A control method and device for a hydrogen-electric integrated energy storage system based on photovoltaic power generation.

Abstract

This invention discloses a control method and device for a hydrogen-electric integrated energy storage system based on photovoltaic power generation. The method calculates the predicted proportion of photovoltaic power generation to electrical load based on photovoltaic power generation forecast data and load consumption forecast data. Then, based on the magnitude of the predicted proportion, it flexibly configures the charging and discharging state of the lithium battery, RSOC electrolysis mode, methanol synthesis mode, RSOC power generation mode, methanol reforming mode, and adsorption decarbonization mode to meet the power balance between supply and demand. This allows for reasonable coordinated control of the hydrogen-electric integrated energy storage system, reducing the frequency of power curtailment and shortage, improving the flexibility of system resource allocation, and solving the technical problems of high power curtailment and shortage frequency and poor system resource allocation flexibility in existing photovoltaic-based hydrogen-electric integrated energy storage systems.

Description

Technical Field

[0001] This invention relates to the field of hydrogen energy technology, and in particular to a control method and device for a hydrogen-electric integrated energy storage system based on photovoltaic power generation. Background Technology

[0002] Hydrogen energy is green, efficient, and has the characteristics of power-to-X energy exchange and connection of different types of energy. When combined with renewable energy systems, it can realize the mutual conversion of solar energy, hydrogen energy and methanol, effectively suppressing the intermittency and randomness of renewable energy power generation, and has great development prospects.

[0003] Currently, the planning and operation research of integrated hydrogen-electric energy systems has received widespread attention. Commonly used hydrogen-electric conversion technologies include alkaline electrolytic cell (AEC) hydrogen production, proton exchange membrane (PEM) technology, and reversible solid oxide cell (RSOC) technology. Existing photovoltaic-based integrated hydrogen-electric energy storage systems suffer from high frequencies of power curtailment and shortages, and their system resource allocation flexibility is poor. Summary of the Invention

[0004] This invention provides a control method and device for a hydrogen-electric integrated energy storage system based on photovoltaic power generation, which solves the technical problems of high frequency of power curtailment and power shortage in existing photovoltaic-based hydrogen-electric integrated energy storage systems and poor flexibility in system resource allocation.

[0005] In view of this, the first aspect of the present invention provides a control method for a hydrogen-electric integrated energy storage system based on photovoltaic power generation, comprising:

[0006] Based on weather forecast data and historical photovoltaic power generation data, hourly data predictions are made for photovoltaic power generation in the next 24 hours to obtain photovoltaic power generation forecast data. Based on historical electricity load data, hourly data predictions are made for electricity load in the next 24 hours to obtain electricity load forecast data.

[0007] Based on the photovoltaic power generation forecast data and the electricity load forecast data, calculate the predicted proportion of photovoltaic power generation to electricity load;

[0008] Determine if the predicted proportion is greater than 100%;

[0009] If the prediction ratio is greater than 100%, the surplus power is calculated based on the photovoltaic power generation prediction data and the electricity load prediction data, and the remaining power of the lithium battery is detected. If the remaining power of the lithium battery is greater than the first threshold, the RSOC electrolysis mode and methanol synthesis mode are activated, and the surplus power is used for liquid energy storage. If the remaining power of the lithium battery is not greater than the first threshold, the surplus power is used to charge the lithium battery.

[0010] If the predicted ratio is not greater than 100%, then it is determined whether the predicted ratio is greater than 50%. If the predicted ratio is greater than 50%, then the difference between the predicted power and the predicted power is calculated based on the photovoltaic power generation prediction data and the power load prediction data, and the remaining power of the lithium battery is detected. If the remaining power of the lithium battery is greater than the first threshold, then the load power response is achieved by discharging the lithium battery. If the predicted ratio is not greater than 50% or the remaining power of the lithium battery is not greater than the first threshold, then the RSOC power generation mode, methanol reforming mode and adsorption decarbonization mode are activated for supplementary power generation.

[0011] Optionally, it also includes:

[0012] Acquire real-time photovoltaic monitoring data and real-time electricity consumption monitoring data, and calculate the actual proportion of real-time photovoltaic power generation to real-time electricity load based on the real-time photovoltaic monitoring data and real-time electricity consumption monitoring data;

[0013] Determine if the actual proportion is greater than 100%;

[0014] If the actual ratio is greater than 100%, the deviation between the actual ratio and the predicted ratio is calculated. If the deviation is less than 0 and the lithium battery is not fully charged, the excess power is used to charge the lithium battery. If the deviation is less than 0 but the lithium battery is fully charged, or if the deviation is greater than 0, the RSOC electrolysis mode and methanol synthesis mode are activated, and the excess power is used for liquid energy storage.

[0015] If the actual proportion is not greater than 100%, then determine whether the actual proportion is greater than 50%. If the actual proportion is greater than 50%, calculate the actual power difference and determine whether the deviation between the actual power difference and the predicted power difference is less than the second threshold. If the deviation between the actual power difference and the predicted power difference is less than the second threshold, then respond to the load power consumption by discharging the lithium battery. If the deviation between the actual power difference and the predicted power difference is not less than the second threshold or the actual proportion is not greater than 50%, then activate the RSOC power generation mode, methanol reforming mode, and adsorption decarbonization mode for supplementary power generation.

[0016] Optionally, the first threshold is 50%.

[0017] Optionally, the second threshold is 20%.

[0018] Optionally, it also includes:

[0019] Monitor the liquid level of the methanol storage tank to determine whether a high-level alarm or a low-level alarm has occurred.

