Optical hydrogen storage collection station comprehensive performance analysis and evaluation method and system based on digital-analog fusion

Abstract

The invention discloses an optical hydrogen storage station comprehensive performance analysis and evaluation method and system based on digital-analog fusion, and the method comprises the steps: determining input data according to the construction and operation characteristics of an optical hydrogen storage station; determining the weight of each evaluation index, calculating positive and negative ideal solutions of the operation mode samples of the optical hydrogen storage station, sorting the operation mode samples of the optical hydrogen storage station according to the relative closeness, and constructing a comprehensive analysis and evaluation model; and inputting the input data into the comprehensive analysis and evaluation model to obtain a comprehensive analysis result, and updating and guiding the operation mode and capacity configuration of the optical hydrogen storage station according to the comprehensive analysis result. According to the optical hydrogen storage collection station comprehensive performance analysis and evaluation method based on the digital-analog fusion method, an optimized evaluation method is introduced, and accurate and comprehensive analysis and evaluation are carried out in combination with multi-source data information; according to the method, capacity configuration and operation optimization of the optical hydrogen storage station can be effectively guided, and the utilization rate of photovoltaic power generation resources and the operation efficiency of an electric hydrogen production device are improved to the maximum extent.

Description

Technical Field

[0001] The present invention relates to the technical field of comprehensive performance evaluation of a photovoltaic hydrogen storage station, and in particular to a comprehensive performance analysis and evaluation method and system for a photovoltaic hydrogen storage station based on digital-analog fusion. Background Art

[0002] New energy stations are developing rapidly, energy utilization forms are changing continuously, and the trend of carbon reduction and hydrogenation is obvious. In the face of environmental problems of traditional fossil fuels, achieving sustainable development and carbon neutrality has become a global focus. National policies are oriented towards clean energy, and renewable energy, as an important carrier of the new power system, has important research significance for energy transformation.

[0003] The coupling and integration of multiple complementary energy conversion technologies have broken the limitations of traditional control systems, but the randomness and volatility of photovoltaic power generation have caused difficulties in large-scale grid connection and absorption, which requires flexible resources of the power system such as battery energy storage to solve. In addition, the way of obtaining hydrogen energy by electrolysis of water from photovoltaic power generation can promote the grid connection and absorption of new energy and alleviate the problems of wind and light abandonment. However, in the context of research on integrating photovoltaic-energy storage-hydrogen production and other new energy power generation, what kind of operation mode and capacity ratio should be adopted to adapt to different working conditions, different parameters and even different market demands. Simple analysis and comparison are difficult to make a comprehensive evaluation of each scheme, and it is impossible to make an effective evaluation of the power generation performance of the whole station. Therefore, it is urgent to propose an effective technical method under the guidance of multidisciplinary theory, which can not only complete the comprehensive performance analysis and evaluation under the background of photovoltaic-energy storage-hydrogen production and other new energy power generation, but also effectively guide the optimization design and operation strategy of renewable energy integrated collection stations in actual engineering applications, break the limitations of existing research results and the barriers to practical engineering application, help achieve carbon neutrality goals, and realize the large-scale and diversified utilization of renewable energy. Summary of the invention

[0004] The purpose of this section is to summarize some aspects of embodiments of the present invention and briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section and the specification abstract and the invention title of this application to avoid blurring the purpose of this section, the specification abstract and the invention title, and such simplifications or omissions cannot be used to limit the scope of the present invention.

[0005] In view of the above existing problems, the present invention is proposed. Therefore, the present invention provides a comprehensive performance analysis and evaluation method of photovoltaic hydrogen storage station based on digital-analog fusion to solve the problems of how to effectively deal with the grid-connected consumption caused by the randomness and volatility of photovoltaic power generation and optimize it by using resources such as battery energy storage, how to conduct comprehensive performance evaluation of photovoltaic-energy storage-hydrogen production and other new energy power generation, how to achieve more comprehensive and specific optimization design and operation strategies while ensuring the accuracy of analysis, and how to break through the limitations of existing research and promote the large-scale and diversified utilization of renewable energy.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0007] In a first aspect, the present invention provides a comprehensive performance analysis and evaluation method for a photovoltaic hydrogen storage station based on digital-analog fusion, comprising:

[0008] Determine input data according to the construction and operation characteristics of the photovoltaic hydrogen storage station, wherein the input data includes a comprehensive analysis and evaluation index set, photovoltaic hydrogen storage station operating parameters, and photovoltaic hydrogen storage station operation mode;

[0009] Normalize the values ​​of each evaluation index and determine the weight of each evaluation index, calculate the positive and negative ideal solutions of the operation mode samples of the light hydrogen storage station, and sort the operation mode samples of the light hydrogen storage station according to the relative closeness, and build a comprehensive analysis and evaluation model;

[0010] The input data is input into a comprehensive analysis and evaluation model to obtain a comprehensive analysis result, and the operation mode and capacity configuration of the optical hydrogen storage station are guided based on the comprehensive analysis result, the real-time operation conditions of hydrogen production by electricity, and the market demand policy update.

[0011] As a preferred solution of the comprehensive performance analysis and evaluation method of the optical hydrogen storage station based on digital-analog fusion described in the present invention, wherein: the input data includes a comprehensive analysis and evaluation index set, optical hydrogen storage station operating parameters and optical hydrogen storage station operation mode, including:

[0012] The comprehensive analysis and evaluation indicator set includes the target layer, the analysis and evaluation indicator layer and the primary technical indicator layer, among which the analysis and evaluation indicator layer is the first-level evaluation indicator and the primary technical indicator layer is the second-level evaluation indicator;

[0013] The operating modes of the solar hydrogen storage station are divided into green electricity hydrogen production, the most economical mode hydrogen production and hydrogen production with maximum hydrogen production.

[0014] As a preferred solution of the comprehensive performance analysis and evaluation method of the optical hydrogen storage station based on digital-analog fusion described in the present invention, the analysis and evaluation index layer is the first-level evaluation index, and the primary technical index layer is the second-level evaluation index, including:

[0015] The first-level evaluation indicators include hydrogen production efficiency, economic benefits, environmental benefits and operation characteristics;

[0016] Based on the working principle of the photovoltaic hydrogen storage station, the hydrogen production efficiency includes hydrogen production and unit energy consumption;

[0017] By analyzing the operation mode of the collection station, the economic benefits include grid-side benefits, hydrogen production benefits and dispatch signal penalties. The grid-side benefits include photovoltaic grid-connected income and grid power purchase costs. The hydrogen production side benefits include hydrogen produced by electricity sales and hydrogen production equipment and subsidies stipulated by the government's hydrogen energy policy.

[0018] Based on the working principle of the photovoltaic hydrogen storage station and the characteristics of renewable energy utilization, the environmental benefits include renewable energy consumption rate and carbon emissions;

[0019] Based on the operating characteristics of the electric hydrogen production device of the photohydrogen storage collection station, the response of the collection station to scheduling instructions and the operating characteristics of the energy storage battery, the operating characteristics include the smoothness of hydrogen production power, the response to scheduling instructions and the number of energy storage charge and discharge times.

