Scheduling method and device for hydrogen production electrolytic cell array of new energy hydrogen production system

Abstract

The invention relates to a scheduling method and device for a hydrogen production electrolytic cell array of a new energy hydrogen production system. The new energy hydrogen production system comprises new energy power generation equipment and a hydrogen production electrolytic cell array, the scheduling method comprises the following steps: on the basis of a day-ahead declared electric quantity curve, a day-ahead predicted electric energy price sequence, an intra-day electric quantity curve, a real-time electric energy price sequence, a hydrogen price coefficient, electric energy consumed by each liter of hydrogen generated by an electrolytic bath, and a day-ahead predicted electric quantity curve of new energy power generation equipment, performing scheduling on the basis of a day-ahead declared electric quantity curve; an objective function of the day-ahead electrolytic cell array start-stop state optimization model is determined, and the objective function represents the intraday total income of the new energy hydrogen production system; and based on the target function, determining the start-stop state of each electrolytic cell included in the hydrogen production electrolytic cell array in each preset time period of the next day, and correspondingly controlling the start-stop of each electrolytic cell according to the determined start-stop state.

Description

Technical Field

[0001] The present disclosure relates to the technical field of new energy hydrogen production, and more particularly, to a scheduling method and device for a hydrogen production electrolytic cell array of a new energy hydrogen production system. Background Art

[0002] New energy hydrogen production is restricted by the constraint that the electrolytic cell requires a stable input power. Usually, when new energy is scarce, electricity is purchased from the power grid or an energy storage system, a fuel cell system, etc. is used to supply power to the electrolytic cell array. Therefore, a reasonable scheduling strategy needs to be designed to ensure the stable operation of the system.

[0003] Generally, for the scheduling problem of the hydrogen production electrolytic cell array, the main problems to be solved are the stable and economic scheduling problems of the hydrogen production electrolytic cell array in an off-grid or grid-connected microgrid under the traditional power grid mode. The optimization goal is to improve the new energy consumption rate and hydrogen production efficiency in the microgrid and ensure the stable operation of the electrolytic cell array. For such problems, an optimal scheduling mathematical model is constructed according to their respective scheduling goals, and a mathematical or intelligent optimization method is used to solve the optimal scheduling model, thereby forming a core scheduling strategy. Moreover, when solving the microgrid scheduling problem including a hydrogen production system in the electricity market, the hydrogen production system is usually regarded as a whole, an optimization model is formulated and solved in combination with the scheduling goal, and then a scheduling plan is formulated for the hydrogen production system. Summary of the Invention

[0004] The present disclosure provides a scheduling method and device for a hydrogen production electrolytic cell array of a new energy hydrogen production system, a computing system, and a computer-readable storage medium.

[0005] According to an aspect of the present disclosure, there is provided a scheduling method for a hydrogen production electrolytic cell array of a new energy hydrogen production system, the new energy hydrogen production system including new energy power generation equipment and a hydrogen production electrolytic cell array, the scheduling method including: determining an objective function of an on-day electrolytic cell array start-stop state optimization model based on a day-ahead declared power consumption curve, a day-ahead predicted electricity price sequence, an in-day power consumption curve, a real-time electricity price sequence, a hydrogen price coefficient, the electricity consumed by the electrolytic cell to produce one liter of hydrogen, and a day-ahead predicted power generation curve of the new energy power generation equipment, wherein the objective function represents the total in-day revenue of the new energy hydrogen production system; based on the objective function, determining the start-stop states of each electrolytic cell included in the hydrogen production electrolytic cell array at each predetermined time period of the next day, and controlling the start and stop of each electrolytic cell accordingly according to the determined start-stop states.

[0006] Optionally, the step of determining the objective function includes: determining the day-ahead electricity energy market revenue based on the day-ahead declared electricity quantity curve and the day-ahead predicted electricity energy price sequence; determining the real-time electricity energy market revenue based on the intra-day electricity quantity curve, the day-ahead declared electricity quantity curve, the day-ahead predicted electricity quantity curve of the new energy power generation equipment, and the real-time electricity energy price sequence; determining the hydrogen sales revenue based on the hydrogen price coefficient, the electric energy consumed by the electrolyzer to produce one liter of hydrogen, the day-ahead declared electricity quantity curve, and the predicted electricity quantity curve of the new energy power generation equipment; and determining the sum of the day-ahead electricity energy market revenue, the real-time electricity energy market revenue, and the hydrogen sales revenue as the objective function.

[0007] Optionally, the step of determining the hydrogen sales revenue includes: determining the total electricity quantity sequence consumed by the hydrogen production electrolyzer array based on the day-ahead predicted electricity quantity curve of the new energy power generation equipment and the day-ahead declared electricity quantity curve; and determining the hydrogen sales revenue based on the hydrogen price coefficient, the electric energy consumed by the electrolyzer to produce one liter of hydrogen, and the total electricity quantity sequence consumed by the hydrogen production electrolyzer array.

[0008] Optionally, the scheduling method further includes: determining the day-ahead declared electricity quantity and the target operating power of the electrolyzer for each predetermined time period of the next day based on the hydrogen conversion electricity price, the day-ahead predicted electricity energy price sequence, the real-time electricity energy price sequence, the start-stop state of the hydrogen production electrolyzer array, and the electrolyzer input power limit.

[0009] Optionally, the step of determining the day-ahead declared electricity quantity for each predetermined time period of the next day includes: determining the maximum input power limit and the minimum input power limit of the new energy hydrogen production system based on the number of electrolyzers in the enabled state and the rated operating power of a single electrolyzer within the predetermined time period of the next day; determining the maximum electricity price for the predetermined time period of the next day as the larger value of the day-ahead electricity energy price and the real-time electricity energy price for the corresponding predetermined time period within the day; in response to the maximum electricity price being less than the product of the hydrogen conversion electricity price and a predetermined coefficient, determining the day-ahead declared electricity quantity for the predetermined time period of the next day as the difference between the day-ahead predicted electricity quantity of the new energy power generation equipment and the maximum input power limit for the predetermined time period of the next day; and in response to the maximum electricity price being greater than or equal to the product of the hydrogen conversion electricity price and the predetermined coefficient, determining the day-ahead declared electricity quantity for the predetermined time period of the next day as the difference between the predicted power generation for the predetermined time period of the next day and the minimum input power limit.

[0010] Optionally, the step of determining the target operating power of the electrolyzers for each scheduled time period of the next day includes: determining the day-ahead declared power curve for the next day based on the day-ahead declared power for each scheduled time period of the next day; determining the total power consumption sequence of the hydrogen production electrolyzer array for the next day based on the day-ahead predicted power curve and the day-ahead declared power curve of the new energy power generation equipment for the next day; and determining the target operating power of the electrolyzers for the scheduled time periods of the next day based on the total power consumption sequence of the hydrogen production electrolyzer array for the next day and the number of electrolyzers in the enabled state during the scheduled time periods of the next day.

[0011] Optionally, the scheduling method further includes: determining the maintenance month for each electrolyzer based on the ratio sequence of the predicted monthly average power generation of the new energy power generation equipment and the rated operating power of a single electrolyzer; and deactivating the corresponding electrolyzer during each maintenance month.

[0012] Optionally, the step of determining the maintenance month for each electrolyzer based on the ratio sequence of the predicted monthly average power generation of the new energy power generation equipment and the rated operating power of a single electrolyzer includes: determining the month corresponding to the minimum ratio in the ratio sequence of the predicted monthly average power generation of the new energy power generation equipment and the rated operating power of a single electrolyzer as the maintenance month for one of the multiple electrolyzers; increasing the minimum ratio by a predetermined value to obtain an updated ratio sequence; determining the month corresponding to the minimum ratio in the updated ratio sequence as the maintenance month for another electrolyzer among the multiple electrolyzers; and repeating the steps of obtaining the updated ratio sequence and determining the maintenance month based on the updated ratio sequence until the maintenance month has been determined for each of the multiple electrolyzers.

[0013] Optionally, the scheduling method further includes: determining the day-ahead predicted power of the new energy power generation equipment for each scheduled time period within the day based on the day-ahead predicted power curve of the new energy power generation equipment; determining the power deviation for each scheduled time period within the day based on the day-ahead predicted power and the within-day predicted power of the new energy power generation equipment for each scheduled time period within the day; and adjusting the operating power of the hydrogen production electrolyzer array for each scheduled time period within the day based on the power deviation.

[0014] Optionally, the step of adjusting the operating power of the hydrogen production electrolyzer array for each predetermined time period within a day based on the power deviation includes: determining the upper limit and lower limit of power adjustment for the hydrogen production electrolyzer array within a predetermined time period based on the number of electrolyzers in the enabled state within the predetermined time period, the input power limit of a single electrolyzer, and the target operating power of the electrolyzer; determining the upper limit and lower limit of power deviation based on the predicted power generation of the new energy power generation equipment within a day; in response to the power deviation being greater than the upper limit of power deviation and the lower limit of power adjustment being less than zero, setting the operating power of the hydrogen production electrolyzer array to the sum of the maximum value among the lower limit of power adjustment, the negative value of the upper limit of power deviation, and the negative value of the power deviation and the target operating power of the hydrogen production electrolyzer array, where the target operating power of the hydrogen production electrolyzer array is equal to the product of the number of electrolyzers in the enabled state within the predetermined time period and the target operating power of the electrolyzer corresponding to the predetermined time period; in response to the power deviation being greater than the upper limit of power deviation and the lower limit of power adjustment being greater than or equal to zero, setting the operating power of the hydrogen production electrolyzer array to be equal to the target operating power of the hydrogen production electrolyzer array; in response to the power deviation being less than the lower limit of power deviation and the upper limit of power adjustment being greater than zero, setting the operating power of the hydrogen production electrolyzer array to the sum of the minimum value among the upper limit of power adjustment, the negative value of the lower limit of power deviation, and the negative value of the power deviation and the target operating power of the hydrogen production electrolyzer array; in response to the power deviation being less than the lower limit of power deviation and the upper limit of power adjustment being less than or equal to zero, setting the operating power of the hydrogen production electrolyzer array to be equal to the target operating power of the hydrogen production electrolyzer array; in response to the power deviation being less than or equal to the upper limit of power deviation and greater than or equal to the lower limit of power deviation, setting the operating power of the hydrogen production electrolyzer array to be equal to the target operating power of the hydrogen production electrolyzer array.