[0020] If a high-level alarm occurs in the methanol storage tank, when the predicted ratio is greater than 100%, the RSOC electrolysis mode and methanol synthesis mode will be turned off, and the RSOC power generation mode, methanol reforming mode and adsorption decarbonization mode will be turned on to charge the lithium battery. When the predicted ratio is not greater than 100%, the RSOC power generation mode, methanol reforming mode and adsorption decarbonization mode will be turned on to respond to the load power consumption.

[0021] If a low-level alarm occurs in the methanol storage tank, when the predicted ratio is greater than 100%, the lithium battery charging mode will be turned off, and the RSOC electrolysis mode and methanol synthesis mode will be turned on, using the surplus electricity for liquid energy storage. When the predicted ratio is not greater than 100%, the load power response will be achieved by discharging the lithium battery, and the RSOC power generation mode, methanol reforming mode and adsorption decarbonization mode will be turned off.

[0022] Optionally, it also includes:

[0023] Monitor the available capacity of the carbon dioxide storage tank and determine whether the carbon dioxide storage tank has a high-level alarm or a low-level alarm.

[0024] If a high-level alarm is triggered in the carbon dioxide storage tank, the RSOC power generation mode, methanol reforming mode, and adsorption decarbonization mode will be shut down.

[0025] If a low-level alarm occurs in the carbon dioxide storage tank, the RSOC electrolysis mode and methanol synthesis mode will be shut down.

[0026] Optionally, it also includes:

[0027] Monitor the status data of the working units in RSOC electrolysis mode and RSOC power generation mode. If an abnormal alarm occurs in the working unit, shut down RSOC electrolysis mode, RSOC power generation mode, methanol synthesis mode, methanol reforming mode and adsorption decarbonization mode. The working units include chiller units, air units and nitrogen units.

[0028] Optionally, the formula for calculating the prediction ratio is:

[0029]

[0030] in, To predict the proportion, This refers to the hourly photovoltaic power generation. This represents the hourly power consumption.

[0031] A second aspect of the present invention provides a control device for a hydrogen-electric integrated energy storage system based on photovoltaic power generation, comprising:

[0032] The power generation and consumption data prediction module is used to predict the photovoltaic power generation for the next 24 hours based on weather forecast data and historical photovoltaic power generation data, and to obtain photovoltaic power generation prediction data. Based on historical electricity load data, it predicts the electricity load for the next 24 hours, and obtains electricity load prediction data.

[0033] The prediction ratio calculation module is used to calculate the predicted ratio of photovoltaic power generation to electricity load based on photovoltaic power generation prediction data and electricity load prediction data.

[0034] The first judgment module is used to determine whether the prediction ratio is greater than 100%.

[0035] The first processing module is used to calculate the surplus power based on the photovoltaic power generation forecast data and the power load forecast data if the prediction ratio is greater than 100%, and to detect the remaining power of the lithium battery. If the remaining power of the lithium battery is greater than the first threshold, the RSOC electrolysis mode and methanol synthesis mode are activated to use the surplus power for liquid energy storage. If the remaining power of the lithium battery is not greater than the first threshold, the surplus power is used to charge the lithium battery.

[0036] The second processing module is used to determine whether the predicted ratio is greater than 50% if the predicted ratio is not greater than 100%. If the predicted ratio is greater than 50%, the module calculates the difference between the predicted power and the predicted power based on the photovoltaic power generation prediction data and the power load prediction data, and detects the remaining power of the lithium battery. If the remaining power of the lithium battery is greater than the first threshold, the module responds to the load power consumption by discharging the lithium battery. If the predicted ratio is not greater than 50% or the remaining power of the lithium battery is not greater than the first threshold, the module activates the RSOC power generation mode, methanol reforming mode, and adsorption decarbonization mode to supplement power generation.

[0037] Optionally, it also includes:

[0038] The actual power generation and consumption monitoring module is used to acquire real-time photovoltaic monitoring data and real-time electricity consumption monitoring data, and to calculate the actual proportion of real-time photovoltaic power generation to real-time electricity load based on the real-time photovoltaic monitoring data and real-time electricity consumption monitoring data.

[0039] The second judgment module is used to determine whether the actual ratio is greater than 100%.

[0040] The third processing module is used to calculate the deviation between the actual ratio and the predicted ratio if the actual ratio is greater than 100%. If the deviation is less than 0 and the lithium battery is not fully charged, the excess power is used to charge the lithium battery. If the deviation is less than 0 but the lithium battery is fully charged, or if the deviation is greater than 0, the RSOC electrolysis mode and methanol synthesis mode are activated, and the excess power is used for liquid energy storage.

[0041] The fourth processing module is used to determine whether the actual proportion is greater than 50% if the actual proportion is not greater than 100%. If the actual proportion is greater than 50%, it calculates the actual power difference and determines whether the deviation between the actual power difference and the predicted power difference is less than the second threshold. If the deviation between the actual power difference and the predicted power difference is less than the second threshold, it responds to the load power consumption by discharging the lithium battery. If the deviation between the actual power difference and the predicted power difference is not less than the second threshold or the actual proportion is not greater than 50%, it activates the RSOC power generation mode, methanol reforming mode, and adsorption decarbonization mode for supplementary power generation.

