A method for controlling cold and hot standby operation states of a hydrogen production device in a hydrogen production system

Abstract

The present invention belongs to the field of electric power, and discloses a method for regulating the cold and hot standby operating states of a hydrogen production device in a hydrogen production system. The hydrogen production system adopted by the present invention is composed of wind power generation, photovoltaic power generation, energy storage batteries, and a hydrogen production device; there are multiple hydrogen production devices in the hydrogen production system, and each hydrogen production device has a power upper and lower limit; the cold and hot standby are cold standby and hot standby states of the hydrogen production device. The hydrogen production device does not produce hydrogen in the cold standby and hot standby states. The cold standby state has a lower power than the hot standby state, but the time required to switch to the hydrogen production state is longer than the hot standby state; the operating state regulation method is a method for calculating the power of the hydrogen production device and determining the cold standby state and the hot standby state. The operating state of the hydrogen production device at this moment is determined by predicting the power of the hydrogen production device at the next moment. The method of the present invention can accurately judge the operating state of the hydrogen production device, save power loss, and increase the economic benefits of the hydrogen production system.

Description

Technical Field

[0001] The present invention relates to the field of electric power, and in particular to a method for regulating and controlling the cold and hot standby operating states of a hydrogen production device in a hydrogen production system. Background Art

[0002] Hydrogen energy is a secondary energy source with the characteristics of low density, high thermal conductivity, wide existence, fast ignition, high storage density, no pollution, flexible configuration, and wide range of uses. As a strategic, efficient and clean energy, the industrial development of hydrogen energy has attracted the attention and attention of countries around the world. Countries around the world have formulated and issued a series of relevant policies and plans, clarified the roadmap for the development of the hydrogen energy industry, developed comprehensive utilization technologies for hydrogen energy, launched relevant demonstration application projects, and continuously improved the construction of supporting infrastructure such as hydrogen refueling stations. The Netherlands, Denmark, Germany and other countries have strengthened cooperation in the hydrogen energy industry and continuously promoted the development of the hydrogen energy industry. Developed countries such as Europe, the United States, and Japan have continuously increased their R&D investment and policy support. Hydrogen energy has developed rapidly in the fields of fixed power generation, communication base stations, backup power supplies, etc., and gradually accelerated the process of commercialization.

[0003] The status of the hydrogen production device can be divided into working state, cold standby state, hot standby state and shutdown state. When the equipment is in the cold standby state, only the power supply of the control unit and the antifreeze system components is maintained. It is in a low power consumption state and does not produce hydrogen. It takes about 20 minutes to switch to the working state; when the equipment is in the hot standby state, in addition to maintaining the power supply of the control unit and the antifreeze system components, it is also necessary to maintain the temperature and pressure. It is in a high power consumption state and does not produce hydrogen. The time to switch to the working state is very short and can be ignored. There are the following common problems in the research on the cold and hot standby discrimination of hydrogen production devices:

[0004] 1) In energy management, the power of a single hydrogen production device is usually divided equally by the total power of multiple hydrogen production devices, resulting in large power calculation deviations and inaccurate judgment of whether the hydrogen production device is in standby status;

[0005] 2) The hydrogen production device usually uses hot standby in the standby state. Long-term hot standby will cause waste of electricity in the hydrogen production system, affecting the system's hydrogen production and economic benefits. Summary of the invention

[0006] The present invention provides a method for regulating and controlling the cold and hot standby operating states of a hydrogen production device in a hydrogen production system, which is used for reasonably allocating power in the hydrogen production system and avoiding waste of electric energy.

[0007] In order to solve the above technical problems, the specific technical solutions adopted by the present invention are as follows:

[0008] In a first aspect, the present invention provides a method for regulating the cold and hot standby operating states of a hydrogen production device in a hydrogen production system. The cold and hot standby operating states of the hydrogen production device at the target time are determined by predicting the power of the hydrogen production device at the next moment of the target time. The cold and hot standby operating states include a cold standby state and a hot standby state. The power maintenance of the hydrogen production device in the cold standby state is lower than that of the equipment in the hot standby state, but the time required to switch from the cold standby state to the hydrogen production state is longer than the time required to switch from the hot standby state to the hydrogen production state.

