Alkaline water electrolysis hydrogen production device operating performance evaluation method and storage medium

Abstract

The present invention discloses a method for evaluating the operating performance of an alkaline water electrolysis hydrogen production device and a storage medium. The method includes the following steps: obtaining operating data of the alkaline water electrolysis hydrogen production device, and calculating the performance indicators of the alkaline water electrolysis hydrogen production device based on the operating data; the performance indicators include primary indicators and secondary indicators; obtaining a preset evaluation quantitative scale, and constructing a corresponding membership function according to the evaluation quantitative scale, and calculating a membership matrix by combining the secondary indicators and the membership function; obtaining the importance of each performance indicator, and determining the evaluation weight of the performance indicator according to the importance; combining the membership matrix and the evaluation weight to calculate the performance evaluation result of the alkaline water electrolysis hydrogen production device. The method provides a method for evaluating the operating performance of an alkaline water electrolysis hydrogen production device under fluctuating working conditions, and reasonably plans the evaluation weights of the performance indicators, so that the performance evaluation results are accurate and comprehensive.

Description

Technical Field

[0001] The present invention relates to the technical field of alkaline water electrolysis hydrogen production, and in particular to an operating performance evaluation method and storage medium of an alkaline water electrolysis hydrogen production device. Background Art

[0002] As an important vehicle for achieving green transformation at the energy-consuming end, large-scale and efficient hydrogen production processes have attracted widespread attention. Among them, alkaline water electrolysis hydrogen production technology occupies a dominant position in the market due to its advantages such as low carbon emissions, large scale, long life, and mature technology. However, with the transition of alkaline water electrolysis hydrogen production systems from traditional stable power supply scenarios to fluctuating power supply scenarios of wind and solar renewable energy, the alkaline electrolyzers have become more prominent due to the low allowable current density, slow follow-up response speed, small power adjustment range, rapid material performance degradation, high risk of gas explosion, low energy utilization efficiency and other fluctuating operating performance bottlenecks caused by non-compact structural design, unstable material properties, and incomplete gas separation. These bottlenecks have become more prominent, hindering the development and upgrading of green electricity to green hydrogen technology.

[0003] At present, most research focuses on exploring optimization methods for the configuration and operation strategies of water electrolysis hydrogen production systems, striving to improve the operating characteristics of alkaline electrolyzers. However, the systematic and comprehensive evaluation of the effectiveness of optimization schemes and the degree of completion of optimization goals is still in the preliminary research stage. A few studies have proposed using indicators such as hydrogen production purity, static single-point energy consumption value, hydrogen production capacity or static operating range as the basis for electrolyzer performance evaluation, but these still cannot meet the needs of equipment selection and operation effect evaluation in engineering applications. There are problems such as scattered and imperfect evaluation dimensions and complex and unsystematic evaluation indicators, which increase the difficulty of cluster management and operation optimization in the large-scale development of water electrolysis systems. Summary of the Invention

[0004] The technical problem to be solved by the present invention is to provide an operating performance evaluation method and storage medium for an alkaline water electrolysis hydrogen production device.

[0005] The technical solution adopted by the present invention to solve the technical problem is to construct a method for evaluating the operating performance of an alkaline water electrolysis hydrogen production device, comprising the following steps:

[0006] S1. Obtaining operating data of an alkaline water electrolysis hydrogen production device, and calculating performance indicators of the alkaline water electrolysis hydrogen production device based on the operating data; the performance indicators include primary indicators and secondary indicators;

[0007] S2. Obtain a preset evaluation quantitative scale, construct a corresponding membership function according to the evaluation quantitative scale, and calculate a membership matrix by combining the secondary index and the membership function;

[0008] S3. Obtaining the importance of each performance indicator, and determining the evaluation weight of the performance indicator according to the importance;

[0009] S4. Calculate and obtain a performance evaluation result of the alkaline water electrolysis hydrogen production device by combining the membership matrix and the evaluation weight.

[0010] Preferably, in the operating performance evaluation method of the alkaline water electrolysis hydrogen production device constructed by the present invention, in step S1, the obtaining of operating data of the alkaline water electrolysis hydrogen production device includes obtaining the operating data of the alkaline water electrolysis hydrogen production device under fluctuating operating conditions;

[0011] The first-level indicators include operation safety indicators, hydrogen production quality indicators, response capability indicators, operation energy efficiency indicators and service life indicators;

[0012] The secondary indicators include continuous low-power operation time index, hydrogen production index, hydrogen purity index, start-up time index, climbing rate index, current overshoot index, transition time index, power adjustment range index, DC energy efficiency index, AC energy efficiency index, comprehensive energy efficiency index, start-stop number index and overload state operation time index.

[0013] Preferably, in the operating performance evaluation method of the alkaline water electrolysis hydrogen production device constructed by the present invention, in step S1, the performance index of the alkaline water electrolysis hydrogen production device calculated based on the operating data includes:

[0014] 1) Based on the maximum duration of time that the output power of the alkaline electrolyzer is lower than the preset power threshold and the upper limit of the continuous low-power operation time, the continuous low-power operation time indicator is calculated:

[0015]

[0016] Among them, F1 is the continuous low power operation time indicator, t low Δt is the maximum duration that the output power of the alkaline electrolyzer is lower than the preset power threshold. lowmax The upper limit of continuous low-power operation time;

[0017] 2) The hydrogen production index is calculated based on the actual hydrogen production volume and the ideal hydrogen production volume during the operation of the alkaline water electrolysis hydrogen production device:

[0018]

[0019]

[0020] Among them, α H2 is the hydrogen production index, V H2is the actual hydrogen production volume during the operation of the alkaline water electrolysis hydrogen production device, V H2max is the ideal hydrogen production volume during the operation of the alkaline water electrolysis hydrogen production device, n c is the number of cells in the alkaline electrolytic cell, z is the number of electrons transferred in the reaction, F is the Faraday constant, v std is the ideal gas volume under standard conditions;

[0021] 3) obtaining the concentration of hydrogen products from the water electrolysis hydrogen production device according to the gas analyzer, and recording the concentration of hydrogen products as the hydrogen purity index;

[0022] 4) According to the actual value of the alkaline electrolytic cell startup time and the reference value of the alkaline electrolytic cell startup time, the startup time index is calculated:

[0023]

[0024] Among them, θ1 is the startup time index, t st is the actual value of the alkaline electrolytic cell startup time, t stN It is the reference value of the start-up time of the alkaline electrolyzer;

[0025] 5) Within a unit time, determining whether the amplitude of the change in the operating power of the alkaline electrolytic cell is greater than a preset amplitude; if so, determining that a ramp event has occurred, and calculating the ramp rate index based on the amplitude of the change in the operating power of the alkaline electrolytic cell:

[0026]

[0027]

[0028] Among them, θ2 is the evaluation index of climbing rate, dP EL is the operating power variation amplitude of the alkaline electrolyzer, P EL is the actual power of the alkaline electrolyzer, P ELN is the rated power of the alkaline electrolyzer, ΔT is the unit time, is the preset amplitude.

