Photovoltaic power supply type selection method matched with electrolytic tank for producing hydrogen by electrolyzing water
By calculating the matching evaluation index between photovoltaic power supply and electrolytic cell and using the entropy value method to select the optimal photovoltaic power supply solution, the impact of power fluctuations in the photovoltaic power generation system on the electrolytic cell is solved, and the stable operation and efficient hydrogen production of the photovoltaic electrolytic water hydrogen production system are achieved.
Patent Information
- Application Number
- CN202411926541.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-25
- Publication Date
- 2025-04-18
AI Technical Summary
The output power fluctuations and uncertainties of photovoltaic power generation systems lead to allergies in the power input of the electrolytic cell, which may lead to a decrease in hydrogen production or system overload, affecting hydrogen production efficiency and system stability.
Through a photovoltaic power supply selection method matching electrolytic water-based hydrogen electrolytic cell, three evaluation indicators are calculated: the average distance between the maximum power point of the photovoltaic power supply and the rated operating point of the electrolytic cell, the proportion of the annual output curve data falling into the stable operating power range of the electrolytic cell, and the average volatility value of the annual output curve, the entropy method is used to calculate the weight, and the photovoltaic power supply scheme with the smallest distance is selected as the most preferred type.
The matching between the photovoltaic power supply and the electrolytic cell is achieved, the stable operation and hydrogen production efficiency of the photovoltaic electrolytic water hydrogen production system is ensured, and the impact of photovoltaic power fluctuations on the electrolytic cell is reduced.
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Abstract
Description
Technical Field
[0001] The invention relates to the technical field of photovoltaic water electrolysis hydrogen production, and in particular to a photovoltaic power source selection method matching a water electrolysis hydrogen production electrolyzer. Background Art
[0002] With the advancement of the global energy structure transformation, the development and utilization of renewable energy has received more and more attention. Hydrogen energy, as a clean energy, has great application potential, especially in the fields of transportation, industrial production, etc. As an important method of hydrogen production, water electrolysis has significant environmental advantages. Traditional water electrolysis hydrogen production mostly relies on conventional power grids to provide electricity, and power grid electricity often relies on fossil energy, which limits its application potential in sustainable development. With the proposal of the dual carbon goals of "carbon peak" and "carbon neutrality", more and more researchers have begun to explore solutions to combine renewable energy, especially photovoltaic power sources, with water electrolysis hydrogen production. Photovoltaic power generation, as a clean and renewable energy source, can provide a pollution-free source of electricity for water electrolysis hydrogen production, further promoting the production of green hydrogen.
[0003] However, the output power of photovoltaic power generation systems has significant volatility and uncertainty, especially when the sunlight is unstable or blocked by clouds, the power of photovoltaic power generation will fluctuate greatly. The electrolyzer is sensitive to power input. When the photovoltaic power generation power is too low, the electrolyzer may not be able to provide enough electricity for water electrolysis, resulting in a decrease in hydrogen production; when the photovoltaic power generation power is too high, the electrolyzer may be overloaded, resulting in reduced energy efficiency or system damage. Therefore, the matching between the photovoltaic power characteristics and the electrolyzer load characteristics is particularly important, which is related to the stable operation and hydrogen production efficiency of the photovoltaic water electrolysis hydrogen production system. Summary of the invention
[0004] The purpose of the present invention is to provide a method for selecting a photovoltaic power source that matches an electrolytic cell for producing hydrogen by electrolysis of water, so as to solve the above defects.
[0005] In order to achieve the above object, the present invention provides the following technical solutions:
[0006] A method for selecting a photovoltaic power source matching an electrolytic cell for producing hydrogen by electrolysis of water comprises the following steps:
[0007] S1. Input original data, including: various data of water electrolysis hydrogen production electrolyzer and N photovoltaic power sources;
[0008] S2. Calculate the first evaluation index value: the average distance between the maximum power point of the photovoltaic power source and the rated operating point of the electrolyzer;
[0009] S3, calculating the second evaluation index value: the proportion of the annual output curve data of the photovoltaic power source falling within the stable operating power range of the electrolyzer;
[0010] S4, calculating the third index value: the average value of the fluctuation rate of the annual output curve of the photovoltaic power source;
[0011] S5. Use the entropy method to calculate the weights of the three evaluation indicators obtained in steps S2, S3, and S4, respectively, which are ω D ,ω r ,ω σ ;
[0012] S6. performing standardized calculation on three evaluation index values of N photovoltaic power sources;
[0013] S7. Set the ideal values of the three evaluation indicators, which are r * ,
[0014] S8. Calculate the distance G between the evaluation index value of each photovoltaic power source and the ideal value i (i=1,2,…,N);
[0015] S9, from G i The photovoltaic power supply scheme corresponding to the minimum value is selected from (i=1,2,…,N) as the optimal scheme matching the water electrolysis hydrogen production electrolyzer.