[0009] The operating state control method comprises the following specific steps:

[0010] Step 1: Establish mathematical models of wind power generation module, photovoltaic power generation module and energy storage battery module in the hydrogen production system;

[0011] Step 2: Determine the constraints of the operation of the hydrogen production system;

[0012] Step 3: Determine the energy management objective function of the hydrogen production system, wherein the objective function includes one or both of the new energy consumption rate and the economic benefit;

[0013] Step 4: predict the total power of multiple hydrogen production devices at time T2, where time T2 is the next time after the target time;

[0014] Step 5: Based on the total power of multiple hydrogen production devices at time T2, predict the power of a single hydrogen production device at time T2. If the calculated result is lower than the lower limit of the power of the hydrogen production device, the hydrogen production device is in standby state at time T2;

[0015] Step 6: Based on the power of a single hydrogen production device at time T2, predict the power of a single hydrogen production device at time T1, where time T1 is the target time; if the calculated result is lower than the lower limit of the power of the hydrogen production device, the hydrogen production device is in standby state at time T1;

[0016] Step 7: If the hydrogen production device is in standby state at both T1 and T2, the hydrogen production device is in cold standby state at T1; if the power of the hydrogen production device is in standby state at T1 and the power of the hydrogen production device is not in standby state at T2, the hydrogen production device is in hot standby state at T1.

[0017] Furthermore, in step 1, the mathematical model of the wind power generation module is:

[0018]

[0019] Where ρ is the air density of the environment; R is the radius of the fan blade; v is the actual wind speed at the input site; C p is the coefficient of wind energy utilization of the system; θ is the pitch angle; λ is the tip speed ratio; λ i is the intermediate variable, P wiis the wind power output, in kW.

[0020] The mathematical model of the photovoltaic power generation module is:

[0021]

[0022] Where U m ,I M are the output voltage and current corresponding to when the photovoltaic array achieves maximum power; I S is the diode saturation current; V oc is the terminal voltage; P pv is the photovoltaic output, in kW; C1 and C2 are intermediate variables; U is the photovoltaic array output voltage, and I is the photovoltaic array output current.

[0023] The mathematical model of the energy storage battery module is:

[0024]

[0025] In the formula, SOC is the state of charge of the energy storage battery, P bt is the charge and discharge power, C bt Indicates the capacity of the energy storage battery, V bt is the charge and discharge voltage; m is the number of hours using the operation control method.

[0026] Furthermore, the constraints in step 2 include the following:

[0027]

[0028]

[0029]

[0030]

[0031]

[0032] Where P ac P is the charging and discharging power of the energy storage battery. A positive value indicates charging, and a negative value indicates discharging. The unit is kW. el is the operating power of the hydrogen production unit, in MW, P el (i) is the operating power of the i-th hydrogen production device, n is the number of hydrogen production devices; P wi For wind power output, P pv For photovoltaic power output, is the upper limit of wind power output, in kW, is the upper limit of photovoltaic power generation output, in kW, is the maximum power of the hydrogen production device, in kW, It is the upper limit of energy storage battery power, in kW.

[0033] Furthermore, in step 3, the new energy consumption rate is the proportion of wind power and photovoltaic power generation consumed by the system to the total power generation, and the calculation formula is as follows:

[0034]

[0035] In the formula, xnl is the consumption rate, the unit is %;

[0036] The economic benefit is the system's hydrogen sales revenue, calculated as follows:

[0037] E=V el C hy

[0038] Where, E is economic benefit, in yuan; C hy The unit price of hydrogen sold is RMB / Nm 3 ; V el is the amount of hydrogen produced, in Nm 3 .

[0039] Furthermore, step 4 specifically includes the following steps:

[0040] 4.1: Collect weather forecast data at the future T1 and T2 moments, including temperature, light, and wind speed information. T1 is the target moment, and T2 is the next moment after the target moment. The time difference between the current moment and T1 is the same as the time difference between T1 and T2.

[0041] 4.2: Calculate the state of charge of the energy storage battery at time T1;

[0042] 4.3: Determine the new energy consumption rate and economic benefits as the dual goals of the system;

[0043] 4.4: The relationship between the power of the hydrogen production device and the amount of hydrogen produced is selected from the following formula:

[0044] V el =205.31P el +17.85

[0045] Where V el is the amount of hydrogen produced, in Nm 3 ;P el The operating power of the hydrogen production device;

[0046] 4.5: Using the intensity Pareto evolutionary algorithm, the weather forecast data at time T1 and time T2 obtained in step 4.1, the state of charge of the energy storage battery at time T1 obtained in step 4.2, the objective function obtained in step 4.3, and the relationship between the power and hydrogen production of the hydrogen production device obtained in step 4.4 are used as inputs of the intensity Pareto evolutionary algorithm, and the total power of multiple hydrogen production devices at time T2 is taken as an unknown quantity to calculate the total power of multiple hydrogen production devices at time T2.

[0047] Furthermore, step 5 specifically includes the following steps:

[0048] 5.1: Determine economic benefit as the single goal.

