CO2 electrolysis load flexible control method and device for off-grid photovoltaic consumption

Abstract

The invention provides a CO2 electrolysis load flexible control method and device for off-grid photovoltaic consumption, the method and device are applied to an electrolysis system, the electrolysis system comprises photovoltaic power generation equipment, electrolysis equipment and energy storage equipment, the photovoltaic power generation equipment, the electrolysis equipment and the energy storage equipment are all connected to a direct-current bus, the electrolysis equipment is carbon dioxide electrolysis equipment, and the energy storage equipment is connected to the direct-current bus. The method comprises the steps of obtaining illumination change data from a current moment to a future time period, and determining predicted power generation power of photovoltaic power generation equipment in the future time period based on the illumination change data and power generation power of the photovoltaic power generation equipment at the current moment; determining operation state data of the energy storage equipment in a future time period based on the predicted power generation power; and determining the carbon dioxide flow of the electrolysis equipment in the future time period based on the predicted generated power and the operation state data. According to the invention, the electrolysis load can be flexibly adjusted according to the volatility of photovoltaic power generation, and the adaptability of the CO2 electrolysis equipment for off-grid photovoltaic absorption to the volatility solar power supply is improved.

Description

Technical Field

[0001] The present invention relates to the field of industrial control technology, and in particular to CO2 emission reduction for off-grid photovoltaic consumption. 2 Flexible control method and device for electrolytic load. Background Art

[0002] Intermittent renewable energy, especially solar energy, accounts for an increasing proportion in the energy structure. As a clean and renewable energy, the development and utilization of solar energy has received extensive attention, but it is unstable. 2 Electrolysis equipment provides a new means of regulating the power system by converting unstable solar energy into stable chemical energy.

[0003] But existing technologies are not good enough to adapt to the volatility of solar energy, especially in areas where solar resources are abundant but unstable. Summary of the invention

[0004] The present invention provides a CO2-free photovoltaic system suitable for off-grid photovoltaic consumption. 2 Flexible control method and device for electrolysis load, used to solve the CO2 problem in off-grid photovoltaic consumption in the prior art 2 The electrolysis equipment has a low ability to adapt to the fluctuation of solar energy, and it can improve the CO2 absorption capacity for off-grid photovoltaic 2 Adaptability of electrolysis equipment to fluctuating solar power sources.

[0005] The present invention provides a CO2-based off-grid photovoltaic system 2 A flexible control method for electrolysis load is applied to an electrolysis system, wherein the electrolysis system comprises: a photovoltaic power generation device, an electrolysis device and an energy storage device, wherein the photovoltaic power generation device, the electrolysis device and the energy storage device are all connected to a DC bus, and the electrolysis device is a carbon dioxide electrolysis device; The method comprises: Acquire light variation data from the current moment to a future time period, and determine the estimated power generation power of the photovoltaic power generation equipment in the future time period based on the light variation data and the power generation power of the photovoltaic power generation equipment at the current moment; Determining the operating status data of the energy storage device in the future period based on the expected generated power; The carbon dioxide flow rate of the electrolysis device in the future period is determined based on the expected power generation and the operating status data.

[0006] According to the present invention, a CO2-free photovoltaic system for off-grid photovoltaic consumption is provided. 2 The method for flexible control of electrolytic load, wherein the operation status data of the energy storage device in the future period is determined based on the expected power generation power, comprises: When the estimated generated power is greater than a first preset power threshold, determining that the operating state of the energy storage device in the future time period is charging; When the predicted generated power is less than the first preset power threshold, it is determined that the operating state of the energy storage device in the future time period is discharging.

[0007] According to the present invention, a CO2-free photovoltaic system for off-grid photovoltaic consumption is provided. 2 The electrolysis load flexible control method, wherein the carbon dioxide flow rate of the electrolysis equipment in the future period is determined based on the expected power generation and the operating status data, comprises: When the operating state of the energy storage device in the future time period is charging, determining the electrolysis current of the electrolysis device in the future time period based on the difference between the expected power generation power and the charging power of the energy storage device; When the operating state of the energy storage device in the future time period is discharging, determining the electrolysis current of the electrolysis device in the future time period based on the first preset power threshold; Based on the pre-established correspondence between the electrolysis current and the carbon dioxide flow rate of the electrolysis device, the carbon dioxide flow rate of the electrolysis device in the future period is determined.