[0015] According to one aspect of the present disclosure, there is provided a scheduling device for a hydrogen production electrolyzer array of a new energy hydrogen production system. The new energy hydrogen production system includes a new energy power generation device and a hydrogen production electrolyzer array. The scheduling device includes: an objective function determination unit that determines an objective function of a day-ahead electrolyzer array start-stop state optimization model based on a day-ahead declared power curve, a day-ahead predicted electricity price sequence, an intra-day power curve, a real-time electricity price sequence, a hydrogen price coefficient, the electric energy consumed by the electrolyzer to produce one liter of hydrogen, and a day-ahead predicted power generation curve of the new energy power generation device, where the objective function represents the total intra-day revenue of the new energy hydrogen production system; a start-stop state determination unit that determines the start-stop state of each electrolyzer included in the hydrogen production electrolyzer array for each predetermined time period of the next day based on the objective function, and controls the start and stop of each electrolyzer accordingly based on the determined start-stop state.

[0016] Optionally, the objective function determination unit is configured to: determine the day-ahead electricity energy market revenue based on the day-ahead declared electricity quantity curve and the day-ahead predicted electricity energy price sequence; determine the real-time electricity energy market revenue based on the intra-day electricity quantity curve, the day-ahead declared electricity quantity curve, the day-ahead predicted electricity quantity curve of the new energy power generation equipment, and the real-time electricity energy price sequence; determine the hydrogen sales revenue based on the hydrogen price coefficient, the electric energy consumed per liter of hydrogen generated by the electrolyzer, the day-ahead declared electricity quantity curve, and the predicted electricity quantity curve of the new energy power generation equipment; and determine the sum of the day-ahead electricity energy market revenue, the real-time electricity energy market revenue, and the hydrogen sales revenue as the objective function.

[0017] Optionally, the objective function determination unit is configured to: determine the total electricity quantity sequence consumed by the hydrogen production electrolyzer array based on the day-ahead predicted electricity quantity curve and the day-ahead declared electricity quantity curve of the new energy power generation equipment; and determine the hydrogen sales revenue based on the hydrogen price coefficient, the electric energy consumed per liter of hydrogen generated by the electrolyzer, and the total electricity quantity sequence consumed by the hydrogen production electrolyzer array.

[0018] Optionally, the scheduling device further includes a day-ahead declared electricity quantity and target operating power determination unit, which is configured to determine the day-ahead declared electricity quantity for each predetermined time period of the next day and the target operating power of the electrolyzer based on the hydrogen conversion electricity price, the day-ahead predicted electricity energy price sequence, the real-time electricity energy price sequence, the start-stop state of the hydrogen production electrolyzer array, and the electrolyzer input power limit.

[0019] Optionally, the day-ahead declared electricity quantity and target operating power determination unit is configured to: determine the maximum input power limit and the minimum input power limit of the new energy hydrogen production system based on the number of electrolyzers in the enabled state within the predetermined time period of the next day and the rated operating power of a single electrolyzer; determine the maximum electricity price for the predetermined time period of the next day as the larger value of the day-ahead electricity energy price and the real-time electricity energy price for the corresponding predetermined time period within the day; in response to the maximum electricity price being less than the product of the hydrogen conversion electricity price and a predetermined coefficient, determine the day-ahead declared electricity quantity for the predetermined time period of the next day as the difference between the day-ahead predicted electricity quantity of the new energy power generation equipment for the predetermined time period of the next day and the maximum input power limit; and in response to the maximum electricity price being greater than or equal to the product of the hydrogen conversion electricity price and a predetermined coefficient, determine the day-ahead declared electricity quantity for the predetermined time period of the next day as the difference between the predicted power generation quantity for the predetermined time period of the next day and the minimum input power limit.

[0020] Optionally, the day-ahead declared power and target operating power determination unit is configured to: determine a day-ahead declared power curve for the next day based on the day-ahead declared power for each predetermined time period of the next day; determine a total power consumption sequence consumed by the hydrogen production electrolyzer array for the next day based on the day-ahead predicted power curve and the day-ahead declared power curve of the new energy power generation equipment for the next day; and determine the target operating power of the electrolyzers for the predetermined time periods of the next day based on the total power consumption sequence consumed by the hydrogen production electrolyzer array for the next day and the number of electrolyzers in the enabled state within the predetermined time periods of the next day.

[0021] Optionally, the scheduling device further includes a maintenance month determination unit, which is configured to: determine the maintenance month for each electrolyzer based on the ratio sequence of the predicted monthly average power generation of the new energy power generation equipment and the rated operating power of a single electrolyzer; and deactivate the corresponding electrolyzer during each maintenance month.

[0022] Optionally, the maintenance month determination unit is configured to: determine the month corresponding to the minimum ratio in the ratio sequence of the predicted monthly average power generation of the new energy power generation equipment and the rated operating power of a single electrolyzer as the maintenance month for one of the multiple electrolyzers; increase the minimum ratio by a predetermined value to obtain an updated ratio sequence; determine the month corresponding to the minimum ratio in the updated ratio sequence as the maintenance month for another electrolyzer among the multiple electrolyzers; and repeat the steps of obtaining the updated ratio sequence and determining the maintenance month based on the updated ratio sequence until the maintenance month has been determined for each of the multiple electrolyzers.

[0023] Optionally, the scheduling device further includes a power adjustment unit, which is configured to: determine the day-ahead predicted power of the new energy power generation equipment for each predetermined time period within the day based on the day-ahead predicted power curve of the new energy power generation equipment; determine the power deviation for each predetermined time period within the day based on the day-ahead predicted power and the in-day predicted power of the new energy power generation equipment for each predetermined time period within the day; and adjust the operating power of the hydrogen production electrolyzer array for each predetermined time period within the day based on the power deviation.

[0024] Optionally, the power adjustment unit is configured to: determine the upper and lower limits of power adjustment of the hydrogen production electrolyzer array within a predetermined time period based on the number of electrolyzers in the enabled state within the predetermined time period, the input power limit of a single electrolyzer, and the target operating power of the electrolyzer; determine the upper and lower limits of power deviation based on the predicted daily power generation of the new energy power generation device; in response to the power deviation being greater than the upper limit of power deviation and the lower limit of power adjustment being less than zero, set the operating power of the hydrogen production electrolyzer array to the sum of the maximum value among the lower limit of power adjustment, the negative value of the upper limit of power deviation, and the negative value of the power deviation and the target operating power of the hydrogen production electrolyzer array, where the target operating power of the hydrogen production electrolyzer array is equal to the product of the number of electrolyzers in the enabled state within the predetermined time period and the target operating power of the corresponding electrolyzer within the predetermined time period; in response to the power deviation being greater than the upper limit of power deviation and the lower limit of power adjustment being greater than or equal to zero, set the operating power of the hydrogen production electrolyzer array to be equal to the target operating power of the hydrogen production electrolyzer array; in response to the power deviation being less than the lower limit of power deviation and the upper limit of power adjustment being greater than zero, set the operating power of the hydrogen production electrolyzer array to the sum of the minimum value among the upper limit of power adjustment, the negative value of the lower limit of power deviation, and the negative value of the power deviation and the target operating power of the hydrogen production electrolyzer array; in response to the power deviation being less than the lower limit of power deviation and the upper limit of power adjustment being less than or equal to zero, set the operating power of the hydrogen production electrolyzer array to be equal to the target operating power of the hydrogen production electrolyzer array; in response to the power deviation being less than or equal to the upper limit of power deviation and greater than or equal to the lower limit of power deviation, set the operating power of the hydrogen production electrolyzer array to be equal to the target operating power of the hydrogen production electrolyzer array.

[0025] According to another aspect of the present disclosure, there is provided a computing system including at least one computing device and at least one storage device storing instructions, wherein when the instructions are run by the at least one computing device, the at least one computing device is caused to execute the scheduling method of the hydrogen production electrolyzer array of the new energy hydrogen production system as described above.

[0026] According to still another aspect of the present disclosure, there is provided a computer-readable storage medium storing instructions, wherein when the instructions are run by at least one computing device, the at least one computing device is caused to execute the scheduling method of the hydrogen production electrolyzer array of the new energy hydrogen production system as described above.