[0049] 5.2: The relationship between the power of the hydrogen production device and the amount of hydrogen produced is selected from the following formula:

[0050] V el =-11.24P el 2 +232.7P el +8.89

[0051] 5.3: Using a genetic algorithm, take the objective function obtained in step 5.1, the relationship between the power of the hydrogen production device and the hydrogen production amount obtained in step 5.2, and the total power of multiple hydrogen production devices at time T2 obtained in step 4 as the input of the genetic algorithm, take the power of a single hydrogen production device at time T2 as an unknown quantity, and calculate the power of a single hydrogen production device at time T2.

[0052] Furthermore, step 6 specifically includes the following steps:

[0053] 6.1: Collect weather forecast data at time T1, including temperature, humidity, and wind speed information;

[0054] 6.2: Calculate the state of charge of the energy storage battery at time T1;

[0055] 6.3: Determine the new energy consumption rate and economic benefits as the dual goals of the system;

[0056] 6.4: The relationship between the power of the hydrogen production device and the amount of hydrogen produced is selected from the following formula:

[0057] V el =-11.24P el 2 +232.7P el +8.89

[0058] 6.5: Using the intensity Pareto evolutionary algorithm, the weather forecast data at time T1 obtained in step 6.1, the state of charge of the energy storage battery at time T1 obtained in step 6.2, the objective function obtained in step 6.3, the relationship between the power of the hydrogen production device and the hydrogen production amount obtained in step 6.3, and the power of a single hydrogen production device at time T2 obtained in step 5 are used as inputs of the intensity Pareto evolutionary algorithm, and the power of a single hydrogen production device at time T1 is taken as an unknown quantity to calculate the power of a single hydrogen production device at time T1.

[0059] In a second aspect, the present invention provides a device for controlling the cold and hot standby operation status of a hydrogen production device in a hydrogen production system, comprising:

[0060] A hydrogen production system mathematical model acquisition module, which is used to establish mathematical models of wind power generation module, photovoltaic power generation module, and energy storage battery module in the hydrogen production system; determine the constraints of the operation of the hydrogen production system and the energy management objective function, wherein the objective function includes one or both of the new energy consumption rate and economic benefits;

[0061] A total power prediction module is used to predict the total power of multiple hydrogen production devices at time T2, where time T2 is the next time after the target time;

[0062] A single power prediction module at time T2, which is used to predict the power of a single hydrogen production device at time T2 according to the total power of multiple hydrogen production devices at time T2. If the calculated result is lower than the lower limit of the power of the hydrogen production device, the hydrogen production device is in a standby state at time T2;

[0063] A single power prediction module at time T1, which is used to predict the power of a single hydrogen production device at time T1 according to the power of a single hydrogen production device at time T2, wherein time T1 is the target time; if the calculated result is lower than the lower limit of the power of the hydrogen production device, the hydrogen production device is in a standby state at time T1;

[0064] The cold and hot standby state identification module is used to determine the cold and hot standby state of the hydrogen production device at time T1. If the hydrogen production devices are both in standby state at time T1 and time T2, the hydrogen production device is in cold standby state at time T1; if the power of the hydrogen production device is in standby state at time T1 and the power of the hydrogen production device is not in standby state at time T2, the hydrogen production device is in hot standby state at time T1.

[0065] In a third aspect, the present invention provides a computer-readable storage medium, characterized in that a program is stored thereon, and when the program is executed by a processor, it is used to implement the above-mentioned method for controlling the cold and hot standby operating states of a hydrogen production device in a hydrogen production system.

[0066] Beneficial effects of the present invention: The method for regulating the cold and hot standby operating states of the hydrogen production device of the present invention takes the power of a single hydrogen production device as the solution object, has better calculation results, and can accurately judge the operating state of each hydrogen production device; by identifying the cold standby state of the hydrogen production device through the hydrogen production power, it can save electricity loss and increase the economic benefits of the hydrogen production system. BRIEF DESCRIPTION OF THE DRAWINGS

[0067] Figure 1 is a schematic structural diagram of a hydrogen production system shown in this embodiment;

[0068] Figure 2 1 is a schematic diagram of the identification process of the cold and hot standby states of the hydrogen production device shown in this embodiment;

[0069] Figure 3 It is the power curve of wind power generation and photovoltaic power generation;

[0070] Figure 4 It is the power curve of the hot standby hydrogen production device;

[0071] Figure 5 It is the power curve of the hydrogen production device using the cold and hot identification operation state control method;

[0072] Figure 6 It is the power curve of the hot standby system;

[0073] Figure 7 It is the system power curve using the hot and cold identification operating state control method;

[0074] Figure 8 It is the hot standby system index curve;

[0075] Fig. 9 It is a system index curve that adopts the cold and hot identification operation status control method. DETAILED DESCRIPTION

[0076] In order to better understand the purpose, structure and function of the present invention, the following is a further detailed description of a method for controlling the cold and hot standby operating states of a hydrogen production device in a hydrogen production system of the present invention in conjunction with the accompanying drawings.

