the judgment matrix to obtain a vector matrix;

[0015] Based on the vector matrix, the average value is calculated row by row to obtain the first eigenvector of each factor;

[0016] Calculate based on the vector matrix and the first eigenvector of each factor to obtain the maximum eigenroot;

[0017] The consistency index is obtained by calculating based on the maximum characteristic root and the unique non-zero characteristic root;

[0018] The consistency ratio is obtained by calculating based on the consistency index and the random consistency index;

[0019] The consistency ratio is compared with a set threshold. If it is less than the set threshold, the consistency test is passed; otherwise, the relative scales between the factors are modified and recalculated until the first eigenvector of each factor is obtained by passing the consistency test.

[0020] Preferably, the construction of a judgment matrix based on the relative scales of the indicators under each factor of each pumped storage unit to calculate the combined characteristic quantity and perform consistency test to obtain the second characteristic vector of each factor of each pumped storage unit includes:

[0021] Based on the relative scales of the indicators under the various factors of each pumped storage unit, the judgment matrix of each factor of each pumped storage unit is constructed respectively;

[0022] Calculate based on the judgment matrix of each factor of each pumped storage unit to obtain the maximum characteristic root of each factor of each pumped storage unit and the second characteristic vector of each factor of each pumped storage unit;

[0023] Based on the maximum characteristic root of each factor of each pumped storage unit and the second characteristic vector of each factor of each pumped storage unit, the consistency index of each factor of each pumped storage unit is obtained;

[0024] Based on the consistency index of each factor of each pumped storage unit and the random consistency index, the total consistency ratio of each pumped storage unit is obtained;

[0025] The total consistency ratio of each pumped storage unit is compared with the set threshold. If it is less than the set threshold, the consistency test is passed; otherwise, the relative scale between the indicators is modified and recalculated until the second eigenvector of each factor of each pumped storage unit is obtained through the consistency test.

[0026] Preferably, the first weights based on the actual operation data of each pumped storage unit and each indicator of each pumped storage unit are calculated using an entropy weight method to obtain the operation intensity of each pumped storage unit, including:

[0027] Performing weighted calculation based on actual operation data of each pumped storage unit and first weights of each index of each pumped storage unit to obtain weighted index values ​​of each pumped storage unit;

[0028] Percentile processing is performed based on the weighted index values ​​of each pumped storage unit to obtain the index values ​​of each pumped storage unit after percentage processing;

[0029] Based on the percentage-based index values ​​of each pumped storage unit, the entropy weight method is used to perform standardization processing to obtain the index values ​​of each pumped storage unit after standardization processing;

[0030] Calculate the proportion of each indicator in each pumped storage unit based on the index value of each pumped storage unit after standardization;

[0031] The information entropy of each indicator is calculated based on its proportion in each pumped storage unit to obtain the information entropy of each indicator;

[0032] The weight is calculated based on the information entropy of each indicator to obtain the second weight of each indicator;

[0033] The operation intensity of each pumped storage unit is obtained by performing calculation based on the second weight of each indicator and each indicator value of each pumped storage unit after percentage division.

[0034] Preferably, the factors include: one or more of top cover vibration, water guide swing, waterwheel chamber noise, upper frame vibration, upper guide swing and generator layer noise.

[0035] Preferably, the indicators include: one or more of the number of pumping starts, the number of power generation starts, the pumping operation time, and the power generation operation time.

[0036] Based on the same application concept, this application also proposes a pumped storage unit operation intensity evaluation system, including:

[0037] A characteristic vector calculation module is used to construct a judgment matrix based on various factors and indicators that affect the operation intensity of each pumped storage unit, perform single-layer characteristic vector calculation and combined characteristic quantity calculation to obtain the first characteristic vector and the second characteristic vector of each factor, and use the hierarchical analysis method to calculate the first weight of each indicator of each pumped storage unit based on the first characteristic vector and the second characteristic vector of each factor;

[0038] The operation intensity calculation module is used to calculate the operation intensity of each pumped storage unit based on the actual operation data of each pumped storage unit and the first weight of each indicator of each pumped storage unit using the entropy weight method.

[0039] Preferably, the feature vector calculation module includes:

[0040] The first eigenvector calculation submodule is used to construct a judgment matrix based on the relative scales between the factors to perform single-layer eigenvector calculation and consistency test to obtain the first eigenvector of each factor;

[0041] The second eigenvector calculation submodule is used to construct a judgment matrix based on the relative scales between the indicators of each pumped storage unit under each factor to calculate the combined characteristic quantity and perform consistency test to obtain the second eigenvector of each factor of each pumped storage unit;

[0042] The first weight calculation submodule is used to calculate based on the first eigenvector of each factor and the second eigenvector of each factor of each pumped storage unit to obtain the first weight of each indicator in each pumped storage unit.

[0043] Preferably, the first feature vector calculation submodule is specifically used for:

[0044] Construct a judgment matrix based on the relative scales between factors;

[0045] Perform column vector normalization calculation based on the judgment matrix to obtain a vector matrix;

[0046] Based on the vector matrix, the average value is calculated row by row to obtain the first eigenvector of each factor;

[0047] Calculate based on the vector matrix and the first eigenvector of each factor to obtain the maximum eigenroot;

[0048] The consistency index is obtained by calculating based on the maximum characteristic root and the unique non-zero characteristic root;

[0049] The consistency ratio is obtained by calculating based on the consistency index and the random consistency index;

[0050] The consistency ratio is compared with a set threshold. If it is less than the set threshold, the consistency test is passed; otherwise, the relative scales between the factors are modified and recalculated until the first eigenvector of each factor is obtained by passing the consistency test.