[0008] According to the present invention, a CO2-free photovoltaic system for off-grid photovoltaic consumption is provided. 2 The electrolysis load flexible control method, after determining the operating state data of the energy storage device in the future period based on the expected power generation, comprises: In the future period, real-time power generation of the photovoltaic power generation equipment is acquired; When the real-time power generation power of the photovoltaic power generation device decreases by more than a preset amount or is interrupted, the energy storage device is controlled to immediately switch to a discharge state, and the discharge power is higher than a third preset power threshold.

[0009] According to the present invention, a CO2-free photovoltaic system for off-grid photovoltaic consumption is provided. 2 The electrolysis load flexible control method controls the capacity of the energy storage device to meet a preset condition during the future period, wherein the preset condition is: ; in, is the capacity of the energy storage device, is the power requirement of the electrolysis equipment, is the preset photovoltaic power generation interruption time, is the efficiency of the energy storage device.

[0010] According to the present invention, a CO2-free photovoltaic system for off-grid photovoltaic consumption is provided. 2The electrolysis load flexible control method, after controlling the photovoltaic power generation equipment to immediately switch to a discharge state, comprises: Reducing the power demand of the electrolysis equipment by preset control instructions; The preset control instructions include at least one of: an instruction to control the shutdown of some electrolysis units of the electrolysis equipment and an instruction to control the reduction of the current density of the electrolysis equipment, and the importance of some electrolysis units is lower than that of other electrolysis units in the electrolysis equipment.

[0011] The present invention also provides a CO2-based off-grid photovoltaic system. 2 The electrolysis load flexible control device is applied to an electrolysis system, wherein the electrolysis system comprises: a photovoltaic power generation device, an electrolysis device and an energy storage device, wherein the photovoltaic power generation device, the electrolysis device and the energy storage device are all connected to a DC bus, and the electrolysis device is a carbon dioxide electrolysis device; The device comprises: A photovoltaic power generation prediction module is used to obtain the light change data from the current moment to the future time period, and determine the expected power generation power of the photovoltaic power generation equipment in the future time period based on the light change data and the power generation power of the photovoltaic power generation equipment at the current moment; An energy storage state prediction module, used to determine the operating state data of the energy storage device in the future period based on the expected power generation; The electrolysis load adjustment module is used to determine the carbon dioxide flow rate of the electrolysis equipment in the future period based on the expected power generation and the operation status data.

[0012] The present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the CO2 emission reduction device for off-grid photovoltaic consumption described in any one of the above methods is realized. 2 Flexible control method of electrolysis load.

[0013] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements any of the above-mentioned CO2-based off-grid photovoltaic consumption methods. 2 Flexible control method of electrolysis load.

[0014] The present invention also provides a computer program product, including a computer program, which, when executed by a processor, implements any of the above-mentioned CO2-based off-grid photovoltaic consumption methods. 2 Flexible control method of electrolysis load.

[0015] The present invention provides a CO2-based off-grid photovoltaic system 2The invention discloses a method and device for flexibly controlling electrolysis load. By arranging photovoltaic power generation equipment, carbon dioxide electrolysis equipment and energy storage equipment in an electrolysis system, the photovoltaic power generation equipment, the electrolysis equipment and the energy storage equipment are all connected to a DC bus, and the light change data from the current moment to the future time period is obtained. When the photovoltaic power generation equipment is used to power the electrolysis equipment, the fluctuation of power generation of the photovoltaic power generation equipment is predicted in advance by the change of light, and the estimated power generation power of the photovoltaic power generation equipment in the future time period is obtained. Based on the estimated power generation power, the operation status data of the energy storage equipment in the future time period is determined, and the carbon dioxide flow rate of the electrolysis equipment in the future time period is determined based on the estimated power generation power and the operation status data, so as to realize the flexible adjustment of the electrolysis load according to the fluctuation of photovoltaic power generation, and improve the CO2 consumption of off-grid photovoltaic power generation. 2 Adaptability of electrolysis equipment to fluctuating solar power sources. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0017] Figure 1 The present invention provides a CO2-based photovoltaic system for off-grid consumption. 2 Schematic diagram of the process flow of the flexible control method for electrolysis load.

[0018] Figure 2 The present invention provides a CO2-based photovoltaic system for off-grid consumption. 2 Schematic diagram of the system in the flexible control method of electrolysis load.

[0019] Figure 3 The present invention provides a CO2-based photovoltaic system for off-grid consumption. 2 Schematic diagram of the structure of the flexible control device for electrolysis load.