[0077] like Figure 1As shown, the hydrogen production system adopted by the present invention is composed of a wind power generation module, a photovoltaic power generation module, an energy storage battery module, and a hydrogen production device; the hydrogen production device is a device for converting electrical energy into hydrogen energy. There are multiple hydrogen production devices in the hydrogen production system, and each hydrogen production device has an upper and lower power limit; the cold and hot standby of the hydrogen production device refers to the cold standby and hot standby states of the hydrogen production device. The hydrogen production device does not produce hydrogen in the cold standby and hot standby states. The cold standby state is less than the equipment in the hot standby state. However, the time required to switch from the cold standby state to the hydrogen production state is longer than that of the hot standby state; the cold and hot standby operating state control method of the hydrogen production device provided by the present invention is mainly a method for calculating the power of the hydrogen production device and determining the cold standby state and the hot standby state. The operating state of the hydrogen production device at this moment is determined by predicting the power of the hydrogen production device at the next moment.

[0078] The block diagram of the operation status control method is as follows: Figure 2 As shown, specifically:

[0079] Step 1: Establish mathematical models of wind power generation module, photovoltaic power generation module and energy storage battery module in the hydrogen production system.

[0080] Among them, the mathematical model of the wind power generation module is:

[0081]

[0082] Where ρ is the air density of the environment; R is the radius of the fan blade; v is the actual wind speed at the input site; C p is the coefficient of wind energy utilization of the system; θ is the pitch angle; λ is the tip speed ratio; λ i is the intermediate variable, P wi is the wind power output, in kW.

[0083] The mathematical model of the photovoltaic power generation module is:

[0084]

[0085] Where U m ,I M are the output voltage and current corresponding to when the photovoltaic array achieves maximum power; I S is the diode saturation current; V oc is the terminal voltage; P pv is the photovoltaic output, in kW; C1 and C2 are intermediate variables; U is the photovoltaic array output voltage, and I is the photovoltaic array output current.

[0086] The mathematical model of the energy storage battery module is:

[0087]

[0088] In the formula, SOC is the state of charge of the energy storage battery, P btis the charge and discharge power, C bt Indicates the capacity of the energy storage battery, V bt is the charge and discharge voltage; m is the number of hours using the operating status control method.

[0089] Step 2: Determine the constraints on the operation of the hydrogen production system.

[0090] Considering the system power balance, the total power of the electrolyzer should not exceed the total output of wind power generation, photovoltaic power generation, and energy storage battery modules, that is:

[0091]

[0092] Where P ac P is the charging and discharging power of the energy storage battery. A positive value indicates charging, and a negative value indicates discharging. The unit is kW. el is the operating power of the hydrogen production unit, in MW, P el (i) is the operating power of the i-th hydrogen production device, n is the number of hydrogen production devices; P wi For wind power output, P pv To produce photovoltaic power.

[0093] Considering the wind power generation constraints, the wind power generation module has a maximum output according to the capacity configuration, that is:

[0094]

[0095] In the formula, It is the upper limit of wind power output, in kW.

[0096] Considering the constraints of photovoltaic power generation, the photovoltaic power generation module has a maximum output according to the capacity configuration, that is:

[0097]

[0098] In the formula, It is the upper limit of photovoltaic power generation output, in kW.

[0099] Considering the operating power constraints of the hydrogen production device, the hydrogen production device has a safe power limit based on its operating characteristics, namely:

[0100]

[0101] In the formula, It is the maximum power of the hydrogen production device, in kW.

[0102] Considering the power constraints of energy storage batteries, there are power limits for charging and discharging of energy storage batteries according to capacity configuration, namely:

[0103]

[0104] In the formula, It is the upper limit of energy storage battery power, in kW.

[0105] Step 3: Determine the energy management objectives of the hydrogen production system.

[0106] In this embodiment, the energy management objectives include the new energy consumption rate and economic benefits; the new energy consumption rate is the proportion of wind power and photovoltaic power generation consumed by the system to the total power generation, and the calculation formula is as follows:

[0107]

[0108] In the formula, xnl is the consumption rate, the unit is %.

[0109] The economic benefit is the system's hydrogen sales revenue, calculated as follows:

[0110] E=V el C hy

[0111] Where, E is economic benefit, in yuan; C hy The unit price of hydrogen sold is RMB / Nm 3 ; V el is the amount of hydrogen produced, in Nm 3 .