[0029] 6) Calculate the current overshoot index based on the current peak value of the alkaline electrolytic cell under fluctuating operating conditions and the current value of the alkaline electrolytic cell under a stable state:

[0030]

[0031] Among them, θ3 is the current overshoot index, I bmax is the peak current of the alkaline electrolytic cell under fluctuating conditions, I b∞ is the current value of the alkaline electrolytic cell in a steady state;

[0032] 7) Calculate the transition time index based on the actual value of the transition time for the alkaline electrolytic cell to recover from the disturbance to the stable state and the transition time reference value of the alkaline electrolytic cell:

[0033]

[0034] Among them, θ4 is the transition time index, T s∞ is the actual value of transition duration, T s is the transition duration benchmark value;

[0035] 8) Calculate the power adjustment range index based on the minimum power value and the maximum power value during the actual operation of the alkaline electrolytic cell:

[0036]

[0037] Among them, θ5 is the power adjustment range indicator, P ELmin is the minimum power value during the actual operation of the alkaline electrolyzer, P ELmax is the maximum power during the actual operation of the alkaline electrolyzer, P ELN is the rated power of the alkaline electrolyzer;

[0038] 9) Calculate the DC energy efficiency index based on the total DC energy consumption of the alkaline water electrolysis hydrogen production device and the energy actually used for hydrogen production during operation:

[0039]

[0040] Among them, η DC is the DC energy efficiency index, W DC is the total DC energy consumption of the alkaline water electrolysis hydrogen production device, W H2 The energy actually used to produce hydrogen during operation;

[0041] 10) Calculate the AC energy efficiency index based on the total AC energy consumption and the total DC energy consumption of the alkaline water electrolysis hydrogen production device:

[0042]

[0043] Among them, η AC is the AC energy efficiency index, W DC is the total DC energy consumption of the alkaline water electrolysis hydrogen production device, W AC is the total AC energy consumption of the alkaline water electrolysis hydrogen production device;

[0044] 11) Calculate the comprehensive energy efficiency index based on the AC energy efficiency index and the DC energy efficiency index:

[0045]

[0046] Among them, η AC is the AC energy efficiency index, η DC is the DC energy efficiency index;

[0047] 12) Calculate the start-stop number index based on the number of starts and stops during the actual operation of the alkaline electrolytic cell and the maximum number of starts and stops during the service life of the alkaline electrolytic cell:

[0048]

[0049] Among them, γ1 is the start-stop number index, N st is the number of starts and stops during the actual operation of the alkaline electrolyzer, N stmax The maximum number of starts and stops during the service life of the alkaline electrolyzer;

[0050] 13) Calculate the overload state operation time indicator based on the continuous operation time of the alkaline electrolytic cell when the actual voltage is higher than the rated power and the upper limit of the continuous high power operation time of the alkaline electrolytic cell:

[0051]

[0052] Among them, γ2 is the operating time index of overload state, t high Δt is the continuous operation time when the actual voltage of the alkaline electrolyzer is higher than the rated power. highmax It is the upper limit of the continuous high power operation time of the alkaline electrolyzer.

[0053] Preferably, in the operating performance evaluation method of the alkaline water electrolysis hydrogen production device constructed by the present invention, in step S2, the evaluation quantitative scale includes evaluation grades and index values, and each evaluation grade corresponds to each index value;

[0054] The evaluation ratings include: a first evaluation rating V1 with an index value of 0.9, a second evaluation rating V2 with an index value of 0.8, a third evaluation rating V3 with an index value of 0.6, and a fourth evaluation rating V4 with an index value of 0.4;

[0055] The membership function includes:

[0056]

[0057]

[0058]

[0059]

[0060] in, is the membership function of the secondary indicator corresponding to the first evaluation grade V1, is the membership function of the second-level indicator corresponding to the second evaluation grade V2, is the membership function of the secondary indicator corresponding to the third evaluation grade V3, is the membership function of the second-level indicator corresponding to the fourth evaluation grade V4, is the i-th secondary indicator;

[0061] The membership matrix R is:

[0062]

[0063] in, Substitute the membership function corresponding to the j-th evaluation rating into the i-th secondary indicator to obtain the function value.

[0064] Preferably, in the operating performance evaluation method of the alkaline water electrolysis hydrogen production device constructed by the present invention, step S3 includes:

[0065] S31, grouping the performance indicators to obtain indicator groups;

[0066] S32. Compare the importance of every two performance indicators in each indicator group to obtain a comparison result, and construct a discriminant matrix A based on the comparison result, which is expressed as:

[0067]

[0068] in, Assign a value to the scale obtained by comparing the importance of the i-th performance indicator and the j-th performance indicator;

[0069] S33. Use the summation method to calculate and obtain the evaluation weight W, which is expressed as:

[0070]

[0071] in, is the index after normalization of each column of the discriminant matrix, is the index of the judgment matrix added row by row after normalization, for The column vector composed of W is a vector The evaluation weight obtained after normalization.

[0072] Preferably, in the operating performance evaluation method of the alkaline water electrolysis hydrogen production device constructed by the present invention, step S3 further includes:

[0073] S34. Calculate the consistency index of the discriminant matrix according to the maximum eigenvalue of the discriminant matrix, which is expressed as:

[0074]

[0075] Among them, CI is the consistency index, λ max is the maximum eigenvalue, n is the order of the discriminant matrix;

[0076] S35. Calculate the consistency ratio of the discriminant matrix based on the consistency index, expressed as:

[0077]

[0078] Among them, CR is the consistency ratio, CI is the consistency index, and RI is the average random consistency index;

[0079] S36: Determine whether the consistency ratio of the discriminant matrix is ​​less than a preset value. If so, determine that the discriminant matrix passes the consistency test and allow subsequent steps to be executed.

[0080] Preferably, in the operating performance evaluation method of the alkaline water electrolysis hydrogen production device constructed by the present invention, before executing step S4, the following steps are performed:

[0081] S5. Modify the obtained evaluation weight to obtain the modified evaluation weight.