[0051] Preferably, the second feature vector calculation submodule is specifically used for:

[0052] Based on the relative scales of the indicators under the various factors of each pumped storage unit, the judgment matrix of each factor of each pumped storage unit is constructed respectively;

[0053] Calculate based on the judgment matrix of each factor of each pumped storage unit to obtain the maximum characteristic root of each factor of each pumped storage unit and the second characteristic vector of each factor of each pumped storage unit;

[0054] Based on the maximum characteristic root of each factor of each pumped storage unit and the second characteristic vector of each factor of each pumped storage unit, the consistency index of each factor of each pumped storage unit is obtained;

[0055] Based on the consistency index of each factor of each pumped storage unit and the random consistency index, the total consistency ratio of each pumped storage unit is obtained;

[0056] The total consistency ratio of each pumped storage unit is compared with the set threshold. If it is less than the set threshold, the consistency test is passed; otherwise, the relative scale between the indicators is modified and recalculated until the second eigenvector of each factor of each pumped storage unit is obtained through the consistency test.

[0057] Preferably, the operation intensity calculation module is specifically used for:

[0058] Performing weighted calculation based on actual operation data of each pumped storage unit and first weights of each index of each pumped storage unit to obtain weighted index values ​​of each pumped storage unit;

[0059] Percentile processing is performed based on the weighted index values ​​of each pumped storage unit to obtain the index values ​​of each pumped storage unit after percentage processing;

[0060] Based on the percentage-based index values ​​of each pumped storage unit, the entropy weight method is used to perform standardization processing to obtain the index values ​​of each pumped storage unit after standardization processing;

[0061] Calculate the proportion of each indicator in each pumped storage unit based on the index value of each pumped storage unit after standardization;

[0062] The information entropy of each indicator is calculated based on its proportion in each pumped storage unit to obtain the information entropy of each indicator;

[0063] The weight is calculated based on the information entropy of each indicator to obtain the second weight of each indicator;

[0064] The operation intensity of each pumped storage unit is obtained by performing calculation based on the second weight of each indicator and each indicator value of each pumped storage unit after percentage division.

[0065] Preferably, the factors in the characteristic vector calculation module include: one or more of top cover vibration, water guide swing, waterwheel chamber noise, upper frame vibration, upper guide swing and generator layer noise.

[0066] Preferably, the indicators in the characteristic vector calculation module include: one or more of the number of pumping starts, the number of power generation starts, the pumping operation time, and the power generation operation time.

[0067] On the other hand, the present application also proposes an electronic device, comprising: at least one processor and a memory; the memory and the processor are connected via a bus;

[0068] The memory is used to store one or more programs;

[0069] When the one or more programs are executed by the at least one processor, a method for evaluating the operating intensity of a pumped storage unit as described above is implemented.

[0070] On the other hand, the present application further proposes a readable storage medium having an execution program stored thereon, and when the execution program is executed, a method for evaluating the operating intensity of a pumped storage unit as described above is implemented.

[0071] Compared with the prior art, the beneficial effects of this application are:

[0072] A method, system, device and medium for evaluating the operating intensity of a pumped storage unit, comprising: constructing a judgment matrix based on factors and indicators that affect the operating intensity of each pumped storage unit, performing single-layer eigenvector calculation and combined eigenvalue calculation to obtain a first eigenvector and a second eigenvector of each factor, and using a hierarchical analysis method to calculate a first weight of each indicator of each pumped storage unit based on the first eigenvector and the second eigenvector of each factor; using an entropy weight method to calculate based on actual operating data of each pumped storage unit and the first weight of each indicator of each pumped storage unit to obtain the operating intensity of each pumped storage unit; the application performs a judgment on each pumped storage unit based on the first eigenvector and the second eigenvector of each factor. The pumped storage units all use the hierarchical analysis method to calculate single-layer eigenvectors and combined eigenvectors. The obtained weights are more in line with the actual operating conditions of each unit, which can enhance the understanding of the operating conditions of the pumped storage units, guide the unit operation and maintenance, and provide a strong basis for the unit status maintenance; the hierarchical analysis method and entropy weight method are used for operating intensity evaluation, which makes the calculation results more objective and accurate, and realizes real-time operating intensity evaluation of multiple units. It can timely grasp the operating status of the units, discover operating safety hazards, and avoid serious equipment failures; it can also provide decision-making assistance for the management of daily operation and maintenance, and improve operational efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0073] Figure 1 A flow chart of a method for evaluating the operating strength of a pumped storage unit in this application;

[0074] Figure 2 This is a schematic diagram of the hierarchical structure of this application;

[0075] Figure 3 This is the overall design process framework diagram of this application;

[0076] Figure 4 This is a structural diagram of a pumped storage unit operation intensity evaluation system of the present application;

[0077] Figure 5 A diagram of an electronic device for the present application. DETAILED DESCRIPTION

[0078] During the pumping start, power generation start, pumping operation, and power generation operation of the unit, the vibration of the top cover, the water guide swing, the waterwheel room noise, the upper frame vibration, the upper guide swing, and the generator layer noise have different performances. The larger these data indicators are, the greater the damage to the unit equipment. According to the degree of influence of these data in the four processes of pumping start, power generation start, pumping operation, and power generation operation, weights are attached, and the four indicators of the number of pumping starts, the number of power generation starts, the duration of pumping operation, and the duration of power generation operation are linked to each other, and the meaning behind the data is excavated to better evaluate the operating intensity of the pumped storage unit. In order to better understand this application, the content of this application is further explained below in conjunction with the drawings and embodiments of the specification.