[0112] Step 4: Predict the total power of multiple hydrogen production devices at time T2.

[0113] 4.1: Collect weather forecast data for the future T1 and T2, including temperature, light, and wind speed information. T1 is the target forecast time point, and the time difference between the current time and T1 is the same as the time difference between T1 and T2. For example, when forecasting in hours, assuming that the target forecast time point (T1) is 9 a.m. on the day and the current time is 8 a.m., then T2 is 10 a.m. on the day; if forecasting in days, assuming that the target forecast time point (T1) is 9 a.m. on the next day, then the current time is 9 a.m. and T2 is 9 a.m. on the third day. And so on.

[0114] 4.2: Calculate the state of charge of the energy storage battery at time T1.

[0115] The state of charge of the energy storage battery can be directly calculated using the mathematical model of the energy storage battery module.

[0116] 4.3: Determine the new energy consumption rate and economic benefits as the dual objectives of the system.

[0117] 4.4: The relationship between the power of the hydrogen production device and the amount of hydrogen produced is selected from the following formula:

[0118] V el =205.31Pel +17.85

[0119] Where V el is the amount of hydrogen produced, in Nm 3 ;P el It is the operating power of the hydrogen production device.

[0120] 4.5: Using the intensity Pareto evolutionary algorithm (SPEA2), the weather forecast data at time T1 and time T2 obtained in step 4.1, the state of charge of the energy storage battery at time T1 obtained in step 4.2, the objective function obtained in step 4.3, and the relationship between the power and hydrogen production of the hydrogen production device obtained in step 4.4 are used as inputs of SPEA2, and the total power of multiple hydrogen production devices at time T2 is taken as an unknown quantity to calculate the total power of multiple hydrogen production devices at time T2.

[0121] Step 5: Calculate the power of a single hydrogen production device at time T2.

[0122] 5.1: Determine economic benefit as the single goal.

[0123] 5.2: The relationship between the power of the hydrogen production device and the amount of hydrogen produced is selected from the following formula:

[0124] V el =-11.24P el 2 +232.7P el +8.89

[0125] 5.3: Use genetic algorithm (GA), take the objective function obtained in step 5.1, the relationship between the power of the hydrogen production device and the hydrogen production amount obtained in step 5.2, and the total power of multiple hydrogen production devices at time T2 obtained in step 4 as the input of GA, take the power of a single hydrogen production device at time T2 as the unknown quantity, and calculate the power of a single hydrogen production device at time T2.

[0126] If the calculated result is lower than the lower power limit of the hydrogen production device, the hydrogen production device is in standby mode at time T2.

[0127] Step 6: Calculate the power of a single hydrogen production device at time T1.

[0128] 6.1: Collect weather forecast data at time T1, including temperature, humidity, and wind speed information.

[0129] 6.2: Calculate the state of charge of the energy storage battery at time T1. The calculation result is the same as the calculation result in step 4.2 above, and will not be repeated here.

[0130] 6.3: Determine the new energy consumption rate and economic benefits as the dual objectives of the system.

[0131] 6.4: The relationship between the power of the hydrogen production device and the amount of hydrogen produced is selected from the following formula:

[0132] V el =-11.24P el 2 +232.7P el +8.89

[0133] 6.5: Using the intensity Pareto evolutionary algorithm (SPEA2), with the weather forecast data at time T1 obtained in step 6.1, the state of charge of the energy storage battery at time T1 obtained in step 6.2, the objective function obtained in step 6.3, the relationship between the power of the hydrogen production device and the hydrogen production amount obtained in step 6.3, and the power of a single hydrogen production device at time T2 obtained in step 5 as the input of SPEA2, the power of a single hydrogen production device at time T1 is taken as an unknown quantity, and the power of a single hydrogen production device at time T1 is calculated.

[0134] If the calculated result is lower than the lower power limit of the hydrogen production device, the hydrogen production device is in standby mode at time T1.

[0135] Step 7, combining the results of step 6 and step 7, determining the operating status of the hydrogen production device at time T1.

[0136] If the hydrogen production device is in standby state at both T1 and T2, the hydrogen production device is in cold standby state at T1; if the power of the hydrogen production device is in standby state at T1 and the power of the hydrogen production device is not in standby state at T2, the hydrogen production device is in hot standby state at T1.