[0042] As can be seen from the above technical solutions, the control method for a hydrogen-electric integrated energy storage system based on photovoltaic power generation provided by this invention has the following advantages:

[0043] The present invention provides a control method for a photovoltaic-based hydrogen-electric integrated energy storage system. This method calculates the predicted proportion of photovoltaic power generation to electrical load based on photovoltaic power generation forecast data and load consumption forecast data. Then, based on the predicted proportion, it flexibly configures the lithium battery's charge / discharge state, RSOC electrolysis mode, methanol synthesis mode, RSOC power generation mode, methanol reforming mode, and adsorption decarbonization mode. This satisfies the power balance between supply and demand, and provides reasonable coordinated control of the hydrogen-electric integrated energy storage system. This reduces the frequency of power curtailment and shortage, improves the flexibility of system resource allocation, and solves the technical problems of existing photovoltaic-based hydrogen-electric integrated energy storage systems, which suffer from high power curtailment and shortage frequencies and poor system resource allocation flexibility.

[0044] Meanwhile, the control method for the hydrogen-electric integrated energy storage system based on photovoltaic power generation provided in this invention performs feedback correction on the coordinated control of the hydrogen-electric integrated energy storage system according to real-time photovoltaic monitoring data and electricity consumption monitoring data, thereby improving the economy and flexibility of the operation of the hydrogen-electric integrated energy storage system. Attached Figure Description

[0045] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0046] Figure 1 This is a schematic flowchart of a control method for a hydrogen-electric integrated energy storage system based on photovoltaic power generation provided in this invention;

[0047] Figure 2 This is a schematic diagram of the structure of the photovoltaic-based hydrogen-electric integrated energy storage system provided in this invention;

[0048] Figure 3This is a schematic diagram of the process for feedback correction of the coordinated control of the hydrogen-electric integrated energy storage system based on real-time photovoltaic monitoring data and electricity consumption monitoring data provided in this invention.

[0049] Figure 4 This is a schematic diagram of the methanol storage tank level monitoring process of the hydrogen-electric integrated energy storage system based on photovoltaic power generation provided in this invention.

[0050] Figure 5 This is a schematic diagram of the carbon dioxide storage tank capacity monitoring process for the photovoltaic-based hydrogen-electric integrated energy storage system provided in this invention.

[0051] Figure 6 This is a schematic diagram of the working unit monitoring process of the photovoltaic-based hydrogen-electric integrated energy storage system provided in this invention;

[0052] Figure 7 This is a schematic diagram of the structure of a control device for a hydrogen-electric integrated energy storage system based on photovoltaic power generation provided in this invention. Detailed Implementation

[0053] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0054] For easier understanding, please refer to Figure 1 This invention provides an embodiment of a control method for a hydrogen-electric integrated energy storage system based on photovoltaic power generation, comprising:

[0055] Step S1: Based on weather forecast data and historical photovoltaic power generation data, perform hourly data prediction on photovoltaic power generation for the next 24 hours to obtain photovoltaic power generation prediction data. Based on historical electricity load data, perform hourly data prediction on electricity load for the next 24 hours to obtain electricity load prediction data.

[0056] It should be noted that the hydrogen-electric integrated energy storage system based on photovoltaic power generation provided in this invention, such as... Figure 2As shown, the hydrogen-electric integrated energy storage system is based on photovoltaic power generation forecasting and electricity load forecasting, and is matched with reversible solid oxide fuel cells (RSOCs), lithium batteries, a methanol synthesis unit, a methanol reforming unit, and an adsorption decarbonization unit operating in synergy. Based on weather forecast data and historical photovoltaic power generation data, hourly data forecasts are performed for photovoltaic power generation over the next 24 hours, yielding photovoltaic power generation forecast data. Similarly, hourly data forecasts are performed for electricity load over the next 24 hours based on historical electricity load data, yielding electricity load forecast data.

[0057] Step S2: Calculate the predicted proportion of photovoltaic power generation to electricity load based on photovoltaic power generation forecast data and electricity load forecast data.

[0058] It should be noted that, based on the photovoltaic power generation forecast data and the electricity load forecast data, the predicted proportion of photovoltaic power generation to electricity load is calculated. The formula for calculating the predicted proportion is as follows:

[0059]

[0060] in, The predicted proportion of photovoltaic power generation to electrical load. This refers to the hourly photovoltaic power generation. This represents the hourly power consumption.

[0061] Step S3: Determine whether the prediction ratio is greater than 100%.

[0062] It should be noted that control commands are issued to the corresponding units based on the prediction ratio. When the prediction ratio is greater than 100%, step S4 is executed; otherwise, step S5 is executed.

[0063] Step S4: If the prediction ratio is greater than 100%, calculate the surplus power based on the photovoltaic power generation prediction data and the electricity load prediction data, and detect the remaining power of the lithium battery. If the remaining power of the lithium battery is greater than the first threshold, activate the RSOC electrolysis mode and methanol synthesis mode to use the surplus power for liquid energy storage. If the remaining power of the lithium battery is not greater than the first threshold, use the surplus power to charge the lithium battery.

[0064] It should be noted that if the predicted ratio is greater than 100%, it indicates that there is still surplus electricity generated by photovoltaic power generation for the electricity load. In this case, the amount of surplus electricity is calculated, and then the remaining capacity of the lithium battery is detected. If the remaining capacity of the lithium battery is greater than the first threshold, the RSOC electrolysis mode and methanol synthesis mode are activated, and the surplus electricity is used for liquid energy storage, converting it into methanol and storing it in a methanol storage tank. If the remaining capacity of the lithium battery is not greater than the first threshold, the surplus electricity is used to charge the lithium battery. In order to ensure that the effective energy storage of the lithium battery can meet emergency response needs, while also maintaining the lifespan of the lithium battery and reducing its charge-discharge cycles, the first threshold is selected as 50% of the lithium battery capacity.