[0079] Embodiment 1:

[0080] A method for evaluating the operating strength of a pumped storage unit, the specific process is as follows: Figure 1 As shown, including:

[0081] Step 1, constructing a judgment matrix based on the factors and indicators that affect the operation intensity of each pumped storage unit, performing single-layer eigenvector calculation and combined eigenvalue calculation to obtain the first eigenvector and the second eigenvector of each factor, and using the hierarchical analysis method to calculate the first weight of each indicator of each pumped storage unit based on the first eigenvector and the second eigenvector of each factor;

[0082] Step 2: Based on the actual operation data of each pumped storage unit and the first weight of each indicator of each pumped storage unit, the entropy weight method is used to calculate to obtain the operation intensity of each pumped storage unit.

[0083] The analytic hierarchy process in the prior art divides the decision-making goals, factors to be considered or decision-making criteria and decision-making plans into the highest level, the middle level and the lowest level according to the relationship between them. The highest level: the purpose of decision-making and the problem to be solved; the middle level: the factors to be considered and the decision-making criteria; the lowest level: the alternative plans for decision-making.

[0084] This application draws on the analytic hierarchy process. The bottom layer is the four key indicators that affect the operating intensity of the pumped storage unit, namely the number of pumping starts, the number of power generation starts, the pumping operation time, and the power generation operation time; the middle layer selects the top cover vibration, water guide swing, water wheel room noise, upper frame vibration, upper guide swing, and generator layer noise as decision-making criteria; the top layer is different. It does not select one indicator with the greatest impact from the number of pumping starts, the number of power generation starts, the pumping operation time, and the power generation operation time, but assigns weights to these four indicators to prepare for subsequent calculations such as Figure 2 As shown; and the present application not only calculates the single-layer feature vector, but also further calculates the combined feature vector, and calculates the weight according to the calculation results of the single-layer feature vector and the calculation results of the combined feature vector.

[0085] Combine the following Figure 3 The flowchart shown is used to further introduce this embodiment:

[0086] In step 1, a judgment matrix is ​​constructed based on the factors and indicators that affect the operation intensity of each pumped storage unit, a single-layer eigenvector calculation and a combined eigenvalue calculation are performed to obtain the first eigenvector and the second eigenvector of each factor, and a first weight of each indicator of each pumped storage unit is calculated using the hierarchical analysis method based on the first eigenvector and the second eigenvector of each factor, specifically including:

[0087] Based on the relative scales of the factors, a judgment matrix is ​​constructed to calculate the single-layer eigenvector and perform consistency test to obtain the first eigenvector of each factor, including:

[0088] The consistent matrix method is adopted. Instead of comparing all factors together, they are compared in pairs. At this time, relative scale is used to minimize the difficulty of comparing factors of different natures and improve accuracy. During the pumping start, power generation start, pumping operation, and power generation operation of the pumped storage unit, the top cover vibration, water guide swing, water wheel room noise, upper frame vibration, upper guide swing, and generator layer noise can be used as the judgment indicators affecting the unit operation intensity.

[0089]

[0090] In the formula, a ij =A i / A j ; A=(a ij ) n*n ; i=1,2,…,6; j=1,2,…,6; and a ij >0,a ij =1 / a ij . A i is the i-th factor; A j is the jth factor; a ij is the element in the i-th row and j-th column of the matrix; i is the order of the elements; j is the order of the elements.

[0091] For the convenience of explanation, the judgment matrix A is constructed as follows:

[0092]

[0093] Matrix A is a 6*6 matrix. It is difficult to solve the maximum eigenvalues ​​and eigenvectors. The simplified calculation method of the maximum eigenvalues ​​and eigenvectors of the reciprocal matrix is ​​used to normalize the column vectors to obtain the vector matrix:

[0094]

[0095] Calculate the average value by row to get the first eigenvector of each factor:

[0096]

[0097] Since AW=λW, we can calculate:

[0098]

[0099]

[0100] The maximum characteristic root λ=6.0060 is obtained.

[0101] The consistency index CI is defined as:

[0102]

[0103] Where λ is the largest eigenvalue; n is the only non-zero eigenvalue. CI = 0, there is complete consistency; CI is close to 0, there is satisfactory consistency; the larger the CI, the more serious the inconsistency.

[0104] In order to measure the size of CI, the random consistency index RI table is introduced as follows:

[0105] n 1 2 3 4 5 6 7 8 9 10 11 RI 0 0 0.58 0.90 1.12 1.24 1.32 1.41 1.45 1.49 1.51

[0106] Table 1 Random consistency index RI table

[0107] Perform a consistency check on matrix A and calculate the consistency index based on the maximum eigenvalue and the unique non-zero eigenvalue:

[0108]

[0109] The random consistency index RI is 1.24.

[0110] The consistency ratio is obtained by calculating based on the consistency index and the random consistency index;

[0111] The consistency ratio is compared with a set threshold. If it is less than the set threshold, the consistency test is passed; otherwise, the relative scales between the factors are modified and recalculated until the first eigenvector of each factor is obtained by passing the consistency test.

[0112] The consistency ratio CR=0.0012 / 1.24=0.00097<0.1.

[0113] In this embodiment, the threshold is set to 0.1, and the consistency check passes.