[0082] Preferably, in the operating performance evaluation method of the alkaline water electrolysis hydrogen production device constructed by the present invention, before executing step S4, the following steps are performed:

[0083] S51. Evaluate the correlation between any two of the secondary indicators, and construct a direct correlation matrix based on the correlation, and obtain a standard direct correlation matrix based on the direct correlation matrix to obtain a comprehensive impact matrix, which is expressed as:

[0084]

[0085] Among them, N is the direct correlation matrix, N i is the i-th row in the direct correlation matrix, N ij is the element in the i-th row and j-th column of the direct correlation matrix, B is the standard direct correlation matrix, T is the comprehensive influence matrix, b ij To normalize the elements in the direct correlation matrix B, I is the identity matrix, i and j represent the number of rows and columns in each matrix, respectively;

[0086] S52. Calculate the centrality of each secondary indicator according to the comprehensive influence matrix;

[0087]

[0088] Among them, f i is the influence, ei is the degree of influence, h i is the centrality;

[0089] S53. Modify the evaluation weights based on the centrality to obtain a comprehensive weight matrix:

[0090]

[0091]

[0092] Among them, h i is the centrality of the i-th secondary indicator, w i is the evaluation weight of the i-th secondary indicator, P is the comprehensive weight matrix, and p i is the comprehensive weight of the i-th secondary indicator, and i≠0.

[0093] Preferably, in the operating performance evaluation method of the alkaline water electrolysis hydrogen production device constructed by the present invention, in step S4, the calculating and obtaining the performance evaluation result of the alkaline water electrolysis hydrogen production device by combining the membership matrix and the evaluation weight includes:

[0094] The membership matrix and the evaluation weight are combined and a fuzzy transformation operator is used to perform fuzzy transformation to obtain a fuzzy matrix, and the fluctuation operating performance evaluation result of the alkaline water electrolysis hydrogen production device is determined according to the largest element in the fuzzy matrix.

[0095] The present invention also constructs a storage medium based on any of the above-mentioned methods for evaluating the operating performance of an alkaline water electrolysis hydrogen production device, wherein the storage medium stores a computer program, which, when executed by a processor, implements the steps of any of the above-mentioned methods for evaluating the operating performance of an alkaline water electrolysis hydrogen production device.

[0096] By implementing the present invention, the following beneficial effects are achieved:

[0097] The present invention discloses an operating performance evaluation method and storage medium for an alkaline water electrolysis hydrogen production device, comprising the following steps: obtaining operating data of the alkaline water electrolysis hydrogen production device, and calculating performance indicators of the alkaline water electrolysis hydrogen production device based on the operating data; the performance indicators include primary indicators and secondary indicators; obtaining a preset evaluation quantitative scale, and constructing a corresponding membership function according to the evaluation quantitative scale, and calculating a membership matrix by combining the secondary indicators and the membership function; obtaining the importance of each performance indicator, and determining the evaluation weight of the performance indicator according to the importance; and calculating the performance evaluation result of the alkaline water electrolysis hydrogen production device by combining the membership matrix and the evaluation weight. The method provides an operating performance evaluation method for an alkaline water electrolysis hydrogen production device under fluctuating working conditions, and rationally plans the evaluation weights of the performance indicators, so that the performance evaluation results are accurate and comprehensive. BRIEF DESCRIPTION OF THE DRAWINGS

[0098] The present invention will be further described below with reference to the accompanying drawings and embodiments, in which:

[0099] Figure 1 Flowchart of the method for evaluating the operating performance of an alkaline water electrolysis hydrogen production device in the first embodiment of the present invention;

[0100] Figure 2 Schematic diagram of the grouping relationship between the primary and secondary indicators of the operating performance evaluation method of the alkaline water electrolysis hydrogen production device in the first embodiment of the present invention. DETAILED DESCRIPTION

[0101] In order to have a clearer understanding of the technical features, purposes and effects of the present invention, specific embodiments of the present invention are now described in detail with reference to the accompanying drawings.

[0102] It should be noted that the flowcharts shown in the accompanying drawings are for illustrative purposes only and do not necessarily include all content and operations / steps, nor must they be executed in the order described. For example, some operations / steps may be decomposed, while others may be combined or partially combined. Therefore, the actual execution order may vary depending on the actual situation.

[0103] The block diagrams shown in the accompanying drawings are merely functional entities and do not necessarily correspond to physically separate entities. That is, these functional entities may be implemented in software, in one or more hardware modules or integrated circuits, or in different networks and / or processor devices and / or microcontroller devices.

[0104] See also Figure 1 The first embodiment of the present invention provides a method for evaluating the operating performance of an alkaline water electrolysis hydrogen production device, comprising the following steps:

[0105] S1. Obtaining operating data of an alkaline water electrolysis hydrogen production device, and calculating performance indicators of the alkaline water electrolysis hydrogen production device based on the operating data; the performance indicators include primary indicators and secondary indicators;

[0106] S2. Obtain a preset evaluation quantitative scale, construct a corresponding membership function according to the evaluation quantitative scale, and calculate a membership matrix by combining the secondary index and the membership function;

[0107] S3. Obtaining the importance of each performance indicator, and determining the evaluation weight of the performance indicator according to the importance;

[0108] S4. Calculate and obtain a performance evaluation result of the alkaline water electrolysis hydrogen production device by combining the membership matrix and the evaluation weight.

[0109] Further, see Figure 2 In order to cover the three dimensions of reliability, quality and economy that are of greatest concern in equipment selection, in the operating performance evaluation method of the alkaline water electrolysis hydrogen production device of this embodiment, in step S1, obtaining the operating data of the alkaline water electrolysis hydrogen production device includes obtaining the operating data of the alkaline water electrolysis hydrogen production device under fluctuating operating conditions; the primary indicators include an operating safety index, a hydrogen production quality index, a response capability index, an operating energy efficiency index and a service life index; the secondary indicators include a continuous low-power operating time index, a hydrogen production index, a hydrogen purity index, a start-up time index, a ramp rate index, a current overshoot index, a transition time index, a power adjustment range index, a DC energy efficiency index, an AC energy efficiency index, a comprehensive energy efficiency index, a start-stop times index and an overload state operating time index.

[0110] The selection of the first-level and second-level indicators shall comply with the following principles:

[0111] (1) Completeness principle: The fluctuating operating process of the alkaline water electrolysis hydrogen production device is complex and delicate. Therefore, avoid indicators that are too simple or incomplete, and consider them carefully to meet the completeness principle.