[0027] By adopting the present disclosure, the economic benefits of the new energy hydrogen production system can be effectively improved, while ensuring that the hydrogen production electrolyzers do not start and stop frequently, and effectively extending the service life of the hydrogen production electrolyzers. Description of the Drawings

[0028] By describing the embodiments in conjunction with the drawings below, the above and / or other objects and advantages of the present disclosure will become clearer, where:

[0029] Figure 1 is a schematic diagram showing a multi-time scale scheduling strategy of a new energy hydrogen production system according to an exemplary embodiment of the present disclosure;

[0030] Figure 2 is a flowchart showing a scheduling method for a hydrogen production electrolyzer array of a new energy hydrogen production system according to an exemplary embodiment of the present disclosure;

[0031] Figure 3 is a flowchart showing an annual maintenance strategy for a hydrogen production electrolyzer array of a new energy hydrogen production system according to an exemplary embodiment of the present disclosure;

[0032] Figure 4 is a flowchart showing a method for determining the day-ahead declared electricity quantity and the target operating power of an electrolyzer according to an exemplary embodiment of the present disclosure;

[0033] Figure 5 is a flowchart showing a method for solving an optimization model of the start-stop state of a day-ahead electrolyzer array according to an exemplary embodiment of the present disclosure;

[0034] Figure 6 is a flowchart showing a method for real-time adjustment of the operating power of an electrolyzer according to an exemplary embodiment of the present disclosure;

[0035] Figure 7 is a curve graph showing the predicted monthly average power and the actual monthly average power of a wind farm;

[0036] Figure 8 is a curve graph showing the power sequence obtained by adopting a maintenance scheduling strategy according to the prior art and the power sequence obtained by adopting a maintenance scheduling strategy according to an exemplary embodiment of the present disclosure;

[0037] Figure 9 is a curve graph of a predicted electricity price time series according to an example of the present disclosure;

[0038] Figure 10 is a curve graph of a power time series according to an example of the present disclosure;

[0039] Figure 11 is a curve graph of the input power time series of each electrolyzer according to an example of the present disclosure;

[0040] Figure 12 shows a block diagram of a scheduling device for a hydrogen production electrolyzer array of a new energy hydrogen production system according to an exemplary embodiment of the present disclosure;

[0041] Figure 13 is a block diagram of a computing system including at least one computing device and at least one storage device storing instructions according to an exemplary embodiment of the present disclosure. Detailed implementation manners

[0042] The following provides a description of specific embodiments in conjunction with the accompanying drawings to assist the reader in obtaining a comprehensive understanding of the methods, apparatuses, and / or systems described herein. However, after understanding the disclosure of the present application, various changes, modifications, and equivalents of the methods, apparatuses, and / or systems described herein will be apparent. For example, the order of operations described herein is merely exemplary and is not limited to those set forth herein, but rather may be changed as will be apparent after understanding the disclosure of the present application, except for operations that must occur in a specific order. In addition, descriptions of features known in the art may be omitted for greater clarity and conciseness.

[0043] The trading strategies of power generation enterprises participating in the market have a great impact on the economic benefits of the enterprises. The existing dispatching strategies regard the price of the electrical energy interacting with the main power grid as a constant standard electricity price, while the electricity price in the power market fluctuates greatly. In the case of adopting a dispatching strategy formulated according to the standard electricity price, when the market electricity price is higher than the standard electricity price, the economic benefits of the dispatching strategy will be reduced due to the increase in the purchase cost caused by the increase in the price of purchased electricity or the decrease in the revenue from selling electricity due to the decrease in the sold electricity volume; when the market electricity price is lower than the standard electricity price, the opportunity of low electricity price cannot be captured in time to turn to the power grid to purchase electricity to increase its own revenue. In summary, the existing dispatching strategies do not consider the change of the market electricity price, resulting in a reduction in economic benefits in the power market. In addition, to ensure the safe operation of the new energy hydrogen production system, the hydrogen production electrolyzer array needs to be overhauled every year. Since the overhaul time is relatively long and there are obvious differences in the power generation of the new energy power station each month within a year, reasonably arranging the overhaul according to the power generation capacity can increase the economic benefits of the entire system, but the existing technology does not consider the problem of formulating the overhaul plan of the hydrogen production electrolyzer array according to the power generation capacity.

[0044] The new energy hydrogen production system includes new energy power generation equipment (for example, wind power generation equipment, photovoltaic power generation equipment, or a combination thereof) and a hydrogen production electrolyzer array (for example, an alkaline electrolyzer array or a proton exchange membrane (PEM) electrolyzer array), and is integrally connected to the main power grid and can conduct power purchase and sale transactions. Considering the influence of market electricity price fluctuations, the dispatching strategy of the new energy hydrogen production system according to the present disclosure formulates the work plan of the electrolyzer array and the day-ahead declaration plan for the entire system to participate in the power market according to the predicted electricity price, so as to improve the economic benefits of the entire new energy hydrogen production system. In addition, in order to improve the economic benefits of the entire new energy hydrogen production system on a long time scale, in the present disclosure, the overhaul plan of the electrolyzer array is formulated according to the predicted value of the average monthly power generation power of the new energy, so as to improve the utilization rate of the new energy. In addition, in order to reduce the assessment cost of the short-term power prediction of the new energy hydrogen production system, the present disclosure proposes a real-time electrolyzer working power dispatching strategy. The above three dispatching strategies constitute a multi-time scale dispatching strategy for the electrolyzer array in the new energy hydrogen production system under the power market.

[0045] Figure 1 It is a schematic diagram showing the multi - time - scale scheduling strategy of a new - energy hydrogen - production system according to an exemplary embodiment of the present disclosure.

[0046] As Figure 1 shown, the multi - time - scale scheduling strategy of the new - energy hydrogen - production system according to an exemplary embodiment of the present disclosure consists of three levels of sub - scheduling strategies, namely the annual maintenance scheduling strategy, the day - ahead electrolyzer array start - stop scheduling strategy, and the real - time electrolyzer operating power scheduling strategy. In the example, the annual maintenance scheduling strategy runs once at the beginning of January each year. With the goal of maximizing the new - energy utilization rate, it determines the maintenance months of each electrolyzer according to the predicted monthly average power generation of new energy. The day - ahead electrolyzer array start - stop state scheduling strategy runs daily. With the goal of maximizing the combined revenue of the new - energy hydrogen - production system, it formulates the start - stop state and operating power schedule of each electrolyzer according to the electrolyzer operating state constraints, the predicted spot electricity price, and the predicted day - ahead power generation of new energy, and generates the day - ahead electric - energy exchange plan between the new - energy hydrogen - production system and the main power grid. The real - time electrolyzer operating power scheduling strategy runs every 15 minutes. With the goal of reducing the short - term power prediction error of the new - energy hydrogen - production system, it determines the final operating power of each electrolyzer and generates the intra - day electric - energy exchange plan between the new - energy hydrogen - production system and the main power grid. The day - ahead electrolyzer array start - stop scheduling strategy formulates the start - stop state of the electrolyzer array, the operating power of each electrolyzer, and the declared electricity quantity in the day - ahead market according to the predicted day - ahead and real - time electricity prices and the new - energy power generation. The main strategy is jointly composed of a day - ahead electrolyzer array start - stop state optimization model, an electrolyzer array power optimization strategy, and a solution algorithm for the start - stop state optimization model.

[0047] Figure 2 It is a flowchart showing the scheduling method of the hydrogen - production electrolyzer array of a new - energy hydrogen - production system according to an exemplary embodiment of the present disclosure, where the new - energy hydrogen - production system includes new - energy power - generation equipment and a hydrogen - production electrolyzer array.

[0048] As Figure 2 shown, in step S201, based on the day - ahead declared electricity - quantity curve, the day - ahead predicted electricity - energy price sequence, the intra - day electricity - quantity curve, the real - time electricity - energy price sequence, the hydrogen - price coefficient, the electric energy consumed by the electrolyzer to produce each liter of hydrogen, and the day - ahead predicted electricity - quantity curve of the new - energy power - generation equipment, the objective function of the day - ahead electrolyzer array start - stop state optimization model is determined, where the objective function represents the total intra - day revenue of the new - energy hydrogen - production system.

[0049] In the example, based on the daily reported electricity quantity curve and the daily predicted electricity energy price sequence, the daily electricity energy market revenue is determined; based on the intraday electricity quantity curve, the daily reported electricity quantity curve, the daily predicted electricity quantity curve of the new energy power generation equipment, and the real-time electricity energy price sequence, the real-time electricity energy market revenue is determined; based on the hydrogen price coefficient, the electric energy consumed per liter of hydrogen generated by the electrolyzer, the daily reported electricity quantity curve, and the predicted electricity quantity curve of the new energy power generation equipment, the hydrogen sales revenue is determined; the sum of the daily electricity energy market revenue, the real-time electricity energy market revenue, and the hydrogen sales revenue is determined as the objective function.

[0050] In the example, based on the daily predicted electricity quantity curve of the new energy power generation equipment and the daily reported electricity quantity curve, the total electricity quantity sequence consumed by the hydrogen production electrolyzer array is determined; based on the hydrogen price coefficient, the electric energy consumed per liter of hydrogen generated by the electrolyzer, and the total electricity quantity sequence consumed by the electrolyzer array, the hydrogen sales revenue is determined.

[0051] For example, the combined revenue of the new energy hydrogen production system in the spot market and the hydrogen production market can be expressed as the following formula (1):

[0052] R 总 =R 日前 +R 实时 +R 氢 (1)

[0053] Wherein, R 总 is the total revenue, R 日前 is the daily electricity energy market revenue, R 实时 is the real-time electricity energy market revenue, R 氢 is the system hydrogen sales revenue or hydrogen sales revenue. Each part of the revenue can be calculated through formulas (2) to (4):

[0054] R 日前 =P 日前 .Q 日前 (2)

[0055] R 实时 =P 实时 .Q 实时 (3)

[0056] R 氢 =P 氢 .sum(Q 氢 )*1000 / Q 单位电耗 (4)

[0057] Wherein, P 日前 , P 实时 are the daily and real-time electricity energy market price sequences every 15 minutes intraday, with the unit of ￥ / MW.h, P 氢 is the price coefficient of the volume of hydrogen under standard conditions, with the unit of ￥ / L, Q 单位电耗It is the electric energy consumed by the electrolyzer to produce one liter of hydrogen under standard conditions, with the unit of kw.h / L. Q 日前 、Q 实时 、Q 氢 are the electric energy sequences of each market every 15 minutes within a day. The relationship among the three is as follows:

[0058] Q 日前 =Q 申报 (5)

[0059] Q 实时 =Q 实际 -Q 氢 -Q 申报 (6)

[0060] Among them, Q 申报 is the 96-point electric energy curve declared by the new energy hydrogen production system in the day-ahead market, and Q 实际 is the 96-point electric energy curve of the new energy within the day in the system. To sum up, the total revenue of the system is summarized as follows:

[0061] R 总 =Q 申报 ·P 日前 +(Q 实际 -Q 申报 -Q 氢 )·P 实时 +P 氢 ·sum(Q 氢 )*1000 / Q 单位电耗 (7)

[0062] The optimization objective of the day-ahead electrolyzer array start-stop state optimization model is to maximize the combined revenue of the new energy hydrogen production system in the spot market and the hydrogen production market. The constraint condition is the shortest start-stop time constraint of the hydrogen production electrolyzer. The optimization model can be divided into two layers. The upper layer optimizes the start-stop state of each electrolyzer, and the lower layer optimizes the working power of each electrolyzer and generates the declared power sequence of the new energy hydrogen production system in the day-ahead market. The upper layer uses an optimization algorithm to determine the start-stop state, and the lower layer uses a fixed strategy to determine the power distribution. In the example, the total revenue of the system under different electrolyzer start-stop states can be calculated using the day-ahead electricity price, real-time electricity price, and predicted value of new energy power generation. The optimization objective is to maximize the total revenue of the new energy hydrogen production system, and based on this, the start-stop state of the electrolyzer is determined. The electrolyzer array power optimization strategy determines the working power of each electrolyzer and the day-ahead declared power curve.