[0114] Based on the relative scales of the indicators under each factor of each pumped storage unit, a judgment matrix is ​​constructed to calculate the combined characteristic quantity and perform consistency test, and the second characteristic quantity of each factor of each pumped storage unit is obtained, including:

[0115] When constructing the judgment matrix of the six factors of top cover vibration A1, water guide swing A2, water wheel room noise A3, upper frame vibration A4, upper guide swing A5 and generator layer noise A6 for the number of pumping starts, the number of power generation starts, the pumping operation time and the power generation operation time, taking the top cover vibration as an example, the average value of the top cover vibration during a normal pumping start, the average value of the top cover vibration during a normal power generation start, the average value of the top cover vibration per hour of power generation operation and the average value of the top cover vibration per hour of pumping operation can be selected as reference values ​​for comparison.

[0116] Assume that the judgment matrices of the pumping start times, power generation start times, pumping operation time, and power generation operation time for the top cover vibration, water guide swing, waterwheel room noise, upper frame vibration, upper guide swing, and generator layer noise are as follows:

[0117]

[0118]

[0119] Find the maximum eigenroot and second eigenvector of the six factors: top cover vibration, water guide swing, water wheel room noise, upper frame vibration, upper guide swing, and generator layer noise:

[0120] Eigenvalue <![CDATA[Top cover vibration λ1]]> <![CDATA[Guide vane swing λ2]]> <![CDATA[Noise of the waterwheel chamber λ3]]> <![CDATA[Upper frame vibration λ4]]> <![CDATA[Upper guide swing λ5]]> <![CDATA[Generator floor noise λ6]]> λ 4.000015346 4.000130598 4.000472992 4.000015328 4.00310231 4.001484261

[0121] Table 2 Maximum characteristic root table

[0122] The second characteristic quantity of each factor is:

[0123]

[0124] Perform a total sort consistency check:

[0125]

[0126]

[0127] Table 3 Total ranking table

[0128] Based on the maximum characteristic root of each factor of each pumped storage unit and the second characteristic vector of each factor of each pumped storage unit, the consistency index of each factor of each pumped storage unit is obtained;

[0129] Based on the consistency index of each factor of each pumped storage unit and the random consistency index, the total consistency ratio of each pumped storage unit is obtained;

[0130] The total consistency ratio of each pumped storage unit is compared with the set threshold. If it is less than the set threshold, the consistency test is passed; otherwise, the relative scale between the indicators is modified and recalculated until the second eigenvector of each factor of each pumped storage unit is obtained through the consistency test.

[0131] Consistency ratio CR =

[0132] (0.2101*0.0000051153+0.1877*0.0000435327+0.0914*0.0001576640+0.2095*0.0000051093+0.2095*0.0010341033+0.0918*0.0004947537)

[0133] / 0.90=0.000318<0.1.

[0134] The total hierarchical ordering passes the consistency check.

[0135] Based on the first eigenvector of each factor and the second eigenvector of each factor of each pumped storage unit, the first weight of each indicator in each pumped storage unit is obtained, including:

[0136] Taking into account the actual situation, the weights of the four indicators of pumping start times, power generation start times, pumping operation time, and power generation operation time of different units are inconsistent. The weight should be calculated for each unit using the above method to obtain the weight of each unit. For the convenience of explanation, the subsequent calculations assume that the weights of the units are consistent, and the calculation results are all as follows.

[0137] The first weight W1 of the number of pumping starts is: 0.2101*0.4033+0.1877*0.5033+0.0914*0.4474+0.2095*0.4033+0.2095*0.3018+0.0918*0.4367=0.4079.

[0138] The first weight W2 of the number of power generation starts is: 0.2101*0.3398+0.1877*0.2350+0.0914*0.3889+0.2095*0.3398+0.2095*0.5059+0.0918*0.3947=0.3644.

[0139] The first weight W3 of the pumping operation time is: 0.2101*0.1399+0.1877*0.1358+0.0914*0.0874+0.2095*0.1171+0.2095*0.0809+0.0918*0.0762=0.1114.

[0140] The first weight W4 of the power generation operation time is: 0.2101*0.1171+0.1877*0.1258+0.0914*0.0762+0.2095*0.1399+0.2095*0.1115+0.0918*0.0924=0.1163.

[0141] In step 2, the operation intensity of each pumped storage unit is obtained by calculating based on the actual operation data of each pumped storage unit and the first weight of each indicator of each pumped storage unit using the entropy weight method, which specifically includes:

[0142] The following is a detailed explanation of the calculation of specific data. The operating data of four power stations in a certain year are selected as shown in the following table:

[0143] Power Station Pumping start times Number of power generation starts Pumping operation time Power generation operation time Unit 1 of Power Plant A 249 245 989.10 856.00 Unit 2 of Power Plant A 339 330 1324.22 1130.80 Unit 3 of A Power Station 351 328 1378.96 1167.40 Unit 4 of Power Plant B 348 335 1431.09 1226.48 Unit 1 of Power Plant B 303 268 1085.66 907.14 Unit 2 of Power Plant B 488 478 1709.72 1646.65 Unit 3 of Power Plant B 471 450 1649.38 1549.32 Unit 4 of Power Plant B 405 412 1333.24 1398.97 Unit 1 of C Power Station 377 368 1836.51 1596.65 Unit 2 of C Power Station 362 326 1817.58 1453.47 Unit 3 of C Power Station 378 413 1889.40 1850.62 Unit 4 of C Power Station 333 327 1631.89 1381.81 D Power Station Unit 1 368 357 1647.15 1466.13 D Power Station Unit 2 261 252 1257.21 1103.14 D Power Station Unit 3 331 324 1542.94 1394.52 Unit 4 of D Power Station 374 341 1700.66 1435.06

[0144] Table 4 Actual operation data of each pumped storage unit

[0145] Substitute W1, W2, W3, and W4 into the calculation to obtain the weighted number of pumping starts, number of power generation starts, pumping operation time, and power generation operation time.