[0020] As a preferred solution of the comprehensive performance analysis and evaluation method of the optical hydrogen storage station based on digital-analog fusion described in the present invention, wherein: the values ​​of each evaluation index are normalized and the weights of each evaluation index are determined, including:

[0021] Suppose that m samples of operation modes of photovoltaic hydrogen storage stations are evaluated, the index set contains n evaluation indicators, and the index matrix R = (r ij ) m×n It is expressed as:

[0022]

[0023] Among them, m is the number of samples of the operation mode of the light hydrogen storage station, n is the number of evaluation indicators, r ij is the index value corresponding to the sample of the operation mode of the light hydrogen storage station, (i=1,2,...,m; j=1,2,…,n);

[0024] Normalizing the indicator matrix to obtain a dimensionless indicator matrix;

[0025] The entropy weight method is used to determine the weight of each evaluation index and obtain the weighted standardized matrix.

[0026] As a preferred solution of the comprehensive performance analysis and evaluation method of the optical hydrogen storage station based on digital-analog fusion described in the present invention, the positive and negative ideal solutions of the optical hydrogen storage station operation mode samples are calculated, including:

[0027] Determine the maximum and minimum values ​​of each evaluation index respectively, and use the maximum value of the positive index and the minimum value of the negative index to form a positive ideal solution, and use the minimum value of the positive index and the maximum value of the negative index to form a negative ideal solution;

[0028] The Euclidean distance and grey correlation degree of the operation mode samples of the optical hydrogen storage station to the positive ideal solution and the negative ideal solution are calculated.

[0029] As a preferred solution of the comprehensive performance analysis and evaluation method of the optical hydrogen storage station based on digital-analog fusion described in the present invention, wherein: the optical hydrogen storage station operation mode samples are sorted according to the relative closeness, including:

[0030] The Euclidean distance and grey correlation degree of the light hydrogen storage station operation mode sample to the positive ideal solution and the negative ideal solution are dimensionless, and the dimensionless Euclidean distance and grey correlation degree are expressed as follows:

[0031]

[0032] Among them, e1 and e2 are the decision maker’s preferences for location and shape. and They are the closeness of the operation mode samples of the photohydrogen storage station to the positive ideal solution and the negative ideal solution respectively.

[0033] As a preferred solution of the comprehensive performance analysis and evaluation method of the optical hydrogen storage station based on digital-analog fusion described in the present invention, it is characterized in that it also includes:

[0034] The relative closeness is calculated by combining the results of Euclidean distance and grey relational degree.

[0035]

[0036] Among them, δ i Relative closeness, and are the closeness of the samples of the operation mode of the light hydrogen storage station to the positive ideal solution and the negative ideal solution respectively;

[0037] The samples of the operation modes of the optical hydrogen storage station are sorted according to the relative closeness, and the relative closeness sorting represents the good and bad sorting of the samples of the operation modes of the optical hydrogen storage station.

[0038] In a second aspect, the present invention provides a system for comprehensive performance analysis and evaluation of a photovoltaic hydrogen storage station based on digital-analog fusion, comprising:

[0039] An input data module is used to determine input data according to the construction and operation characteristics of the optical hydrogen storage station, wherein the input data includes a comprehensive analysis and evaluation index set, operating parameters of the optical hydrogen storage station, and an operation mode of the optical hydrogen storage station;

[0040] The indicator normalization processing module is used to normalize the values ​​of each evaluation indicator and determine the weight of each evaluation indicator;

[0041] The sorting module is used to calculate the positive and negative ideal solutions of the operation mode samples of the light hydrogen storage station, sort the operation mode samples of the light hydrogen storage station according to the relative closeness, and build a comprehensive analysis and evaluation model;

[0042] The comprehensive analysis output module is used to input the input data into the comprehensive analysis evaluation model to obtain the comprehensive analysis results, and update the guidance of the operation mode and capacity configuration of the optical hydrogen storage station according to the comprehensive analysis results, the real-time operation conditions of hydrogen production by electricity, and the market demand policy.

[0043] In a third aspect, the present invention provides a computing device, comprising:

[0044] Memory and processor;

[0045] The memory is used to store computer executable instructions, and the processor is used to execute the computer executable instructions. When the computer executable instructions are executed by the processor, the steps of the comprehensive performance analysis and evaluation method of the optical hydrogen storage station based on digital-analog fusion are implemented.

[0046] In a fourth aspect, the present invention provides a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, implement the steps of the method for comprehensive performance analysis and evaluation of a photohydrogen storage station based on digital-analog fusion.

[0047] Compared with the prior art, the present invention has the following beneficial effects: the present invention combines the digital, physical, and information multi-source data information of the photovoltaic-energy storage-hydrogen production integrated station, and makes an accurate and comprehensive analysis and evaluation on the comprehensive performance of the photovoltaic hydrogen storage station in view of the influence of different market demands, goals, and policies; not only a multi-dimensional comprehensive analysis and evaluation indicator set is proposed, but also an optimized evaluation method is introduced to conduct accurate and comprehensive analysis and evaluation in combination with multi-source data information; this method can effectively guide the capacity configuration and operation optimization of the photovoltaic hydrogen storage station, maximize the utilization rate of photovoltaic power generation resources and the operating efficiency of the electric hydrogen production device, and also realize the reasonable output of the energy storage unit; in addition, the present invention avoids the shortcomings of poor objectivity of weights, low accuracy of evaluation results, and defects in the overall evaluation of system solutions in traditional evaluation methods, and provides a useful reference for the comprehensive power generation of renewable energy in new power systems, and provides important guiding significance for future energy management and optimization. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative labor. Among them:

[0049] Figure 1 It is a schematic diagram of the overall process of a comprehensive performance analysis and evaluation method of a photovoltaic hydrogen storage station based on digital-analog fusion according to an embodiment of the present invention;

[0050] Figure 2 A schematic diagram of a technical route of a comprehensive performance analysis and evaluation method of a photovoltaic hydrogen storage station based on digital-analog fusion according to an embodiment of the present invention;

[0051] Figure 3A schematic diagram of an evaluation index set for a comprehensive performance analysis and evaluation method for a hydrogen storage station based on digital-analog fusion according to an embodiment of the present invention;

[0052] Figure 4 A schematic diagram of power allocation in a green electricity hydrogen production mode of a comprehensive performance analysis and evaluation method for a photovoltaic hydrogen storage station based on digital-analog fusion according to an embodiment of the present invention;

[0053] Figure 5 A schematic diagram of the comprehensive electricity-to-hydrogen energy conversion efficiency of a green electricity hydrogen production mode according to a comprehensive performance analysis and evaluation method for a photovoltaic hydrogen storage station based on digital-analog fusion according to an embodiment of the present invention;

[0054] Figure 6 A schematic diagram of power allocation in a maximizing hydrogen production mode of a comprehensive performance analysis and evaluation method for a hydrogen storage station based on digital-analog fusion according to an embodiment of the present invention;

[0055] Figure 7 A schematic diagram of the comprehensive electricity-to-hydrogen energy conversion efficiency in the maximization hydrogen production mode of the comprehensive performance analysis and evaluation method of a hydrogen storage station based on digital-analog fusion according to an embodiment of the present invention;

[0056] Figure 8 A schematic diagram of power allocation in an economic hydrogen production mode of a comprehensive performance analysis and evaluation method for a photovoltaic hydrogen storage station based on digital-analog fusion according to an embodiment of the present invention;

[0057] Fig. 9 This is a schematic diagram of the comprehensive electricity-to-hydrogen energy conversion efficiency of an economic hydrogen production model according to a comprehensive performance analysis and evaluation method for a photovoltaic hydrogen storage station based on digital-analog fusion as described in an embodiment of the present invention. DETAILED DESCRIPTION

[0058] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0059] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0060] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive with other embodiments.