[0016] Preferably, in step S1, various data of the electrolytic water hydrogen production cell include the rated voltage of the electrolytic water hydrogen production cell Rated current Rated Power And the percentage of the stable operating power range of the electrolyzer; relative to the rated power The percentage of the stable operating power range of the electrolyzer, including the lower limit percentage of the rated power r down % and the upper limit percentage of rated power r up %.
[0017] Preferably, in step S1, various data of N photovoltaic power sources include:
[0018] The i-th photovoltaic power source is at the standard irradiance S ref and standard temperature T ref Open circuit voltage under and short circuit current
[0019] The average solar irradiance S at each time period of the day at the location of the i-th photovoltaic power source i,t (i=1,2,…,N; t=1,2,…,24);
[0020] The average temperature T of each time period of the day at the location of the i-th photovoltaic power source i,t(i=1,2,…,N; t=1,2,…,24);
[0021] The temperature coefficient of the open-circuit voltage of the i-th photovoltaic power source β i (i=1,2,…,N);
[0022] Annual output curve data of the i-th photovoltaic power source K represents the number of data points on the annual output curve.
[0023] Preferably, the step S2 is specifically as follows:
[0024] S21. Calculate the maximum power point of each photovoltaic power source in each time period according to formula (1)
[0025]
[0026] In formula (1), They represent the voltage and current corresponding to the maximum power point of the i-th photovoltaic power source in time period t respectively;
[0027] S22. Calculate the average distance between the maximum power point of each photovoltaic power source and the rated operating point of the electrolyzer according to formula (2):
[0028]
[0029] Preferably, the step S3 is specifically as follows:
[0030] S31. Calculate the stable operating power range of the electrolytic cell according to formula (3) [] indicates a closed interval:
[0031]
[0032] In formula (3), and are the lower and upper limits of the stable operating power range of the electrolyzer, respectively;
[0033] S32. Constructing the indication function Determine photovoltaic power data Is it in As shown in formula (4):
[0034]
[0035] S33. Calculate the annual output curve data of each photovoltaic power source according to formula (5) The proportion of the electrolytic cell falling within the stable operating power range r i(i=1,2,…,N):
[0036]
[0037] Preferably, the step S4 is specifically as follows:
[0038] S41. Calculate the average power of each photovoltaic power source annual output curve according to formula (6)
[0039]
[0040] S42. Calculate the average fluctuation rate of each photovoltaic power source annual output curve according to formula (7)
[0041]
[0042] Preferably, in step S5, ω D ,ω r and ω σ The details are as follows:
[0043] ω D represents the weight of the first evaluation index, which is the average distance between the maximum power point of the photovoltaic power source and the rated operating point of the electrolyzer; ω r Represents the weight of the second evaluation index, which is the proportion of the annual output curve data of the photovoltaic power source falling into the stable operating power range of the electrolyzer; ω σ It represents the weight of the third evaluation index, which is the average volatility of the annual output curve of the photovoltaic power source.
[0044] Preferably, in step S6, the formula for the standardized calculation is as shown in formula (8):
[0045]
[0046] In formula (8), r i ′ and They are r i and The normalized value.
[0047] Preferably, in step S8, the distance G between the evaluation index value of each photovoltaic power source and the ideal value i The calculation formula of (i=1,2,…,N) is shown in formula (9):
[0048]
[0049] The beneficial effects of the present invention are:
[0050] (1) The present invention provides a method for selecting a photovoltaic power source that matches an electrolytic cell for producing hydrogen by electrolysis of water. To ensure the stable operation of the photovoltaic water electrolysis hydrogen production system, three selection principles for the photovoltaic power source are formulated: the photovoltaic maximum power point is as close as possible to the rated operating point of the electrolytic cell, the photovoltaic power generation power falls as much as possible within the stable operating power range of the electrolytic cell, and the photovoltaic power generation power fluctuation is as small as possible.