[0063] The objective function of the optimization model is as follows.

[0064] R 总 =max(Q 申报 ·P 日前 +(Q 实际 -Q 申报 -Q氢 )·P 实时 +P 氢 ·sum(Q 氢 )*1000 / Q 单位电耗 ) (8)

[0065] Among them, Q 预测 is the power sequence for short-term prediction (e.g., the power sequence for day-ahead prediction), Q 申报 and Q 氢 are the results of the electrolyzer array power optimization strategy, and this strategy can be expressed as the following formula:

[0066] Q 申报 = f(P 日前 , P 实时 , Q 预测 , S 电解槽 ) (9)

[0067] Q 氢 = Q 预测 - Q 申报 (10)

[0068] Among them, S 电解槽 is the start-stop state table of each electrolyzer specified by the start-stop state optimization model. Assuming there are N electrolyzers, then S 电解槽 is a 96×N two-dimensional 0,1 matrix.

[0069] The constraint of the optimization model is the shortest start-stop time constraint of the electrolyzer, as follows:

[0070]

[0071]

[0072] Among them, is the continuous operation or shutdown time of the jth electrolyzer in the tth period, which can be calculated according to the S 电解槽 matrix, and T omin and T cmin are the shortest start-up and shutdown times of the electrolyzer.

[0073] The decision variable of the optimization model is the start-stop state S 电解槽 of each electrolyzer in 96 periods (96×N), where 0 indicates that the electrolyzer is shut down and 1 represents that the electrolyzer is started up, as follows:

[0074]

[0075] In step S202, based on the objective function, determine the start-stop states of each electrolyzer in the electrolyzer array for each predetermined time period of the next day, and accordingly control the start and stop of each electrolyzer. Thereby, the economic benefit of the entire system can be improved.

[0076] In the example, the scheduling method of the hydrogen production electrolyzer array of the new energy hydrogen production system according to the present disclosure further includes: determining the day-ahead declared power and the target operating power of the electrolyzer for each predetermined time period of the next day based on the hydrogen conversion electricity price, the day-ahead predicted electricity price sequence, the real-time electricity price sequence, the start-stop state of the electrolyzer array, and the electrolyzer input power limit. For example, based on the number of electrolyzers in the enabled state during the predetermined time period of the next day and the rated operating power of a single electrolyzer, determine the maximum input power limit and the minimum input power limit of the hydrogen production system (for example, the maximum input power limit and the minimum input power limit of the hydrogen production system can be set to the product of the number of electrolyzers in the enabled state and the rated operating power of a single electrolyzer and the product of the product and a predetermined coefficient (for example, 0.1)); determine the maximum electricity price for the predetermined time period of the next day as the larger value of the day-ahead electricity price and the real-time electricity price for the corresponding predetermined time period within the day; in response to the maximum electricity price being less than the product of the hydrogen conversion electricity price and a predetermined coefficient (for example, 0.9), determine the day-ahead declared power for the predetermined time period of the next day as the difference between the day-ahead predicted power of the new energy power generation equipment and the maximum input power limit for the predetermined time period of the next day; in response to the maximum electricity price being greater than or equal to the product of the hydrogen conversion electricity price and a predetermined coefficient (for example, 0.9), determine the day-ahead declared power for the predetermined time period of the next day as the difference between the predicted power generation for the predetermined time period of the next day and the minimum input power limit. For example, based on the day-ahead declared power for each predetermined time period of the next day, determine the day-ahead declared power curve for the next day; based on the day-ahead predicted power curve of the new energy power generation equipment and the day-ahead declared power curve for the next day, determine the total power consumption sequence of the electrolyzer array for the next day; based on the total power consumption sequence of the electrolyzer array for the next day and the number of electrolyzers in the enabled state during the predetermined time period of the next day, determine the target operating power of the electrolyzer for the predetermined time period of the next day. For an example of the process of the method for determining the day-ahead declared power and the target operating power of the electrolyzer according to the exemplary embodiment of the present disclosure, reference may be specifically made to Figure 4 the content described.

[0077] In the example, the scheduling method for the hydrogen production electrolyzer array of the new energy hydrogen production system according to the present disclosure further includes: determining the maintenance month of each electrolyzer based on the ratio sequence of the predicted monthly average power generation of the new energy power generation equipment and the rated operating power of a single electrolyzer; during each maintenance month, deactivate the corresponding electrolyzer. For example, determining the month corresponding to the minimum ratio in the ratio sequence of the predicted monthly average power generation of the new energy power generation equipment and the rated operating power of a single electrolyzer as the maintenance month of one of the multiple electrolyzers; increasing the minimum ratio by a predetermined value (for example, 1, 2, or other values) to obtain an updated ratio sequence; determining the month corresponding to the minimum ratio in the updated ratio sequence as the maintenance month of another electrolyzer among the multiple electrolyzers; repeating the steps of obtaining the updated ratio sequence and determining the maintenance month based on the updated ratio sequence until the maintenance month has been determined for each of the multiple electrolyzers. Thereby, the utilization rate of new energy power generation can be improved. For an example of the process of the annual maintenance strategy for the hydrogen production electrolyzer array of the new energy hydrogen production system according to an exemplary embodiment of the present disclosure, reference may be specifically made to Figure 3 the content described.

[0078] In the example, the scheduling method of the hydrogen production electrolyzer array of the new energy hydrogen production system according to the present disclosure further includes: determining the predicted power of the new energy power generation equipment for each predetermined time period within the day based on the predicted daily power curve of the new energy power generation equipment; determining the power deviation for each predetermined time period within the day based on the predicted daily power of the new energy power generation equipment for each predetermined time period within the day and the predicted power within the day; and adjusting the working power of the electrolyzer array for each predetermined time period within the day based on the power deviation. For example, based on the number of electrolyzers in the enabled state within a predetermined time period, the input power limit of a single electrolyzer, and the target working power of the electrolyzer, determine the upper limit and lower limit of power adjustment for the electrolyzer array within the predetermined time period (for example, the working power range of a single electrolyzer is 0.1 times to the rated power of a single electrolyzer, multiplying the working power range of a single electrolyzer by the number of electrolyzers in the on state can obtain the working power range (c, d) of the electrolyzer array, and then calculate the lower limit of power adjustment a and the upper limit of power adjustment b according to the working power f of the electrolyzer array determined in advance, where a = c - f, b = d - f); determining the upper limit and lower limit of power deviation based on the predicted power within the day of the new energy power generation equipment (for example, the upper limit of power deviation is equal to the product of the predicted power within the day of the new energy power generation equipment and 0.2, and the lower limit of power deviation is equal to the product of the predicted power within the day of the new energy power generation equipment and -0.2); in response to the power deviation being greater than the upper limit of power deviation and the lower limit of power adjustment being less than zero, setting the working power of the electrolyzer array to the sum of the maximum value among the lower limit of power adjustment, the opposite of the upper limit of power deviation, and the opposite of the power deviation and the target working power of the electrolyzer array, where the target working power of the electrolyzer array is equal to the product of the number of electrolyzers in the enabled state within the predetermined time period and the target working power of the electrolyzer for the corresponding predetermined time period; in response to the power deviation being greater than the upper limit of power deviation and the lower limit of power adjustment being greater than or equal to zero, setting the working power of the electrolyzer array to be equal to the target working power of the electrolyzer array; in response to the power deviation being less than the lower limit of power deviation and the upper limit of power adjustment being greater than zero, setting the working power of the electrolyzer array to the sum of the minimum value among the upper limit of power adjustment, the opposite of the lower limit of power deviation, and the opposite of the power deviation and the target working power of the electrolyzer array; in response to the power deviation being less than the lower limit of power deviation and the upper limit of power adjustment being less than or equal to zero, setting the working power of the electrolyzer array to be equal to the target working power of the electrolyzer array; in response to the power deviation being less than or equal to the upper limit of power deviation and greater than or equal to the lower limit of power deviation, setting the working power of the electrolyzer array to be equal to the target working power of the electrolyzer array. Thereby, the short-term power prediction assessment cost of the new energy hydrogen production system can be reduced. For an example of the process of the method for solving the optimization model of the start-stop state of the electrolyzer array for the day ahead according to the exemplary embodiment of the present disclosure, reference may be specifically made to Figure 6 the content described.

[0079] By adopting the scheduling method of the hydrogen production electrolyzer array of the new energy hydrogen production system according to the present disclosure, the economic benefits of the new energy hydrogen production system can be effectively improved, while ensuring that the hydrogen production electrolyzers do not start and stop frequently, and effectively extending the service life of the hydrogen production electrolyzers.

[0080] Figure 3 It is a flowchart showing the annual maintenance strategy of the hydrogen production electrolyzer array of the new energy hydrogen production system according to an exemplary embodiment of the present disclosure.