[0061] The present invention is described in detail with reference to schematic diagrams. When describing the embodiments of the present invention, for the sake of convenience, the cross-sectional diagrams showing the device structure will not be partially enlarged according to the general scale, and the schematic diagrams are only examples, which should not limit the scope of protection of the present invention. In addition, in actual production, the three-dimensional dimensions of length, width and depth should be included.

[0062] At the same time, in the description of the present invention, it should be noted that the orientations or positional relationships indicated by the terms "upper, lower, inner and outer" are based on the orientations or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the system or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, the terms "first, second or third" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance.

[0063] In the present invention, unless otherwise clearly specified and limited, the terms "install, connect, connect" should be understood in a broad sense, for example: it can be a fixed connection, a detachable connection or an integral connection; it can also be a mechanical connection, an electrical connection or a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0064] Example 1

[0065] Reference Figure 1-3 , which is an embodiment of the present invention, provides a comprehensive performance analysis and evaluation method of a photovoltaic hydrogen storage station based on digital-analog fusion, including:

[0066] S100: Determine input data according to the construction and operation characteristics of the photovoltaic hydrogen storage station, the input data including a comprehensive analysis and evaluation index set, photovoltaic hydrogen storage station operating parameters and photovoltaic hydrogen storage station operation mode;

[0067] Furthermore, the comprehensive analysis and evaluation indicator set is respectively composed of the target layer, the analysis and evaluation indicator layer and the primary technical indicator layer, wherein the analysis and evaluation indicator layer is the primary evaluation indicator and the primary technical indicator layer is the secondary evaluation indicator;

[0068] The operating modes of the solar hydrogen storage station are divided into green electricity hydrogen production, the most economical mode hydrogen production and hydrogen production with maximum hydrogen production.

[0069] Furthermore, the first-level evaluation indicators include hydrogen production efficiency, economic benefits, environmental benefits and operating characteristics; e.g. Figure 3 As shown;

[0070] Based on the working principle of the photovoltaic hydrogen storage station, the hydrogen production efficiency includes hydrogen production and unit energy consumption;

[0071] By analyzing the operation mode of the collection station, the economic benefits include grid-side benefits, hydrogen production benefits and dispatch signal penalties. The grid-side benefits include photovoltaic grid-connected income and grid power purchase costs. The hydrogen production side benefits include hydrogen produced by electricity sales and hydrogen production equipment and subsidies stipulated by the government's hydrogen energy policy.

[0072] Based on the working principle of the photovoltaic hydrogen storage station and the characteristics of renewable energy utilization, the environmental benefits include renewable energy consumption rate and carbon emissions;

[0073] Based on the operation characteristics of the electric hydrogen production device of the light hydrogen storage collection station, the response of the collection station to the dispatching instructions and the operation characteristics of the energy storage battery, the operation characteristics include the smoothness of the hydrogen production power, the response to the dispatching instructions and the number of energy storage charge and discharge times;

[0074] Preferably, the hydrogen production and unit energy consumption are expressed as follows:

[0075] ① Hydrogen production:

[0076]

[0077] Among them, P H,t is the electrolytic cell input power at time t, is the electrolysis current, in A, which has a functional relationship with the electrolysis voltage, V t is the electrolysis voltage, in V, is the rate of hydrogen production by electrolysis of water, in mol / s, F is the Faraday constant, which is 96485C / mol, and η F is the Faraday efficiency, which can be regarded as a constant and is taken as 99%. V mol is the gas molar volume under standard conditions, which is 22.4 L / mol, T is the total duration of the scheduling period, and Δt is the scheduling time interval;

[0078] ②Unit energy consumption:

[0079] P in,t =P H,t +P aux,t

[0080]

[0081] Among them, P in,t is the input power of the PEM hydrogen production device, P H,t is the PEM electrolyzer power, P aux,tis the power of the auxiliary equipment, V is the total hydrogen production in the T period, in Nm3, The unit is kWh / Nm3;

[0082] Preferably, the auxiliary equipment power includes a circulation pump, an active cooling system, a water purifier, a compressor, etc.;

[0083] Preferably, the grid-side revenue, hydrogen-production-side revenue and dispatch signal penalty are expressed as follows:

[0084] ① Photovoltaic grid-connected income

[0085]

[0086] Among them, R grid is the electricity sales revenue in the dispatch period T, R G,t is the electricity sales amount in period t, P B.G,t is the energy storage grid-connected power in period t, where P B.G,t >0 means the energy storage is in the discharging state and the discharging power is used for grid connection. pv.G,t is the photovoltaic grid-connected power in period t, β sta is the benchmark electricity price for photovoltaic grid connection, β b The on-grid tariff for energy storage contribution;

[0087] Preferably, if the price of solar energy storage is unified, then β sta =β b ;

[0088] ② Cost of purchasing electricity from the power grid

[0089]

[0090] S G,t =β grid P G,t Δt

[0091] Among them, S grid is the electricity purchase cost in the dispatch period T, S G,t is the electricity purchase cost in the tth period, β grid,t is the time-of-use electricity price of the power grid at time t;

[0092] ③ Revenue from hydrogen sales

[0093]

[0094] in, is the total hydrogen production of the light hydrogen storage station during the scheduling period T, in kg, ρ H is the density of hydrogen, in kg / Nm3, V is the total volume of hydrogen produced during the scheduling period T, in Nm3, c H is the price of hydrogen, in yuan / kg;

[0095] It should be noted that when calculating the revenue from hydrogen sales, if it is assumed that all the hydrogen produced can be sold, the above formula is used for calculation. If not all of it can be sold, it is calculated based on the downstream hydrogen demand.

[0096] ④Government hydrogen energy subsidies

[0097]

[0098] Among them, c subs is the subsidy price of hydrogen, in yuan / kg;

[0099] It should be noted that the government hydrogen subsidy part of this plan takes the hydrogen subsidy policy of Guangdong Province as an example, and provides operating subsidies for hydrogen stations with a daily hydrogen refueling capacity of more than 500kg. The subsidy standard is 15 yuan / kg for hydrogen sales price not higher than 30 yuan / kg;

[0100] ⑤Scheduling signal penalty

[0101]

[0102] Among them, S AGC is the penalty fee for AGC dispatch signal in dispatch period T, S AGC,t is the penalty fee for AGC scheduling signal within the duration of Δt, P AGC,t is the grid-connected power corresponding to the AGC instruction at sampling time t, β pun Penalize price for electricity assessment;

[0103] Preferably, the renewable energy consumption rate and carbon emissions are expressed as follows:

[0104] ① Photovoltaic consumption rate

[0105]

[0106] Among them, P pv,t is the available photovoltaic power generation at time t, P G,t is the grid-connected power, P Bc,t is the energy storage charging power, P Bd,t is the energy storage discharge power, P H,t The power of hydrogen production from electricity;

[0107] It should be noted that P pv,t is the available photovoltaic power generation at time t, and the actual power utilization is determined by the grid-connected power P G,t , Energy storage charging power P Bc,t , energy storage discharge power P Bd,t 、Electric hydrogen production power P H,t Calculated

[0108] ②Carbon emissions

[0109]

[0110] O carbon =η carbon m carbon

[0111] Among them, m carbon is the total carbon emissions, ξ carbon is the carbon emission coefficient, η carbon is the carbon tax rate.

