A method, device and equipment for determining electrolytic cell arrangement scheme

Abstract

The present invention provides a method, device and equipment for determining an electrolyzer scheduling scheme, and relates to the field of wind and solar technology. The determination method includes: obtaining a data set of predicted output data of a wind and solar hydrogen production simulation system every hour within a preset time period and the real-time startup status of the current electrolyzer; determining the maximum number of electrolyzers in operation within a preset time period according to the maximum predicted output data in the data set and the minimum operating load of a single electrolyzer; determining the number of electrolyzer startups corresponding to each hour within the preset time period according to the data set, the maximum number of electrolyzers in operation and the real-time startup status of the current electrolyzer; determining the electrolyzer scheduling scheme under the current maximum number of operations within the preset time period according to the number of electrolyzer startups corresponding to each hour within the preset time period. The scheme of the present invention realizes the accurate determination of the electrolyzer scheduling scheme and the rational use of wind and solar resources during the wind and solar hydrogen production simulation, while improving production efficiency.

Description

Technical Field

[0001] The present invention relates to the field of wind and solar technology, and in particular to a method, device and equipment for determining an electrolytic cell arrangement scheme. Background Art

[0002] As a zero-carbon energy, hydrogen energy has the advantages of being clean, sustainable, and easy to store on a large scale. It is a feasible technical route to promote global energy transformation. Using renewable energy to produce hydrogen, using hydrogen storage materials to store hydrogen, and using hydrogen fuel cells to generate electricity will constitute a "net zero emission" sustainable hydrogen energy system. It is believed that it will form the future energy network together with electricity, becoming the two major pillars of the energy structure and an important path to achieve "deep decarbonization" in addition to renewable energy. With the advancement of the carbon market, the demand for green hydrogen is gradually increasing. In the future, large-scale photovoltaic power generation and wind power generation with the support of water electrolysis to produce green hydrogen will become a trend. However, existing technical methods The following deficiencies exist in the simulation of wind and solar hydrogen production: 1. The existing technical methods only rely on wind and solar power output to simulate the electrolyzer load, but fail to accurately provide the electrolyzer scheduling scheme; 2. The existing technical methods fail to fully reflect and accurately describe the operating characteristics of the electrolyzer when optimizing the electrolyzer capacity configuration, which limits its application effect to a certain extent; 3. The existing technical methods cannot scientifically and reasonably schedule the start and stop of the electrolyzer according to the predicted results of new energy output, and fail to select the optimal target value based on the comparative analysis of various electrolyzer scheduling schemes, which seriously affects production efficiency and resource utilization. Summary of the invention

[0003] The present invention provides a method, device and equipment for determining an electrolyzer arrangement scheme, which solves the problem that the existing wind-solar hydrogen production simulation technology cannot provide an accurate electrolyzer arrangement scheme during application, which seriously affects production efficiency and wastes resources during production.

[0004] In order to solve the above technical problems, the technical solution of the present invention is as follows:

[0005] An embodiment of the present invention provides a method for determining an electrolyzer arrangement scheme, which is applied to a wind-solar hydrogen production simulation system. The determination method includes:

[0006] Obtain the data set of predicted output data of the wind-solar hydrogen production simulation system every hour within the preset time period and the real-time startup status of the current electrolyzer;

[0007] Determine the maximum number of electrolytic cells to be operated within a preset time period according to the maximum predicted output data in the data set and the minimum operating load of a single electrolytic cell;

[0008] Determine the number of electrolytic cells started per hour within a preset time period according to the data set, the maximum number of electrolytic cells in operation, and the real-time startup status of the current electrolytic cells;

[0009] According to the number of electrolytic cells started per hour in the preset time period, the scheduling plan of the electrolytic cells under the current maximum operating number in the preset time period is determined.

[0010] Optionally, the method for determining the electrolytic cell arrangement scheme further includes:

[0011] The maximum operation number of the electrolytic cells is reduced in sequence according to the preset parameters to generate maximum operation parameters of the multiple electrolytic cells;

[0012] According to the maximum operating parameter, through the data set and the real-time startup state of the current electrolytic cell, multiple scheduling schemes of the electrolytic cell under the maximum operating parameter are determined;

[0013] According to multiple scheduling schemes of the electrolytic cell, the target scheduling scheme of the electrolytic cell is determined by presetting the operation strategy.

[0014] Optionally, according to a plurality of scheduling schemes of the electrolytic cell, a target scheduling scheme of the electrolytic cell is determined by a preset operation strategy, including:

[0015] According to the number of electrolytic cells started up per hour in the preset time period and the predicted output data per hour, the operating power of the electrolytic cells after starting up per hour in each scheduling plan is determined through the preset operation strategy;

[0016] According to the operating power of the electrolyzer after starting up every hour in each scheduling scheme, determine the total hydrogen production of the electrolyzer in each scheduling scheme within a preset time period;

[0017] The target arrangement scheme of the electrolyzer is determined according to the total hydrogen production of the electrolyzer in each arrangement scheme.

[0018] Optionally, according to the operating power of the electrolyzer after being started every hour in each scheduling scheme, the total hydrogen production of the electrolyzer in each scheduling scheme within a preset time period is determined, including:

[0019] According to the operating power of the electrolytic cell after each hour of startup in each scheduling scheme, the formula Determine the hydrogen production per hour of each electrolyzer in each generator arrangement;

[0020] By formula Determine the total hydrogen production per hour for each generator arrangement;

[0021] According to the total hydrogen production per hour of each generator arrangement, determine the total hydrogen production of the electrolyzer of each generator arrangement within a preset time period;

[0022] in, represents the operating power of the i-th electrolytic cell at time t in the current arrangement scheme; γ i Indicates the hydrogen-to-electricity conversion efficiency of the i-th electrolyzer in the current arrangement scheme; represents the hydrogen production of the i-th electrolyzer at time t in the current machine arrangement plan; n represents the number of electrolyzers configured at time t in the current machine arrangement plan, and n is a positive integer; Indicates the total hydrogen production at time t in the current generator arrangement.