[0137] In order to verify the effectiveness of the above-mentioned cold and hot standby operation state control method for hydrogen production device in distinguishing cold standby and hot standby states, in a specific implementation, the hydrogen production system is as follows: Figure 1 As shown in the figure, the wind power generation power limit of the system is 25MW, the photovoltaic power generation power limit is 10MW, the power of each of the four electrolyzers is designed to be 2.5MW, the lower limit of the safe power is 0.25MW, and the initial charge value of the energy storage battery is 0.2. In the SPEA2 algorithm, the population size is 100, the number of archives is 100, and the number of iterations is 200. The actual wind speed, light, and temperature in a certain area for 24 hours are used as the basis.

[0138] Hydrogen production system Figure 3 When wind power generation and photovoltaic power generation are insufficient from 0 to 9 o'clock, the hydrogen production equipment is in a continuous standby state, usually using hot standby, such as Figure 4 After the cold and hot standby identification operation state control method is introduced, the hydrogen production device is in the cold standby state from 0 to 8 o'clock, and the hot standby state is adopted at 9 o'clock, as shown in FIG. Figure 5 The operation state control method can significantly reduce the standby state support power provided by the energy storage unit to the hydrogen production device, such as Figure 6 , 7 As shown in points 0 to 9, the new energy consumption rates of the two are not much different. Figure 8 ,9 As shown, the effectiveness of the method proposed in the present invention is proved.

[0139] In this embodiment, a device for controlling the cold and hot standby operation state of a hydrogen production device in a hydrogen production system is also provided, and the device is used to implement the above embodiment. The terms "module", "unit", etc. used below can implement a combination of software and / or hardware for a predetermined function. Although the system described in the following embodiments is preferably implemented in software, it is also possible to implement hardware, or a combination of software and hardware.

[0140] This embodiment provides a device for controlling the cold and hot standby operation state of a hydrogen production device in a hydrogen production system, comprising:

[0141] A hydrogen production system mathematical model acquisition module, which is used to establish mathematical models of wind power generation module, photovoltaic power generation module, and energy storage battery module in the hydrogen production system; determine the constraints of the operation of the hydrogen production system and the energy management objective function, wherein the objective function includes one or both of the new energy consumption rate and economic benefits;

[0142] A total power prediction module is used to predict the total power of multiple hydrogen production devices at time T2, where time T2 is the next time after the target time;

[0143] A single power prediction module at time T2, which is used to predict the power of a single hydrogen production device at time T2 according to the total power of multiple hydrogen production devices at time T2. If the calculated result is lower than the lower limit of the power of the hydrogen production device, the hydrogen production device is in a standby state at time T2;

[0144] A single power prediction module at time T1, which is used to predict the power of a single hydrogen production device at time T1 according to the power of a single hydrogen production device at time T2, wherein time T1 is the target time; if the calculated result is lower than the lower limit of the power of the hydrogen production device, the hydrogen production device is in a standby state at time T1;

[0145] The cold and hot standby state identification module is used to determine the cold and hot standby state of the hydrogen production device at time T1. If the hydrogen production devices are both in standby state at time T1 and time T2, the hydrogen production device is in cold standby state at time T1; if the power of the hydrogen production device is in standby state at time T1 and the power of the hydrogen production device is not in standby state at time T2, the hydrogen production device is in hot standby state at time T1.

[0146] For the device embodiment, since it basically corresponds to the method embodiment, the relevant parts can be referred to the partial description of the method embodiment, and the implementation methods of the remaining modules are not repeated here. The device embodiment described above is only illustrative, wherein the modules described as separate components may or may not be physically separated, that is, they may be located in one place, or they may be distributed on multiple network units. A person of ordinary skill in the art can understand and implement it without paying creative labor.

[0147] The device embodiments of the present invention can be applied to any device with data processing capabilities, and the device with data processing capabilities can be a device or apparatus such as a computer. The device embodiments can be implemented by software, or by hardware or a combination of software and hardware. Taking software implementation as an example, as a device in a logical sense, the processor of any device with data processing capabilities reads the corresponding computer program instructions in the non-volatile memory into the memory and runs them.

[0148] An embodiment of the present invention further provides a computer-readable storage medium having a program stored thereon, which, when executed by a processor, is used to implement the above-mentioned method for controlling the cold and hot standby operating states of a hydrogen production device in a hydrogen production system.

[0149] The computer-readable storage medium may be an internal storage unit of any device with data processing capability described in any of the aforementioned embodiments, such as a hard disk or a memory. The computer-readable storage medium may also be an external storage device of any device with data processing capability, such as a plug-in hard disk, a smart media card (SMC), an SD card, a flash card, etc., equipped on the device.