[0112] It should be noted that the calculation of carbon emissions from solar hydrogen storage power stations mainly considers the purchase of electricity from the grid to produce hydrogen through water electrolysis;

[0113] Preferably, the hydrogen production power smoothness, the dispatch instruction response and the energy storage charge and discharge times are expressed by the formula:

[0114] ① Hydrogen production power smoothness:

[0115]

[0116] Among them, f H is the hydrogen production power smoothness, The average power input to the electric hydrogen production device during the scheduling period;

[0117] It should be noted that although the electric hydrogen production device can withstand a certain amount of fluctuating power, it may cause frequent changes in operating parameters and affect the purity of hydrogen. At the same time, since the current device design tends to stabilize the power supply, frequent power fluctuations may cause the attenuation of key components and even cause safety hazards. Therefore, the power curve of the electric hydrogen production device should reduce fluctuations as much as possible and introduce hydrogen production power smoothness. The smaller the value of this index, the smoother the hydrogen production power.

[0118] ②Scheduling instruction response

[0119] It should be noted that the aforementioned dispatch signal penalty only considers the part where the actual grid-connected power of the photovoltaic hydrogen storage station exceeds the planned grid-connected power. Here, the main considerations are the regulation depth and response rate of the station in response to the dispatch instruction;

[0120] 1) The calculation formula for the scheduling instruction adjustment depth is:

[0121]

[0122] Among them, D j is the adjustment depth of the jth station, P AGC P0 and P1 are the power value and initial output corresponding to the jth AGC instruction of the station, respectively. j,max D is the maximum output of the station according to the command direction. avgis the average instruction adjustment depth, N is the number of adjustment processes after the AGC instruction is issued, and n is the number of corresponding statistical time periods;

[0123] However, if the scheduling instruction adjustment depth is calculated on a monthly basis (n=12), the monthly average scheduling instruction adjustment depth D is obtained. mon , in the following evaluation results of the light hydrogen storage station, the average adjustment depth each time is calculated, n = N;

[0124] 2) The calculation formula of the dispatch instruction response rate is:

[0125]

[0126] Among them, R j is the response of the jth station to the AGC command. When the station responds to the AGC command, it is recorded as 1, and when it does not respond, it is recorded as 0. avg is the average instruction response rate;

[0127] ③Energy storage charge and discharge times

[0128]

[0129] Among them, N Bc is the number of energy storage charges within the scheduling period T, N Bd is the number of energy storage discharges, P Bc,t is the energy storage charging power, P Bd,t is the energy storage discharge power;

[0130] It should also be noted that the main task of the photovoltaic hydrogen storage station is to use photovoltaic power generation and electric hydrogen production equipment to produce green hydrogen. Therefore, the primary indicator of the comprehensive analysis and evaluation is to focus on the energy efficiency performance of the hydrogen production process. As an independent individual in the electric energy system, the photovoltaic hydrogen storage station can interact with other individuals to obtain economic benefits. Considering that the present invention will be applied in actual engineering, economic benefits are taken as the second evaluation indicator; in addition to economic benefits, the photovoltaic hydrogen storage station, as a form of renewable energy utilization, has significant environmental benefits, which can promote large-scale renewable energy development and achieve the goals of carbon peak and carbon neutrality; the comprehensive evaluation of the photovoltaic hydrogen storage station also needs to consider the operating characteristics, which are mainly defined from three aspects: hydrogen production power smoothness, dispatching command response and energy storage charge and discharge times, which correspond to the operating characteristics of the electric hydrogen production device, the station's response to dispatching commands and the energy storage battery's operating characteristics.

[0131] S102: normalize the values ​​of each evaluation index and determine the weight of each evaluation index, calculate the positive and negative ideal solutions of the light hydrogen storage station operation mode samples, and sort the light hydrogen storage station operation mode samples according to relative closeness, and build a comprehensive analysis and evaluation model;

[0132] Furthermore, suppose that m samples of the operation modes of the photovoltaic hydrogen storage station are evaluated, and the index set contains n evaluation indicators, and the index matrix R = (r ij ) m×n It is expressed as:

[0133]

[0134] Among them, m is the number of samples of the operation mode of the light hydrogen storage station, n is the number of evaluation indicators, r ij is the index value corresponding to the sample of the operation mode of the light hydrogen storage station, (i=1,2,…,m; j=1,2,…,n);

[0135] Normalize the indicator matrix to obtain a dimensionless indicator matrix;

[0136] The entropy weight method is used to determine the weight of each evaluation index and obtain the weighted standardized matrix;

[0137] Preferably, the indicator matrix is ​​normalized to obtain a dimensionless indicator matrix expressed as:

[0138]

[0139] Where m is the number of samples of the operation mode of the light hydrogen storage station, n is the number of evaluation indicators, (i = 1, 2, ..., m; j = 1, 2, ..., n), r ij is the corresponding index value of the sample of the light hydrogen storage station operation mode, X ij is the dimensionless indicator matrix;

[0140] Preferably, the entropy weight method is used to determine the weight of each indicator. According to the definition of entropy, the entropy value bj of the j-th indicator is calculated as:

[0141]

[0142] Among them, m is the number of samples of the operation mode of the light hydrogen storage station, n is the number of evaluation indicators, and X ij is the dimensionless index matrix, b j is the entropy value of the j-th indicator, a ij is the proportion of the ith option under the jth risk level;

[0143] Preferably, a ij is the proportion of the ith option under the jth risk level, then the entropy weight of the jth indicator is:

[0144]

[0145] Among them, n is the number of evaluation indicators, b j is the entropy value of the jth indicator, v jis the entropy weight of the j-th indicator, (i=1,2,…,m; j=1,2,…,n),

[0146] Preferably, the indicator weight column vector is:

[0147] V=(v1,v2,...,v n ) T

[0148] Among them, n is the number of evaluation indicators, V i is the indicator weight;

[0149] Preferably, the normalized indicator matrix is ​​multiplied by the corresponding indicator weight to obtain a weighted normalized matrix:

[0150] Y=(y ij ) m×n =(v i x ij ) m×n

[0151] Among them, Y is the weighted normalization matrix, V i is the indicator weight, X ij is a dimensionless index matrix, m is the number of samples of the operation mode of the light hydrogen storage station, and n is the number of evaluation indicators (i=1,2,...,m; j=1,2,...,n);

[0152] Furthermore, the maximum and minimum values ​​of each evaluation index are determined respectively, and the maximum value of the positive index and the minimum value of the negative index constitute the positive ideal solution, and the minimum value of the positive index and the maximum value of the negative index constitute the negative ideal solution;

[0153] Calculate the Euclidean distance and grey correlation degree of the operation mode samples of the optical hydrogen storage station to the positive ideal solution and the negative ideal solution;

[0154] Preferably, the positive and negative ideal solutions are expressed by the formula:

[0155]

[0156] Where m is the number of samples of the operation mode of the light hydrogen storage station, n is the number of evaluation indicators, (i=1,2,...,m; j=1,2,...,n), j + is a positive indicator, j - is a negative indicator, Y is a weighted normalization matrix, (i=1, 2, ..., m; j=1, 2, ..., n), is a positive ideal solution, is a negative ideal solution;

[0157] Preferably, the one that produces benefits is a positive indicator, the positive indicator value is 1, and the negative indicator value is 0;

[0158] Preferably, the Euclidean distances between the light hydrogen storage station operation mode sample i and the positive ideal solution and the negative ideal solution are respectively and Then we can get:

[0159]

[0160] Among them, Y is the weighted normalization matrix, is the Euclidean distance from sample i to the positive ideal solution, is the Euclidean distance from sample i to the negative ideal solution, (i=1,2,...,m; j=1,2,...,n), m is the number of samples of the light hydrogen storage station operation mode, and n is the number of evaluation indicators;

[0161] Preferably, calculating the grey relational degree of the sample to the positive ideal solution and the negative ideal solution includes:

[0162] ① Based on the weighted standardized matrix, the grey correlation coefficient of the i-th optical hydrogen storage station operation mode sample and the positive ideal sample on the j-th indicator is calculated:

[0163]

[0164] Among them, Y is the weighted normalization matrix, is the minimum difference between the two levels, is the maximum difference between the two levels, ρ∈[0,1] is the resolution coefficient, which is generally taken as 0.5, S ij is the grey correlation coefficient between the i-th light hydrogen storage station operation mode sample and the positive ideal sample with respect to the j-th index, (i=1,2,…,m; j=1,2,…,n), m is the number of light hydrogen storage station operation mode samples, and n is the number of evaluation indicators;

[0165] Preferably, the grey correlation coefficient matrix of each optical hydrogen storage station operation mode sample and the positive ideal sample is:

[0166]

[0167] in, is the grey correlation coefficient between the i-th light hydrogen storage station operation mode sample and the positive ideal sample with respect to the j-th index, (i=1,2,…,m; j=1,2,…,n), m is the number of light hydrogen storage station operation mode samples, n is the number of evaluation indicators, W + is the grey correlation coefficient matrix of the operation mode samples of each solar hydrogen storage station and the positive ideal samples;

[0168] The grey correlation between the i-th optical hydrogen storage station operation mode sample and the positive ideal sample is:

[0169]

[0170] Among them, W + is the grey correlation coefficient matrix between the operation mode samples of each photohydrogen storage station and the positive ideal samples, m is the number of operation mode samples of photohydrogen storage station, n is the number of evaluation indicators, (i=1,2,…,m; j=1,2,…,n);

[0171] ② Calculate the grey correlation coefficient between the i-th sample and the negative ideal sample with respect to the j-th index.

[0172]

[0173] Among them, Y is the weighted normalization matrix, is the minimum difference between the two levels, is the maximum difference between the two levels, ρ∈[0,1] is the resolution coefficient, which is generally taken as 0.5, S ij is the grey correlation coefficient between the i-th solar hydrogen storage station operation mode sample and the positive ideal sample with respect to the j-th index, is the grey correlation coefficient between the i-th light hydrogen storage station operation mode sample and the negative ideal sample with respect to the j-th index, (i=1,2,...,m; j=1,2,...,n), m is the number of light hydrogen storage station operation mode samples, and n is the number of evaluation indicators;

[0174] Preferably, the grey correlation coefficient matrix of each optical hydrogen storage station operation mode sample and the negative ideal sample is:

[0175]

[0176] in, is the grey correlation coefficient between the i-th solar hydrogen storage station operation mode sample and the negative ideal sample with respect to the j-th index, W - is the grey correlation coefficient matrix between the operation mode samples of each photohydrogen storage station and the negative ideal samples, (i=1,2,…,m; j=1,2,…,n), m is the number of operation mode samples of photohydrogen storage station, and n is the number of evaluation indicators;

[0177] The grey relational degree between the i-th sample and the negative ideal sample is

[0178]

[0179] Among them, W - is the grey correlation coefficient matrix of each light hydrogen storage station operation mode sample and the negative ideal sample, m is the number of light hydrogen storage station operation mode samples, n is the number of evaluation indicators, (i=1,2,…,m; j=1,2,…,n);

[0180] Furthermore, the Euclidean distance and grey correlation degree of the light hydrogen storage station operation mode samples to the positive ideal solution and the negative ideal solution are dimensionless, and the dimensionless Euclidean distance and grey correlation degree are expressed as follows:

[0181]

[0182] in, are dimensionless values, e1 and e2 are the decision makers’ preferences for location and shape, and are the closeness of the operation mode samples of the light hydrogen storage station to the positive ideal solution and the negative ideal solution, respectively. - is the grey correlation coefficient matrix of the operation mode samples of each solar hydrogen storage station and the negative ideal samples, W + is the grey correlation coefficient matrix between the operation mode samples of each optical hydrogen storage station and the positive ideal samples, (i=1,2,...,m; j=1,2,...,n), m is the number of operation mode samples of the optical hydrogen storage station, and n is the number of evaluation indicators;

[0183] Preferably, e1+e2=1, and the decision maker can decide the values ​​of e1 and e2 according to his or her own preferences;

[0184] Preferably, the dimensionless processing is expressed by the formula:

[0185]

[0186] Among them, φ i represent are dimensionless values, (i=1,2,...,m; j=1,2,...,n), m is the number of samples of the operation mode of the light hydrogen storage station;

[0187] Furthermore, the relative closeness is calculated by combining the results of Euclidean distance and grey relational degree.

[0188]

[0189] Among them, δ i Relative closeness, and are the closeness of the samples of the operation mode of the light hydrogen storage station to the positive ideal solution and the negative ideal solution respectively;

[0190] The samples of the operation modes of the light hydrogen storage station are sorted according to the relative closeness. The relative closeness sorting represents the good and bad sorting of the samples of the operation modes of the light hydrogen storage station.

[0191] It should be noted that the relative closeness reflects the degree of proximity between the sample to be evaluated and the positive ideal solution or negative ideal solution in terms of situation change. The samples are sorted according to the relative closeness. The larger the relative closeness, the closer the sample to be evaluated is to the positive ideal sample, and the better the sample is. On the contrary, the smaller the relative closeness, the closer the sample to be evaluated is to the negative ideal sample, and the worse the sample is.

[0192] It should also be noted that this scheme provides a comprehensive, accurate and objective evaluation method. Through a multi-dimensional evaluation system, entropy weight method to determine weights, comprehensive Euclidean distance and grey correlation, etc., it solves the problems of the singleness of traditional evaluation methods, subjectivity of weights and insufficient data integration. This method can guide the operation and capacity configuration of solar hydrogen storage stations, promote the comprehensive utilization and development of renewable energy, and provide important guidance for future energy management and optimization.

[0193] S106: Input the input data into the comprehensive analysis and evaluation model to obtain the comprehensive analysis results, and update the guidance of the operation mode and capacity configuration of the photovoltaic hydrogen storage station according to the comprehensive analysis results, the real-time operation conditions of hydrogen production by electricity, and the market demand policy;

[0194] Preferably, the real-time operating conditions of hydrogen production by electricity include power allocation of the photovoltaic hydrogen storage station and operating condition parameters of hydrogen production by electricity;

[0195] It should be noted that this scheme improves the accuracy of the comprehensive performance evaluation of the photovoltaic hydrogen storage station through a multi-dimensional evaluation system and entropy weight method; based on the comprehensive analysis results, the real-time operating conditions of hydrogen production from electricity and market demand policies, the scheme can dynamically adjust the operating mode and capacity configuration of the photovoltaic hydrogen storage station, optimize operating efficiency and respond to market demand, contribute to the wider and more efficient use of renewable energy, provide decision makers with real-time and accurate decision-making basis, enhance the adaptability and flexibility of the system, and promote technological innovation and application in related fields.