[0023] Optionally, determining the number of electrolytic cell startups corresponding to each hour in a preset time period according to the data set, the maximum number of electrolytic cells in operation, and the real-time startup status of the current electrolytic cell, includes:

[0024] Get the number of powered-on computers at the first time t-1, where t is greater than 1 and is a positive integer;

[0025] According to the data set, determine the total power P of the predicted output data at the current time t t , the total power P of the predicted output data at the second time t+1 t+1 And the total power P of the predicted output data at the third time t+2 t+2 , where t+2>t+1>t>t-1;

[0026] According to the maximum number of electrolytic cells in operation within the preset time period, the number of electrolytic cells started at the first time t-1, and the total power P of the predicted output data at the current time t t and the real-time startup status of the current electrolytic cell, determine the first minimum startup quantity i corresponding to the current time t t min and the first maximum number of startups i t max ;

[0027] According to the maximum number of electrolytic cells in operation within the preset time period and the total power P of the predicted output data at the second time t+1 t+1 , determine the second minimum startup number i corresponding to the second time t+1 t+1 min and the second maximum startup quantity i t+1 max ;

[0028] According to the maximum number of electrolytic cells in operation within the preset time period and the total power P of the predicted output data at the third time t+2 t+2 , determine the third minimum startup number i corresponding to the third time t+2 t+2 min and the third maximum number of boot i t+2 max ;

[0029] The total power P of the predicted output data at the current time t t , the total power P of the predicted output data at the second time t+1 t+1 And the total power P of the predicted output data at the third time t+2 t+2 Performing comparison processing and determining comparison results;

[0030] According to the comparison result, the first minimum startup quantity i t min , the first maximum number of startups i t max , the second minimum startup quantity i t+1 min , the second maximum number of startup i t+1 max 、The third minimum startup quantity i t+2 min And the third maximum number of boot i t +2 max , determine the number of electrolytic cells started per hour within the preset time period.

[0031] Optionally, according to the comparison result, the first minimum startup quantity i t min , the first maximum number of startups i t max , the second minimum startup quantity i t+1 min , the second maximum number of startup i t+1 max 、The third minimum startup quantity i t+2 min And the third maximum number of boot i t+2 max , determine the number of electrolytic cells started per hour within the preset time period, including:

[0032] When the comparison result is P t+2 >P t+1 >P t When the first maximum startup number i t max With the third minimum startup quantity i t+2 min Perform comparison processing, when the first maximum startup number i t max Greater than the third minimum startup quantity i t+2 min When the third minimum startup quantity i t+2 min As the output of the number of electrolytic cells started at the current time t, when the first maximum number of started it max Less than or equal to the third minimum startup quantity i t+2 min When the second minimum startup quantity i t+1 min Output as the number of electrolytic cells powered on at the current time t;

[0033] When the comparison result is P t+1 >P t+2 >P t When the second minimum startup quantity i t+1 min Output as the number of electrolytic cells powered on at the current time t;

[0034] When the comparison result is P t+2 >P t >P t+1 When the third minimum startup quantity i t+2 min The second maximum number of boot i t+1 max Perform comparison processing, when the third minimum startup number i t+2 min Greater than the second maximum startup number i t+1 max When the second minimum startup quantity i t+1 min As the output of the number of electrolytic cells started at the current time t, when the third minimum number of started i t+2 min Less than or equal to the second maximum startup number i t+1 max When the third minimum startup quantity i t+2 min Output as the number of electrolytic cells in operation at the current time t.

[0035] Optionally, according to the comparison result, the first minimum startup quantity i t min , the first maximum number of startups i t max , the second minimum startup quantity i t+1 min , the second maximum number of startup i t+1 max 、The third minimum startup quantity i t+2 min And the third maximum number of boot i t+2 max , determine the number of electrolytic cells started per hour within the preset time period, including:

[0036] When the comparison result is Pt+2 =P t >P t+1 When the second maximum startup number i t+1 max Output as the number of electrolytic cells powered on at the current time t;

[0037] When the comparison result is P t+2 =P t <P t+1 When the second minimum startup quantity i t+1 min Output as the number of electrolytic cells in operation at the current time t.

[0038] Optionally, according to the comparison result, the first minimum startup quantity i t min , the first maximum number of startups i t max , the second minimum startup quantity i t+1 min , the second maximum number of startup i t+1 max 、The third minimum startup quantity i t+2 min And the third maximum number of boot i t+2 max , determine the number of electrolytic cells started per hour within the preset time period, including:

[0039] When the comparison result is P t >P t+1 >P t+2 or P t+1 >P t >P t+2 When the first minimum startup quantity i t min Output as the number of electrolytic cells powered on at the current time t;

[0040] When the comparison result is P t >P t+2 >P t+1 When the second maximum startup number i t+1 max With the third minimum startup quantity i t+2 min Perform comparison processing, when the second maximum startup number i t+1 max Greater than the third minimum startup quantity i t+2 min When the second minimum startup quantity i t+1 min As the output of the number of electrolytic cells started at the current time t, when the second maximum number of started it+1 max Less than or equal to the third minimum startup quantity i t+2 min When the third minimum startup quantity i t+2 min Output as the number of electrolytic cells in operation at the current time t.

[0041] The embodiment of the present invention further provides a device for determining an electrolytic cell arrangement scheme, comprising:

[0042] An acquisition module is used to obtain a data set of predicted output data of the wind-solar hydrogen production simulation system every hour within a preset time period and the real-time startup status of the current electrolyzer;

[0043] The processing module is used to determine the maximum number of electrolytic cells in operation within a preset time period based on the maximum predicted output data in the data set and the minimum operating load of a single electrolytic cell; determine the number of electrolytic cells started per hour within the preset time period based on the data set, the maximum number of electrolytic cells in operation and the real-time startup status of the current electrolytic cell; and determine the electrolytic cell scheduling plan under the current maximum number of electrolytic cells in operation within the preset time period based on the number of electrolytic cells started per hour within the preset time period.

[0044] An embodiment of the present invention further provides a computing device, comprising: a processor and a memory storing a computer program, wherein the computer program executes the method described above when executed by the processor.