[0051] (2) The present invention provides a method for selecting a photovoltaic power source that matches an electrolytic cell for producing hydrogen by electrolysis of water, and designs three evaluation indicators: the average distance between the maximum power point of the photovoltaic power source and the rated operating point of the electrolytic cell, the proportion of the annual output curve data of the photovoltaic power source that falls within the stable operating power range of the electrolytic cell, and the average volatility of the annual output curve of the photovoltaic power source. These indicators quantitatively characterize the degree of matching between the photovoltaic power source and the electrolytic cell from different aspects.
[0052] (3) The present invention provides a photovoltaic power source selection method that matches an electrolytic cell for producing hydrogen by electrolysis of water. The method adopts an entropy method to calculate the weight of each evaluation index, calculates the evaluation index value of the photovoltaic power source scheme matching the electrolytic cell, obtains the distance between the evaluation index value and the ideal value of the evaluation index, and selects the photovoltaic power source scheme with the smallest distance as the optimal model. The decision-making method uses objective data for calculation, is simple and easy, and does not rely on the subjective will of the decision maker. BRIEF DESCRIPTION OF THE DRAWINGS
[0053] Figure 1 Flow chart of the method of the present invention. DETAILED DESCRIPTION
[0054] The present invention is further described below in conjunction with the embodiments. It should be noted that these are merely examples and illustrations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the described specific embodiments or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the claims, they should be deemed to fall within the protection scope of the present invention.
[0055] Embodiment 1:
[0056] Figure 1 Flow chart of the method of the present invention. Figure 1 As shown, a method for selecting a photovoltaic power source matching an electrolytic cell for producing hydrogen by electrolysis of water comprises the following steps:
[0057] S1. Input original data, including: various data of water electrolysis hydrogen production electrolyzer and N photovoltaic power sources;
[0058] S2. Calculate the first evaluation index value: the average distance between the maximum power point of the photovoltaic power source and the rated operating point of the electrolyzer;
[0059] S3, calculating the second evaluation index value: the proportion of the annual output curve data of the photovoltaic power source falling within the stable operating power range of the electrolyzer;
[0060] S4, calculating the third index value: the average value of the fluctuation rate of the annual output curve of the photovoltaic power source;
[0061] S5. Use the entropy method to calculate the weights of the three evaluation indicators obtained in steps S2, S3, and S4, respectively, which are ω D ,ω r ,ω σ ;
[0062] S6. performing standardized calculation on three evaluation index values of N photovoltaic power sources;
[0063] S7. Set the ideal values of the three evaluation indicators, which are r * ,
[0064] S8. Calculate the distance G between the evaluation index value of each photovoltaic power source and the ideal value i (i=1,2,…,N);
[0065] S9, from G i The photovoltaic power supply scheme corresponding to the minimum value is selected from (i=1,2,…,N) as the optimal scheme matching the water electrolysis hydrogen production electrolyzer.
[0066] Embodiment 2:
[0067] Figure 1 Flow chart of the method of the present invention. Figure 1 As shown, a method for selecting a photovoltaic power source matching an electrolytic cell for producing hydrogen by electrolysis of water comprises the following steps:
[0068] S1. Input original data, including: various data of water electrolysis hydrogen production electrolyzer and N photovoltaic power sources.
[0069] Among them, the various data of the water electrolysis hydrogen production electrolyzer, including the rated voltage of the water electrolysis hydrogen production electrolyzer Rated current Rated Power And the percentage of the stable operating power range of the electrolyzer; relative to the rated power The percentage of the stable operating power range of the electrolyzer, including the lower limit percentage of the rated power r down % and the upper limit percentage of rated power r up %.
[0070] Among them, the data of N photovoltaic power sources include:
[0071] The i-th photovoltaic power source is at the standard irradiance S ref and standard temperature T ref Open circuit voltage under and short circuit current
[0072] The average solar irradiance S at each time period of the day at the location of the i-th photovoltaic power source i,t (i=1,2,…,N; t=1,2,…,24);
[0073] The average temperature T of each time period of the day at the location of the i-th photovoltaic power source i,t (i=1,2,…,N; t=1,2,…,24);
[0074] The temperature coefficient of the open-circuit voltage of the i-th photovoltaic power source β i (i=1,2,…,N);
[0075] Annual output curve data of the i-th photovoltaic power source K represents the number of data points on the annual output curve.