[0196] The above is a schematic scheme of a comprehensive performance analysis and evaluation method for a photohydrogen storage station based on digital-analog fusion in this embodiment. It should be noted that the technical scheme of the comprehensive performance analysis and evaluation system for a photohydrogen storage station based on digital-analog fusion and the technical scheme of the comprehensive performance analysis and evaluation method for a photohydrogen storage station based on digital-analog fusion belong to the same concept. For details not described in detail in the technical scheme of the comprehensive performance analysis and evaluation system for a photohydrogen storage station based on digital-analog fusion in this embodiment, please refer to the description of the technical scheme of the comprehensive performance analysis and evaluation method for a photohydrogen storage station based on digital-analog fusion.

[0197] The comprehensive performance analysis and evaluation system of the photovoltaic hydrogen storage station based on digital-analog fusion in this embodiment includes:

[0198] The input data module is used to determine the input data according to the construction and operation characteristics of the photovoltaic hydrogen storage station. The input data includes a comprehensive analysis and evaluation index set, photovoltaic hydrogen storage station operating parameters and photovoltaic hydrogen storage station operation mode;

[0199] The indicator normalization processing module is used to normalize the values ​​of each evaluation indicator and determine the weight of each evaluation indicator;

[0200] The sorting module is used to calculate the positive and negative ideal solutions of the operation mode samples of the light hydrogen storage station, sort the operation mode samples of the light hydrogen storage station according to the relative closeness, and build a comprehensive analysis and evaluation model;

[0201] The comprehensive analysis output module is used to input the input data into the comprehensive analysis evaluation model to obtain the comprehensive analysis results, and update the guidance of the operation mode and capacity configuration of the photovoltaic hydrogen storage station according to the comprehensive analysis results, the real-time operating conditions of hydrogen production by electricity, and the market demand policy.

[0202] This embodiment also provides a computing device suitable for comprehensive performance analysis and evaluation of a photovoltaic hydrogen storage station based on digital-analog fusion, including:

[0203] Memory and processor; the memory is used to store computer executable instructions, and the processor is used to execute computer executable instructions to implement the comprehensive performance analysis and evaluation method of the optical hydrogen storage station based on digital-analog fusion as proposed in the above embodiment.

[0204] This embodiment also provides a storage medium on which a computer program is stored. When the program is executed by a processor, the method for analyzing and evaluating the comprehensive performance of a photohydrogen storage station based on digital-analog fusion as proposed in the above embodiment is implemented.

[0205] The storage medium proposed in this embodiment and the comprehensive performance analysis and evaluation method for a photohydrogen storage station based on digital-analog fusion proposed in the above embodiment belong to the same inventive concept. For technical details not fully described in this embodiment, please refer to the above embodiment, and this embodiment has the same beneficial effects as the above embodiment.

[0206] Through the above description of the implementation methods, the technicians in the relevant field can clearly understand that the present invention can be implemented by means of software and necessary general hardware, and of course can also be implemented by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as a computer floppy disk, read-only memory (ReadOnly, Memory, ROM), random access memory (RandomAccess Memory, RAM), flash memory (FLASH), hard disk or optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, server, or network device, etc.) to perform the methods of various embodiments of the present invention.

[0207] Example 2

[0208] Reference Figure 4-9 Tables 1-8 are an embodiment of the present invention, which provides a comprehensive performance analysis and evaluation method for a photovoltaic hydrogen storage station based on digital-analog fusion. In order to verify its beneficial effects, comparison results of two schemes are provided.

[0209] This embodiment is a demonstration application at the Delingha Photovoltaic Renewable Energy Base in Qinghai. This project is my country's first attempt to produce green hydrogen at high altitudes.

[0210] First, the three operating modes of the optical hydrogen storage station are explained as follows:

[0211] (1) Green electricity hydrogen production mode: The power consumed by the electric hydrogen production device comes only from photovoltaic power generation. When there is surplus photovoltaic output or an AGC signal is present, electricity is transmitted to the external power grid through the grid connection point. The energy storage device can also absorb the surplus photovoltaic output and discharge to support the operation of the hydrogen production device when the photovoltaic output is insufficient.

[0212] (2) Maximizing hydrogen production mode: To meet large-scale hydrogen demand, photovoltaic power generation is mainly used for hydrogen production in addition to responding to AGC signals. The random volatility of photovoltaic power generation is mainly smoothed by energy storage and the power grid. When the photovoltaic power generation power is greater than the power consumption of the hydrogen production device, the excess photovoltaic power is stored in the battery energy storage or consumed online. When the photovoltaic power generation power is small or zero, the power demand of the hydrogen production device is met by energy storage discharge or power supply from the grid. The power of the hydrogen production device is maintained in a relatively stable operating condition, which can meet large-scale hydrogen demand.

[0213] (3) Economic hydrogen production model: Based on the aforementioned maximizing hydrogen production model, the economic efficiency of the hydrogen production process is considered, the peak-valley electricity price difference is used to choose to purchase / sell electricity, the role of battery energy storage is brought into play, and hydrogen is sold to maximize economic benefits.

[0214] The relevant parameters of the optical hydrogen storage station are shown in Table 1;

[0215] Table 1 Comprehensive evaluation parameters of optical hydrogen storage station

[0216]

[0217] In the green electricity hydrogen production operation mode of this embodiment, the typical daily power distribution and comprehensive electricity-hydrogen energy conversion efficiency of the photovoltaic hydrogen storage station are shown as follows Figure 4 and Figure 5 As shown,

[0218] based on Figure 4 and Figure 5 The typical daily power distribution and comprehensive electricity-hydrogen energy conversion efficiency of the green electricity hydrogen production operation mode of the photovoltaic hydrogen storage station are shown in the table.

[0219] Table 2 Evaluation indicators of photovoltaic hydrogen storage station under green electricity hydrogen production mode

[0220]

[0221]

[0222] In this embodiment, the operation mode of maximizing hydrogen production is shown in the following figure: the typical daily power distribution and comprehensive electricity-hydrogen energy conversion efficiency of the photovoltaic hydrogen storage station are as follows Figure 6 and Figure 7 As shown,

[0223] based on Figure 6 and Figure 7 The typical daily power distribution and comprehensive electricity-hydrogen energy conversion efficiency of the photo-hydrogen storage station maximizing hydrogen production operation mode are shown in Table 3.

[0224] Table 3 Evaluation indicators of solar hydrogen storage station in the mode of maximizing hydrogen production

[0225]

[0226]

[0227] In this embodiment, the economic hydrogen production operation mode, the typical daily power distribution of the photovoltaic hydrogen storage station and the comprehensive electricity-hydrogen energy conversion efficiency are shown as follows Figure 8 and Fig. 9 As shown,

[0228] based on Figure 8 and Fig. 9 The typical daily power distribution and comprehensive electricity-hydrogen energy conversion efficiency of the economic hydrogen production operation mode of the photovoltaic hydrogen storage station are shown in Table 4.

[0229] Table 4 Evaluation indicators of photovoltaic hydrogen storage station under economic hydrogen production mode

[0230]

[0231] Based on Table 1, Table 2 and Table 3, the analysis results of the three operating modes are compared as shown in Table 5.