[0045] The above solution of the present invention includes at least the following beneficial effects:

[0046] The method for determining the electrolyzer scheduling scheme of the present invention obtains a data set of predicted output data of the wind-solar hydrogen production simulation system every hour within a preset time period and the real-time startup status of the current electrolyzer; determines the maximum number of electrolyzers in operation within the preset time period according to the maximum predicted output data in the data set and the minimum operating load of a single electrolyzer; determines the number of electrolyzer startups corresponding to each hour within the preset time period according to the data set, the maximum number of electrolyzers in operation and the real-time startup status of the current electrolyzer; determines the electrolyzer scheduling scheme under the current maximum number of operations within the preset time period according to the number of electrolyzer startups corresponding to each hour within the preset time period. The method achieves accurate determination of the electrolyzer scheduling scheme and rational use of wind and solar resources during the wind-solar hydrogen production simulation, while improving production efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 It is a schematic flow chart of a method for determining an electrolytic cell arrangement scheme of the present invention;

[0048] Figure 2It is a specific flow chart of the method for determining the electrolytic cell arrangement scheme of the present invention;

[0049] Figure 3 It is a schematic diagram of a flow chart for determining the number of electrolytic cells started per hour in a method for determining an electrolytic cell arrangement scheme of the present invention;

[0050] Figure 4 It is a module schematic diagram of a device for determining an electrolytic cell arrangement scheme of the present invention. DETAILED DESCRIPTION

[0051] The exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although the exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0052] like Figure 1 and Figure 2 As shown, an embodiment of the present invention provides a method for determining an electrolyzer arrangement scheme, which is applied to a wind-solar hydrogen production simulation system, and the determination method includes:

[0053] Step 11, obtaining a data set of predicted output data of the wind-solar hydrogen production simulation system every hour within a preset time period and the real-time startup status of the current electrolyzer;

[0054] Step 12, determining the maximum number of electrolytic cells in operation within a preset time period according to the maximum predicted output data in the data set and the minimum operating load of a single electrolytic cell;

[0055] Step 13, determining the number of electrolytic cell startups corresponding to each hour in a preset time period according to the data set, the maximum number of electrolytic cell operations, and the real-time startup status of the current electrolytic cell;

[0056] Step 14, according to the number of electrolytic cells started per hour in the preset time period, determine the electrolytic cell scheduling plan under the current maximum operating number in the preset time period.

[0057] In this embodiment, the preset time period can be specifically one year, that is, 8760 hours; the data set is a collection of hourly predicted output data; the predicted output data is the hourly output power data of wind power and the hourly output power data of photovoltaic power within 8760 hours; the real-time startup status of the current electrolyzer includes: cold start status and hot start status; wherein, the cold start status means that the current electrolyzer has been in an unpowered state for three consecutive hours, and the electrolyzer in the cold start state can only be started at low load, and it takes 2 hours of startup time to reach full load use; the hot start status means that the current electrolyzer has been started at least once within three hours, and the electrolyzer in the hot start state can be directly started to any power according to demand, that is, it can be directly started and used at full load;

[0058] In this embodiment, step 12 can specifically be to filter all the predicted output data in the data set by screening, select the maximum value and then divide it by the maximum operating load of a single electrolyzer, so as to obtain the maximum number of electrolyzers in operation within a preset time period, wherein the maximum number of operations is a positive integer, and the decimal part is rounded; the method for determining the electrolyzer scheduling scheme described in this embodiment uses the data set of predicted output data per hour in the preset time period of the wind and solar hydrogen production simulation system and the real-time startup status of the current electrolyzer to perform scientific and reasonable production sequencing for the start and stop of the electrolyzer, solving the problem that the existing wind and solar hydrogen production simulation technology cannot provide an accurate electrolyzer scheduling scheme during application, resulting in serious impact on production efficiency and waste of resources during the production process. The accurate determination of the electrolyzer scheduling scheme and the rational use of wind and solar resources in the wind and solar hydrogen production simulation process are achieved, while improving production efficiency.

[0059] In an optional embodiment of the present invention, the method for determining the electrolytic cell arrangement scheme further includes:

[0060] Step 15, reducing the maximum operating number of the electrolytic cells in sequence according to the preset parameters, and generating maximum operating parameters of the multiple electrolytic cells;

[0061] Step 16, according to the maximum operating parameter, through the data set and the real-time startup state of the current electrolytic cell, determining multiple scheduling schemes of the electrolytic cell under the maximum operating parameter;

[0062] Step 17, according to multiple scheduling schemes of the electrolytic cell, a target scheduling scheme of the electrolytic cell is determined by a preset operation strategy.

[0063] In this embodiment, the preset parameter can be specifically 2, and step 15 can be specifically when the maximum operating number is 10, the maximum operating number parameter of the electrolytic cell can be modified by reducing 2 units in sequence, and the maximum operating number of the electrolytic cell can be modified to 8, 6, 4, and 2 respectively, and 8, 6, 4, and 2 are respectively used as the new maximum operating numbers, that is, the maximum operating parameters of the electrolytic cell; determining multiple machine scheduling schemes for the electrolytic cell under the maximum operating parameters in step 16 refers to taking 8, 6, 4, and 2 as the maximum operating numbers, and determining the corresponding machine scheduling schemes, and the specific determination process is the same as the determination process of the machine scheduling scheme of the electrolytic cell from steps 13 to 14.

[0064] In an optional embodiment of the present invention, step 17 may include:

[0065] Step 171, according to the number of electrolytic cells started up per hour in a preset time period and the predicted output data per hour, the operating power of the electrolytic cells after being started up per hour in each scheduling scheme is determined by a preset operation strategy;

[0066] Step 172, determining the total hydrogen production of the electrolyzers in each scheduling scheme within a preset time period according to the operating power of the electrolyzers after each hour of startup in each scheduling scheme;

[0067] Step 173, determining a target scheduling scheme for the electrolyzer according to the total hydrogen production of the electrolyzer in each scheduling scheme.

[0068] In this embodiment, the preset operation strategy can be designed according to the needs. The preset operation strategy described in the present invention is specifically: the power of the current predicted output data gives priority to satisfying the number of electrolyzers currently turned on (that is, the number of electrolyzers turned on at the lowest power is given priority). When the predicted output data is greater than all the lowest startup powers of the current electrolyzers (that is, the current predicted output data can satisfy the lowest startup power of the electrolyzers that need to be turned on at the current moment, and there is a surplus), the hydrogen production load is increased first (that is, the operating power of the electrolyzer is increased, preferably the electrolyzer is operated at full load or the power is evenly distributed). When all electrolyzers are running at full load and there is still surplus power, the surplus power is used for access to the Internet, that is, for sale. When the surplus power exceeds the sales range, the surplus part is abandoned.

[0069] In this embodiment, the operation state of the electrolytic cell after startup includes: a low-power operation state, i.e., operation at the lowest power; a full-power operation state, i.e., operation at the highest power; and a normal power operation state between the low-power operation state and the full-power operation state. Since it takes 1.5 hours for the electrolytic cell to start up to full load, if it is judged that the predicted output data will show an upward trend in the next three hours, then other electrolytic cells need to be started at the current moment;

[0070] In this embodiment, step 173 is specifically to determine the target dispatching scheme of the electrolyzer based on the total hydrogen production, specifically: calculate the hydrogen price corresponding to each dispatching scheme through the total hydrogen production (when calculating the hydrogen price, it is necessary to conduct a joint evaluation in combination with the abandoned power and the online power in the preset operation strategy); compare the hydrogen prices of all the dispatching schemes, and determine the scheme corresponding to the lowest hydrogen price as the target dispatching scheme of the electrolyzer.