[0112] (2) Representativeness principle: Avoid selecting indicators that are too complex and fragmented, which may lead to cumbersome evaluation and inefficiency. Select indicators that are representative and relatively independent to avoid duplication and omission.

[0113] (3) Measurability principle: Avoid selecting indicators whose data are unmeasurable or difficult to obtain.

[0114] Based on the above principles, this embodiment starts from the three dimensions of reliability, quality and economy of the operation of the alkaline water electrolysis hydrogen production device, and further proposes evaluation indicators around the five aspects of device operation safety index, hydrogen production quality index, dynamic response capability index, operation energy efficiency index and operation life index, and subdivides each first-level indicator into second-level indicators, totaling 13 items. The evaluation results can serve as a theoretical basis for guiding the performance quality evaluation and comparison of alkaline water electrolysis hydrogen production devices, and have practical application value. Reliability is the most basic requirement that must be met for the operation of the device, that is, operational safety; quality examines the performance and function of the equipment; economy examines the cost-effectiveness of the equipment.

[0115] Furthermore, in order to calculate all secondary indicators, the method obtains various operating data of the alkaline water electrolysis hydrogen production device, including actual operating data, rated parameters, factory data and empirical parameters, etc. In the alkaline water electrolysis hydrogen production device operating performance evaluation method, in step S1, the performance indicators of the alkaline water electrolysis hydrogen production device calculated based on the operating data include:

[0116] 1) Based on the maximum duration of time that the output power of the alkaline electrolyzer is lower than the preset power threshold and the upper limit of the continuous low-power operation time, the continuous low-power operation time indicator is calculated:

[0117]

[0118] Among them, F1 is the continuous low power operation time indicator, t low Δt is the maximum duration that the output power of the alkaline electrolyzer is lower than the preset power threshold. lowmax =The upper limit of continuous low power operation time; Due to the dynamic time lag of the alkaline electrolytic cell, in practical applications, it is acceptable for the alkaline electrolytic cell to operate below the minimum safe power threshold (generally set at 20% of the rated power) for a short period of time. The specific allowable time is determined by factors such as the capacity and structure of the device based on engineering experience and can vary from several minutes. Therefore, in some embodiments, during the normal operation of the alkaline electrolytic cell from startup to expected shutdown, the output power of the electrolytic cell is recorded as being lower than 20%P ElN The maximum duration of all time intervals is t low .

[0119] 2) The hydrogen production index is calculated based on the actual hydrogen production volume and the ideal hydrogen production volume during the operation of the alkaline water electrolysis hydrogen production device:

[0120]

[0121]

[0122] Among them, α H2 is the hydrogen production index, V H2 is the actual hydrogen production volume during the operation of the alkaline water electrolysis hydrogen production device, V H2max is the ideal hydrogen production volume during the operation of the alkaline water electrolysis hydrogen production device, n c is the number of cells in the alkaline electrolytic cell, z is the number of electrons transferred in the reaction, F is the Faraday constant, v std is the ideal gas volume under standard conditions. According to Faraday's law, the reaction rate of alkaline water electrolysis is closely related to the current. Under fluctuating operating conditions, alkaline electrolyzers struggle to maintain a stable current, which can adversely affect hydrogen production.

[0123] 3) The concentration of hydrogen products of the water electrolysis hydrogen production device is obtained according to the gas analyzer, and the concentration of hydrogen products is recorded as the hydrogen purity index; the hydrogen production index α H2 and hydrogen purity index β H2 Together they determine the quality of hydrogen produced by the alkaline water electrolysis hydrogen production device. H2 and hydrogen purity index β H2When the hydrogen production index α is large, the alkaline water electrolysis hydrogen production device will produce large-scale, high-purity products, and the operating efficiency will be greatly improved; when the hydrogen production index α H2 and hydrogen purity index β H2 When the difference between the two values ​​is large, the benefit will be lower than the hydrogen production index α to a certain extent. H2 and hydrogen purity index β H2 The actual benefits brought by using the average value of as the hydrogen production quality indicator.

[0124] 4) To track the fluctuating input of wind and solar power, it is necessary to control the frequent start-up and shutdown of the alkaline electrolyzer. In addition, due to the temperature lag, the startup time of the alkaline electrolyzer is relatively long, which hinders the improvement of the operating efficiency of the alkaline water electrolysis hydrogen production device. Based on the actual value of the alkaline electrolyzer startup time and the reference value of the alkaline electrolyzer startup time, the startup time index is calculated:

[0125]

[0126] Among them, θ1 is the startup time index, t st is the actual value of the alkaline electrolytic cell startup time, t stN It is the reference value for the startup time of the alkaline electrolyzer.

[0127] 5) Within a unit time, determining whether the amplitude of the change in the operating power of the alkaline electrolytic cell is greater than a preset amplitude; if so, determining that a ramp event has occurred, and calculating the ramp rate index based on the amplitude of the change in the operating power of the alkaline electrolytic cell:

[0128]

[0129]

[0130] Among them, θ2 is the evaluation index of climbing rate, dP EL is the operating power variation amplitude of the alkaline electrolyzer, P EL is the actual power of the alkaline electrolyzer, P ELN is the rated power of the alkaline electrolyzer, and ΔT is the unit time. The power change per unit time of the alkaline water electrolysis hydrogen production device is the key factor in judging its ability to follow the fluctuation of renewable energy. is the preset amplitude.

[0131] 6) When the operating voltage of an alkaline electrolytic cell suddenly changes, a current overshoot will occur. The larger the sudden voltage, the more obvious the current overshoot phenomenon is, which can easily cause damage to the equipment. Based on the current peak value of the alkaline electrolytic cell under fluctuating conditions and the current value of the alkaline electrolytic cell under stable conditions, the current overshoot index is calculated as:

[0132]

[0133] Among them, θ3 is the current overshoot index, I bmax is the peak current of the alkaline electrolytic cell under fluctuating conditions, I b∞ is the current value of the alkaline electrolytic cell in a steady state;

[0134] 7) Affected by the fluctuation of wind and solar input, the alkaline electrolyzer continuously switches between steady state and disturbed state. Based on the actual value of the transition time for the alkaline electrolyzer to recover from the disturbance to the steady state and the transition time benchmark value of the alkaline electrolyzer, the transition time index is calculated:

[0135]

[0136] Among them, θ4 is the transition time index, T s∞ is the actual value of transition duration, T s It is the baseline value of transition duration.