[0065] The electrolysis mode of the reversible solid oxide fuel cell (RSOC) is achieved through a solid oxide electrolysis cell (SOEC), while the power generation mode is achieved through a solid oxide fuel cell (SOFC).

[0066] Step S5: If the predicted ratio is not greater than 100%, then determine whether the predicted ratio is greater than 50%. If the predicted ratio is greater than 50%, then calculate the difference in predicted power based on the photovoltaic power generation prediction data and the power load prediction data, and detect the remaining power of the lithium battery. If the remaining power of the lithium battery is greater than the first threshold, then respond to the load power consumption by discharging the lithium battery. If the predicted ratio is not greater than 50% or the remaining power of the lithium battery is not greater than the first threshold, then activate the RSOC power generation mode, methanol reforming mode and adsorption decarbonization mode to supplement power generation.

[0067] It should be noted that if the predicted ratio is not greater than 100%, it indicates that photovoltaic power generation is insufficient to meet load demand. In this case, the predicted ratio is first checked to see if it is greater than 50%. If it is, the predicted power difference is calculated based on the photovoltaic power generation prediction data and the load demand prediction data. This predicted power difference is the difference between the predicted photovoltaic power generation and the predicted load demand. The remaining lithium battery power is also checked. If the remaining lithium battery power is greater than a first threshold, the load demand is met by discharging the lithium battery. If the predicted ratio is not greater than 50%, or if the predicted ratio is greater than 50% but the remaining lithium battery power is not greater than the first threshold, the RSOC power generation mode, methanol reforming mode, and adsorption decarbonization mode are activated for supplementary power generation.

[0068] The present invention provides a control method for a photovoltaic-based hydrogen-electric integrated energy storage system. This method calculates the predicted proportion of photovoltaic power generation to electrical load based on photovoltaic power generation forecast data and load consumption forecast data. Then, based on the predicted proportion, it flexibly configures the lithium battery's charge / discharge state, RSOC electrolysis mode, methanol synthesis mode, RSOC power generation mode, methanol reforming mode, and adsorption decarbonization mode. This satisfies the power balance between supply and demand, and provides reasonable coordinated control of the hydrogen-electric integrated energy storage system. This reduces the frequency of power curtailment and shortage, improves the flexibility of system resource allocation, and solves the technical problems of existing photovoltaic-based hydrogen-electric integrated energy storage systems, which suffer from high power curtailment and shortage frequencies and poor system resource allocation flexibility.

[0069] In one embodiment, such as Figure 3 As shown, the control method for a hydrogen-electric integrated energy storage system based on photovoltaic power generation provided by the present invention may further include, after steps S4 and S5:

[0070] Step S6: Obtain real-time photovoltaic monitoring data and real-time electricity consumption monitoring data, and calculate the actual proportion of real-time photovoltaic power generation to real-time electricity load based on the real-time photovoltaic monitoring data and real-time electricity consumption monitoring data.

[0071] It should be noted that real-time acquisition of photovoltaic monitoring data and electricity consumption monitoring data is used to calculate the actual proportion of real-time photovoltaic power generation to real-time electricity load. The calculation formula is as follows:

[0072]

[0073] in, This represents the actual proportion of real-time photovoltaic power generation to real-time electricity load. This represents the actual photovoltaic power generation per hour. This represents the actual hourly power consumption.

[0074] Step S7: Determine whether the actual ratio is greater than 100%.

[0075] It should be noted that, based on the predicted proportion, corresponding control commands are issued to the relevant units. When the actual proportion is greater than 100%, step S8 is executed; otherwise, step S9 is executed.

[0076] Step S8: If the actual ratio is greater than 100%, calculate the deviation between the actual ratio and the predicted ratio. If the deviation is less than 0 and the lithium battery is not fully charged, use the surplus power to charge the lithium battery. If the deviation is less than 0 but the lithium battery is fully charged, or if the deviation is greater than 0, activate the RSOC electrolysis mode and methanol synthesis mode, and use the surplus power for liquid energy storage.

[0077] It should be noted that if the deviation between the actual and predicted proportions is less than 0, it means the actual proportion is less than the predicted proportion. In this case, first determine if the lithium battery is fully charged. If the lithium battery is fully charged, use the excess electricity to charge it. If the lithium battery is not fully charged, activate the RSOC electrolysis mode and methanol synthesis mode, and use the excess electricity for liquid energy storage, storing it as methanol in a methanol storage tank. If the deviation between the actual and predicted proportions is greater than 0, it means the actual proportion is greater than the predicted proportion. In this case, activate the RSOC electrolysis mode and methanol synthesis mode, and use the excess electricity for liquid energy storage, storing it as methanol in a methanol storage tank.

[0078] Step S9: If the actual proportion is not greater than 100%, then determine whether the actual proportion is greater than 50%. If the actual proportion is greater than 50%, then calculate the actual power difference and determine whether the deviation between the actual power difference and the predicted power difference is less than the second threshold. If the deviation between the actual power difference and the predicted power difference is less than the second threshold, then load power response is achieved by discharging the lithium battery. If the deviation between the actual power difference and the predicted power difference is not less than the second threshold or the actual proportion is not greater than 50%, then RSOC power generation mode, methanol reforming mode and adsorption decarbonization mode are activated for supplementary power generation.