[0071] In this embodiment, based on the design of preset operating strategies and comparative analysis of various electrolyzer scheduling schemes, the optimal target value is selected, and then the optimal scheme for the scale configuration of the electrolyzer is obtained, which maximizes the solution to the problem of the technical route of determining the load based on the scheduling scheme, realizes the determination of the optimal scheduling scheme based on the output load and demand, and further improves the accuracy of the production simulation of the wind-solar-hydrogen system.

[0072] In an optional embodiment of the present invention, step 172 may include:

[0073] Step 1721, according to the operating power of the electrolytic cell after each hour of startup in each scheduling scheme, the formula Determine the hydrogen production per hour of each electrolyzer in each generator arrangement;

[0074] Step 1722, by formula Determine the total hydrogen production per hour for each generator arrangement;

[0075] Step 1723, determining the total hydrogen production of the electrolyzers of each arrangement scheme within a preset time period according to the total hydrogen production of each arrangement scheme per hour;

[0076] in, represents the operating power of the i-th electrolytic cell at time t in the current arrangement scheme; γ i Indicates the hydrogen-to-electricity conversion efficiency of the i-th electrolyzer in the current arrangement scheme; represents the hydrogen production of the i-th electrolyzer at time t in the current machine arrangement plan; n represents the number of electrolyzers configured at time t in the current machine arrangement plan, and n is a positive integer; Indicates the total hydrogen production at time t in the current generator arrangement.

[0077] In an optional embodiment of the present invention, step 13 may include:

[0078] Step 131, obtaining the number of powered-on devices at the first time t-1, where t is greater than 1 and is a positive integer;

[0079] Step 132: Determine the total power P of the predicted output data at the current time t according to the data set. t , the total power P of the predicted output data at the second time t+1 t+1And the total power P of the predicted output data at the third time t+2 t+2 , where t+2>t+1>t>t-1;

[0080] Step 133, according to the maximum number of running electrolytic cells in the preset time period, the number of start-up cells at the first time t-1, and the total power P of the predicted output data at the current time t t and the real-time startup status of the current electrolytic cell, determine the first minimum startup quantity i corresponding to the current time t t min and the first maximum number of startups i t max ;

[0081] Step 134: based on the maximum number of electrolytic cells in operation within the preset time period and the total power P of the predicted output data at the second time t+1 t+1 , determine the second minimum startup number i corresponding to the second time t+1 t+1 min and the second maximum startup quantity i t+1 max ;

[0082] Step 135: calculate the total power P of the predicted output data at the third time t+2 according to the maximum number of electrolytic cells in operation within the preset time period. t+2 , determine the third minimum startup number i corresponding to the third time t+2 t+2 min and the third maximum number of boot i t+2 max ;

[0083] Step 136: The total power P of the predicted output data at the current time t is t , the total power P of the predicted output data at the second time t+1 t+1 And the total power P of the predicted output data at the third time t+2 t+2 Performing comparison processing and determining comparison results;

[0084] Step 137: According to the comparison result, the first minimum startup quantity i t min , the first maximum number of startups i t max , the second minimum startup quantity i t+1 min , the second maximum number of startup i t+1 max 、The third minimum startup quantity i t+2 min And the third maximum number of boot i t+2 max, determine the number of electrolytic cells started per hour within the preset time period.

[0085] In this embodiment, when the first moment t-1 is 1, that is, when t is equal to 2, it means that the current moment is the initial startup moment, and the predicted output data at this time are all used to start the electrolytic cell and give priority to starting all electrolytic cells, that is, all predicted output data are used to start all electrolytic cells at the lowest power, so as to ensure the normal operation of the electrolytic cell at the next moment;

[0086] In this embodiment, the first maximum startup number is the total power of the predicted output data at the current moment t divided by the minimum operating power of the electrolytic cell and rounded up, and the first minimum startup number is first calculated according to the maximum operating power of the electrolytic cell, and the total power of the predicted output data at the current moment t is in the full power operating state, and then it is determined whether the number at the previous moment (i.e., the first moment t-1) is greater than the current startup number. If it is greater, the first minimum startup number is the total power of the predicted output data at the current moment t divided by the maximum operating power of the electrolytic cell and rounded up, that is, when the maximum operating power of the electrolytic cell is 5MW, the startup number at the first moment t-1 is 6 units, and the total power of the predicted output data at the current moment t is 20MW, that is, at this time 20MW / 5MW=4 units, then at this time the startup number at the first moment t-1 is greater than the startup number under the total power of the predicted output data at the current moment t, then the first minimum startup number The number is 4; if it is less than or equal to, the first minimum startup number is the hot start number of the electrolytic cell at the current moment plus the number at the previous moment, and the accumulated number is not greater than the total power of the predicted output data at the current moment t, which can meet the full power operation state; for example: when the maximum operating power of the electrolytic cell is 5MW, the startup number at the first moment t-1 is 3, and the hot start number of the electrolytic cell at the current moment is 2; at this time, the total power of the predicted output data at the current moment t is 20MW, then 20MW divided by 5MW is equal to 4, that is, the startup number 3 at the first moment t-1 is less than the full load startup number 4 under the total power of the predicted output data at the current moment t, then at this time, the first minimum startup number can be preliminarily determined as 3+2=5, but because the total power of the predicted output data at the current moment t is only 20MW, that is, a maximum of 4 can be started, that is, the final first minimum startup number is determined to be 4;

[0087] The second maximum startup number is the total power of the predicted output data at the second moment divided by the minimum operating power of the electrolytic cell and rounded up; the second minimum startup number is the total power of the predicted output data at the second moment divided by the maximum operating power of the electrolytic cell and rounded up;

[0088] The third maximum startup number is the total power of the predicted output data at the third moment divided by the minimum operating power of the electrolytic cell and rounded; the third minimum startup number is the total power of the predicted output data at the third moment divided by the maximum operating power of the electrolytic cell and rounded.