[0232] Table 5 Comparison of evaluation indicators of photovoltaic hydrogen storage stations under different operation modes

[0233]

[0234]

[0235] Based on the calculation results of power allocation and operating indicators of the comprehensive performance analysis and evaluation method of the solar hydrogen storage station under different operating modes, a comprehensive performance analysis and comparison can be carried out, and the following conclusions can be drawn: the green electricity hydrogen production mode fully meets the form of "green electricity to green hydrogen", uses renewable energy to produce hydrogen, and is less dependent on the external power grid; while the economic hydrogen production mode and the maximum hydrogen production mode can purchase electricity from the external power grid to produce hydrogen, giving full play to its advantages of grid connection, and the corresponding hydrogen production is also higher.

[0236] From the perspective of the economic operation of the collection station, when hydrogen subsidies are not considered, the hydrogen production and hydrogen sales revenue of the economic hydrogen production mode are lower than those of the maximum hydrogen production mode, but the photovoltaic grid-connected income is higher, and the direct economic benefits it generates are the highest among the three operation modes; in addition, the economic hydrogen production mode purchases less electricity than the maximum hydrogen production mode, which to a certain extent reflects that this mode has less dependence on the power grid;

[0237] When the hydrogen subsidy is high, the maximum hydrogen production mode may catch up with or even exceed the economic hydrogen production mode in terms of economic benefits. Due to the limitation of electricity purchase, the green electricity hydrogen production mode is difficult to play the productive load role of the electric hydrogen production device, and its direct economic benefits are lower than the other two operation modes. At the same time, it can be seen that the proposed power allocation strategy actively responds to the AGC command signal and can effectively control the dispatch signal penalty at a low level.

[0238] From the perspective of the environmental benefits of the collection station operation, the photovoltaic absorption rate of the three modes is relatively high; since the green electricity hydrogen production mode avoids the use of external electricity to produce hydrogen, its carbon emissions are much lower than the other two operating modes, and the carbon tax is also extremely low, which is also in line with its operating characteristics with the greatest indirect economic benefits; the maximization of hydrogen production mode requires a higher hydrogen production volume, so more external electricity is used, and its carbon emissions are the highest among the three modes. The indirect economic benefits taking into account environmental benefits are smaller than those of the economic hydrogen production mode; under the condition of fully considering the environmental friendliness of the collection station, the green electricity hydrogen production mode has greater application advantages.

[0239] From the perspective of the operation characteristics of the collection station operation, since the maximum hydrogen production mode and the economic hydrogen production mode have a longer smooth operation time for purchasing electricity to produce hydrogen during the operation period, the overall hydrogen production power smoothness is higher than that of green electricity hydrogen production; and the maximum hydrogen production allows energy storage discharge or electricity purchase to fully use the electric hydrogen production device, making the water electrolysis hydrogen production load relatively stable, and its hydrogen production power smoothness is slightly higher than that of economic hydrogen production;

[0240] In the green electricity hydrogen production mode, there is no target conversion between purchasing electricity for hydrogen production and responding to AGC instructions. The depth of dispatch instruction adjustment is smaller than that of the other two modes. In the maximum hydrogen production mode, the grid power fluctuates greatly, and the depth of dispatch instruction adjustment is higher than that of the economic hydrogen production mode. There are more frequent energy storage actions, and the daily charging and discharging times are also higher. The operating characteristics are slightly inferior to the economic hydrogen production mode.

[0241] In this embodiment, the operation conditions of the maximum hydrogen production mode and the economic hydrogen production mode are similar, and the comprehensive analysis and evaluation indicators are close. This is because in the calculation example, the solar hydrogen storage station needs to respond to the dispatching instructions during the day, and the adjustable range of the grid-connected power is limited. It is impossible to purchase electricity from the grid to produce hydrogen. Therefore, the power of the hydrogen production device does not change much in the two modes;

[0242] At night, there is no AGC instruction, and the collection station can purchase electricity from the power grid to produce hydrogen. The electricity price from 18:00 to 22:00 is 0.6 yuan / kWh, and the electricity price from 22:00 to 22:00 is 0.3 yuan / kWh. The cost of purchasing electricity to produce hydrogen is 33.7079 yuan / kg and 16.8539 yuan / kg respectively (the energy consumption of hydrogen production is about 5kWh / Nm3), which is lower than the price of hydrogen. At this time, in the most economical hydrogen production mode, the electric hydrogen production device operates at the maximum power point to achieve the best economic benefit, which is exactly the same as the operating condition of the maximum hydrogen production mode.

[0243] Furthermore, the entropy weight method is used to calculate and delete redundant indicators in the multi-index evaluation problem. In the present invention, the normalized entropy value greater than 0.99 is regarded as a redundant indicator. Based on the comprehensive analysis and evaluation model of grey correlation and entropy weight TOPSIS proposed in the present invention, a comprehensive analysis and evaluation is carried out in combination with the operating condition parameters of the light hydrogen storage station. The weights of each indicator after screening are shown in Table 6.

[0244] In the table, the weights of hydrogen sales revenue and government hydrogen subsidies, and carbon emissions and carbon taxes are equal. The reason is that in this example, the unit hydrogen subsidy and carbon tax are considered to be constant values, and the hydrogen sales revenue is proportional to the government hydrogen subsidies, and carbon emissions are proportional to the carbon tax. If the relevant policies are improved, the weights of the above indicators will change, but it will not affect the selection of the station operation mode and the analysis and evaluation.

[0245] Table 6 Evaluation index weights of optical hydrogen storage stations

[0246]

[0247] Table 7 The closeness of the samples to the positive ideal solution and the negative ideal solution

[0248] How it works Positive ideal solution closeness Negative ideal solution closeness Relative closeness Green electricity hydrogen production 1 0.134794 0.881217 Maximizing hydrogen production 0.134794 1 0.118783 Economical hydrogen production 0.134630 0.999003 0.118760

[0249] Table 8 Evaluation results

[0250] How it works Green electricity hydrogen production Maximizing hydrogen production Economical hydrogen production Recommended order 1 2 3

[0251] In Table 7, through the closeness of the positive ideal solution and the negative ideal solution, we can see that "green electricity hydrogen production" performs best in terms of closeness to the positive ideal solution, but performs relatively poorly in terms of closeness to the negative ideal solution; while "maximum hydrogen production" and "economic hydrogen production" perform better in terms of closeness to the negative ideal solution; from the perspective of relative closeness, "green electricity hydrogen production" has the highest relative closeness, indicating that it is the closest to the positive ideal solution;

[0252] In the evaluation results of Table 8, according to the recommended order, “green electricity hydrogen production” is considered the best option, followed by “maximizing hydrogen production” and finally “economic hydrogen production”, which further verifies the results in Table 7.

[0253] The above results show that green electricity hydrogen production has certain advantages in this example scenario due to its low carbon emissions, low carbon tax, low scheduling instruction adjustment depth, and low daily charging and discharging times. However, for this example only, different operation modes have different characteristics and there are certain differences in operation performance. When facing different scenarios and goals, the station should appropriately select the operation mode and formulate corresponding operation strategies to give full play to the advantages of different operation modes and improve the operation performance;

[0254] Moreover, the introduction of policies also has a great impact on the selection of station operation modes. The direct benefits of green electricity hydrogen production are low, but considering the impact of policies such as carbon tax, its carbon emissions are low; the maximum hydrogen production mode has a high operating cost when hydrogen subsidies are not considered, and the economic benefits are not ideal, but the overall benefits increase significantly when hydrogen subsidy policies are taken into account. Therefore, the operation mode and capacity ratio of the solar hydrogen storage station can be adjusted in time according to local government policies.