[0079] It should be noted that if the actual proportion is not greater than 100%, then it is determined whether the actual proportion is greater than 50%. If the actual proportion is greater than 50%, then the actual power difference is calculated, which is the difference between the actual photovoltaic power generation and the actual load power consumption. It is then determined whether the deviation between the actual power difference and the predicted power difference is less than 20%. If the deviation between the actual power difference and the predicted power difference is less than 20%, then load power consumption response is achieved by discharging lithium batteries. If the deviation between the actual power difference and the predicted power difference is not less than 20% or the actual proportion is not greater than 50%, then RSOC power generation mode, methanol reforming mode, and adsorption decarbonization mode are activated for supplementary power generation.

[0080] The control method for a hydrogen-electric integrated energy storage system based on photovoltaic power generation provided in this invention performs feedback correction on the coordinated control of the hydrogen-electric integrated energy storage system according to real-time photovoltaic monitoring data and electricity consumption monitoring data, thereby improving the economy and flexibility of the operation of the hydrogen-electric integrated energy storage system.

[0081] In one embodiment, such as Figure 4 As shown, the control method for a hydrogen-electric integrated energy storage system based on photovoltaic power generation provided by the present invention further includes:

[0082] SA monitors the liquid level of the methanol storage tank to determine whether a high-level alarm or a low-level alarm has occurred.

[0083] It should be noted that high / low level alarms in the methanol storage tank directly affect the operating status of the methanol synthesis unit and the methanol reforming unit, and indirectly affect the associated RSOC unit and adsorption decarbonization unit. The methanol storage tank level is monitored by a level sensor to determine whether a high or low level alarm has occurred. If a high level alarm occurs, step SB is executed; if a low level alarm occurs, step SC is executed.

[0084] SB. If a high-level alarm occurs in the methanol storage tank, when the predicted ratio is greater than 100%, the RSOC electrolysis mode and methanol synthesis mode will be turned off, and the RSOC power generation mode, methanol reforming mode and adsorption decarbonization mode will be turned on to charge the lithium battery. When the predicted ratio is not greater than 100%, the RSOC power generation mode, methanol reforming mode and adsorption decarbonization mode will be turned on to respond to the load power consumption.

[0085] It should be noted that if a high-level alarm is triggered in the methanol storage tank, it indicates that the tank is full or about to be full. Therefore, if the predicted percentage is greater than 100% at this time, the RSOC electrolysis mode and methanol synthesis mode will be shut down, and the RSOC power generation mode, methanol reforming mode, and adsorption decarbonization mode will be activated to charge the lithium battery. Liquid energy storage will cease until the high-level alarm is cleared. If the predicted percentage is not greater than 100% at this time, the RSOC power generation mode, methanol reforming mode, and adsorption decarbonization mode will be activated directly to respond to load power consumption.

[0086] SC. If a low-level alarm occurs in the methanol storage tank, when the predicted ratio is greater than 100%, the lithium battery charging mode will be turned off, and the RSOC electrolysis mode and methanol synthesis mode will be turned on, using the surplus electricity for liquid energy storage. When the predicted ratio is not greater than 100%, the load power response will be carried out by discharging the lithium battery, and the RSOC power generation mode, methanol reforming mode and adsorption decarbonization mode will be turned off.

[0087] It should be noted that if a low-level alarm occurs in the methanol storage tank, it indicates that the liquid methanol stored in the tank is insufficient. If the predicted percentage is greater than 100% at this time, the lithium battery charging mode will be shut down, and the RSOC electrolysis mode and methanol synthesis mode will be activated. The excess electricity will be used for liquid energy storage to synthesize methanol for storage in the methanol storage tank. If the predicted percentage is not greater than 100% at this time, the load power response will be achieved by discharging the lithium battery, and the RSOC power generation mode, methanol reforming mode, and adsorption decarbonization mode will be shut down.

[0088] In one embodiment, such as Figure 5 As shown, the control method for a hydrogen-electric integrated energy storage system based on photovoltaic power generation provided by the present invention further includes:

[0089] SD monitors the available capacity of the carbon dioxide storage tank and determines whether the carbon dioxide storage tank has a high-level alarm or a low-level alarm.

[0090] It should be noted that high / low level alarms in the CO2 storage tank directly affect the operating status of the methanol synthesis and reforming units, and indirectly affect the associated RSOC and adsorption decarbonization units. Therefore, it is necessary to monitor the available capacity of the CO2 storage tank to determine whether a high or low level alarm has occurred. If a high level alarm occurs, step SE should be executed; if a low level alarm occurs, step SF should be executed.

[0091] SE, if a high-level alarm occurs in the carbon dioxide storage tank, then shut down the RSOC power generation mode, methanol reforming mode, and adsorption decarbonization mode.

[0092] It should be noted that if a high-level alarm is triggered in the carbon dioxide storage tank, it means that the tank is full or about to be full. At this time, the RSOC power generation mode, methanol reforming mode, and adsorption decarbonization mode should be shut down to prevent further carbon dioxide production.

[0093] SF. If a low-level alarm occurs in the carbon dioxide storage tank, the RSOC electrolysis mode and methanol synthesis mode will be shut down.

[0094] It should be noted that if a low-level alarm is triggered in the carbon dioxide storage tank, it indicates that the carbon dioxide in the tank is insufficient. At this time, the RSOC electrolysis mode and methanol synthesis mode should be turned off to stop consuming carbon dioxide.

[0095] Simultaneously, it can monitor the operating data of the methanol reforming unit, methanol synthesis unit, adsorption decarbonization unit, and RSOC unit. When an abnormality occurs in the methanol reforming unit, methanol synthesis unit, adsorption decarbonization unit, or RSOC unit, it can send a stop operation command to the corresponding unit.