[0089] In an optional embodiment of the present invention, step 137 may include:

[0090] When the comparison result is P t+2 >P t+1 >P t When the first maximum startup number i t max With the third minimum startup quantity i t+2 min Perform comparison processing, when the first maximum startup number i t max Greater than the third minimum startup quantity i t+2 min When the third minimum startup quantity i t+2 min As the output of the number of electrolytic cells started at the current time t, when the first maximum number of started i t max Less than or equal to the third minimum startup quantity i t+2 min When the second minimum startup quantity i t+1 min Output as the number of electrolytic cells powered on at the current time t;

[0091] When the comparison result is P t+1 >P t+2 >P t When the second minimum startup quantity i t+1 min Output as the number of electrolytic cells powered on at the current time t;

[0092] When the comparison result is P t+2 >P t >P t+1 When the third minimum startup quantity i t+2 min The second maximum number of boot t+1 max Perform comparison processing, when the third minimum startup number i t+2 min Greater than the second maximum startup quantity i t+1 max When the second minimum startup quantity i t+1 min As the output of the number of electrolytic cells started at the current time t, when the third minimum number of started it+2 min Less than or equal to the second maximum startup number i t+1 max When the third minimum startup quantity i t+2 min Output as the number of electrolytic cells in operation at the current time t.

[0093] In an optional embodiment of the present invention, step 137 may further include:

[0094] When the comparison result is P t+2 =P t >P t+1 When the second maximum startup number i t+1 max Output as the number of electrolytic cells powered on at the current time t;

[0095] When the comparison result is P t+2 =P t <P t+1 When the second minimum startup quantity i t+1 min Output as the number of electrolytic cells in operation at the current time t.

[0096] In an optional embodiment of the present invention, step 137 may further include:

[0097] When the comparison result is P t >P t+1 >P t+2 or P t+1 >P t >P t+2 When the first minimum startup quantity i t min Output as the number of electrolytic cells powered on at the current time t;

[0098] When the comparison result is P t >P t+2 >P t+1 When the second maximum startup number i t+1 max With the third minimum startup quantity i t+2 min Perform comparison processing, when the second maximum startup number i t+1 max Greater than the third minimum startup quantity i t+2 min When the second minimum startup quantity i t+1 min As the output of the number of electrolytic cells started at the current time t, when the second maximum number of started i t+1 maxLess than or equal to the third minimum startup quantity i t+2 min When the third minimum startup quantity i t+2 min Output as the number of electrolytic cells in operation at the current time t.

[0099] like Figure 3 As shown, Figure 3 i t Indicates the number of startups at time t; below, the maximum operating power of the electrolyzer is 5MW, the minimum operating power is 1.5MW, the maximum number of operations in the preset time period is 20, the number of startups at the first moment t-1 is 3, and the total power P of the predicted output data at the current moment t t is 21.5MW. The real-time startup state at the current time t is 2 hot start states. The total power P of the predicted output data at the second time t+1 is t+1 is 23MK, the real-time startup state at the second moment t+1 is 2 hot start states, and the total power P of the predicted output data at the third moment t+2 is t+2 Taking the real-time startup state of 25MK and the hot startup state of the third moment t+2 as an example, the specific determination process of the startup number of the electrolytic cell at moment t of the present invention is illustrated by way of example:

[0100] First, determine the first minimum startup number i corresponding to the current time t t min =4 units, the first maximum number of units to be started is i t max =21.5MW / 1.5MW=14.3, which is rounded to 14 units; the second minimum startup quantity i t+1 min After rounding, it is 4, the second largest number of startup machines i t+1 max After rounding, it is 15, the third minimum startup quantity i t+2 min After rounding, it is 5, the third maximum number of startups i t+2 max After rounding, it is 16 units; then first compare the total power corresponding to time t and time t+2. By comparison, it can be seen that P t+2 >P t Then, the total power corresponding to time t, t+1 and t+2 is compared. By comparison, it can be seen that P t+2 >P t+1 >P t At this time, according to the comparison rule, the next step is to set the first maximum startup number i t max With the third minimum startup quantity i t+2 minAfter comparison, the first maximum startup number i can be known. t max Greater than the third minimum startup quantity i t+2 min , then the third minimum startup quantity i t+2 min As the output of the number of electrolytic cells turned on at the current moment t, that is, the number of electrolytic cells turned on at the current moment t is 5, according to the operation strategy, 4 of them can be operated at full power, and 1 of them can be operated at the lowest power.

[0101] The method for determining the electrolytic cell scheduling scheme described in the present invention can scientifically and reasonably schedule the start and stop of the electrolytic cells according to the hourly predicted output data, and can select the optimal target value based on the comparative analysis of various electrolytic cell scheduling schemes, and then obtain the optimal scheme for the scale configuration of the electrolytic cells, which solves the technical route of determining the load by the scheduling scheme to the greatest extent, breaks through the difficult problems that cannot be solved by traditional methods, and significantly improves the analysis efficiency of the production simulation of the wind-solar-hydrogen production integration project, providing a powerful reference and scientific basis for project investment decisions.

[0102] like Figure 4 As shown, an embodiment of the present invention provides a device 40 for determining an electrolytic cell arrangement scheme, comprising:

[0103] An acquisition module 41 is used to acquire a data set of predicted output data of the wind-solar hydrogen production simulation system every hour within a preset time period and a real-time startup status of the current electrolyzer;

[0104] The processing module 42 is used to determine the maximum number of electrolytic cells in operation within a preset time period based on the maximum predicted output data in the data set and the minimum operating load of a single electrolytic cell; determine the number of electrolytic cells started per hour within the preset time period based on the data set, the maximum number of electrolytic cells in operation and the real-time startup status of the current electrolytic cell; and determine the electrolytic cell scheduling plan under the current maximum number of electrolytic cells in operation within the preset time period based on the number of electrolytic cells started per hour within the preset time period.

[0105] Optionally, the method for determining the electrolytic cell arrangement scheme further includes:

[0106] The maximum operation number of the electrolytic cells is reduced in sequence according to the preset parameters to generate maximum operation parameters of the multiple electrolytic cells;

[0107] According to the maximum operating parameter, through the data set and the real-time startup state of the current electrolytic cell, multiple scheduling schemes of the electrolytic cell under the maximum operating parameter are determined;

[0108] According to multiple scheduling schemes of the electrolytic cell, the target scheduling scheme of the electrolytic cell is determined by presetting the operation strategy.

[0109] Optionally, according to a plurality of scheduling schemes of the electrolytic cell, a target scheduling scheme of the electrolytic cell is determined by a preset operation strategy, including:

[0110] According to the number of electrolytic cells started up per hour in the preset time period and the predicted output data per hour, the operating power of the electrolytic cells after starting up per hour in each scheduling plan is determined through the preset operation strategy;

[0111] According to the operating power of the electrolyzer after starting up every hour in each scheduling scheme, determine the total hydrogen production of the electrolyzer in each scheduling scheme within a preset time period;

[0112] The target arrangement scheme of the electrolyzer is determined according to the total hydrogen production of the electrolyzer in each arrangement scheme.