[0081] As Figure 3 shown, in step S301, a ratio sequence of the predicted monthly average power generation of the new energy power generation equipment and the rated working power of a single electrolyzer is determined. For example, Pi (i ∈ [1, 2,... 12]) is the predicted value of the monthly average power generation of the new energy in the system, Prated is the rated power generation of a single electrolyzer, and the predicted value of the monthly average power generation of each month is divided by the rated working power of a single electrolyzer to obtain a ratio sequence Ki (i ∈ [1, 2,... 12]) with a length of 12, where Ki = Pi / Prated.

[0082] Next, based on the determined ratio sequence, the maintenance month of each electrolyzer is determined, and during each maintenance month, the corresponding electrolyzer is deactivated.

[0083] In step S302, j representing the number of the electrolyzer is set to be equal to 1. In step S303, it is determined whether j is less than the number N of electrolyzers. If it is determined in step S303 that j is less than the number N of electrolyzers, then in step S304, the month corresponding to the minimum ratio in the ratio sequence of the predicted monthly average power generation of the new energy power generation equipment and the rated working power of a single electrolyzer (when there are multiple identical minimum values, one minimum value is randomly selected from them) is determined as the maintenance month of the jth electrolyzer. Then, in step S305, j is set to be equal to j + 1, and in step S306, the current minimum ratio is increased by a predetermined value (for example, 1, 2 or other values) to obtain an updated ratio sequence. After step S306, return to step S303 and re-determine whether the updated value of j is less than N. If the updated value of j is still less than N, repeat step S304 to determine the month corresponding to the minimum ratio in the updated ratio sequence as the maintenance month of another electrolyzer among multiple electrolyzers. Repeat the steps of obtaining the updated ratio sequence and determining the maintenance month based on the updated ratio sequence until the maintenance month has been determined for each of the multiple electrolyzers (that is, it is determined in step S303 that j is not less than N, indicating that the maintenance months of N electrolyzers have been completed). If it is determined in step S303 that j is not less than N, then proceed to step S307 to output the maintenance plan for N electrolyzers.

[0084] The annual maintenance scheduling strategy according to the present disclosure determines the maintenance month of each electrolyzer in the electrolyzer array based on the predicted monthly average power generation of new energy in the system to maximize the utilization rate of new energy power generation.

[0085] Figure 4 It is a flowchart showing a method for determining the daily declared electricity quantity and the target operating power of an electrolyzer according to an exemplary embodiment of the present disclosure.

[0086] The power optimization strategy determines the operating power and the daily declared electricity quantity curve of each electrolyzer according to the relative relationship between the converted electricity prices in the electric energy market and the hydrogen market, the start-stop states of each electrolyzer, and the input power limit of the electrolyzer.

[0087] First, calculate the converted price of electricity per megawatt-hour in the hydrogen market based on the hydrogen price and the specific electricity consumption of hydrogen per unit volume of the electrolyzer to obtain the converted electricity price in the hydrogen market, as follows:

[0088]

[0089] Among them, P 氢折算 is the converted price of electricity per megawatt-hour in the hydrogen market (￥ / MW.h), P 氢 is the selling price of hydrogen per kg, 0.5 is the reciprocal of the molar mass of hydrogen, V 标准 is the molar volume of the gas (22.4L / mol), Q 单位电耗 is the electricity consumption of the electrolyzer for generating each liter of hydrogen under standard conditions (4.3kw.h / L). If the current green hydrogen market price is 18.14 (￥ / kg), then P 氢折算 is 376.66 (￥ / MW.h), that is, the converted market price of electricity per megawatt-hour in the hydrogen market is 376.66 ￥.

[0090] Secondly, determine the operating power of each electrolyzer every 15 minutes within the day and the daily declared electricity quantity for this period according to the converted electricity price of hydrogen, the predicted electricity prices for the day-ahead and real-time, the start-stop states of the electrolyzers, and the input power limit of the electrolyzers, as Figure 4 shown.

[0091] In step S401, set t representing the number of the time period to 1. Taking a 15-minute duration as one time period, the time of a day includes 96 time periods. In step S402, determine whether t is less than or equal to 96, that is, judge whether the determination of the daily declared electricity quantity has been completed for all time periods. If it is determined in step S402 that t is less than or equal to 96, then proceed to step S403 to obtain the number N of electrolyzers in the enabled state within this time period. Next, in step S404, based on the number N of electrolyzers in the enabled state within a predetermined time period of the next day and the rated operating power Q 额定 of a single electrolyzer, determine the minimum input power limit Q min= N * Q 额定 * 0.1, and in step S405, determine the maximum input power limit Q of the hydrogen production system max = N * Q 额定 . In step S406, for the corresponding scheduled time period within a day, determine the larger value between the day-ahead electricity energy price P 日前，t and the real-time electricity energy price P 实时，t as the maximum electricity price P for the scheduled time period of the next day max，t . In step S407, determine whether the maximum electricity price P max，t is less than the product of the hydrogen-converted electricity price and a predetermined coefficient (e.g., 0.9). If it is determined in step S407 that the maximum electricity price P max，t is less than the product of the hydrogen-converted electricity price P 氢折算 and the predetermined coefficient (e.g., 0.9), then in step S408, determine the day-ahead declared electricity quantity Q 申，t for the scheduled time period of the next day as the difference between the day-ahead predicted electricity quantity Q 日前 of the new energy power generation equipment and the maximum input power limit Q max (i.e., Q 申，t = Q 日前 - Q max ). If it is determined in step S407 that the maximum electricity price P max，t is greater than or equal to the product of the hydrogen-converted electricity price P 氢折算 and the predetermined coefficient (e.g., 0.9), then in step S409, determine the day-ahead declared electricity quantity Q 申，t for the scheduled time period of the next day as the difference between the predicted power generation quantity Q 日前 and the minimum input power limit Qmin (i.e., Q 申，t = Q 日前 - Q min ). In step S410, set t to be equal to t + 1, and then return to step S402 to re-determine whether t is less than or equal to 96. If it is determined in step S402 that t is greater than 96 (i.e., it is determined that the determination of the day-ahead declared electricity quantity has been completed for all time periods), then in step S411, output the day-ahead declared electricity quantity curve Q 申 with a length of 96. Next, in step S412, use the predicted electricity quantity curve Q predict minus Q 申 to obtain the 96-point total electricity quantity sequence Q 氢 of the hydrogen production array, the power consumption during the corresponding period can be evenly distributed to the electrolyzers in the enabled state during the corresponding period to complete the power distribution. For example, based on the day-ahead declared power consumption for each predetermined time period of the next day, determine the day-ahead declared power consumption curve for the next day; based on the day-ahead predicted power generation curve and the day-ahead declared power consumption curve of the new energy power generation equipment for the next day, determine the total power consumption sequence consumed by the electrolyzer array for the next day; based on the total power consumption sequence consumed by the electrolyzer array for the next day and the number of electrolyzers in the enabled state during the predetermined time period of the next day, determine the target operating power of the electrolyzers for the predetermined time period of the next day.

[0092] By adopting the power optimization strategy according to the present disclosure, a day-ahead electric energy exchange plan between the new energy hydrogen production system and the main power grid can be generated, thereby effectively improving the economic benefits of the new energy hydrogen production system.

[0093] Figure 5 is a flowchart showing a method for solving the day-ahead electrolyzer array start-stop state optimization model according to an exemplary embodiment of the present disclosure.

[0094] In the example, the day-ahead electrolyzer array start-stop state optimization model contains a logical function and has a non-linear term, so the simulated annealing algorithm is used for solving. As Figure 5 shown, it is assumed that there are N electrolyzers in the electrolyzer array, and the optimization variable is a two-dimensional matrix S 电解槽 (96×N) (step S501). In step S502, expand the two-dimensional matrix S 电解槽 (96×N) into a one-dimensional vector X 电解槽 with a length of 96×N, and set it as a floating-point vector. The optimization space for each dimension is [0, 1.99]. In step S503, multiply the objective function of the day-ahead electrolyzer array start-stop state optimization model by -1 as the fitness value of the simulated annealing algorithm, and use the simulated annealing algorithm to optimize the minimum value. In step S504, when calculating the fitness function, round each dimension of X 电解槽 to obtain the start-stop state of the electrolyzer at this time period, and then obtain the start-stop state of each electrolyzer within each time period. Set the solutions that do not meet the shortest start-stop time constraint to positive infinity. After the iteration is completed, obtain the optimization result X result of the simulated annealing algorithm. In step S505, round and perform dimension conversion on X result to obtain S 电解槽 (96×N). In step S506, input it into the electrolyzer array power optimization strategy function, and in step S507, obtain the operating power of each electrolyzer and the declared power consumption in the day-ahead market.

[0095] In addition, it should be understood that Figure 5The solution method shown is only an example, and the scope of the present disclosure is not limited thereto. For example, other intelligent algorithms such as genetic algorithms can also be used to solve the day-ahead electrolyzer array start-stop state optimization model.

[0096] Figure 6 is a flowchart showing a method for real-time adjustment of the operating power of an electrolyzer according to an exemplary embodiment of the present disclosure. In the example, the real-time electrolyzer operating power scheduling strategy runs once every 15 minutes to reduce the short-term power prediction deviation of new energy during this period, thereby reducing the double-regulation assessment cost.

[0097] As Figure 6 shown, in step S601, the number of electrolyzers in the enabled state, the input power limit of a single electrolyzer, and the target operating power of the electrolyzer are obtained within a predetermined period. In steps S602 and S603, the day-ahead predicted power generation (i.e., Q 短期 ) and the in-day predicted power generation (e.g., the in-day predicted power generation of new energy in the future, such as four hours in advance) (i.e., Q 超短期 ) of the new energy power generation equipment for each predetermined period within the day are obtained respectively. For example, based on the day-ahead predicted power generation curve of the new energy power generation equipment, the day-ahead predicted power generation of the new energy power generation equipment for each predetermined period within the day can be determined. In step S604, based on the number of electrolyzers in the enabled state, the input power limit of a single electrolyzer, and the target operating power of the electrolyzer within a predetermined period, the upper power adjustment limit b and the lower power adjustment limit a of the electrolyzer array within the predetermined period are determined (for example, the operating power range of a single electrolyzer is 0.1 times the rated power of a single electrolyzer to the rated power of a single electrolyzer. Multiplying the operating power range of a single electrolyzer by the number of electrolyzers in the on state can obtain the operating power range (c, d) of the electrolyzer array, and then the lower power adjustment limit a and the upper power adjustment limit b are calculated according to the day-ahead determined operating power f of the electrolyzer array, where a = c - f, b = d - f). In step S605, based on the day-ahead predicted power generation and the in-day predicted power generation of the new energy power generation equipment for each predetermined period within the day, the power deviation for each predetermined period within the day is determined (i.e., Q 偏差 = Q 短期 - Q 超短期 ).