[0096] In one embodiment, such as Figure 6 As shown, the control method for a hydrogen-electric integrated energy storage system based on photovoltaic power generation provided by the present invention further includes:

[0097] Monitor the status data of the working units in RSOC electrolysis mode and RSOC power generation mode. If an abnormal alarm occurs in the working unit, shut down RSOC electrolysis mode, RSOC power generation mode, methanol synthesis mode, methanol reforming mode and adsorption decarbonization mode. The working units include chiller units, air units and nitrogen units.

[0098] It should be noted that the chiller, air compressor, and nitrogen compressor are common utilities of the entire hydrogen-electric integrated energy storage system. If an abnormality occurs, a shutdown command needs to be issued to all operating units.

[0099] For easier understanding, please refer to Figure 7 This invention provides an embodiment of a control device for a hydrogen-electric integrated energy storage system based on photovoltaic power generation, comprising:

[0100] The power generation and consumption data prediction module is used to predict the photovoltaic power generation for the next 24 hours based on weather forecast data and historical photovoltaic power generation data, and to obtain photovoltaic power generation prediction data. Based on historical electricity load data, it predicts the electricity load for the next 24 hours, and obtains electricity load prediction data.

[0101] The prediction ratio calculation module is used to calculate the predicted ratio of photovoltaic power generation to electricity load based on photovoltaic power generation prediction data and electricity load prediction data.

[0102] The first judgment module is used to determine whether the prediction ratio is greater than 100%.

[0103] The first processing module is used to calculate the surplus power based on the photovoltaic power generation forecast data and the power load forecast data if the prediction ratio is greater than 100%, and to detect the remaining power of the lithium battery. If the remaining power of the lithium battery is greater than the first threshold, the RSOC electrolysis mode and methanol synthesis mode are activated to use the surplus power for liquid energy storage. If the remaining power of the lithium battery is not greater than the first threshold, the surplus power is used to charge the lithium battery.

[0104] The second processing module is used to determine whether the predicted ratio is greater than 50% if the predicted ratio is not greater than 100%. If the predicted ratio is greater than 50%, the module calculates the difference between the predicted power and the predicted power based on the photovoltaic power generation prediction data and the power load prediction data, and detects the remaining power of the lithium battery. If the remaining power of the lithium battery is greater than the first threshold, the module responds to the load power consumption by discharging the lithium battery. If the predicted ratio is not greater than 50% or the remaining power of the lithium battery is not greater than the first threshold, the module activates the RSOC power generation mode, methanol reforming mode, and adsorption decarbonization mode to supplement power generation.

[0105] Also includes:

[0106] The actual power generation and consumption monitoring module is used to acquire real-time photovoltaic monitoring data and real-time electricity consumption monitoring data, and to calculate the actual proportion of real-time photovoltaic power generation to real-time electricity load based on the real-time photovoltaic monitoring data and real-time electricity consumption monitoring data.

[0107] The second judgment module is used to determine whether the actual ratio is greater than 100%.

[0108] The third processing module is used to calculate the deviation between the actual ratio and the predicted ratio if the actual ratio is greater than 100%. If the deviation is less than 0 and the lithium battery is not fully charged, the excess power is used to charge the lithium battery. If the deviation is less than 0 but the lithium battery is fully charged, or if the deviation is greater than 0, the RSOC electrolysis mode and methanol synthesis mode are activated, and the excess power is used for liquid energy storage.

[0109] The fourth processing module is used to determine whether the actual proportion is greater than 50% if the actual proportion is not greater than 100%. If the actual proportion is greater than 50%, it calculates the actual power difference and determines whether the deviation between the actual power difference and the predicted power difference is less than the second threshold. If the deviation between the actual power difference and the predicted power difference is less than the second threshold, it responds to the load power consumption by discharging the lithium battery. If the deviation between the actual power difference and the predicted power difference is not less than the second threshold or the actual proportion is not greater than 50%, it activates the RSOC power generation mode, methanol reforming mode, and adsorption decarbonization mode for supplementary power generation.

[0110] It also includes a methanol storage control module, which is used for:

[0111] Monitor the liquid level of the methanol storage tank to determine whether a high-level alarm or a low-level alarm has occurred.

[0112] If a high-level alarm occurs in the methanol storage tank, when the predicted ratio is greater than 100%, the RSOC electrolysis mode and methanol synthesis mode will be turned off, and the RSOC power generation mode, methanol reforming mode and adsorption decarbonization mode will be turned on to charge the lithium battery. When the predicted ratio is not greater than 100%, the RSOC power generation mode, methanol reforming mode and adsorption decarbonization mode will be turned on to respond to the load power consumption.

[0113] If a low-level alarm occurs in the methanol storage tank, when the predicted ratio is greater than 100%, the lithium battery charging mode will be turned off, and the RSOC electrolysis mode and methanol synthesis mode will be turned on, using the surplus electricity for liquid energy storage. When the predicted ratio is not greater than 100%, the load power response will be achieved by discharging the lithium battery, and the RSOC power generation mode, methanol reforming mode and adsorption decarbonization mode will be turned off.

[0114] It also includes a carbon dioxide storage control module, used for:

[0115] Monitor the available capacity of the carbon dioxide storage tank and determine whether the carbon dioxide storage tank has a high-level alarm or a low-level alarm.

[0116] If a high-level alarm is triggered in the carbon dioxide storage tank, the RSOC power generation mode, methanol reforming mode, and adsorption decarbonization mode will be shut down.

[0117] If a low-level alarm occurs in the carbon dioxide storage tank, the RSOC electrolysis mode and methanol synthesis mode will be shut down.