[0020] Figure 4 It is a structural schematic diagram of the electronic device provided by the present invention. DETAILED DESCRIPTION

[0021] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0022] Combine the following Figure 1-2The present invention provides a CO2-based photovoltaic system for off-grid consumption. 2 Flexible control method for electrolytic load. Figure 1 As shown, the CO2-based off-grid photovoltaic system provided by the present invention 2 The electrolytic load flexible control method comprises the following steps: S110, obtaining illumination change data from the current moment to a future time period, and determining an estimated power generation power of the photovoltaic power generation equipment in the future time period based on the illumination change data and the power generation power of the photovoltaic power generation equipment at the current moment; S120, determining the operating status data of the energy storage device in the future period based on the expected power generation; S130. Determine the carbon dioxide flow rate of the electrolysis equipment in a future period based on the expected power generation and operating status data.

[0023] The method provided by the present invention is applied to an electrolysis system, which includes: photovoltaic power generation equipment, electrolysis equipment and energy storage equipment, the photovoltaic power generation equipment, electrolysis equipment and energy storage equipment are all connected to a DC bus, and the electrolysis equipment is a carbon dioxide electrolysis equipment.

[0024] The present invention provides a method for absorbing CO2 from off-grid photovoltaic 2 The invention discloses a flexible control method for electrolysis load. By arranging photovoltaic power generation equipment, carbon dioxide electrolysis equipment and energy storage equipment in an electrolysis system, the photovoltaic power generation equipment, the electrolysis equipment and the energy storage equipment are all connected to a DC bus, and the light change data from the current moment to the future time period is obtained. When the photovoltaic power generation equipment is used to power the electrolysis equipment, the fluctuation of power generation of the photovoltaic power generation equipment is predicted in advance by the change of light, and the expected power generation power of the photovoltaic power generation equipment in the future time period is obtained. Based on the expected power generation power, the operation status data of the energy storage equipment in the future time period is determined, and the carbon dioxide flow rate of the electrolysis equipment in the future time period is determined based on the expected power generation power and the operation status data. The electrolysis load is flexibly adjusted according to the fluctuation of photovoltaic power generation, and the CO2 consumption capacity for off-grid photovoltaic consumption is improved. 2 Adaptability of electrolysis equipment to fluctuating solar power sources.

[0025] Specifically, in the method provided by the present invention, Figure 2 As shown, photovoltaic power generation equipment (such as solar photovoltaic panels) is installed at the selected location to ensure that it can receive sufficient sunlight. At the same time, the photovoltaic panels are connected to the DC bus through the chopper link. At the same time, a CO2 electrolysis device is installed, including an electrolyzer, cathode and anode flow plates, and necessary pipes and valves. The electrolysis equipment is also connected to the DC bus. According to the predicted output of photovoltaic power generation and the needs of the electrolysis process, appropriate energy storage equipment is configured to ensure that the electrolysis process can be maintained when the photovoltaic output is insufficient. The energy storage equipment is connected to the DC bus through the chopper link.

[0026] For photovoltaic power generation equipment, configure the maximum power point tracking (MPPT) controller and design an intelligent MPPT control strategy to adapt to the photovoltaic output power fluctuations caused by factors such as light intensity, temperature changes, clouds, atmospheric conditions and sun position. First, monitor the output voltage of the photovoltaic power generation equipment in real time. and , to obtain the current working point. Then, the light intensity, temperature and other data collected by the environmental sensor are combined with advanced prediction algorithms to predict short-term light changes. Based on the prediction and real-time data, the MPPT controller dynamically adjusts the working point of the photovoltaic panel to make the photovoltaic power generation equipment as close to the maximum power point as possible. .

[0027] In order to improve the adaptability of the method provided by the present invention to the volatility of solar power generation, the electrolysis system also includes an energy storage device, and the operating status data of the energy storage device in the future period is preliminarily determined based on the expected power generation of the photovoltaic power generation device in the future period. Specifically, the operating status data of the energy storage device in the future period is determined based on the expected power generation, including: When the estimated generated power is greater than a first preset power threshold, determining that the operating state of the energy storage device in the future time period is charging; When the estimated generated power is less than the first preset power threshold, it is determined that the operating state of the energy storage device in the future period is discharging.

[0028] In the method provided by the present invention, the integrated energy storage device further optimizes the energy management structure, allowing excess energy to be stored during peak photovoltaic power generation and providing stable electricity during low light periods to ensure the continuity of the electrolysis process.