[0076] S2. Calculate the first evaluation index value: the average distance between the maximum power point of the photovoltaic power source and the rated operating point of the electrolyzer. The specific steps are as follows:
[0077] S21. Calculate the maximum power point of each photovoltaic power source in each time period according to formula (1)
[0078]
[0079] In formula (1), They represent the voltage and current corresponding to the maximum power point of the i-th photovoltaic power source in time period t respectively;
[0080] The open circuit voltage is significantly affected by temperature, but the effect of irradiance can be ignored; while the short circuit current is mainly affected by irradiance, but the effect of temperature can be ignored. Therefore, in formula (1), the open circuit voltage is corrected according to the actual temperature, and the short circuit current is corrected according to the actual irradiance.
[0081] S22. Calculate the average distance between the maximum power point of each photovoltaic power source and the rated operating point of the electrolyzer according to formula (2):
[0082]
[0083] The first evaluation index is a non-negative value. The closer it is to 0, the closer the maximum power of the photovoltaic power source is to the rated power of the electrolyzer, and the more the photovoltaic power source and the electrolyzer load are matched in power.
[0084] S3. Calculate the second evaluation index value: the proportion of the annual output curve data of the photovoltaic power source falling within the stable operating power range of the electrolyzer, as follows:
[0085] S31. Calculate the stable operating power range of the electrolytic cell according to formula (3) [] indicates a closed interval:
[0086]
[0087] In formula (3), and are the lower and upper limits of the stable operating power range of the electrolyzer, respectively. The second evaluation index is the value in the interval [0,1]. The closer it is to 1, the more concentrated the output of the photovoltaic power source is within the stable operating power range of the electrolyzer, which is more conducive to the safe and stable operation of the electrolyzer.
[0088] S32. Constructing the indication function Determine photovoltaic power data Is it in As shown in formula (4):
[0089]
[0090] S33. Calculate the annual output curve data of each photovoltaic power source according to formula (5) The proportion of the electrolytic cell falling within the stable operating power range r i (i=1,2,…,N):
[0091]
[0092] S4. Calculate the third index value: the average value of the volatility of the annual output curve of the photovoltaic power source, as follows:
[0093] S41. Calculate the average power of each photovoltaic power source annual output curve according to formula (6)
[0094]
[0095] S42. Calculate the average fluctuation rate of each photovoltaic power source annual output curve according to formula (7)
[0096]
[0097] The third evaluation index is a non-negative value. The closer it is to 0, the smaller the fluctuation of the annual output curve of the photovoltaic power source, which is more conducive to the stable hydrogen production and life extension of the electrolyzer.
[0098] S5. Use the entropy method to calculate the weights of the three evaluation indicators obtained in steps S2, S3, and S4, respectively, which are ω D ,ω r ,ω σ , as follows:
[0099] ω D represents the weight of the first evaluation index (the average distance between the maximum power point of the photovoltaic power source and the rated operating point of the electrolyzer), ω r represents the weight of the second evaluation index (the proportion of the annual output curve data of the photovoltaic power source falling into the stable operating power range of the electrolyzer), ω σ It represents the weight of the third evaluation index (the average volatility of the annual output curve of the photovoltaic power source).
[0100] The entropy method measures the amount of information by calculating the entropy value of each evaluation index. The evaluation index with large information content corresponds to a higher weight, and the evaluation index with small information content corresponds to a lower weight. It does not require the subjective judgment of the decision maker, avoids the bias of subjective judgment, and has a high degree of objectivity and applicability.
[0101] S6. Perform standardized calculation on the three evaluation index values of N photovoltaic power sources.
[0102] The formula for standardization calculation is shown in formula (8):
[0103]
[0104] In formula (8), r i ′ and They are r i and The normalized value.
[0105] The main purpose of standardization is to transform evaluation indicators of different dimensions and magnitudes into a unified scale so that they can be compared fairly, eliminating the unfair effects caused by different dimensions and numerical sizes, and thus improving the objectivity and accuracy of the evaluation results.
[0106] S7. Set the ideal values of the three evaluation indicators, which are r * ,
[0107] is the ideal value of the first evaluation index (the average distance between the maximum power point of the photovoltaic power source and the rated operating point of the electrolyzer), r *is the ideal value of the second evaluation index (the proportion of the annual output curve data of the photovoltaic power source falling within the stable operating power range of the electrolyzer), is the ideal value of the third evaluation index (the average value of the fluctuation rate of the annual output curve of the photovoltaic power source);
[0108] The ideal value of the first evaluation indicator is 0, the ideal value of the second evaluation indicator is 1, and the ideal value of the third evaluation indicator is The ideal value of is 0, that is r * and The values are 0, 1 and 0 respectively, and the reasons have been explained in steps S2, S3 and S4.