[0150] It is to be understood that the present invention is described by some embodiments, and it is known to those skilled in the art that various changes or equivalent substitutions may be made to these features and embodiments without departing from the spirit and scope of the present invention. In addition, under the teachings of the present invention, these features and embodiments may be modified to adapt to specific circumstances and materials without departing from the spirit and scope of the present invention. Therefore, the present invention is not limited by the specific embodiments disclosed herein, and all embodiments falling within the scope of the claims of this application are within the scope of protection of the present invention.

Claims

1. A method for controlling the cold and hot standby operation status of a hydrogen production device in a hydrogen production system, characterized in that: By predicting the power of the hydrogen production device at the next moment of the target moment, determining the cold and hot standby operation state of the hydrogen production device at the target moment, the specific steps are as follows: Step 1: Establish mathematical models of wind power generation module, photovoltaic power generation module and energy storage battery module in the hydrogen production system; Step 2: Determine the constraints of the operation of the hydrogen production system; Step 3: Determine the energy management objective function of the hydrogen production system, wherein the objective function includes one or both of the new energy consumption rate and economic benefits; the new energy consumption rate is the proportion of wind power and photovoltaic power generation consumed by the system to the total power generation; Step 4: predict the total power of multiple hydrogen production devices at time T2, where time T2 is the next time after the target time; Step 5: Based on the total power of multiple hydrogen production devices at time T2, predict the power of a single hydrogen production device at time T2. If the calculated result is lower than the lower limit of the power of the hydrogen production device, the hydrogen production device is in standby state at time T2; Step 5 specifically includes the following steps: 5.1: Determine economic benefits as the single goal; 5.2: The relationship between the power of the hydrogen production device and the amount of hydrogen produced is selected from the following formula: IN el =-11.24P el 2 +232.7P el +8.89 Where V el is the amount of hydrogen produced; P el The operating power of the hydrogen production device; 5.3: Using a genetic algorithm, take the objective function obtained in step 5.1, the relationship between the power of the hydrogen production device and the hydrogen production amount obtained in step 5.2, and the total power of multiple hydrogen production devices at time T2 obtained in step 4 as the input of the genetic algorithm, take the power of a single hydrogen production device at time T2 as the unknown quantity, and calculate the power of a single hydrogen production device at time T2; Step 6: Based on the power of a single hydrogen production device at time T2, predict the power of a single hydrogen production device at time T1, where time T1 is the target time; if the calculated result is lower than the lower limit of the power of the hydrogen production device, the hydrogen production device is in standby state at time T1; Step 7: If the hydrogen production device is in standby state at both T1 and T2, the hydrogen production device is in cold standby state at T1; if the power of the hydrogen production device is in standby state at T1 and the power of the hydrogen production device is not in standby state at T2, the hydrogen production device is in hot standby state at T1.

2. The method for controlling the cold and hot standby operation status of a hydrogen production device in a hydrogen production system according to claim 1, characterized in that: In step 1, the mathematical model of the wind power generation module is: Where ρ is the air density of the environment; R is the radius of the fan blade; v is the actual wind speed at the input site; C p is the coefficient of wind energy utilization of the system; θ is the pitch angle; λ is the tip speed ratio; λ i is the intermediate variable, P wi is the wind power output, in kW; The mathematical model of the photovoltaic power generation module is: Where U m ,I M are the output voltage and current corresponding to when the photovoltaic array achieves maximum power; I S is the diode saturation current; V oc is the terminal voltage; P pv is the photovoltaic output, in kW; C1 and C2 are intermediate variables; U is the photovoltaic array output voltage, and I is the photovoltaic array output current; The mathematical model of the energy storage battery module is: In the formula, SOC is the state of charge of the energy storage battery, P bt is the charge and discharge power, C bt Indicates the capacity of the energy storage battery, V bt is the charge and discharge voltage; m is the number of hours using the operation control method.

3. The method for controlling the cold and hot standby operation status of a hydrogen production device in a hydrogen production system according to claim 1, characterized in that: The constraints in step 2 include the following: Where P ac P is the charging and discharging power of the energy storage battery. A positive value indicates charging, and a negative value indicates discharging. The unit is kW. el is the operating power of the hydrogen production unit, in MW, P el (i) is the operating power of the i-th hydrogen production device, n is the number of hydrogen production devices; P wi For wind power output, P pv For photovoltaic power output, is the upper limit of wind power output, in kW, is the upper limit of photovoltaic power generation output, in kW, is the maximum power of the hydrogen production device, in kW, It is the upper limit of energy storage battery power, in kW.