[0146]

[0147]

[0148] Table 5 Weighted index value data table

[0149] When the number of pumping starts, the number of power generation starts, the pumping operation time, and the power generation operation time are all 0, the operating intensity of the unit is 0. When the number of pumping starts, the number of power generation starts, the pumping operation time, and the power generation operation time are all maximum values, the operating intensity of the unit is 100. The data is percentage processed according to the following formula.

[0150]

[0151] In the formula, y gl is the index value after percentage division; x gl is the index of a certain unit, g=1,2,,…N, g is the unit ranking, N is the total number of units, l=1,2,3,4 is the index ranking; max(x g ) is the maximum value of the indicator.

[0152] The index values ​​of each pumped storage unit after percentage division are as follows:

[0153]

[0154]

[0155] Table 6 The index values ​​of each pumped storage unit after percentile analysis are standardized using the following formula according to the entropy weight method:

[0156]

[0157] In the formula, z gl is the index value after standardization; ygl is the index value after percentage division; max(y g ) is the maximum index in the g-th unit; min(y g ) is the minimum index in the g-th unit.

[0158]

[0159]

[0160] Table 7 Table of index values ​​of each pumped storage unit after standardization The proportion P of each index in all units is calculated as follows:

[0161]

[0162] In the formula, p gl is the proportion of each indicator in each pumped storage unit; gl are the index values ​​after standardization; g is the unit ranking, and N is the total number of units.

[0163]

[0164]

[0165] Table 8 The proportion of each indicator in each pumped storage unit is calculated according to the following formula:

[0166]

[0167] In the formula, E l is the information entropy of the lth indicator; g is the unit ranking, N is the total number of units; p gl It is the proportion of each indicator in each pumped storage unit.

[0168] When p gl = 0, p gl lnp gl =0.

[0169] index Pumping start times Number of power generation starts Pumping operation time Power generation operation time Information Entropy 0.9337 0.9175 0.9423 0.9356

[0170] Table 9 Information entropy table of each indicator

[0171] The second weight of each indicator is calculated as follows:

[0172]

[0173] In the formula, w l is the second weight of the lth indicator; E l is the information entropy of the lth indicator; k is the number of indicators; k = 4, and the weight of each indicator is obtained.

[0174] index Pumping start times Number of power generation starts Pumping operation time Power generation operation time Weight 0.2447 0.3046 0.2129 0.2378

[0175] Table 10 The second weight table of each index calculates the operation intensity S of each unit g As shown below:

[0176]

[0177] In the formula, S g is the operating intensity of the g-th unit; y gl is the index value after percentage division; w l is the second weight of the lth indicator.

[0178] The operating intensity of each unit is shown in the following table:

[0179] Power Station Running intensity S Unit 1 of Power Plant A 50.24 Unit 2 of Power Plant A 67.48 Unit 3 of A Power Station 69.04 Unit 4 of Power Plant B 70.68 Unit 1 of Power Plant B 56.16 Unit 2 of Power Plant B 95.35 Unit 3 of Power Plant B 90.79 Unit 4 of Power Plant B 79.56 Unit 1 of C Power Station 83.57 Unit 2 of C Power Station 78.08 Unit 3 of C Power Station 90.34 Unit 4 of C Power Station 73.68 D Power Station Unit 1 78.60 D Power Station Unit 2 57.49 D Power Station Unit 3 72.55 Unit 4 of D Power Station 78.09

[0180] Table 11 Operation intensity of each pumped storage unit

[0181] This application is based on actual operating data and can realize the actual operating intensity evaluation of multiple units, more intuitively understand the operating intensity of the units, effectively ensure the safe and stable operation of pumped storage units, and has broad prospects for promotion and application.

[0182] The subjective factors of the AHP have a great influence on the whole process, and the results are difficult for all decision makers to accept. The entropy weight method ignores the importance of the indicator itself, which conforms to mathematical laws and has strict mathematical significance, but often ignores the subjective intentions of decision makers. By combining the AHP with the entropy weight method, we can learn from each other and make the calculation results more objective and accurate.

[0183] Embodiment 2:

[0184] A pumped storage unit operation strength evaluation system, the structure is as follows Figure 4 As shown, including:

[0185] A characteristic vector calculation module is used to construct a judgment matrix based on various factors and indicators that affect the operation intensity of each pumped storage unit, perform single-layer characteristic vector calculation and combined characteristic quantity calculation to obtain the first characteristic vector and the second characteristic vector of each factor, and use the hierarchical analysis method to calculate the first weight of each indicator of each pumped storage unit based on the first characteristic vector and the second characteristic vector of each factor;

[0186] The operation intensity calculation module is used to calculate the operation intensity of each pumped storage unit based on the actual operation data of each pumped storage unit and the first weight of each indicator of each pumped storage unit using the entropy weight method.

[0187] Feature vector calculation module, including:

[0188] The first eigenvector calculation submodule is used to construct a judgment matrix based on the relative scales between the factors to perform single-layer eigenvector calculation and consistency test to obtain the first eigenvector of each factor;

[0189] The second eigenvector calculation submodule is used to construct a judgment matrix based on the relative scales between the indicators of each pumped storage unit under each factor to calculate the combined characteristic quantity and perform consistency test to obtain the second eigenvector of each factor of each pumped storage unit;

[0190] The first weight calculation submodule is used to calculate based on the first eigenvector of each factor and the second eigenvector of each factor of each pumped storage unit to obtain the first weight of each indicator in each pumped storage unit.