[0113] Optionally, according to the operating power of the electrolyzer after being started every hour in each scheduling scheme, the total hydrogen production of the electrolyzer in each scheduling scheme within a preset time period is determined, including:

[0114] According to the operating power of the electrolytic cell after each hour of startup in each scheduling scheme, the formula Determine the hydrogen production per hour of each electrolyzer in each generator arrangement;

[0115] By formula Determine the total hydrogen production per hour for each generator arrangement;

[0116] According to the total hydrogen production per hour of each generator arrangement, determine the total hydrogen production of the electrolyzer of each generator arrangement within a preset time period;

[0117] in, represents the operating power of the i-th electrolytic cell at time t in the current arrangement scheme; γ i Indicates the hydrogen-to-electricity conversion efficiency of the i-th electrolyzer in the current arrangement scheme; represents the hydrogen production of the i-th electrolyzer at time t in the current machine arrangement plan; n represents the number of electrolyzers configured at time t in the current machine arrangement plan, and n is a positive integer; Indicates the total hydrogen production at time t in the current generator arrangement.

[0118] Optionally, determining the number of electrolytic cell startups corresponding to each hour in a preset time period according to the data set, the maximum number of electrolytic cells in operation, and the real-time startup status of the current electrolytic cell, includes:

[0119] Get the number of powered-on computers at the first time t-1, where t is greater than 1 and is a positive integer;

[0120] According to the data set, determine the total power P of the predicted output data at the current time tt , the total power P of the predicted output data at the second time t+1 t+1 And the total power P of the predicted output data at the third time t+2 t+2 , where t+2>t+1>t>t-1;

[0121] According to the maximum number of electrolytic cells in operation within the preset time period, the number of electrolytic cells started at the first time t-1, and the total power P of the predicted output data at the current time t t and the real-time startup status of the current electrolytic cell, determine the first minimum startup quantity i corresponding to the current time t t min and the first maximum number of startups i t max ;

[0122] According to the maximum number of electrolytic cells in operation within the preset time period and the total power P of the predicted output data at the second time t+1 t+1 , determine the second minimum startup number i corresponding to the second time t+1 t+1 min and the second maximum startup quantity i t+1 max ;

[0123] According to the maximum number of electrolytic cells in operation within the preset time period and the total power P of the predicted output data at the third time t+2 t+2 , determine the third minimum startup number i corresponding to the third time t+2 t+2 min and the third maximum number of boot i t+2 max ;

[0124] The total power P of the predicted output data at the current time t t , the total power P of the predicted output data at the second time t+1 t+1 And the total power P of the predicted output data at the third time t+2 t+2 Performing comparison processing and determining comparison results;

[0125] According to the comparison result, the first minimum startup quantity i t min , the first maximum number of startups i t max , the second minimum startup quantity i t+1 min , the second maximum number of startup i t+1 max 、The third minimum startup quantity i t+2 min And the third maximum number of boot i t +2max , determine the number of electrolytic cells started per hour within the preset time period.

[0126] Optionally, according to the comparison result, the first minimum startup quantity i t min , the first maximum number of startups i t max , the second minimum startup quantity i t+1 min , the second maximum number of startup i t+1 max 、The third minimum startup quantity i t+2 min And the third maximum number of boot i t+2 max , determine the number of electrolytic cells started per hour within the preset time period, including:

[0127] When the comparison result is P t+2 >P t+1 >P t When the first maximum startup number i t max With the third minimum startup quantity i t+2 min Perform comparison processing, when the first maximum startup number i t max Greater than the third minimum startup quantity i t+2 min When the third minimum startup quantity i t+2 min As the output of the number of electrolytic cells started at the current time t, when the first maximum number of started i t max Less than or equal to the third minimum startup quantity i t+2 min When the second minimum startup quantity i t+1 min Output as the number of electrolytic cells powered on at the current time t;

[0128] When the comparison result is P t+1 >P t+2 >P t When the second minimum startup quantity i t+1 min Output as the number of electrolytic cells powered on at the current time t;

[0129] When the comparison result is P t+2 >P t >P t+1 When the third minimum startup quantity i t+2 min The second maximum number of boott+1 max Perform comparison processing, when the third minimum startup number i t+2 min Greater than the second maximum startup quantity i t+1 max When the second minimum startup quantity i t+1 min As the output of the number of electrolytic cells started at the current time t, when the third minimum number of started i t+2 min Less than or equal to the second maximum startup number i t+1 max When the third minimum startup quantity i t+2 min Output as the number of electrolytic cells in operation at the current time t.

[0130] Optionally, according to the comparison result, the first minimum startup quantity i t min , the first maximum number of startups i t max , the second minimum startup quantity i t+1 min , the second maximum number of startup i t+1 max 、The third minimum startup quantity i t+2 min And the third maximum number of boot i t+2 max , determine the number of electrolytic cells started per hour within the preset time period, including:

[0131] When the comparison result is P t+2 =P t >P t+1 When the second maximum startup number i t+1 max Output as the number of electrolytic cells powered on at the current time t;

[0132] When the comparison result is P t+2 =P t <P t+1 When the second minimum startup quantity i t+1 min Output as the number of electrolytic cells in operation at the current time t.

[0133] Optionally, according to the comparison result, the first minimum startup quantity i t min , the first maximum number of startups i t max , the second minimum startup quantity i t+1 min , the second maximum number of startup it+1 max 、The third minimum startup quantity i t+2 min And the third maximum number of boot i t+2 max , determine the number of electrolytic cells started per hour within the preset time period, including:

[0134] When the comparison result is P t >P t+1 >P t+2 or P t+1 >P t >P t+2 When the first minimum startup quantity i t min Output as the number of electrolytic cells powered on at the current time t;

[0135] When the comparison result is P t >P t+2 >P t+1 When the second maximum startup number i t+1 max With the third minimum startup quantity i t+2 min Perform comparison processing, when the second maximum startup number i t+1 max Greater than the third minimum startup quantity i t+2 min When the second minimum startup quantity i t+1 min As the output of the number of electrolytic cells started at the current time t, when the second maximum number of started i t+1 max Less than or equal to the third minimum startup quantity i t+2 min When the third minimum startup quantity i t+2 min Output as the number of electrolytic cells in operation at the current time t.

[0136] It should be noted that the device is a device corresponding to the above-mentioned method, and all implementation methods in the above-mentioned method embodiment are applicable to the embodiment of the device and can achieve the same technical effect.