[0098] Subsequently, in steps S606 to S613, the operating power of the electrolyzer array for each predetermined period within the day is adjusted based on the power deviation Q 偏差 . In the example, based on the in-day predicted power generation of the new energy power generation equipment, the upper power deviation limit gap a and the lower power deviation limit gap b(For example, the upper limit of power deviation is equal to the product of the predicted daily power generation of the new energy power generation equipment and 0.2, and the lower limit of power deviation is equal to the product of the predicted daily power generation of the new energy power generation equipment and -0.2). If the power deviation Q is determined in step S606 偏差 is greater than the upper limit of power deviation gap a and it is determined in step S607 that the lower limit of power adjustment a is less than zero, then in step S612, the operating power of the electrolyzer array is set to the sum of the maximum value among the lower limit of power adjustment, the opposite of the upper limit of power deviation, and the opposite of the power deviation and the target operating power of the electrolyzer array (i.e., Q 氢 = Q 氢 + max(a, -gap a , -Q 偏差 ), where the target operating power of the electrolyzer array is equal to the product of the number of electrolyzers in the enabled state within a predetermined time period and the target operating power of the corresponding electrolyzers in the predetermined time period. If the power deviation Q is determined in step S606 偏差 is greater than the upper limit of power deviation gap a and it is determined in step S607 that the lower limit of power adjustment a is greater than or equal to zero, then in step S608, the operating power of the electrolyzer array is set to be equal to the target operating power of the electrolyzer array, i.e., the original operating power remains unchanged. If the power deviation Q is determined in step S609 偏差 is less than the lower limit of power deviation gap b and it is determined in step S610 that the upper limit of power adjustment b is greater than zero, then in step S613, the operating power of the electrolyzer array is set to be equal to the sum of the minimum value among the upper limit of power adjustment, the opposite of the lower limit of power deviation, and the opposite of the power deviation and the target operating power of the electrolyzer array (i.e., Q 氢 = Q 氢 + min(b, -gap b , -Q 偏差 ). If the power deviation Q is determined in step S609 偏差 is less than the lower limit of power deviation gap b and the upper limit of power adjustment b is less than or equal to zero, then in step S611, the operating power of the electrolyzer array is set to be equal to the target operating power of the electrolyzer array, i.e., the original operating power remains unchanged. If the power deviation Q is determined in step S606 偏差 is less than or equal to the upper limit of power deviation gap a and the power deviation Q is determined in step S609 偏差 is greater than or equal to the lower limit of power deviation gap b , then in step S611, the operating power of the electrolyzer array is set to be equal to the target operating power of the electrolyzer array, i.e., the original operating power remains unchanged.

[0099] By adopting the method for real-time adjustment of the working power of the electrolyzer according to the exemplary embodiments of the present disclosure, the short-term power prediction assessment cost of the new energy hydrogen production system can be reduced.

[0100] Figure 7 It is a curve graph showing the predicted monthly average power and the actual monthly average power of a wind farm. Figure 8 It is a curve graph showing the power sequence obtained by adopting the maintenance scheduling strategy according to the prior art and the power sequence obtained by adopting the maintenance scheduling strategy according to the exemplary embodiments of the present disclosure.

[0101] In Figure 7 the predicted value and the actual value of the monthly average power generation of a certain wind farm are shown.

[0102] In the example, the hydrogen production electrolyzer array includes 12 hydrogen production electrolyzers with a rated input power of 3 MW. The number of electrolyzers to be maintained each month determined by adopting the maintenance scheduling strategy according to the exemplary embodiments of the present disclosure and the number of electrolyzers to be maintained each month determined by adopting the uniform maintenance scheduling strategy of the prior art (maintaining one electrolyzer each month) are shown in Table 1.

[0103] Table 1

[0104]

[0105] Both the uniform maintenance scheduling strategy and the maintenance scheduling strategy according to the exemplary embodiments of the present disclosure have achieved the maintenance of all electrolyzers, but the maximum capacity sequence of the electrolyzer array is as Figure 8 shown. Referring to Figure 8 and combining with Table 1, it can be seen that the maintenance scheduling strategy according to the exemplary embodiments of the present disclosure arranges a relatively large number of electrolyzers to be maintained in the small wind seasons of August and September, effectively reducing the non-consumable new energy power generation caused by the electrolyzer maintenance in the high wind months such as May, October, and December, thus effectively improving the energy utilization rate of the new energy hydrogen production system.

[0106] Figure 9 It is a curve graph of the predicted electricity price time series according to the example of the present disclosure. Figure 10 It is a curve graph of the power time series according to the example of the present disclosure. Figure 11 It is a curve graph of the input power time series of each electrolyzer according to the example of the present disclosure.

[0107] In the example, the predicted power, measured power, and electricity price data of a certain new energy hydrogen production system are selected. The hydrogen production electrolyzer array of this new energy hydrogen production system includes 3 electrolyzers with an input power of 2 MW. In this example, the day-ahead electrolyzer array start-stop scheduling strategy according to the present disclosure is adopted for scheduling, and the economic benefits are compared with the power sales priority strategy and the hydrogen production priority strategy.

[0108] In Figure 9 the predicted spot electricity price is shown. It can be seen that during the period from 08:00 to 15:00, the predicted spot electricity price is lower than the hydrogen conversion electricity price, and the electricity sales revenue during this period is lower than the revenue from selling hydrogen. Referring to Figure 10 , it can be seen that during the period from 08:00 to 15:00, the electrolyzer array operates at full power. At the same time, the reported power is the short-term predicted power of the new energy minus the working power of the electrolyzer array corresponding to the corresponding moment. When the prediction deviation is in a normal state, the comprehensive revenue of the new energy hydrogen production system in the electricity and hydrogen energy markets can be effectively improved.

[0109] Figure 11 shows the working power of each electrolyzer in the case of adopting the day-ahead electrolyzer array start-stop scheduling strategy according to the present disclosure. Referring to Figure 11 it can be seen that by adopting the day-ahead electrolyzer array start-stop scheduling strategy of the present disclosure, each electrolyzer can operate stably and does not start and stop frequently, thereby improving the service life of the hydrogen production electrolyzer.

[0110] After simulating the operation of the day-ahead electrolyzer array start-stop scheduling strategy according to the present disclosure with the hydrogen production priority strategy and the electricity sales priority strategy for one month, the average value of the combined revenue of electricity and hydrogen energy and the converted electricity price (daily average revenue / daily average electricity consumption) are shown in Table 2.

[0111] Table 2

[0112] Strategy according to the present disclosure Hydrogen production priority strategy Power sales priority strategy Average value of combined revenue 98373.3 94027.4 97872.7 Converted electricity price 383.3 366.4 381.4

[0113] From Table 2, it can be seen that the economic benefit in the case of adopting the day-ahead electrolyzer array start-stop scheduling strategy according to the present disclosure is better than that in the case of adopting the hydrogen production priority strategy and the electricity sales priority strategy, and the system revenue can be effectively improved.

[0114] In summary, the day-ahead electrolyzer array start-stop scheduling strategy according to the present disclosure can effectively improve the economic revenue of the new energy hydrogen production system, and at the same time can ensure that the hydrogen production electrolyzer is not started and stopped frequently, thereby effectively extending the service life of the hydrogen production electrolyzer.

[0115] Figure 12 shows a block diagram of a scheduling device for a hydrogen production electrolyzer array of a new energy hydrogen production system according to an exemplary embodiment of the present disclosure.

[0116] The new energy hydrogen production system includes new energy power generation equipment and a hydrogen production electrolyzer array. As Figure 12As shown, the scheduling device 1200 of the hydrogen production electrolyzer array of the new energy hydrogen production system according to an exemplary embodiment of the present disclosure includes: an objective function determination unit 1201, which determines the objective function of the day-ahead electrolyzer array start-stop state optimization model based on the day-ahead declared power curve, the day-ahead predicted electricity energy price sequence, the intraday power curve, the real-time electricity energy price sequence, the hydrogen price coefficient, the electricity energy consumed by the electrolyzer to produce one liter of hydrogen, and the day-ahead predicted power curve of the new energy power generation equipment, wherein the objective function represents the total intraday revenue of the new energy hydrogen production system; a start-stop state determination unit 1202, which determines the start-stop states of each electrolyzer included in the hydrogen production electrolyzer array for each predetermined time period of the next day based on the objective function, and controls the start and stop of each electrolyzer accordingly according to the determined start-stop states.

[0117] In the example, the objective function determination unit 1201 is configured to: determine the day-ahead electricity energy market revenue based on the day-ahead declared power curve and the day-ahead predicted electricity energy price sequence; determine the real-time electricity energy market revenue based on the intraday power curve, the day-ahead declared power curve, the day-ahead predicted power curve of the new energy power generation equipment, and the real-time electricity energy price sequence; determine the hydrogen sales revenue based on the hydrogen price coefficient, the electricity energy consumed by the electrolyzer to produce one liter of hydrogen, the day-ahead declared power curve, and the predicted power curve of the new energy power generation equipment; and determine the sum of the day-ahead electricity energy market revenue, the real-time electricity energy market revenue, and the hydrogen sales revenue as the objective function.