[0191] The first eigenvector calculation submodule is specifically used for:

[0192] Construct a judgment matrix based on the relative scales between factors;

[0193] Perform column vector normalization calculation based on the judgment matrix to obtain a vector matrix;

[0194] Based on the vector matrix, the average value is calculated row by row to obtain the first eigenvector of each factor;

[0195] Calculate based on the vector matrix and the first eigenvector of each factor to obtain the maximum eigenroot;

[0196] The consistency index is obtained by calculating based on the maximum characteristic root and the unique non-zero characteristic root;

[0197] The consistency ratio is obtained by calculating based on the consistency index and the random consistency index;

[0198] The consistency ratio is compared with a set threshold. If it is less than the set threshold, the consistency test is passed; otherwise, the relative scales between the factors are modified and recalculated until the first eigenvector of each factor is obtained by passing the consistency test.

[0199] The second eigenvector calculation submodule is specifically used for:

[0200] Based on the relative scales of the indicators under the various factors of each pumped storage unit, the judgment matrix of each factor of each pumped storage unit is constructed respectively;

[0201] Calculate based on the judgment matrix of each factor of each pumped storage unit to obtain the maximum characteristic root of each factor of each pumped storage unit and the second characteristic vector of each factor of each pumped storage unit;

[0202] Based on the maximum characteristic root of each factor of each pumped storage unit and the second characteristic vector of each factor of each pumped storage unit, the consistency index of each factor of each pumped storage unit is obtained;

[0203] Based on the consistency index of each factor of each pumped storage unit and the random consistency index, the total consistency ratio of each pumped storage unit is obtained;

[0204] The total consistency ratio of each pumped storage unit is compared with the set threshold. If it is less than the set threshold, the consistency test is passed; otherwise, the relative scale between the indicators is modified and recalculated until the second eigenvector of each factor of each pumped storage unit is obtained through the consistency test.

[0205] The first weights of the pumping start times, power generation start times, pumping operation time, and power generation operation time are calculated through the six factors of top cover vibration, water guide swing, waterwheel room noise, upper frame vibration, upper guide swing, and generator layer noise, as shown in the following table:

[0206] index Pumping start times Number of power generation starts Pumping operation time Power generation operation time Weight 0.4079 0.3644 0.1114 0.1163

[0207] Table 12 The first weight table of each indicator

[0208] The operation intensity calculation module is specifically used for:

[0209] Performing weighted calculation based on actual operation data of each pumped storage unit and first weights of each index of each pumped storage unit to obtain weighted index values ​​of each pumped storage unit;

[0210] Percentile processing is performed based on the weighted index values ​​of each pumped storage unit to obtain the index values ​​of each pumped storage unit after percentage processing;

[0211] Based on the percentage-based index values ​​of each pumped storage unit, the entropy weight method is used to perform standardization processing to obtain the index values ​​of each pumped storage unit after standardization processing;

[0212] Calculate the proportion of each indicator in each pumped storage unit based on the index value of each pumped storage unit after standardization;

[0213] The information entropy of each indicator is calculated based on its proportion in each pumped storage unit to obtain the information entropy of each indicator;

[0214] The weight is calculated based on the information entropy of each indicator to obtain the second weight of each indicator;

[0215] Combined with the actual data, the information entropy of the number of pumping starts, the number of power generation starts, the pumping operation time, and the power generation operation time are calculated to obtain the second weights of these four indicators, as shown in the following table:

[0216] index Pumping start times Number of power generation starts Pumping operation time Power generation operation time Weight 0.2447 0.3046 0.2129 0.2378

[0217] Table 13 The first weight table of each indicator

[0218] The operation intensity of each pumped storage unit is obtained by performing calculation based on the second weight of each indicator and each indicator value of each pumped storage unit after percentage division.

[0219] The operating intensity of each pumped storage unit is shown in the following table:

[0220] Power Station Running intensity S Unit 1 of Power Plant A 50.24 Unit 2 of Power Plant A 67.48 Unit 3 of A Power Station 69.04 Unit 4 of Power Plant B 70.68 Unit 1 of Power Plant B 56.16 Unit 2 of Power Plant B 95.35 Unit 3 of Power Plant B 90.79 Unit 4 of Power Plant B 79.56 Unit 1 of C Power Station 83.57 Unit 2 of C Power Station 78.08 Unit 3 of C Power Station 90.34 Unit 4 of C Power Station 73.68 D Power Station Unit 1 78.60 D Power Station Unit 2 57.49 D Power Station Unit 3 72.55 Unit 4 of D Power Station 78.09

[0221] Table 14 Operation intensity of each unit

[0222] The factors in the characteristic vector calculation module include: one or more of top cover vibration, water guide swing, water wheel room noise, upper frame vibration, upper guide swing and generator layer noise.

[0223] The indicators in the characteristic vector calculation module include: one or more of the number of pumping starts, the number of power generation starts, the pumping operation time, and the power generation operation time.

[0224] Embodiment 3:

[0225] like Figure 5 As shown, the present invention also provides an electronic device, which may be a computer device, a single-chip device, an intelligent mobile device, etc. The electronic device in this embodiment may include a processor, a memory, a transceiver component, etc. The memory, the processor, and the transceiver component are connected via a bus; the memory may be used to store an execution program, and an exemplary execution program may include instructions; the processor is used to execute the instructions stored in the memory. The memory may also be used to store data, which may be called and / or modified when the instructions are executed.

[0226] The processor 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, discrete gates or transistor logic devices, discrete hardware components, etc. It is the computing core and control core of the terminal, which is suitable for implementing one or more instructions, specifically suitable for loading and executing one or more instructions in a storage medium to implement the corresponding method flow or corresponding functions, so as to realize the steps of a method for evaluating the operating intensity of a pumped storage unit in the above-mentioned embodiment.