[0137] The embodiment of the present invention further provides a computing device, comprising: a processor, a memory storing a computer program, wherein when the computer program is executed by the processor, the method described above is executed. All implementations in the above method embodiment are applicable to this embodiment and can achieve the same technical effect.

[0138] The embodiment of the present invention further provides a computer-readable storage medium, including instructions, which, when executed on a computer, enable the computer to execute the method described above. All implementations in the above method embodiment are applicable to this embodiment and can achieve the same technical effect.

[0139] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0140] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0141] In the embodiments provided by the present invention, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0142] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0143] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0144] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as USB flash drives, mobile hard disks, ROM, RAM, magnetic disks, or optical disks.

[0145] In addition, it should be noted that in the apparatus and method of the present invention, it is obvious that each component or each step can be decomposed and / or recombined. These decompositions and / or recombinations should be regarded as equivalent schemes of the present invention. Moreover, the steps of performing the above-mentioned series of processing can naturally be performed in chronological order according to the order of description, but it is not necessary to perform them in chronological order, and some steps can be performed in parallel or independently of each other. For those of ordinary skill in the art, it is understood that all or any steps or components of the method and apparatus of the present invention can be implemented in any computing device (including processors, storage media, etc.) or a network of computing devices in hardware, firmware, software or a combination thereof, which can be achieved by those of ordinary skill in the art using their basic programming skills after reading the description of the present invention.

[0146] Therefore, the purpose of the present invention can also be achieved by running a program or a group of programs on any computing device. The computing device can be a well-known general device. Therefore, the purpose of the present invention can also be achieved by simply providing a program product containing a program code that implements the method or device. That is to say, such a program product also constitutes the present invention, and the storage medium storing such a program product also constitutes the present invention. Obviously, the storage medium can be any well-known storage medium or any storage medium developed in the future. It should also be pointed out that in the device and method of the present invention, it is obvious that each component or each step can be decomposed and / or recombined. These decompositions and / or recombinations should be regarded as equivalent schemes of the present invention. In addition, the steps of performing the above-mentioned series of processing can naturally be performed in chronological order according to the order of description, but it is not necessary to perform them in chronological order. Some steps can be performed in parallel or independently of each other.

[0147] The above is a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A method for determining an electrolytic cell arrangement scheme, characterized in that: Applied to the wind-solar hydrogen production simulation system, the determination method includes: Obtain the data set of predicted output data of the wind-solar hydrogen production simulation system every hour within the preset time period and the real-time startup status of the current electrolyzer; Determine the maximum number of electrolytic cells to be operated within a preset time period according to the maximum predicted output data in the data set and the minimum operating load of a single electrolytic cell; Determine the number of electrolytic cells started per hour within a preset time period according to the data set, the maximum number of electrolytic cells in operation, and the real-time startup status of the current electrolytic cells; According to the number of electrolytic cells started per hour in the preset time period, determine the electrolytic cell scheduling plan under the current maximum number of operations in the preset time period; Wherein, according to the data set, the maximum number of running electrolytic cells and the real-time startup status of the current electrolytic cell, the number of electrolytic cell startups corresponding to each hour in the preset time period is determined, including: Get the number of powered-on computers at the first time t-1, where t is greater than 1 and is a positive integer; According to the data set, determine the total power P of the predicted output data at the current time t t , the total power P of the predicted output data at the second time t+1 t+1 And the total power P of the predicted output data at the third time t+2 t+2 , where t+2>t+1>t>t-1; According to the maximum number of electrolytic cells in operation within the preset time period, the number of electrolytic cells started at the first time t-1, and the total power P of the predicted output data at the current time t t and the real-time startup status of the current electrolytic cell, determine the first minimum startup quantity i corresponding to the current time t t min and the first maximum number of startups i t max ; According to the maximum number of electrolytic cells in operation within the preset time period and the total power P of the predicted output data at the second time t+1 t +1 , determine the second minimum startup number i corresponding to the second time t+1 t+1 min and the second maximum startup quantity i t+1 max ; According to the maximum number of electrolytic cells in operation within the preset time period and the total power P of the predicted output data at the third time t+2 t +2 , determine the third minimum startup number i corresponding to the third time t+2 t+2 min and the third maximum number of boot i t+2 max ; The total power P of the predicted output data at the current time t t , the total power P of the predicted output data at the second time t+1 t+1 And the total power P of the predicted output data at the third time t+2 t+2 Performing comparison processing and determining comparison results; According to the comparison result, the first minimum startup quantity i t min , the first maximum number of startups i t max , the second minimum startup quantity i t+1 min , the second maximum number of startup i t+1 max 、The third minimum startup quantity i t+2 min And the third maximum number of boot i t+2 max , determine the number of electrolytic cells started per hour within the preset time period.

2. The method for determining the electrolytic cell arrangement scheme according to claim 1, characterized in that: Also includes: The maximum operation number of the electrolytic cells is reduced in sequence according to the preset parameters to generate maximum operation parameters of the multiple electrolytic cells; According to the maximum operating parameter, through the data set and the real-time startup state of the current electrolytic cell, multiple scheduling schemes of the electrolytic cell under the maximum operating parameter are determined; According to multiple scheduling schemes of the electrolytic cell, the target scheduling scheme of the electrolytic cell is determined by presetting the operation strategy.

3. The method for determining the electrolytic cell arrangement scheme according to claim 2, characterized in that: According to multiple scheduling schemes of the electrolytic cell, the target scheduling scheme of the electrolytic cell is determined by presetting the operation strategy, including: According to the number of electrolytic cells started up per hour in the preset time period and the predicted output data per hour, the operating power of the electrolytic cells after starting up per hour in each scheduling plan is determined through the preset operation strategy; According to the operating power of the electrolyzer after starting up every hour in each scheduling scheme, determine the total hydrogen production of the electrolyzer in each scheduling scheme within a preset time period; The target arrangement scheme of the electrolyzer is determined according to the total hydrogen production of the electrolyzer in each arrangement scheme.

4. The method for determining the electrolytic cell arrangement scheme according to claim 3, characterized in that: According to the operating power of the electrolyzer after starting up every hour in each scheduling scheme, the total hydrogen production of the electrolyzer in each scheduling scheme within a preset time period is determined, including: According to the operating power of the electrolytic cell after each hour of startup in each scheduling scheme, the formula Determine the hydrogen production per hour of each electrolyzer in each generator arrangement; By formula Determine the total hydrogen production per hour for each generator arrangement; According to the total hydrogen production per hour of each generator arrangement, determine the total hydrogen production of the electrolyzer of each generator arrangement within a preset time period; Among them, P i t represents the operating power of the i-th electrolytic cell at time t in the current arrangement scheme; γ i Indicates the hydrogen-to-electricity conversion efficiency of the i-th electrolyzer in the current arrangement scheme; represents the hydrogen production of the i-th electrolyzer at time t in the current machine arrangement plan; n represents the number of electrolyzers configured at time t in the current machine arrangement plan, and n is a positive integer; Indicates the total hydrogen production at time t in the current generator arrangement.