[0118] In the example, the objective function determination unit 1201 is configured to: determine the total power consumption sequence of the hydrogen production electrolyzer array based on the day-ahead predicted power curve of the new energy power generation equipment and the day-ahead declared power curve; and determine the hydrogen sales revenue based on the hydrogen price coefficient, the electricity energy consumed by the electrolyzer to produce one liter of hydrogen, and the total power consumption sequence of the hydrogen production electrolyzer array.

[0119] In the example, the scheduling device 1200 of the hydrogen production electrolyzer array of the new energy hydrogen production system further includes a day-ahead declared power and target working power determination unit, which is configured to determine the day-ahead declared power for each predetermined time period of the next day and the target working power of the electrolyzer based on the hydrogen conversion electricity price, the day-ahead predicted electricity energy price sequence, the real-time electricity energy price sequence, the start-stop state of the hydrogen production electrolyzer array, and the electrolyzer input power limit.

[0120] In the example, the day-ahead declared power and target operating power determination unit is configured to: determine the maximum input power limit and the minimum input power limit of the new energy hydrogen production system based on the number of electrolyzers in the enabled state within a predetermined time period of the next day and the rated operating power of a single electrolyzer; determine the maximum electricity price for the predetermined time period of the next day as the larger value between the day-ahead electricity price and the real-time electricity price for the corresponding predetermined time period within the day; in response to the maximum electricity price being less than the product of the hydrogen conversion electricity price and a predetermined coefficient, determine the day-ahead declared power for the predetermined time period of the next day as the difference between the day-ahead predicted power of the new energy power generation equipment for the predetermined time period of the next day and the maximum input power limit; in response to the maximum electricity price being greater than or equal to the product of the hydrogen conversion electricity price and a predetermined coefficient, determine the day-ahead declared power for the predetermined time period of the next day as the difference between the predicted power generation for the predetermined time period of the next day and the minimum input power limit.

[0121] In the example, the day-ahead declared power and target operating power determination unit is configured to: determine the day-ahead declared power curve for the next day based on the day-ahead declared power for each predetermined time period of the next day; determine the total power consumption sequence of the hydrogen production electrolyzer array for the next day based on the day-ahead predicted power curve and the day-ahead declared power curve of the new energy power generation equipment for the next day; determine the target operating power of the electrolyzers for the predetermined time period of the next day based on the total power consumption sequence of the hydrogen production electrolyzer array for the next day and the number of electrolyzers in the enabled state within the predetermined time period of the next day.

[0122] In the example, the scheduling device 1200 of the hydrogen production electrolyzer array of the new energy hydrogen production system further includes a maintenance month determination unit, and the maintenance month determination unit is configured to: determine the maintenance month of each electrolyzer based on the ratio sequence of the predicted monthly average power generation of the new energy power generation equipment and the rated operating power of a single electrolyzer; during each maintenance month, deactivate the corresponding electrolyzer.

[0123] In the example, the maintenance month determination unit is configured to: determine the month corresponding to the minimum ratio in the ratio sequence of the predicted monthly average power generation of the new energy power generation equipment and the rated operating power of a single electrolyzer as the maintenance month of one of the multiple electrolyzers; increase the minimum ratio by a predetermined value to obtain an updated ratio sequence; determine the month corresponding to the minimum ratio in the updated ratio sequence as the maintenance month of another electrolyzer among the multiple electrolyzers; repeat the steps of obtaining the updated ratio sequence and determining the maintenance month based on the updated ratio sequence until the maintenance month has been determined for each of the multiple electrolyzers.

[0124] In the example, the scheduling device 1200 of the hydrogen production electrolyzer array of the new energy hydrogen production system further includes a power adjustment unit, and the power adjustment unit is configured to: determine the predicted power of the new energy power generation equipment in each predetermined time period within the day based on the predicted power curve of the new energy power generation equipment for the day ahead; determine the power deviation in each predetermined time period within the day based on the predicted power of the new energy power generation equipment in each predetermined time period within the day and the predicted power within the day; and adjust the operating power of the hydrogen production electrolyzer array in each predetermined time period within the day based on the power deviation.

[0125] In the example, the power adjustment unit is configured to: determine the upper limit and lower limit of power adjustment of the hydrogen production electrolyzer array in a predetermined time period based on the number of electrolyzers in the enabled state within the predetermined time period, the input power limit of a single electrolyzer, and the target operating power of the electrolyzer; determine the upper limit and lower limit of power deviation based on the predicted power within the day of the new energy power generation equipment; in response to the power deviation being greater than the upper limit of power deviation and the lower limit of power adjustment being less than zero, set the operating power of the hydrogen production electrolyzer array to the sum of the maximum value among the lower limit of power adjustment, the opposite of the upper limit of power deviation, and the opposite of the power deviation and the target operating power of the hydrogen production electrolyzer array, where the target operating power of the hydrogen production electrolyzer array is equal to the product of the number of electrolyzers in the enabled state within the predetermined time period and the target operating power of the electrolyzer in the corresponding predetermined time period; in response to the power deviation being greater than the upper limit of power deviation and the lower limit of power adjustment being greater than or equal to zero, set the operating power of the hydrogen production electrolyzer array to be equal to the target operating power of the hydrogen production electrolyzer array; in response to the power deviation being less than the lower limit of power deviation and the upper limit of power adjustment being greater than zero, set the operating power of the hydrogen production electrolyzer array to the sum of the minimum value among the upper limit of power adjustment, the opposite of the lower limit of power deviation, and the opposite of the power deviation and the target operating power of the hydrogen production electrolyzer array; in response to the power deviation being less than the lower limit of power deviation and the upper limit of power adjustment being less than or equal to zero, set the operating power of the hydrogen production electrolyzer array to be equal to the target operating power of the hydrogen production electrolyzer array; in response to the power deviation being less than or equal to the upper limit of power deviation and greater than or equal to the lower limit of power deviation, set the operating power of the hydrogen production electrolyzer array to be equal to the target operating power of the hydrogen production electrolyzer array.

[0126] Combined above Figures 1 to 6 The specific operations shown Figure 12 are respectively executed by the corresponding units in the scheduling device 1200 of the hydrogen production electrolyzer array of the new energy hydrogen production system shown, and here, the specific operation details will not be elaborated.

[0127] Figure 13 is a block diagram showing a computing system including at least one computing device and at least one storage device storing instructions according to an exemplary embodiment of the present disclosure.

[0128] AsFigure 13 As shown, the computing system 1300 provided according to an exemplary embodiment of the present invention includes a computing device 1301 and a storage device 1302. Computer-executable instructions are stored in the storage device 1302. When the computer-executable instructions are executed by the computing device 1301, the scheduling method of the hydrogen production electrolytic cell array of the new energy hydrogen production system described in any of the foregoing embodiments is executed.

[0129] The computing device 1301 is deployed in a server or a client, or can also be deployed on a node device in a distributed network environment. In addition, the computing device 1301 can be a PC computer, a tablet device, a personal digital assistant, a smart phone, a web application, or other devices capable of executing the above instruction set. Here, the computing device does not have to be a single computing device, but can also be a collection of devices or circuits that can execute the above instructions (or instruction sets) individually or jointly. The computing device can also be a part of an integrated control system or a system manager, or can be configured as a portable electronic device that is interconnected with a local or remote (e.g., via wireless transmission) interface. In the computing device, the processor includes a central processing unit (CPU), a graphics processing unit (GPU), a programmable logic device, a dedicated processor system, a microcontroller, or a microprocessor. By way of example and not limitation, the processor also includes an analog processor, a digital processor, a microprocessor, a multi-core processor, a processor array, a network processor, etc.

[0130] According to another aspect of the present disclosure, a computer-readable storage medium storing instructions is provided. When the instructions are run by at least one computing device, the at least one computing device is caused to execute the scheduling method of the hydrogen production electrolytic cell array of the new energy hydrogen production system described in any of the foregoing embodiments. The computer-readable storage medium includes magnetic media such as floppy disks and magnetic tapes, optical media (including CD-ROMs and DVD-ROMs), magneto-optical media such as floppy optical disks, hardware devices such as ROM and RAM designed to store and execute program commands, and flash memories. The instructions can include language codes executable by a computer using an interpreter and machine language codes generated by a compiler.

[0131] By adopting the present disclosure, the economic benefits of the new energy hydrogen production system can be effectively improved, while ensuring that the hydrogen production electrolytic cell does not start and stop frequently, and effectively prolonging the service life of the hydrogen production electrolytic cell.

[0132] The processes, methods, or algorithms disclosed herein may be transferred to, or implemented by, a processing device, controller, or computer, which may include any existing programmable electronic control unit or a dedicated electronic control unit. Similarly, the processes, methods, or algorithms may be stored in various forms as data and instructions executable by a controller or computer, the various forms including but not limited to information being permanently stored on a non-writable storage medium (such as a ROM device) and information being variably stored on a writable storage medium (such as a floppy disk, magnetic tape, CD, RAM device, and other magnetic and optical media). The processes, methods, or algorithms may also be implemented in software-executable objects. Optionally, the processes, methods, or algorithms may be implemented in whole or in part using suitable hardware components (such as ASICs, FPGAs, state machines, controllers, or other hardware components or devices) or a combination of hardware components, software components, and firmware components.

[0133] Although the present disclosure includes specific examples, it will be apparent to those of ordinary skill in the art that various changes in form and detail may be made in these examples without departing from the spirit and scope of the claims and their equivalents. The examples described herein are to be considered in a descriptive sense only and not for purposes of limitation. The description of each feature or aspect in an example is to be considered applicable to similar features or aspects in other examples. Suitable results may be obtained if the described techniques are executed in a different order, and / or if components in the described systems, architectures, devices, or circuits are combined in a different manner and / or replaced or supplemented by other components or their equivalents. Accordingly, the scope of the present disclosure is not limited by the specific embodiments, but by the claims and their equivalents, and all variations within the scope of the claims and their equivalents are to be construed as being included in the present disclosure.