[0137] 8) The smaller the minimum safe power threshold of the alkaline water electrolysis hydrogen production device, the greater the allowable overload power, the wider the device's power adjustment range, and the lower the safety risk of its operation under fluctuating conditions. The transition time between the two states can reflect the dynamic adjustment performance of the device. The shorter the transition time, the more timely the electrolyzer follows the input. Based on the minimum power value and the maximum power value during the actual operation of the alkaline electrolyzer, the power adjustment range index is calculated:

[0138]

[0139] Among them, θ5 is the power adjustment range indicator, P ELmin is the minimum power value during the actual operation of the alkaline electrolyzer, P ELmax is the maximum power during the actual operation of the alkaline electrolyzer, P ELN is the rated power of the alkaline electrolyzer.

[0140] The unit comprehensive energy consumption of alkaline water electrolysis hydrogen production device is defined as 1m 3 The electrical energy consumed by hydrogen production specifically includes both unit DC energy consumption and unit AC energy consumption. Since only the alkaline electrolyzer uses DC power, the DC energy consumption is the power consumption of the alkaline electrolyzer itself, while the AC energy consumption is the sum of the power consumption of all peripheral equipment.

[0141] 9) Calculate the DC energy efficiency index based on the total DC energy consumption of the alkaline water electrolysis hydrogen production device and the energy actually used for hydrogen production during operation:

[0142]

[0143] Among them, ηDC is the DC energy efficiency index, W DC is the total DC energy consumption of the alkaline water electrolysis hydrogen production device, W H2 It is the energy actually used to produce hydrogen during operation.

[0144] 10) Calculate the AC energy efficiency index based on the total AC energy consumption and the total DC energy consumption of the alkaline water electrolysis hydrogen production device:

[0145]

[0146] Among them, η AC is the AC energy efficiency index, W DC is the total DC energy consumption of the alkaline water electrolysis hydrogen production device, W AC is the total AC energy consumption of the alkaline water electrolysis hydrogen production device.

[0147] 11) Calculate the comprehensive energy efficiency index based on the AC energy efficiency index and the DC energy efficiency index:

[0148]

[0149] Among them, η AC is the AC energy efficiency index, η DC is the DC energy efficiency index; DC energy efficiency index η DC , AC energy efficiency η AC and the comprehensive energy efficiency η jointly determine the operating energy efficiency index of the alkaline water electrolysis hydrogen production device.

[0150] 12) Calculate the start-stop number index based on the number of starts and stops during the actual operation of the alkaline electrolytic cell and the maximum number of starts and stops during the service life of the alkaline electrolytic cell:

[0151]

[0152] Among them, γ1 is the start-stop number index, N st is the number of starts and stops during the actual operation of the alkaline electrolyzer, N stmax It is the maximum number of starts and stops during the service life of the alkaline electrolyzer. Under fluctuating operating conditions, frequent starts and stops of the alkaline electrolyzer and long-term operation at overload power will affect the service life of the alkaline water electrolysis hydrogen production device.

[0153] 13) Calculate the overload state operation time indicator based on the continuous operation time of the alkaline electrolytic cell when the actual voltage is higher than the rated power and the upper limit of the continuous high power operation time of the alkaline electrolytic cell:

[0154]

[0155] Among them, γ2 is the operating time index of overload state, t high Δt is the continuous operation time when the actual voltage of the alkaline electrolyzer is higher than the rated power. highmax It is the upper limit of the continuous high-power operation time of the alkaline electrolyzer. When evaluating the operating life of the alkaline water electrolysis hydrogen production device from two perspectives: the start-stop number index γ1 and the overload operation time index γ2, the worst evaluation index of the two determines the operating life of the alkaline electrolyzer.

[0156]

[0157] Table 1

[0158] See Table 1, which is a reference table for evaluation quantitative scales. Further, in the method for evaluating the operating performance of an alkaline water electrolysis hydrogen production device disclosed in this embodiment, in step S2, the evaluation quantitative scale includes evaluation grades and index values, and each evaluation grade corresponds to each index value;

[0159] The evaluation ratings include: a first evaluation rating V1 with an index value of 0.90, a second evaluation rating V2 with an index value of 0.80, a third evaluation rating V3 with an index value of 0.60, and a fourth evaluation rating V4 with an index value of 0.40;

[0160] Based on the basic principle of fuzzy comprehensive evaluation, constructing the membership function includes:

[0161]

[0162]

[0163]

[0164]

[0165] in, is the membership function of the secondary indicator corresponding to the first evaluation grade V1, is the membership function of the second-level indicator corresponding to the second evaluation grade V2, is the membership function of the secondary indicator corresponding to the third evaluation grade V3, is the membership function of the second-level indicator corresponding to the fourth evaluation grade V4, is the i-th secondary indicator;

[0166] Substitute the secondary indicators into the membership function in turn to calculate the membership matrix R:

[0167]

[0168] in, Substitute the membership function corresponding to the j-th evaluation rating into the i-th secondary indicator to obtain the function value.

[0169] The fluctuating operating performance evaluation of an alkaline water electrolysis hydrogen production unit is a comprehensive evaluation problem involving multiple factors, multiple levels, and complex uncertainties. The weight of an evaluation indicator quantifies the criticality difference between that indicator and other evaluation indicators at the same level, representing the influence of that indicator in the unit's operating performance evaluation. Reasonable and scientific weighting of evaluation indicators not only helps identify key issues and distinguish between primary and secondary relationships in the evaluation work, but also plays a crucial role in accurately describing the operating performance characteristics of the alkaline water electrolysis hydrogen production unit and ensuring the accuracy and credibility of the final evaluation results.

[0170] The AHP method has advantages such as clear hierarchy, ease of understanding, and consideration of both qualitative and quantitative factors. However, it fails to account for the complex interconnected relationships between indicators at the same level. Therefore, in this example, the decision laboratory method is used to modify and optimize the initial indicator weights obtained by the AHP method to obtain the comprehensive weights of the indicators in the evaluation system.