[0118] It also includes a working unit monitoring and control module, used for:

[0119] Monitor the status data of the working units in RSOC electrolysis mode and RSOC power generation mode. If an abnormal alarm occurs in the working unit, shut down RSOC electrolysis mode, RSOC power generation mode, methanol synthesis mode, methanol reforming mode and adsorption decarbonization mode. The working units include chiller units, air units and nitrogen units.

[0120] The first threshold is 50%. The second threshold is 20%.

[0121] The control device for the integrated hydrogen-electric energy storage system based on photovoltaic power generation provided in this invention is used to execute the control method for the integrated hydrogen-electric energy storage system based on photovoltaic power generation provided in this invention. Its principle and the technical effects achieved are the same as those of the control method for the integrated hydrogen-electric energy storage system based on photovoltaic power generation provided in this invention, and will not be repeated here.

[0122] The terms "first," "second," etc., used in this specification are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be used interchangeably where appropriate so that embodiments of the invention described herein can be implemented, for example, in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0123] The above-described embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A control method for a hydrogen-electric integrated energy storage system based on photovoltaic power generation, characterized in that, include: Based on weather forecast data and historical photovoltaic power generation data, hourly data predictions are made for photovoltaic power generation in the next 24 hours to obtain photovoltaic power generation forecast data. Based on historical electricity load data, hourly data predictions are made for electricity load in the next 24 hours to obtain electricity load forecast data. Based on the photovoltaic power generation forecast data and the electricity load forecast data, calculate the predicted proportion of photovoltaic power generation to electricity load; Determine if the predicted proportion is greater than 100%; If the prediction ratio is greater than 100%, the surplus power is calculated based on the photovoltaic power generation prediction data and the electricity load prediction data, and the remaining power of the lithium battery is detected. If the remaining power of the lithium battery is greater than the first threshold, the RSOC electrolysis mode and methanol synthesis mode are activated, and the surplus power is used for liquid energy storage. If the remaining power of the lithium battery is not greater than the first threshold, the surplus power is used to charge the lithium battery. If the predicted ratio is not greater than 100%, then it is determined whether the predicted ratio is greater than 50%. If the predicted ratio is greater than 50%, then the difference between the predicted power and the predicted power is calculated based on the photovoltaic power generation prediction data and the power load prediction data, and the remaining power of the lithium battery is detected. If the remaining power of the lithium battery is greater than the first threshold, then the load power response is achieved by discharging the lithium battery. If the predicted ratio is not greater than 50% or the remaining power of the lithium battery is not greater than the first threshold, then the RSOC power generation mode, methanol reforming mode and adsorption decarbonization mode are activated to supplement power generation. Also includes: Acquire real-time photovoltaic monitoring data and real-time electricity consumption monitoring data, and calculate the actual proportion of real-time photovoltaic power generation to real-time electricity load based on the real-time photovoltaic monitoring data and real-time electricity consumption monitoring data; Determine if the actual proportion is greater than 100%; If the actual ratio is greater than 100%, the deviation between the actual ratio and the predicted ratio is calculated. If the deviation is less than 0 and the lithium battery is not fully charged, the excess power is used to charge the lithium battery. If the deviation is less than 0 but the lithium battery is fully charged, or if the deviation is greater than 0, the RSOC electrolysis mode and methanol synthesis mode are activated, and the excess power is used for liquid energy storage. If the actual proportion is not greater than 100%, then determine whether the actual proportion is greater than 50%. If the actual proportion is greater than 50%, calculate the actual power difference and determine whether the deviation between the actual power difference and the predicted power difference is less than the second threshold. If the deviation between the actual power difference and the predicted power difference is less than the second threshold, then respond to the load power consumption by discharging the lithium battery. If the deviation between the actual power difference and the predicted power difference is not less than the second threshold or the actual proportion is not greater than 50%, then activate the RSOC power generation mode, methanol reforming mode and adsorption decarbonization mode for supplementary power generation. Also includes: Monitor the liquid level of the methanol storage tank to determine whether a high-level alarm or a low-level alarm has occurred. If a high-level alarm occurs in the methanol storage tank, when the predicted ratio is greater than 100%, the RSOC electrolysis mode and methanol synthesis mode will be turned off, and the RSOC power generation mode, methanol reforming mode and adsorption decarbonization mode will be turned on to charge the lithium battery. When the predicted ratio is not greater than 100%, the RSOC power generation mode, methanol reforming mode and adsorption decarbonization mode will be turned on to respond to the load power consumption. If a low-level alarm occurs in the methanol storage tank, when the predicted ratio is greater than 100%, the lithium battery charging mode will be turned off, and the RSOC electrolysis mode and methanol synthesis mode will be turned on, using the surplus electricity for liquid energy storage. When the predicted ratio is not greater than 100%, the load power response will be carried out by discharging the lithium battery, and the RSOC power generation mode, methanol reforming mode and adsorption decarbonization mode will be turned off. Also includes: Monitor the available capacity of the carbon dioxide storage tank and determine whether the carbon dioxide storage tank has a high-level alarm or a low-level alarm. If a high-level alarm is triggered in the carbon dioxide storage tank, the RSOC power generation mode, methanol reforming mode, and adsorption decarbonization mode will be shut down. If a low-level alarm occurs in the carbon dioxide storage tank, the RSOC electrolysis mode and methanol synthesis mode will be shut down.

2. The control method for a hydrogen-electric integrated energy storage system based on photovoltaic power generation according to claim 1, characterized in that, The first threshold is 50%.