Claims

1. A scheduling method for a hydrogen production electrolyzer array of a new energy hydrogen production system, the new energy hydrogen production system comprising new energy power generation equipment and a hydrogen production electrolyzer array, characterized in that, The scheduling method includes: Based on the daily-ahead declared power curve, the daily-ahead predicted electricity energy price sequence, the intra-day power curve, the real-time electricity energy price sequence, the hydrogen price coefficient, the electric energy consumed by the electrolyzer to produce one liter of hydrogen, and the daily-ahead predicted power curve of the new energy power generation equipment, determine the objective function of the daily-ahead electrolyzer array start-stop state optimization model, where the objective function represents the total intra-day revenue of the new energy hydrogen production system; Based on the objective function, determine the start-stop states of each electrolyzer in the hydrogen production electrolyzer array for each predetermined time period of the next day, and perform corresponding control on the start and stop of each electrolyzer according to the determined start-stop states.

2. The scheduling method of the hydrogen production electrolytic cell array of the new energy hydrogen production system according to claim 1, characterized in that, The steps of determining the objective function include: Based on the daily-ahead declared power curve and the daily-ahead predicted electricity energy price sequence, determine the daily-ahead electricity energy market revenue; Based on the intra-day power curve, the daily-ahead declared power curve, the daily-ahead predicted power curve of the new energy power generation equipment, and the real-time electricity energy price sequence, determine the real-time electricity energy market revenue; Based on the hydrogen price coefficient, the electric energy consumed by the electrolyzer to produce one liter of hydrogen, the daily-ahead declared power curve, and the predicted power curve of the new energy power generation equipment, determine the hydrogen sales revenue; Determine the sum of the daily-ahead electricity energy market revenue, the real-time electricity energy market revenue, and the hydrogen sales revenue as the objective function.

3. The scheduling method of the hydrogen production electrolytic cell array of the new energy hydrogen production system according to claim 2, characterized in that, The steps of determining the hydrogen sales revenue include: Based on the daily-ahead predicted power curve of the new energy power generation equipment and the daily-ahead declared power curve, determine the total power consumption sequence of the hydrogen production electrolyzer array; Based on the hydrogen price coefficient, the electric energy consumed by the electrolyzer to produce one liter of hydrogen, and the total power consumption sequence of the hydrogen production electrolyzer array, determine the hydrogen sales revenue.

4. The scheduling method of the hydrogen production electrolytic cell array of the new energy hydrogen production system according to claim 1, wherein, The scheduling method further includes: Based on the hydrogen conversion electricity price, the daily-ahead predicted electricity energy price sequence, the real-time electricity energy price sequence, the start-stop state of the hydrogen production electrolyzer array, and the electrolyzer input power limit, determine the daily-ahead declared power and the target operating power of the electrolyzer for each predetermined time period of the next day.

5. The scheduling method of the hydrogen production electrolytic cell array of the new energy hydrogen production system according to claim 4, wherein, The steps of determining the daily-ahead declared power for each predetermined time period of the next day include: Based on the number of electrolyzers in the enabled state during the predetermined time period of the next day and the rated operating power of a single electrolyzer, determine the maximum input power limit and the minimum input power limit of the hydrogen production system; Determine the maximum electricity price for the predetermined time period of the next day as the larger value of the daily-ahead electricity energy price and the real-time electricity energy price for the corresponding predetermined time period within the day; In response to the maximum electricity price being less than the product of the hydrogen conversion electricity price and a predetermined coefficient, determine the daily-ahead declared power for the predetermined time period of the next day as the difference between the daily-ahead predicted power of the new energy power generation equipment for the predetermined time period of the next day and the maximum input power limit; In response to the maximum electricity price being greater than or equal to the product of the hydrogen conversion electricity price and a predetermined coefficient, determine the daily-ahead declared power for the predetermined time period of the next day as the difference between the predicted power generation for the predetermined time period of the next day and the minimum input power limit.

6. The scheduling method of the hydrogen production electrolyzer array of the new energy hydrogen production system according to claim 5, characterized in that, The steps of determining the target operating power of the electrolyzer for each predetermined time period of the next day include: Based on the daily-ahead declared power for each predetermined time period of the next day, determine the daily-ahead declared power curve for the next day; Based on the day-ahead predicted power curve and the day-ahead declared power curve of the new energy power generation equipment for the next day, determine the total power consumption sequence of the hydrogen production electrolyzer array for the next day; Based on the total power consumption sequence of the hydrogen production electrolyzer array for the next day and the number of electrolyzers in the enabled state within the predetermined time period for the next day, determine the target operating power of the electrolyzers for the predetermined time period of the next day.

7. The scheduling method of the hydrogen production electrolyzer array of the new energy hydrogen production system according to claim 1, characterized in that, The scheduling method further includes: Based on the ratio sequence of the predicted monthly average power generation of the new energy power generation equipment and the rated operating power of a single electrolyzer, determine the maintenance month for each electrolyzer; During each maintenance month, deactivate the corresponding electrolyzer.

8. The scheduling method of the hydrogen production electrolytic cell array of the new energy hydrogen production system according to claim 7, characterized in that, The step of determining the maintenance month for each electrolyzer based on the ratio sequence of the predicted monthly average power generation of the new energy power generation equipment and the rated operating power of a single electrolyzer includes: Determine the month corresponding to the minimum ratio in the ratio sequence of the predicted monthly average power generation of the new energy power generation equipment and the rated operating power of a single electrolyzer as the maintenance month for one of the multiple electrolyzers; Increase the minimum ratio by a predetermined value to obtain an updated ratio sequence; Determine the month corresponding to the minimum ratio in the updated ratio sequence as the maintenance month for another electrolyzer among the multiple electrolyzers; Repeat the steps of obtaining the updated ratio sequence and determining the maintenance month based on the updated ratio sequence until the maintenance month has been determined for each of the multiple electrolyzers.

9. The scheduling method of the hydrogen production electrolytic cell array of the new energy hydrogen production system according to any one of claims 4-6, characterized in that, The scheduling method further includes: Based on the day-ahead predicted power curve of the new energy power generation equipment, determine the day-ahead predicted power of the new energy power generation equipment for each predetermined time period within the day; Based on the day-ahead predicted power and the in-day predicted power of the new energy power generation equipment for each predetermined time period within the day, determine the power deviation for each predetermined time period within the day; Based on the power deviation, adjust the operating power of the hydrogen production electrolyzer array for each predetermined time period within the day.

10. The scheduling method of the hydrogen production electrolytic cell array of the new energy hydrogen production system according to claim 9, characterized in that, The step of adjusting the operating power of the hydrogen production electrolyzer array for each predetermined time period within the day based on the power deviation includes: Based on the number of electrolyzers in the enabled state within the predetermined time period, the input power limit of a single electrolyzer, and the target operating power of the electrolyzers, determine the upper power adjustment limit and the lower power adjustment limit of the hydrogen production electrolyzer array within the predetermined time period; Based on the in-day predicted power of the new energy power generation equipment, determine the upper power deviation limit and the lower power deviation limit; In response to the power deviation being greater than the upper power deviation limit and the lower power adjustment limit being less than zero, set the operating power of the hydrogen production electrolyzer array to the sum of the maximum value among the lower power adjustment limit, the negative value of the upper power deviation limit, and the negative value of the power deviation and the target operating power of the hydrogen production electrolyzer array, where the target operating power of the hydrogen production electrolyzer array is equal to the product of the number of electrolyzers in the enabled state within the predetermined time period and the target operating power of the electrolyzers for the corresponding predetermined time period; In response to the power deviation being greater than the upper power deviation limit and the lower power adjustment limit being greater than or equal to zero, set the operating power of the hydrogen production electrolyzer array to be equal to the target operating power of the hydrogen production electrolyzer array; In response to the power deviation being less than the lower limit of the power deviation and the upper limit of power regulation being greater than zero, set the operating power of the hydrogen production electrolyzer array to be equal to the sum of the minimum value among the upper limit of power regulation, the negative value of the lower limit of power deviation, and the negative value of the power deviation and the target operating power of the hydrogen production electrolyzer array; In response to the power deviation being less than the lower limit of the power deviation and the upper limit of power regulation being less than or equal to zero, set the operating power of the hydrogen production electrolyzer array to be equal to the target operating power of the hydrogen production electrolyzer array; In response to the power deviation being less than or equal to the upper limit of the power deviation and greater than or equal to the lower limit of the power deviation, set the operating power of the hydrogen production electrolyzer array to be equal to the target operating power of the hydrogen production electrolyzer array.

11. A scheduling device for a hydrogen production electrolyzer array of a new energy hydrogen production system, the new energy hydrogen production system comprising new energy power generation equipment and a hydrogen production electrolyzer array, characterized in that, The scheduling device includes: A target function determination unit that determines the target function of the day-ahead electrolyzer array start-stop state optimization model based on the day-ahead declared power curve, the day-ahead predicted electricity price sequence, the intra-day power curve, the real-time electricity price sequence, the hydrogen price coefficient, the electricity consumed per liter of hydrogen produced by the electrolyzer, and the day-ahead predicted power curve of the new energy power generation equipment, where the target function represents the total intra-day revenue of the new energy hydrogen production system; A start-stop state determination unit that determines the start-stop states of each electrolyzer included in the hydrogen production electrolyzer array for each predetermined time period of the next day based on the target function, and performs corresponding control on the start and stop of each electrolyzer according to the determined start-stop states.

12. A computing system comprising at least one computing device and at least one storage device storing instructions, characterized in that, When the instruction is run by the at least one computing device, it causes the at least one computing device to execute the scheduling method of the hydrogen production electrolyzer array of the new energy hydrogen production system according to any one of claims 1-10.

13. A computer-readable storage medium storing instructions, characterized in that, When the instruction is run by at least one computing device, it causes the at least one computing device to execute the scheduling method of the hydrogen production electrolyzer array of the new energy hydrogen production system according to any one of claims 1-10.

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