[0171] Furthermore, in the method for evaluating the operating performance of the alkaline water electrolysis hydrogen production device disclosed in this embodiment, step S3 includes:

[0172] S31. Group the performance indicators to obtain indicator groups; for example, all primary indicators are determined as the first group, the continuous low-power operation time indicator is determined as the second group, the hydrogen production indicator and the hydrogen purity indicator are determined as the third group, the startup time indicator, the ramp rate indicator, the current overshoot indicator, the transition time indicator and the power adjustment range indicator are determined as the fourth group, the DC energy efficiency indicator, the AC energy efficiency indicator and the comprehensive energy efficiency indicator are determined as the fifth group, and the start-stop number indicator and the overload state operation time indicator are determined as the sixth group. Specifically, see Figure 2 The first-level indicators refer to the five major dimensions of the alkaline water electrolysis hydrogen production device, and the second-level indicators are the sub-items under each first-level indicator. In this embodiment, the operation safety index can be subdivided into a continuous low-power operation time index, the hydrogen production quality index can be subdivided into a hydrogen production index and a hydrogen purity index, the response capability index can be subdivided into a start-up time index, a ramp rate index, a current overshoot index, a transition time index and a power adjustment range index, the operation energy efficiency index can be subdivided into a DC energy efficiency index, an AC energy efficiency index and a comprehensive energy efficiency index, and the service life index can be subdivided into a start-stop number index and an overload state operation time index.

[0173] S32. Compare the importance of every two performance indicators in each indicator group to obtain a comparison result, and construct a discriminant matrix A based on the comparison result, which is expressed as:

[0174]

[0175] in, Assign a value to the scale obtained by comparing the importance of the i-th performance indicator and the j-th performance indicator.

[0176]

[0177] Table 2

[0178] See Table 2, which is a table of importance scaling rules. In other embodiments, the evaluation results of the fluctuating operating conditions of the alkaline water electrolysis hydrogen production device are used as the target layer, the five first-level indicators of operation safety index, hydrogen production quality index, response capability index, operation energy efficiency index and service life index are used as the criterion layer, and the 13 second-level indicators of operation safety, hydrogen production index, hydrogen purity index, start-up time index, index climbing rate index, current overshoot index, transition time index, power adjustment range index, DC energy efficiency index, AC energy efficiency index, comprehensive energy efficiency index, start-stop number index and overload state operation time index are used as the solution layer. Expert interviews and questionnaires are organized to statistically score the importance of any two indicators in the criterion layer and the solution layer belonging to the same first-level indicator according to the "1-9" scaling rule, and construct a discriminant matrix.

[0179] S33. Use the summation method to calculate and obtain the evaluation weight W, which is expressed as:

[0180]

[0181] in, is the index after normalization of each column of the discriminant matrix, is the index of the judgment matrix added row by row after normalization, for The column vector composed of W is a vector The evaluation weight obtained after normalization.

[0182]

[0183] Table 3

[0184] See Table 3, which is a comparison table of average random consistency indicators. Further, in the operating performance evaluation method of the alkaline water electrolysis hydrogen production device disclosed in this embodiment, step S3 also includes:

[0185] S34. Calculate the consistency index of the discriminant matrix according to the maximum eigenvalue of the discriminant matrix, which is expressed as:

[0186]

[0187] Among them, CI is the consistency index, λ max is the maximum eigenvalue, and n is the order of the discriminant matrix.

[0188] S35. Calculate the consistency ratio of the discriminant matrix based on the consistency index, expressed as:

[0189]

[0190] Among them, CR is the consistency ratio, CI is the consistency index, and RI is the average random consistency index; the average random consistency index RI can be found in Table 3.

[0191] S36: Determine whether the consistency ratio of the discriminant matrix is ​​less than a preset value. If so, determine that the discriminant matrix passes the consistency test and allow subsequent steps to be performed. If the consistency ratio of the discriminant matrix is ​​less than the preset value, the discriminant matrix needs to be adjusted.

[0192] Furthermore, in the operating performance evaluation method of the alkaline water electrolysis hydrogen production device disclosed in this embodiment, before executing step S4, the following steps are performed:

[0193] S5. Modify the obtained evaluation weight to obtain the modified evaluation weight.

[0194] Furthermore, in the operating performance evaluation method of the alkaline water electrolysis hydrogen production device disclosed in this embodiment, before executing step S4, the following steps are performed:

[0195] S51. Evaluate the correlation between any two of the secondary indicators, and construct a direct correlation matrix based on the correlation, and obtain a standard direct correlation matrix based on the direct correlation matrix to obtain a comprehensive impact matrix, which is expressed as:

[0196]

[0197] Among them, N is the direct correlation matrix, N i is the i-th row in the direct correlation matrix, N ij is the element in the i-th row and j-th column of the direct correlation matrix, B is the standard direct correlation matrix, T is the comprehensive influence matrix, b ij To normalize the elements in the direct incidence matrix B, I is the identity matrix, and i and j represent the number of rows and columns in each matrix, respectively.

[0198] In some other embodiments, the degree of correlation between any two secondary indicators in the evaluation system is described using 0 to 4 to construct a direct correlation matrix N, where 0 represents no correlation, 1 represents a weak correlation, 2 represents a moderate correlation, 3 represents a strong correlation, and 4 represents a strong correlation.

[0199] S52. Calculate the centrality of each secondary indicator according to the comprehensive influence matrix;

[0200]

[0201] Among them, f i is the influence, e i is the degree of influence, h i is the centrality;

[0202] S53. Correct the evaluation weights based on the centrality to obtain a comprehensive weight matrix:

[0203]

[0204]

[0205] Among them, h i is the centrality of the i-th secondary indicator, w i is the evaluation weight of the i-th secondary indicator, P is the comprehensive weight matrix, and p i is the comprehensive weight of the i-th secondary indicator, and i≠0. The comprehensive weight matrix can reduce the subjective one-sidedness of the analytic hierarchy process and the decision laboratory method to a certain extent.

[0206] Furthermore, in the operating performance evaluation method of the alkaline water electrolysis hydrogen production device disclosed in this embodiment, in step S4, the performance evaluation result of the alkaline water electrolysis hydrogen production device is calculated by combining the membership matrix and the evaluation weight, including:

[0207] The membership matrix and the evaluation weight are combined and a fuzzy transformation operator is used to perform fuzzy transformation to obtain a fuzzy matrix, and the fluctuation operating performance evaluation result of the alkaline water electrolysis hydrogen production device is determined according to the largest element in the fuzzy matrix.

[0208] For example, the fuzzy transformation operator M (·⊕) is used to perform fuzzy transformation, and the fuzzy matrix D is obtained as follows:

[0209]

[0210] According to the maximum membership principle, the operating performance evaluation level is determined by the maximum element in the fuzzy matrix D, and the final evaluation result of the fluctuating operating performance of the alkaline water electrolysis hydrogen production device is obtained.

[0211] A second embodiment of the present invention discloses a storage medium storing a computer program. When the computer program is executed by a processor, the computer program implements the steps of any of the above-mentioned methods for evaluating the operating performance of an alkaline water electrolysis hydrogen production device.