[0109] S8. Calculate the distance G between the evaluation index value of each photovoltaic power source and the ideal value i (i=1,2,…,N), as shown in formula (9):
[0110]
[0111] S9, from G i The photovoltaic power supply scheme corresponding to the minimum value is selected from (i=1,2,…,N) as the optimal scheme matching the water electrolysis hydrogen production electrolyzer.
[0112] Through the examples, it can be seen that the present invention provides a photovoltaic power source selection method matching the electrolytic cell for hydrogen production by water electrolysis, which solves the selection problem of the fluctuating photovoltaic power source in the photovoltaic water electrolysis hydrogen production system. According to the selection principle of the photovoltaic power source, the evaluation index is designed and its ideal value is determined, the entropy method is used to objectively calculate the weight of the evaluation index, and the optimal photovoltaic selection is determined according to the distance between the evaluation index value of each photovoltaic power source scheme and the ideal value.
[0113] Firstly, according to the original data of the electrolyser and each photovoltaic power source, three evaluation indicators are calculated: the average distance between the maximum power point of the photovoltaic power source and the rated operating point of the electrolyser, the proportion of the annual output curve of the photovoltaic power source falling into the stable operating range of the electrolyser, and the average volatility of the annual output curve of the photovoltaic power source; then, the entropy method is used to calculate the weight of each evaluation indicator, and the evaluation indicator of each photovoltaic power source is standardized; finally, the ideal value of the evaluation indicator is set, and the distance between the evaluation indicator value and the ideal value of each photovoltaic power source is calculated, and the photovoltaic power source scheme corresponding to the minimum distance is selected as the optimal scheme matching the water electrolysis hydrogen production electrolyser.
[0114] The present invention discloses a method for selecting a photovoltaic power source matching an electrolytic cell for producing hydrogen by electrolysis of water. To ensure the stable operation of the photovoltaic hydrogen production system by electrolysis of water, three selection principles for the photovoltaic power source are formulated: the photovoltaic maximum power point is as close as possible to the rated operating point of the electrolytic cell, the photovoltaic power generation power falls as much as possible within the stable operating power range of the electrolytic cell, and the photovoltaic power generation power fluctuation is as small as possible.
[0115] The present invention discloses a method for selecting a photovoltaic power source that matches an electrolytic cell for producing hydrogen by electrolyzing water. Three evaluation indicators are designed: the average distance between the maximum power point of the photovoltaic power source and the rated operating point of the electrolytic cell, the proportion of the annual output curve data of the photovoltaic power source that falls within the stable operating power range of the electrolytic cell, and the average value of the volatility of the annual output curve of the photovoltaic power source. These indicators quantitatively characterize the matching degree between the photovoltaic power source and the electrolytic cell from different aspects.
[0116] The invention discloses a photovoltaic power source selection method matching an electrolytic cell for producing hydrogen by electrolysis of water. The method adopts an entropy method to calculate the weight of each evaluation index, calculates the evaluation index value of the photovoltaic power source scheme matching the electrolytic cell, obtains the distance between the evaluation index value and the ideal value of the evaluation index, and selects the photovoltaic power source scheme with the smallest distance as the most preferred model. The decision-making method uses objective data for calculation, is simple and easy to implement, and does not rely on the subjective will of the decision maker.
[0117] The above is an exemplary description of the invention. Obviously, the specific implementation of the present invention is not limited to the above-mentioned method. As long as such non-substantial improvements are made by adopting the method concept and technical solution of the present invention, or the concept and technical solution of the invention are directly applied to other occasions without improvement, they are all within the protection scope of the present invention.
Claims
1. A method for selecting a photovoltaic power source matching an electrolytic cell for producing hydrogen by electrolysis of water, characterized in that: The following steps are involved: S1. Input original data, including: various data of water electrolysis hydrogen production electrolyzer and N photovoltaic power sources; S2. Calculate the first evaluation index value: the average distance between the maximum power point of the photovoltaic power source and the rated operating point of the electrolyzer; S3, calculating the second evaluation index value: the proportion of the annual output curve data of the photovoltaic power source falling within the stable operating power range of the electrolyzer; S4, calculating the third index value: the average value of the fluctuation rate of the annual output curve of the photovoltaic power source; S5. Use the entropy method to calculate the weights of the three evaluation indicators obtained in steps S2, S3, and S4, respectively, which are ω D ,ω r ,ω σ ; S6. performing standardized calculation on three evaluation index values of N photovoltaic power sources; S7. Set the ideal values of the three evaluation indicators, which are r * , S8. Calculate the distance G between the evaluation index value of each photovoltaic power source and the ideal value i (i=1,2,…,N); S9, from G i The photovoltaic power supply scheme corresponding to the minimum value is selected from (i=1,2,…,N) as the optimal scheme matching the water electrolysis hydrogen production electrolyzer.