[0029] Determining the carbon dioxide flow rate of the electrolysis device in the future period based on the expected power generation and the operating status data includes: When the operating state of the energy storage device in the future time period is charging, determining the electrolysis current of the electrolysis device in the future time period based on the difference between the expected power generation power and the charging power of the energy storage device; When the operating state of the energy storage device in the future time period is discharging, determining the electrolysis current of the electrolysis device in the future time period based on the first preset power threshold; Based on the pre-established correspondence between the electrolysis current and the carbon dioxide flow rate of the electrolysis device, the carbon dioxide flow rate of the electrolysis device in the future period is determined.

[0030] In the method provided by the present invention, the total area of ​​the installed solar photovoltaic panels is preliminarily determined. , and based on the expected solar energy capture and conversion efficiency , get the maximum output power of photovoltaic power generation equipment Then, the electrolytic cell is designed and the power equation is solved to determine the equivalent resistance of the electrolytic cell. and the maximum possible current in the electrolyte Then, the electrolytic cell data is further fitted to obtain the equivalent resistance of the electrolytic cell. R and electrolysis current I The relationship between the power generation power of the photovoltaic power generation equipment obtained by MPPT control is solved to obtain the power equation of the electrolyte. I The size of CO2 can be quantitatively calculated through the chemical equation. It can be seen that different photovoltaic power generation powers correspond to different CO 2 The feed rate is used to drive the CO 2 Mass flow controller to control CO in the electrolyzer 2 The feed rate is to make CO 2 The supply of is matched with the electrolysis demand. I After the size of U at both ends of the electrolytic cell is calculated, the size can be used as the reference value of the energy storage voltage. That is to say, in the method provided by the present invention, the voltage of the energy storage device Working voltage of electrolyzer After matching, the electrolysis current is obtained, the electrolysis voltage is determined based on the electrolysis current, and the energy storage device voltage is determined based on the electrolysis voltage.

[0031] When the energy storage device is in the charging state in the future period, the output power of the energy storage device needs to be subtracted from the expected power generation output by the photovoltaic power generation device to obtain the output power of the electrolysis device. Since the voltage across the electrolyzer remains basically unchanged, the output power of the electrolysis device can be used to calculate the electrolysis current of the electrolysis device in the future period by comparing it with the maximum output power of the photovoltaic power generation device. Based on the electrolysis current, the CO 2 Flow rate. It can be expressed by the formula: ; in, is the real-time output power of the photovoltaic power generation equipment in the future period, that is, the expected power generation. is the output power of the photovoltaic power generation equipment to the energy storage equipment, is the electrolysis current in the future period.

[0032] When the expected power generation equipment of the photovoltaic power generation equipment in the future time period is lower, the operating state of the energy storage device in the future time period is discharging, which is used to supplement the insufficient output power of the photovoltaic power generation equipment. In this case, the output power of the energy storage device to the electrolysis equipment in the future time period is the difference between the first preset power threshold and the expected power generation power.

[0033] In this way, it is possible to dynamically adjust CO according to the fluctuation of photovoltaic power supply. 2 During the peak period of photovoltaic power supply, increase the supply of CO 2 Supply to improve electrolysis efficiency; when power supply is low, supply should be appropriately reduced to avoid material waste.

[0034] Furthermore, the above is to predetermine the control amount of the future time period before the future time period arrives, and abnormal conditions may occur when the future time period actually arrives. In the method provided by the present invention, further, after determining the operating status data of the energy storage device in the future time period based on the expected power generation, it includes: In the future period, the real-time power generation of photovoltaic power generation equipment is obtained in real time; When the real-time power generation of the photovoltaic power generation device decreases by more than a preset amount or is interrupted, the energy storage device is controlled to immediately switch to a discharge state, and the discharge power is higher than a third preset power threshold.

[0035] When the discharge power of the energy storage device is higher than the third preset power threshold, the energy storage device is in a fast discharge mode. In the method provided by the present invention, a real-time monitoring and early warning system can be integrated into the system to detect sudden changes in lighting conditions or power outages. Once it is detected that the photovoltaic power supply drops below a preset threshold (e.g., a sudden drop or interruption), the energy storage system (e.g., a battery pack) will immediately start the fast discharge mode to maintain the operation of the electrolyzer.