[0212] By implementing the present invention, the following beneficial effects are achieved:

[0213] The present invention discloses a method for evaluating the operating performance of an alkaline water electrolysis hydrogen production device, comprising the following steps: obtaining operating data of the alkaline water electrolysis hydrogen production device, and calculating the performance indicators of the alkaline water electrolysis hydrogen production device based on the operating data; the performance indicators include primary indicators and secondary indicators; obtaining a preset evaluation quantitative scale, and constructing a corresponding membership function according to the evaluation quantitative scale, and calculating a membership matrix by combining the secondary indicators and the membership function; obtaining the importance of each performance indicator, and determining the evaluation weight of the performance indicator according to the importance; and calculating the performance evaluation result of the alkaline water electrolysis hydrogen production device by combining the membership matrix and the evaluation weight. This method provides a method for evaluating the operating performance of an alkaline water electrolysis hydrogen production device under fluctuating working conditions, and rationally plans the evaluation weights of the performance indicators, so that the performance evaluation results are accurate and comprehensive.

[0214] To address the lack of clear, unified evaluation criteria for alkaline water electrolysis hydrogen production devices, this paper proposes evaluation indicators for five aspects: operational safety, hydrogen production quality, responsiveness, operational energy efficiency, and service life. This method and system establishes an alkaline water electrolysis hydrogen production device operational performance evaluation method and system, covering the three key dimensions of reliability, quality, and cost-effectiveness, which are of primary concern in equipment selection. The evaluation results can serve as a theoretical basis for the performance and quality evaluation and comparison of alkaline water electrolysis hydrogen production devices, and have practical application value.

[0215] It can be understood that the above embodiments only express the preferred implementation methods of the present invention, and the description thereof is relatively specific and detailed, but it cannot be understood as limiting the patent scope of the present invention. It should be pointed out that for ordinary technicians in this field, without departing from the concept of the present invention, the above embodiments or technical features can be freely combined, and several deformations and improvements can be made, which all fall within the scope of protection of the present invention, that is, the embodiments described in "some embodiments" can be freely combined with any of the above and below embodiments. Therefore, all equivalent changes and modifications made to the scope of the claims of the present invention should fall within the scope of coverage of the claims of the present invention.

Claims

1. A method for evaluating the operating performance of an alkaline water electrolysis hydrogen production device, characterized in that: The following steps are involved: S1. Obtaining operating data of an alkaline water electrolysis hydrogen production device, and calculating performance indicators of the alkaline water electrolysis hydrogen production device based on the operating data; the performance indicators include primary indicators and secondary indicators; S2. Obtain a preset evaluation quantitative scale, construct a corresponding membership function according to the evaluation quantitative scale, and calculate a membership matrix by combining the secondary index and the membership function; S3. Obtaining the importance of each performance indicator, and determining the evaluation weight of the performance indicator according to the importance; S4. Calculating a performance evaluation result of the alkaline water electrolysis hydrogen production device based on the membership matrix and the evaluation weight; Wherein, in step S1, obtaining the operating data of the alkaline water electrolysis hydrogen production device includes obtaining the operating data of the alkaline water electrolysis hydrogen production device under a fluctuating operating condition; The first-level indicators include operation safety indicators, hydrogen production quality indicators, response capability indicators, operation energy efficiency indicators and service life indicators; The secondary indicators include continuous low-power operation time index, hydrogen production index, hydrogen purity index, start-up time index, climbing rate index, current overshoot index, transition time index, power adjustment range index, DC energy efficiency index, AC energy efficiency index, comprehensive energy efficiency index, start-stop number index and overload state operation time index.

2. The method for evaluating the operating performance of an alkaline water electrolysis hydrogen production device according to claim 1, wherein: In step S1, the performance indicators of the alkaline water electrolysis hydrogen production device are calculated based on the operating data, including: 1) Based on the maximum duration of time that the output power of the alkaline electrolyzer is lower than the preset power threshold and the upper limit of the continuous low-power operation time, the continuous low-power operation time indicator is calculated: Among them, F1 is the continuous low power operation time indicator, t low Δt is the maximum duration that the output power of the alkaline electrolyzer is lower than the preset power threshold. lowmax The upper limit of continuous low-power operation time; 2) The hydrogen production index is calculated based on the actual hydrogen production volume and the ideal hydrogen production volume during the operation of the alkaline water electrolysis hydrogen production device: Among them, α H2 is the hydrogen production index, V H2 is the actual hydrogen production volume during the operation of the alkaline water electrolysis hydrogen production device, V H2max is the ideal hydrogen production volume during the operation of the alkaline water electrolysis hydrogen production device, n c is the number of cells in the alkaline electrolytic cell, z is the number of electrons transferred in the reaction, F is the Faraday constant, v std is the ideal gas volume under standard conditions; 3) obtaining the concentration of hydrogen products from the water electrolysis hydrogen production device according to the gas analyzer, and recording the concentration of hydrogen products as the hydrogen purity index; 4) According to the actual value of the alkaline electrolytic cell startup time and the reference value of the alkaline electrolytic cell startup time, the startup time index is calculated: Among them, θ1 is the startup time index, t st is the actual value of the alkaline electrolytic cell startup time, t stN It is the reference value of the start-up time of the alkaline electrolyzer; 5) Within a unit time, determining whether the amplitude of the change in the operating power of the alkaline electrolytic cell is greater than a preset amplitude; if so, determining that a ramp event has occurred, and calculating the ramp rate index based on the amplitude of the change in the operating power of the alkaline electrolytic cell: Among them, θ2 is the evaluation index of climbing rate, dP EL is the operating power variation amplitude of the alkaline electrolyzer, P EL is the actual power of the alkaline electrolyzer, P ELN is the rated power of the alkaline electrolyzer, ΔT is the unit time, is the preset amplitude; 6) Calculate the current overshoot index based on the current peak value of the alkaline electrolytic cell under fluctuating operating conditions and the current value of the alkaline electrolytic cell under a stable state: Among them, θ3 is the current overshoot index, I bmax is the peak current of the alkaline electrolytic cell under fluctuating conditions, I b∞ is the current value of the alkaline electrolytic cell in a steady state; 7) Calculate the transition time index based on the actual value of the transition time for the alkaline electrolytic cell to recover from the disturbance to the stable state and the transition time reference value of the alkaline electrolytic cell: Among them, θ4 is the transition time index, T s∞ is the actual value of transition duration, T s is the transition duration benchmark value; 8) Calculate the power adjustment range index based on the minimum power value and the maximum power value during the actual operation of the alkaline electrolytic cell: Among them, θ5 is the power adjustment range indicator, P ELmin is the minimum power value during the actual operation of the alkaline electrolyzer, P ELmax is the maximum power during the actual operation of the alkaline electrolyzer, P ELN is the rated power of the alkaline electrolyzer; 9) Calculate the DC energy efficiency index based on the total DC energy consumption of the alkaline water electrolysis hydrogen production device and the energy actually used for hydrogen production during operation: Among them, η DC is the DC energy efficiency index, W DC is the total DC energy consumption of the alkaline water electrolysis hydrogen production device, W H2 The energy actually used to produce hydrogen during operation; 10) Calculate the AC energy efficiency index based on the total AC energy consumption and the total DC energy consumption of the alkaline water electrolysis hydrogen production device: Among them, η AC is the AC energy efficiency index, W DC is the total DC energy consumption of the alkaline water electrolysis hydrogen production device, W AC is the total AC energy consumption of the alkaline water electrolysis hydrogen production device; 11) Calculate the comprehensive energy efficiency index based on the AC energy efficiency index and the DC energy efficiency index: Among them, η AC is the AC energy efficiency index, η DC is the DC energy efficiency index; 12) Calculate the start-stop number index based on the number of starts and stops during the actual operation of the alkaline electrolytic cell and the maximum number of starts and stops during the service life of the alkaline electrolytic cell: Among them, γ1 is the start-stop number index, N st is the number of starts and stops during the actual operation of the alkaline electrolyzer, N stmax The maximum number of starts and stops during the service life of the alkaline electrolyzer; 13) Calculate the overload state operation time indicator based on the continuous operation time of the alkaline electrolytic cell when the actual voltage is higher than the rated power and the upper limit of the continuous high power operation time of the alkaline electrolytic cell: Among them, γ2 is the operating time index of overload state, t high Δt is the continuous operation time when the actual voltage of the alkaline electrolyzer is higher than the rated power. highmax It is the upper limit of the continuous high power operation time of the alkaline electrolyzer.