5. The method for determining the electrolytic cell arrangement scheme according to claim 1, characterized in that: According to the comparison result, the first minimum startup quantity i t min , the first maximum number of startups i t max , the second minimum startup quantity i t+1 min , the second maximum number of startup i t+1 max 、The third minimum startup quantity i t+2 min And the third maximum number of boot i t+2 max , determine the number of electrolytic cells started per hour within the preset time period, including: When the comparison result is P t+2 >P t+1 >P t When the first maximum startup number i t max With the third minimum startup quantity i t +2 min Perform comparison processing, when the first maximum startup number i t max Greater than the third minimum startup quantity i t+2 min When the third minimum startup quantity i t+2 min As the output of the number of electrolytic cells started at the current time t, when the first maximum number of started i t max Less than or equal to the third minimum startup quantity i t+2 min When the second minimum startup quantity i t+1 min Output as the number of electrolytic cells powered on at the current time t; When the comparison result is P t+1 >P t+2 >P t When the second minimum startup quantity i t+1 min Output as the number of electrolytic cells powered on at the current time t; When the comparison result is P t+2 >P t >P t+1 When the third minimum startup quantity i t+2 min The second maximum number of boot i t +1 max Perform comparison processing, when the third minimum startup number i t+2 min Greater than the second maximum startup number i t+1 max When the second minimum startup quantity i t+1 min As the output of the number of electrolytic cells started at the current time t, when the third minimum number of started i t +2 min Less than or equal to the second maximum startup number i t+1 max When the third minimum startup quantity i t+2 min Output as the number of electrolytic cells in operation at the current time t.

6. The method for determining the electrolytic cell arrangement scheme according to claim 1, characterized in that: According to the comparison result, the first minimum startup quantity i t min , the first maximum number of startups i t max , the second minimum startup quantity i t+1 min , the second maximum number of startup i t+1 max 、The third minimum startup quantity i t+2 min And the third maximum number of boot i t+2 max , determine the number of electrolytic cells started per hour within the preset time period, including: When the comparison result is P t+2 =P t >P t+1 When the second maximum startup number i t+1 max Output as the number of electrolytic cells powered on at the current time t; When the comparison result is P t+2 =P t <P t+1 When the second minimum startup quantity i t+1 min Output as the number of electrolytic cells in operation at the current time t.

7. The method for determining the electrolytic cell arrangement scheme according to claim 1, characterized in that: According to the comparison result, the first minimum startup quantity i t min , the first maximum number of startups i t max , the second minimum startup quantity i t+1 min , the second maximum number of startup i t+1 max 、The third minimum startup quantity i t+2 min And the third maximum number of boot i t+2 max , determine the number of electrolytic cells started per hour within the preset time period, including: When the comparison result is P t >P t+1 >P t+2 or P t+1 >P t >P t+2 When the first minimum startup quantity i t min Output as the number of electrolytic cells powered on at the current time t; When the comparison result is P t >P t+2 >P t+1 When the second maximum startup number i t+1 max With the third minimum startup quantity i t +2 min Perform comparison processing, when the second maximum startup number i t+1 max Greater than the third minimum startup quantity i t+2 min When the second minimum startup quantity i t+1 min As the output of the number of electrolytic cells started at the current time t, when the second maximum number of started i t +1 max Less than or equal to the third minimum startup quantity i t+2 min When the third minimum startup quantity i t+2 min Output as the number of electrolytic cells in operation at the current time t.

8. A device for determining an electrolytic cell arrangement scheme, characterized in that: include: An acquisition module is used to obtain a data set of predicted output data of the wind-solar hydrogen production simulation system every hour within a preset time period and the real-time startup status of the current electrolyzer; A processing module, used to determine the maximum number of electrolytic cells in operation within a preset time period according to the maximum predicted output data in the data set and the minimum operating load of a single electrolytic cell; Determine the number of electrolytic cell startups corresponding to each hour in a preset time period according to the data set, the maximum number of electrolytic cell operations, and the current real-time startup status of the electrolytic cell; determine the electrolytic cell scheduling plan under the current maximum number of operations in the preset time period according to the number of electrolytic cell startups corresponding to each hour in the preset time period; Wherein, according to the data set, the maximum number of running electrolytic cells and the real-time startup status of the current electrolytic cell, the number of electrolytic cell startups corresponding to each hour in the preset time period is determined, including: Get the number of powered-on computers at the first time t-1, where t is greater than 1 and is a positive integer; According to the data set, determine the total power P of the predicted output data at the current time t t , the total power P of the predicted output data at the second time t+1 t+1 And the total power P of the predicted output data at the third time t+2 t+2 , where t+2>t+1>t>t-1; According to the maximum number of electrolytic cells in operation within the preset time period, the number of electrolytic cells started at the first time t-1, and the total power P of the predicted output data at the current time t t and the real-time startup status of the current electrolytic cell, determine the first minimum startup quantity i corresponding to the current time t t min and the first maximum number of startups i t max ; According to the maximum number of electrolytic cells in operation within the preset time period and the total power P of the predicted output data at the second time t+1 t +1 , determine the second minimum startup number i corresponding to the second time t+1 t+1 min and the second maximum startup quantity i t+1 max ; According to the maximum number of electrolytic cells in operation within the preset time period and the total power P of the predicted output data at the third time t+2 t +2 , determine the third minimum startup number i corresponding to the third time t+2 t+2 min and the third maximum number of boot i t+2 max ; The total power P of the predicted output data at the current time t t , the total power P of the predicted output data at the second time t+1 t+1 And the total power P of the predicted output data at the third time t+2 t+2 Performing comparison processing and determining comparison results; According to the comparison result, the first minimum startup quantity i t min , the first maximum number of startups i t max , the second minimum startup quantity i t+1 min , the second maximum number of startup i t+1 max 、The third minimum startup quantity i t+2 min And the third maximum number of boot i t+2 max , determine the number of electrolytic cells started per hour within the preset time period.

9. A computing device, characterized in that include: A processor and a memory storing a computer program, wherein when the computer program is executed by the processor, the method according to any one of claims 1 to 7 is performed.

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