3. The control method for a hydrogen-electric integrated energy storage system based on photovoltaic power generation according to claim 1, characterized in that, The second threshold is 20%.

4. The control method for a hydrogen-electric integrated energy storage system based on photovoltaic power generation according to claim 1, characterized in that, Also includes: Monitor the status data of the working units in RSOC electrolysis mode and RSOC power generation mode. If an abnormal alarm occurs in the working unit, shut down RSOC electrolysis mode, RSOC power generation mode, methanol synthesis mode, methanol reforming mode and adsorption decarbonization mode. The working units include chiller units, air units and nitrogen units.

5. The control method for a hydrogen-electric integrated energy storage system based on photovoltaic power generation according to claim 1, characterized in that, The formula for calculating the predicted proportion is: ； in, The predicted proportion of photovoltaic power generation to electrical load. This refers to the hourly photovoltaic power generation. This represents the hourly power consumption.

6. A control device for a hydrogen-electric integrated energy storage system based on photovoltaic power generation, characterized in that, include: The power generation and consumption data prediction module is used to predict the photovoltaic power generation for the next 24 hours based on weather forecast data and historical photovoltaic power generation data, and to obtain photovoltaic power generation prediction data. Based on historical electricity load data, it predicts the electricity load for the next 24 hours, and obtains electricity load prediction data. The prediction ratio calculation module is used to calculate the predicted ratio of photovoltaic power generation to electricity load based on photovoltaic power generation prediction data and electricity load prediction data. The first judgment module is used to determine whether the prediction ratio is greater than 100%. The first processing module is used to calculate the surplus power based on the photovoltaic power generation forecast data and the power load forecast data if the prediction ratio is greater than 100%, and to detect the remaining power of the lithium battery. If the remaining power of the lithium battery is greater than the first threshold, the RSOC electrolysis mode and methanol synthesis mode are activated to use the surplus power for liquid energy storage. If the remaining power of the lithium battery is not greater than the first threshold, the surplus power is used to charge the lithium battery. The second processing module is used to determine whether the predicted ratio is greater than 50% if the predicted ratio is not greater than 100%. If the predicted ratio is greater than 50%, the module calculates the difference between the predicted power and the predicted power based on the photovoltaic power generation prediction data and the power load prediction data, and detects the remaining power of the lithium battery. If the remaining power of the lithium battery is greater than the first threshold, the module responds to the load power consumption by discharging the lithium battery. If the predicted ratio is not greater than 50% or the remaining power of the lithium battery is not greater than the first threshold, the module activates the RSOC power generation mode, methanol reforming mode and adsorption decarbonization mode to supplement power generation. Also includes: The actual power generation and consumption monitoring module is used to acquire real-time photovoltaic monitoring data and real-time electricity consumption monitoring data, and to calculate the actual proportion of real-time photovoltaic power generation to real-time electricity load based on the real-time photovoltaic monitoring data and real-time electricity consumption monitoring data. The second judgment module is used to determine whether the actual ratio is greater than 100%. The third processing module is used to calculate the deviation between the actual ratio and the predicted ratio if the actual ratio is greater than 100%. If the deviation is less than 0 and the lithium battery is not fully charged, the excess power is used to charge the lithium battery. If the deviation is less than 0 but the lithium battery is fully charged, or if the deviation is greater than 0, the RSOC electrolysis mode and methanol synthesis mode are activated, and the excess power is used for liquid energy storage. The fourth processing module is used to determine whether the actual proportion is greater than 50% if the actual proportion is not greater than 100%. If the actual proportion is greater than 50%, it calculates the actual power difference and determines whether the deviation between the actual power difference and the predicted power difference is less than the second threshold. If the deviation between the actual power difference and the predicted power difference is less than the second threshold, it responds to the load power consumption by discharging the lithium battery. If the deviation between the actual power difference and the predicted power difference is not less than the second threshold or the actual proportion is not greater than 50%, it activates the RSOC power generation mode, methanol reforming mode, and adsorption decarbonization mode for supplementary power generation. It also includes a methanol storage control module, which is used for: Monitor the liquid level of the methanol storage tank to determine whether a high-level alarm or a low-level alarm has occurred. If a high-level alarm occurs in the methanol storage tank, when the predicted ratio is greater than 100%, the RSOC electrolysis mode and methanol synthesis mode will be turned off, and the RSOC power generation mode, methanol reforming mode and adsorption decarbonization mode will be turned on to charge the lithium battery. When the predicted ratio is not greater than 100%, the RSOC power generation mode, methanol reforming mode and adsorption decarbonization mode will be turned on to respond to the load power consumption. If a low-level alarm occurs in the methanol storage tank, when the predicted ratio is greater than 100%, the lithium battery charging mode will be turned off, and the RSOC electrolysis mode and methanol synthesis mode will be turned on, using the surplus electricity for liquid energy storage. When the predicted ratio is not greater than 100%, the load power response will be carried out by discharging the lithium battery, and the RSOC power generation mode, methanol reforming mode and adsorption decarbonization mode will be turned off. It also includes a carbon dioxide storage control module, used for: Monitor the available capacity of the carbon dioxide storage tank and determine whether the carbon dioxide storage tank has a high-level alarm or a low-level alarm. If a high-level alarm is triggered in the carbon dioxide storage tank, the RSOC power generation mode, methanol reforming mode, and adsorption decarbonization mode will be shut down. If a low-level alarm occurs in the carbon dioxide storage tank, the RSOC electrolysis mode and methanol synthesis mode will be shut down.

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