[0255] This example proves that this method is an effective benefit evaluation method. It can not only make an overall evaluation of the alternative plans, but also reflect the difference between the changing trends of various factors within the alternative plans and the ideal plans. It has a certain guiding role in the optimized operation of the integrated renewable energy station. It also further verifies the rationality, practicality and effectiveness of the model and method proposed in the present invention.

[0256] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A comprehensive performance analysis and evaluation method for a photovoltaic hydrogen storage station based on digital-analog fusion, characterized in that: include: Determine input data according to the construction and operation characteristics of the photovoltaic hydrogen storage station, wherein the input data includes a comprehensive analysis and evaluation index set, photovoltaic hydrogen storage station operating parameters, and photovoltaic hydrogen storage station operation mode; Normalize the values ​​of each evaluation index and determine the weight of each evaluation index, calculate the positive and negative ideal solutions of the operation mode samples of the light hydrogen storage station, and sort the operation mode samples of the light hydrogen storage station according to the relative closeness, and build a comprehensive analysis and evaluation model; The input data is input into a comprehensive analysis and evaluation model to obtain a comprehensive analysis result, and the operation mode and capacity configuration of the optical hydrogen storage station are guided based on the comprehensive analysis result, the real-time operation conditions of hydrogen production by electricity, and the market demand policy update.

2. The comprehensive performance analysis and evaluation method of the optical hydrogen storage station based on digital-analog fusion according to claim 1 is characterized in that: The input data includes a comprehensive analysis and evaluation index set, operating parameters of the photovoltaic hydrogen storage station, and an operation mode of the photovoltaic hydrogen storage station, including: The comprehensive analysis and evaluation indicator set includes the target layer, the analysis and evaluation indicator layer and the primary technical indicator layer, among which the analysis and evaluation indicator layer is the first-level evaluation indicator and the primary technical indicator layer is the second-level evaluation indicator; The operating modes of the solar hydrogen storage station are divided into green electricity hydrogen production, the most economical mode hydrogen production and hydrogen production with maximum hydrogen production.

3. The comprehensive performance analysis and evaluation method of the optical hydrogen storage station based on digital-analog fusion according to claim 1 or 2 is characterized in that: The analysis and evaluation index layer is the first-level evaluation index, and the primary technical index layer is the second-level evaluation index. include, The first-level evaluation indicators include hydrogen production efficiency, economic benefits, environmental benefits and operation characteristics; Based on the working principle of the photovoltaic hydrogen storage station, the hydrogen production efficiency includes hydrogen production and unit energy consumption; By analyzing the operation mode of the collection station, the economic benefits include grid-side benefits, hydrogen production benefits and dispatch signal penalties. The grid-side benefits include photovoltaic grid-connected income and grid power purchase costs. The hydrogen production side benefits include hydrogen produced by electricity sales and hydrogen production equipment and subsidies stipulated by the government's hydrogen energy policy. Based on the working principle of the photovoltaic hydrogen storage station and the characteristics of renewable energy utilization, the environmental benefits include renewable energy consumption rate and carbon emissions; Based on the operating characteristics of the electric hydrogen production device of the photohydrogen storage collection station, the response of the collection station to scheduling instructions and the operating characteristics of the energy storage battery, the operating characteristics include the smoothness of hydrogen production power, the response to scheduling instructions and the number of energy storage charge and discharge times.

4. The comprehensive performance analysis and evaluation method of the optical hydrogen storage station based on digital-analog fusion as claimed in claim 3 is characterized in that: Normalize the values ​​of each evaluation indicator and determine the weight of each evaluation indicator, including, Suppose that m samples of operation modes of photovoltaic hydrogen storage stations are evaluated, the index set contains n evaluation indicators, and the index matrix R = (r ij ) m×n It is expressed as: Among them, m is the number of samples of the operation mode of the light hydrogen storage station, n is the number of evaluation indicators, r ij is the index value corresponding to the sample of the operation mode of the optical hydrogen storage station, (i=1,2,…,m; j=1,2,…,n); Normalizing the indicator matrix to obtain a dimensionless indicator matrix; The entropy weight method is used to determine the weight of each evaluation index and obtain the weighted standardized matrix.

5. The comprehensive performance analysis and evaluation method of the optical hydrogen storage station based on digital-analog fusion according to claim 4 is characterized in that: Calculate the positive and negative ideal solutions of the sample operation modes of the photovoltaic hydrogen storage station. include, Determine the maximum and minimum values ​​of each evaluation index respectively, and use the maximum value of the positive index and the minimum value of the negative index to form a positive ideal solution, and use the minimum value of the positive index and the maximum value of the negative index to form a negative ideal solution; The Euclidean distance and grey correlation degree of the operation mode samples of the optical hydrogen storage station to the positive ideal solution and the negative ideal solution are calculated.

6. The comprehensive performance analysis and evaluation method of the optical hydrogen storage station based on digital-analog fusion according to claim 5 is characterized in that: The samples of the operation modes of the light hydrogen storage station are sorted according to their relative closeness, including: The Euclidean distance and grey correlation degree of the light hydrogen storage station operation mode sample to the positive ideal solution and the negative ideal solution are dimensionless, and the dimensionless Euclidean distance and grey correlation degree are expressed as follows: Among them, e1 and e2 are the decision maker’s preferences for location and shape, T i + and T i - They are the closeness of the operation mode samples of the photohydrogen storage station to the positive ideal solution and the negative ideal solution respectively.

7. The comprehensive performance analysis and evaluation method of the optical hydrogen storage station based on digital-analog fusion according to claim 4 or 6 is characterized in that: Also includes, The relative closeness is calculated by combining the results of Euclidean distance and grey relational degree. Among them, δ i Represents relative closeness, T i + and T i - are the closeness of the samples of the operation mode of the light hydrogen storage station to the positive ideal solution and the negative ideal solution respectively; The samples of the operation modes of the optical hydrogen storage station are sorted according to the relative closeness, and the relative closeness sorting represents the good and bad sorting of the samples of the operation modes of the optical hydrogen storage station.

8. A system for comprehensive performance analysis and evaluation of a photovoltaic hydrogen storage station based on digital-analog fusion, characterized in that: include, An input data module is used to determine input data according to the construction and operation characteristics of the optical hydrogen storage station, wherein the input data includes a comprehensive analysis and evaluation index set, operating parameters of the optical hydrogen storage station, and an operation mode of the optical hydrogen storage station; The indicator normalization processing module is used to normalize the values ​​of each evaluation indicator and determine the weight of each evaluation indicator; The sorting module is used to calculate the positive and negative ideal solutions of the operation mode samples of the light hydrogen storage station, sort the operation mode samples of the light hydrogen storage station according to the relative closeness, and build a comprehensive analysis and evaluation model; The comprehensive analysis output module is used to input the input data into the comprehensive analysis evaluation model to obtain the comprehensive analysis results, and update the guidance of the operation mode and capacity configuration of the optical hydrogen storage station according to the comprehensive analysis results, the real-time operation conditions of hydrogen production by electricity, and the market demand policy.

9. An electronic device, comprising: Memory and processor; The memory is used to store computer executable instructions, and the processor is used to execute the computer executable instructions. When the computer executable instructions are executed by the processor, the steps of the comprehensive performance analysis and evaluation method of the optical hydrogen storage station based on digital-analog fusion as described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, implement the steps of the method for comprehensive performance analysis and evaluation of a photovoltaic hydrogen storage station based on digital-analog fusion as described in any one of claims 1 to 7.

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