[0227] Example 4

[0228] Based on the same inventive concept, the present invention also provides a readable storage medium, specifically an electronic device readable storage medium (Memory), which is a memory device in an electronic device for storing programs and data. It is understandable that the storage medium here can include both built-in storage media in electronic devices and, of course, extended storage media supported by electronic devices. The storage medium provides a storage space, which stores the operating system of the terminal. In addition, one or more instructions suitable for being loaded and executed by a processor are also stored in the storage space, and these instructions can be one or more execution programs (including program codes). It should be noted that the storage medium here can be a high-speed RAM memory or a non-volatile memory, such as at least one disk memory. The processor loads and executes one or more instructions stored in the storage medium, which can implement the steps of a method for evaluating the operating intensity of a pumped storage unit in the above embodiment.

[0229] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0230] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0231] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0232] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0233] The above are merely embodiments of the present application and are not intended to limit the present application. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application are included in the scope of the claims of the present application to be approved.

Claims

1. A method for evaluating the operating intensity of a pumped storage unit, characterized in that: include: A judgment matrix is ​​constructed based on various factors and indicators that affect the operation intensity of each pumped storage unit, a single-layer eigenvector calculation and a combined eigenvalue calculation are performed to obtain the first eigenvector and the second eigenvector of each factor, and a first weight of each indicator of each pumped storage unit is calculated using a hierarchical analysis method based on the first eigenvector and the second eigenvector of each factor; Based on the actual operation data of each pumped storage unit and the first weight of each indicator of each pumped storage unit, the operation intensity of each pumped storage unit is calculated using the entropy weight method to obtain.

2. The method according to claim 1, characterized in that: The method constructs a judgment matrix based on the factors and indicators that affect the operation intensity of each pumped storage unit, performs single-layer eigenvector calculation and combined eigenvalue calculation to obtain the first eigenvector and the second eigenvector of each factor, and uses the hierarchical analysis method to calculate the first weight of each indicator of each pumped storage unit based on the first eigenvector and the second eigenvector of each factor, including: Based on the relative scales of each factor, a judgment matrix is ​​constructed to calculate the single-layer eigenvector and perform consistency test to obtain the first eigenvector of each factor; Based on the relative scales of the indicators under each factor of each pumped storage unit, a judgment matrix is ​​constructed to calculate the combined characteristic quantity and conduct consistency test, and the second characteristic vector of each factor of each pumped storage unit is obtained; The first weight of each indicator in each pumped storage unit is obtained by calculation based on the first eigenvector of each factor and the second eigenvector of each factor of each pumped storage unit.

3. The method according to claim 2, characterized in that The judgment matrix is ​​constructed based on the relative scales between the factors to perform single-layer eigenvector calculation and consistency test to obtain the first eigenvector of each factor, including: Construct a judgment matrix based on the relative scales between factors; Perform column vector normalization calculation based on the judgment matrix to obtain a vector matrix; Based on the vector matrix, the average value is calculated row by row to obtain the first eigenvector of each factor; Calculate based on the vector matrix and the first eigenvector of each factor to obtain the maximum eigenroot; The consistency index is obtained by calculating based on the maximum characteristic root and the unique non-zero characteristic root; The consistency ratio is obtained by calculating based on the consistency index and the random consistency index; The consistency ratio is compared with a set threshold. If it is less than the set threshold, the consistency test is passed; otherwise, the relative scales between the factors are modified and recalculated until the first eigenvector of each factor is obtained by passing the consistency test.

4. The method according to claim 2, characterized in that: The judgment matrix is ​​constructed based on the relative scales of the indicators under each factor of each pumped storage unit to calculate the combined characteristic quantity and perform consistency test, so as to obtain the second characteristic vector of each factor of each pumped storage unit, including: Based on the relative scales of the indicators under the various factors of each pumped storage unit, the judgment matrix of each factor of each pumped storage unit is constructed respectively; Calculate based on the judgment matrix of each factor of each pumped storage unit to obtain the maximum characteristic root of each factor of each pumped storage unit and the second characteristic vector of each factor of each pumped storage unit; Based on the maximum characteristic root of each factor of each pumped storage unit and the second characteristic vector of each factor of each pumped storage unit, the consistency index of each factor of each pumped storage unit is obtained; Based on the consistency index of each factor of each pumped storage unit and the random consistency index, the total consistency ratio of each pumped storage unit is obtained; The total consistency ratio of each pumped storage unit is compared with the set threshold. If it is less than the set threshold, the consistency test is passed; otherwise, the relative scale between the indicators is modified and recalculated until the second eigenvector of each factor of each pumped storage unit is obtained through the consistency test.

5. The method according to claim 1, characterized in that The first weight of each indicator of each pumped storage unit is calculated by using the entropy weight method based on the actual operation data of each pumped storage unit and the first weight of each indicator of each pumped storage unit to obtain the operation intensity of each pumped storage unit, including: Performing weighted calculation based on actual operation data of each pumped storage unit and first weights of each index of each pumped storage unit to obtain weighted index values ​​of each pumped storage unit; Percentile processing is performed based on the weighted index values ​​of each pumped storage unit to obtain the index values ​​of each pumped storage unit after percentage processing; Based on the percentage-based index values ​​of each pumped storage unit, the entropy weight method is used to perform standardization processing to obtain the index values ​​of each pumped storage unit after standardization processing; Calculate the proportion of each indicator in each pumped storage unit based on the index value of each pumped storage unit after standardization; The information entropy of each indicator is calculated based on its proportion in each pumped storage unit to obtain the information entropy of each indicator; The weight is calculated based on the information entropy of each indicator to obtain the second weight of each indicator; The operation intensity of each pumped storage unit is obtained by performing calculation based on the second weight of each indicator and each indicator value of each pumped storage unit after percentage division.