2. A method for selecting a photovoltaic power source matching a water electrolysis hydrogen production electrolyzer according to claim 1, characterized in that: In step S1, various data of the water electrolysis hydrogen production electrolyzer, including the rated voltage of the water electrolysis hydrogen production electrolyzer Rated current Rated Power And the percentage of the stable operating power range of the electrolyzer; relative to the rated power The percentage of the stable operating power range of the electrolyzer, including the lower limit percentage of the rated power r down % and the upper limit percentage of rated power r up %.
3. A method for selecting a photovoltaic power source matching a water electrolysis hydrogen production electrolyzer according to claim 2, characterized in that: In step S1, various data of N photovoltaic power sources include: The i-th photovoltaic power source is at the standard irradiance S ref and standard temperature T ref Open circuit voltage under and short circuit current The average solar irradiance S at each time period of the day at the location of the i-th photovoltaic power source i,t (i=1, 2,...,N; t=1, 2,..., 24); The average temperature T of each time period of the day at the location of the i-th photovoltaic power source i,t (i=1, 2,...,N; t=1, 2,..., 24); The temperature coefficient of the open-circuit voltage of the i-th photovoltaic power source β i (i=1, 2, ..., N); Annual output curve data of the i-th photovoltaic power source K represents the number of data points on the annual output curve.
4. A method for selecting a photovoltaic power source matching a water electrolysis hydrogen production electrolyzer according to claim 3, characterized in that: The S2 step is specifically as follows: S21. Calculate the maximum power point of each photovoltaic power source in each time period according to formula (1) (i=1, 2,...,N; t=1, 2,..., 24): In formula (1), They represent the voltage and current corresponding to the maximum power point of the i-th photovoltaic power source in time period t respectively; S22. Calculate the average distance between the maximum power point of each photovoltaic power source and the rated operating point of the electrolyzer according to formula (2):
5. A method for selecting a photovoltaic power source matching a water electrolysis hydrogen production electrolyzer according to claim 4, characterized in that: The S3 step is specifically as follows: S31. Calculate the stable operating power range of the electrolytic cell according to formula (3) [] indicates a closed interval: In formula (3), and are the lower and upper limits of the stable operating power range of the electrolyzer, respectively; S32. Constructing the indication function Determine photovoltaic power data Is it in As shown in formula (4): S33. Calculate the annual output curve data of each photovoltaic power source according to formula (5) The proportion of the electrolytic cell falling within the stable operating power range r i (i=1, 2, ..., N):
6. A method for selecting a photovoltaic power source matching a water electrolysis hydrogen production electrolyzer according to claim 5, characterized in that: The S4 step is specifically as follows: S41. Calculate the average power of each photovoltaic power source annual output curve according to formula (6) S42. Calculate the average fluctuation rate of each photovoltaic power source annual output curve according to formula (7) 7. A method for selecting a photovoltaic power source matching a water electrolysis hydrogen production electrolyzer according to claim 6, characterized in that: In step S5, ω D ,ω r and ω σ The details are as follows: ω D represents the weight of the first evaluation index, which is the average distance between the maximum power point of the photovoltaic power source and the rated operating point of the electrolyzer; ω r Represents the weight of the second evaluation index, which is the proportion of the annual output curve data of the photovoltaic power source falling into the stable operating power range of the electrolyzer; ω σ It represents the weight of the third evaluation index, which is the average volatility of the annual output curve of the photovoltaic power source.
8. A method for selecting a photovoltaic power source matching a water electrolysis hydrogen production electrolyzer according to claim 7, characterized in that: In step S6, the formula for normalization calculation is shown in formula (8): In formula (8), r i ′ and They are r i and The normalized value.
9. A method for selecting a photovoltaic power source matching a water electrolysis hydrogen production electrolyzer according to claim 8, characterized in that: In step S8, the distance G between the evaluation index value of each photovoltaic power source and the ideal value i The calculation formula of (i=1,2,…,N) is shown in formula (9):