3. The method for evaluating the operating performance of an alkaline water electrolysis hydrogen production device according to claim 1, wherein: In step S4, the calculation of the performance evaluation result of the alkaline water electrolysis hydrogen production device by combining the membership matrix and the evaluation weight includes: The membership matrix and the evaluation weight are combined and a fuzzy transformation operator is used to perform fuzzy transformation to obtain a fuzzy matrix, and the fluctuation operating performance evaluation result of the alkaline water electrolysis hydrogen production device is determined according to the largest element in the fuzzy matrix.

4. The method for evaluating the operating performance of an alkaline water electrolysis hydrogen production device according to claim 1, wherein: Before executing step S4, perform the following steps: S5. Modify the obtained evaluation weight to obtain the modified evaluation weight.

5. The method for evaluating the operating performance of an alkaline water electrolysis hydrogen production device according to claim 1, wherein: In step S2, the evaluation quantitative scale includes evaluation grades and indicator values, and each evaluation grade corresponds to each indicator value; The evaluation grading includes: a first evaluation grading with an index value of 0.9, a second evaluation grading with an index value of 0.8, a third evaluation grading with an index value of 0.6, and a fourth evaluation grading with an index value of 0.4; The membership function includes: in, is the membership function of the secondary indicator corresponding to the first evaluation rating, is the membership function of the secondary indicator corresponding to the second evaluation rating, is the membership function of the secondary indicator corresponding to the third evaluation rating, is the membership function of the secondary indicator corresponding to the fourth evaluation grade, is the i-th secondary indicator; The membership matrix is: Where R is the membership matrix, Substitute the membership function corresponding to the j-th evaluation rating into the i-th secondary indicator to obtain the function value.

6. The method for evaluating the operating performance of an alkaline water electrolysis hydrogen production device according to claim 1, wherein: Step S3 includes: S31, grouping the performance indicators to obtain indicator groups; S32. Compare the importance of every two performance indicators in each indicator group to obtain a comparison result, and construct a discriminant matrix based on the comparison result, which is expressed as: Among them, A is the discriminant matrix, Assign a value to the scale obtained by comparing the importance of the i-th performance indicator and the j-th performance indicator; S33. Calculate the evaluation weight using the summation method, expressed as: in, is the index after normalization of each column of the discriminant matrix, is the index of the judgment matrix added row by row after normalization, for The column vector composed of W is a vector The evaluation weight obtained after normalization.

7. The method for evaluating the operating performance of an alkaline water electrolysis hydrogen production device according to claim 6, wherein: Step S3 further includes: S34. Calculate the consistency index of the discriminant matrix according to the maximum eigenvalue of the discriminant matrix, which is expressed as: Among them, CI is the consistency index, λ max is the maximum eigenvalue, n is the order of the discriminant matrix; S35. Calculate the consistency ratio of the discriminant matrix based on the consistency index, expressed as: Among them, CR is the consistency ratio, CI is the consistency index, and RI is the average random consistency index; S36: Determine whether the consistency ratio of the discriminant matrix is ​​less than a preset value. If so, determine that the discriminant matrix passes the consistency test and allow subsequent steps to be executed.

8. The method for evaluating the operating performance of an alkaline water electrolysis hydrogen production device according to claim 1, wherein: Before executing step S4, perform the following steps: S51. Evaluate the correlation between any two of the secondary indicators, and construct a direct correlation matrix based on the correlation, and obtain a standard direct correlation matrix based on the direct correlation matrix to obtain a comprehensive impact matrix, which is expressed as: Among them, N is the direct correlation matrix, N i is the i-th row in the direct correlation matrix, N ij is the element in the i-th row and j-th column of the direct correlation matrix, B is the standard direct correlation matrix, T is the comprehensive influence matrix, b ij To normalize the elements in the direct correlation matrix B, I is the identity matrix, i and j represent the number of rows and columns in each matrix, respectively; S52. Calculate the centrality of each secondary indicator according to the comprehensive influence matrix; Among them, f i is the influence, e i is the degree of influence, h i is the centrality; S53. Correct the evaluation weights based on the centrality to obtain a comprehensive weight matrix: Among them, h i is the centrality of the i-th secondary indicator, w i is the evaluation weight of the i-th secondary indicator, P is the comprehensive weight matrix, and p i is the comprehensive weight of the i-th secondary indicator, and i≠0.

9. A storage medium storing a computer program, characterized in that: When executed by a processor, the computer program implements the steps of the method for evaluating the operating performance of an alkaline water electrolysis hydrogen production device according to any one of claims 1 to 8.

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