4. The method for controlling the cold and hot standby operation status of a hydrogen production device in a hydrogen production system according to claim 1, characterized in that: Step 4 specifically includes the following steps: 4.1: Collect weather forecast data at the future T1 and T2 moments, including temperature, light, and wind speed information. T1 is the target moment, and T2 is the next moment after the target moment. The time difference between the current moment and T1 is the same as the time difference between T1 and T2. 4.2: Calculate the state of charge of the energy storage battery at time T1; 4.3: Determine the new energy consumption rate and economic benefits as the dual goals of the system; 4.4: The relationship between the power of the hydrogen production device and the amount of hydrogen produced is selected from the following formula: V el =205.31P el +17.85 Where V el is the amount of hydrogen produced, in Nm 3 ;P el The operating power of the hydrogen production device; 4.5: Using the intensity Pareto evolutionary algorithm, the weather forecast data at time T1 and time T2 obtained in step 4.1, the state of charge of the energy storage battery at time T1 obtained in step 4.2, the objective function obtained in step 4.3, and the relationship between the power and hydrogen production of the hydrogen production device obtained in step 4.4 are used as inputs of the intensity Pareto evolutionary algorithm, and the total power of multiple hydrogen production devices at time T2 is taken as an unknown quantity to calculate the total power of multiple hydrogen production devices at time T2.

5. The method for controlling the cold and hot standby operation status of a hydrogen production device in a hydrogen production system according to claim 1, characterized in that: Step 6 specifically includes the following steps: 6.1: Collect weather forecast data at time T1, including temperature, humidity, and wind speed information; 6.2: Calculate the state of charge of the energy storage battery at time T1; 6.3: Determine the new energy consumption rate and economic benefits as the dual goals of the system; 6.4: The relationship between the power of the hydrogen production device and the amount of hydrogen produced is selected from the following formula: IN el =-11.24P el 2 +232.7P el +8.89 6.5: Using the intensity Pareto evolutionary algorithm, the weather forecast data at time T1 obtained in step 6.1, the state of charge of the energy storage battery at time T1 obtained in step 6.2, the objective function obtained in step 6.3, the relationship between the power of the hydrogen production device and the hydrogen production amount obtained in step 6.3, and the power of a single hydrogen production device at time T2 obtained in step 5 are used as inputs of the intensity Pareto evolutionary algorithm, and the power of a single hydrogen production device at time T1 is taken as an unknown quantity to calculate the power of a single hydrogen production device at time T1.

6. A device for controlling the cold and hot standby operation status of a hydrogen production device in a hydrogen production system, characterized in that: include: A hydrogen production system mathematical model acquisition module is used to establish mathematical models of wind power generation module, photovoltaic power generation module and energy storage battery module in the hydrogen production system; determine the constraints of the operation of the hydrogen production system and the energy management objective function, wherein the objective function includes one or both of the new energy consumption rate and economic benefits; the new energy consumption rate is the proportion of wind power generation and photovoltaic power generation consumed by the system to the total power generation; A total power prediction module is used to predict the total power of multiple hydrogen production devices at time T2, where time T2 is the next time after the target time; The single power prediction module at time T2 is used to predict the power of a single hydrogen production device at time T2 based on the total power of multiple hydrogen production devices at time T2, specifically including: determining the relationship between the power of the hydrogen production device and the hydrogen production amount with economic benefits as the single goal: V el =-11.24P el 2 +232.7P el +8.89; where V el is the amount of hydrogen produced; P el is the operating power of the hydrogen production device; a genetic algorithm is used, with the objective function, the relationship between the power of the hydrogen production device and the hydrogen production amount, and the total power of multiple hydrogen production devices at time T2 as the input of the genetic algorithm, and the power of a single hydrogen production device at time T2 is taken as an unknown quantity to calculate the power of a single hydrogen production device at time T2; if the calculated result is lower than the lower limit of the power of the hydrogen production device, the hydrogen production device is in a standby state at time T2; A single power prediction module at time T1, which is used to predict the power of a single hydrogen production device at time T1 according to the power of a single hydrogen production device at time T2, wherein time T1 is the target time; if the calculated result is lower than the lower limit of the power of the hydrogen production device, the hydrogen production device is in a standby state at time T1; The cold and hot standby state identification module is used to determine the cold and hot standby state of the hydrogen production device at time T1. If the hydrogen production devices are both in standby state at time T1 and time T2, the hydrogen production device is in cold standby state at time T1; if the power of the hydrogen production device is in standby state at time T1 and the power of the hydrogen production device is not in standby state at time T2, the hydrogen production device is in hot standby state at time T1.

7. A computer-readable storage medium, characterized in that: A program is stored thereon, and when the program is executed by the processor, it is used to implement the method for controlling the cold and hot standby operating states of a hydrogen production device in a hydrogen production system as described in any one of claims 1-5.

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