6. The method according to claim 1, characterized in that The factors include: one or more of top cover vibration, water guide swing, water wheel room noise, upper frame vibration, upper guide swing and generator layer noise.

7. The method according to claim 1, characterized in that The indicators include: one or more of the number of pumping starts, the number of power generation starts, the pumping operation time, and the power generation operation time.

8. A pumped storage unit operation intensity evaluation system, characterized in that: include: A characteristic vector calculation module is used to construct a judgment matrix based on various factors and indicators that affect the operation intensity of each pumped storage unit, perform single-layer characteristic vector calculation and combined characteristic quantity calculation to obtain the first characteristic vector and the second characteristic vector of each factor, and use the hierarchical analysis method to calculate the first weight of each indicator of each pumped storage unit based on the first characteristic vector and the second characteristic vector of each factor; The operation intensity calculation module is used to calculate the operation intensity of each pumped storage unit based on the actual operation data of each pumped storage unit and the first weight of each indicator of each pumped storage unit using the entropy weight method.

9. The system according to claim 8, characterized in that The feature vector calculation module comprises: The first eigenvector calculation submodule is used to construct a judgment matrix based on the relative scales between the factors to perform single-layer eigenvector calculation and consistency test to obtain the first eigenvector of each factor; The second eigenvector calculation submodule is used to construct a judgment matrix based on the relative scales between the indicators of each pumped storage unit under each factor to calculate the combined characteristic quantity and perform consistency test to obtain the second eigenvector of each factor of each pumped storage unit; The first weight calculation submodule is used to calculate based on the first eigenvector of each factor and the second eigenvector of each factor of each pumped storage unit to obtain the first weight of each indicator in each pumped storage unit.

10. The system according to claim 9, characterized in that The first feature vector calculation submodule is specifically used for: Construct a judgment matrix based on the relative scales between factors; Perform column vector normalization calculation based on the judgment matrix to obtain a vector matrix; Based on the vector matrix, the average value is calculated row by row to obtain the first eigenvector of each factor; Calculate based on the vector matrix and the first eigenvector of each factor to obtain the maximum eigenroot; The consistency index is obtained by calculating based on the maximum characteristic root and the unique non-zero characteristic root; The consistency ratio is obtained by calculating based on the consistency index and the random consistency index; The consistency ratio is compared with a set threshold. If it is less than the set threshold, the consistency test is passed; otherwise, the relative scales between the factors are modified and recalculated until the first eigenvector of each factor is obtained by passing the consistency test.

11. The system according to claim 9, characterized in that The second feature vector calculation submodule is specifically used for: Based on the relative scales of the indicators under the various factors of each pumped storage unit, the judgment matrix of each factor of each pumped storage unit is constructed respectively; Calculate based on the judgment matrix of each factor of each pumped storage unit to obtain the maximum characteristic root of each factor of each pumped storage unit and the second characteristic vector of each factor of each pumped storage unit; Based on the maximum characteristic root of each factor of each pumped storage unit and the second characteristic vector of each factor of each pumped storage unit, the consistency index of each factor of each pumped storage unit is obtained; Based on the consistency index of each factor of each pumped storage unit and the random consistency index, the total consistency ratio of each pumped storage unit is obtained; The total consistency ratio of each pumped storage unit is compared with the set threshold. If it is less than the set threshold, the consistency test is passed; otherwise, the relative scale between the indicators is modified and recalculated until the second eigenvector of each factor of each pumped storage unit is obtained through the consistency test.

12. The system according to claim 8, characterized in that The operation intensity calculation module is specifically used for: Performing weighted calculation based on actual operation data of each pumped storage unit and first weights of each index of each pumped storage unit to obtain weighted index values ​​of each pumped storage unit; Percentile processing is performed based on the weighted index values ​​of each pumped storage unit to obtain the index values ​​of each pumped storage unit after percentage processing; Based on the percentage-based index values ​​of each pumped storage unit, the entropy weight method is used to perform standardization processing to obtain the index values ​​of each pumped storage unit after standardization processing; Calculate the proportion of each indicator in each pumped storage unit based on the index value of each pumped storage unit after standardization; The information entropy of each indicator is calculated based on its proportion in each pumped storage unit to obtain the information entropy of each indicator; The weight is calculated based on the information entropy of each indicator to obtain the second weight of each indicator; The operation intensity of each pumped storage unit is obtained by performing calculation based on the second weight of each indicator and each indicator value of each pumped storage unit after percentage division.

13. The system according to claim 8, characterized in that The factors in the characteristic vector calculation module include: one or more of top cover vibration, water guide swing, water wheel room noise, upper frame vibration, upper guide swing and generator layer noise.

14. The system according to claim 8, characterized in that The indicators in the characteristic vector calculation module include: one or more of the number of pumping starts, the number of power generation starts, the pumping operation time, and the power generation operation time.

15. An electronic device, characterized in that: include: at least one processor and memory; The memory and the processor are connected via a bus; The memory is used to store one or more programs; When the one or more programs are executed by the at least one processor, a method for evaluating the operating intensity of a pumped storage unit as described in any one of claims 1 to 7 is implemented.

16. A readable storage medium, characterized in that: An execution program is stored thereon, and when the execution program is executed, a method for evaluating the operating intensity of a pumped storage unit as described in any one of claims 1 to 7 is implemented.

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