[0036] In the future period, the capacity of the energy storage device is controlled to meet the preset conditions, which are: ; in, is the capacity of the energy storage device, is the power demand of the electrolysis equipment, is the preset photovoltaic power generation interruption time, The efficiency of the energy storage device.

[0037] In order to ensure that when the photovoltaic power supply suddenly drops or is interrupted, the energy storage system has sufficient capacity to maintain the basic operation of the electrolyzer until the photovoltaic power supply is restored or other measures are taken. It is necessary to ensure that the energy stored in the energy storage device should be at least equal to the capacity requirement of the electrolyzer. If the state of the energy storage device in the future time period is determined to be discharging based on the expected power generation, the expected storage energy of the energy storage device before the future time period is determined. The expected storage energy can be determined by the energy of the energy storage device at the current moment and the expected power generation for the time period at the current moment. That is to say, before the time period at the current moment, the time period at the current moment is taken as the future time period, and the expected power generation power of the photovoltaic power generation device at the current time period is obtained by the method described above. After obtaining the expected storage energy, based on the expected storage energy and the power generation power obtained in the previous text , determine the maximum duration that the energy storage device can supply power to the electrolysis device in the future period. If this duration is less than the duration of the future period, reduce the required power of the electrolysis device in the future period.

[0038] After controlling the photovoltaic power generation equipment to switch to the discharge state immediately, it includes: Reduce the power demand of the electrolysis equipment by presetting control instructions; The preset control instructions include at least one of: an instruction to control the shutdown of some electrolytic units of the electrolytic equipment and an instruction to control the reduction of the current density of the electrolytic equipment, and the importance of some electrolytic units is lower than that of other electrolytic units in the electrolytic equipment.

[0039] The method provided by the present invention dynamically adjusts the CO 2 The strategy uses advanced forecasting technology and control strategies to adapt to rapid power fluctuations caused by changes in cloud cover, atmospheric conditions, and the position of the sun, so that the mixed gas production tracks changes in light. Combined with the current charge level of the energy storage system, the electrolysis load is intelligently distributed. When photovoltaic power generation is at its peak, the electrolysis load is increased to absorb excess energy; when light is insufficient, the electrolysis load is reduced or the energy storage system is used to supply power to ensure the continuity and efficiency of the electrolysis process.

[0040] In addition, by accurately modeling the dynamic characteristics of the photovoltaic system and the electrolyzer, a collaborative optimization algorithm was developed to achieve efficient energy matching between the two. Through the coordination of multiple systems such as catalysis, electrolysis, power supply, and materials, it is possible to use CO2 to generate electricity under fluctuating photovoltaic power supply conditions. 2 The algorithm takes into account the photovoltaic conversion efficiency, temperature coefficient, light intensity of the photovoltaic panel, the resistance, electrolysis efficiency and CO 2By implementing a feedback control mechanism, the system is able to adjust the PV output based on real-time data to meet the electrolysis demand, thereby increasing the electrolysis load or storing energy when there is excess PV power generation, and supplementing the power with the energy storage system when there is insufficient PV power generation.

[0041] Furthermore, in the method provided by the present invention, when the electrolyzer is started, CO 2 After the electrolysis process, in addition to adjusting the load of the electrolyzer according to the previous content, the operating status of the electrolyzer is also monitored in real time, including parameters such as current, voltage, temperature and pressure, to ensure the stability and efficiency of the electrolysis process. Specifically, after confirming that the photovoltaic power supply and energy storage system are ready, the electrolyzer is started, and detailed data of the electrolysis process is collected through the temperature and pressure sensors installed in the electrolyzer, as well as the current and voltage monitoring equipment. Monitor current I , voltage U, temperature T and pressure P, the electrolysis efficiency is calculated by the formula calculate.

[0042] The following is a CO2-based off-grid photovoltaic system provided by the present invention. 2 The flexible control device for electrolysis load is described below. 2 The flexible control device for electrolysis load and the CO2-based off-grid photovoltaic system described above 2 The flexible control methods of electrolytic load can be referenced to each other. Figure 3 As shown, the CO2-based off-grid photovoltaic system provided by the present invention 2 The electrolysis load flexible control device includes the following modules: The photovoltaic power generation prediction module 310 is used to obtain the light change data from the current moment to the future time period, and determine the expected power generation power of the photovoltaic power generation equipment in the future time period based on the light change data and the power generation power of the photovoltaic power generation equipment at the current moment; The energy storage state prediction module 320 is used to determine the operation state data of the energy storage device in the future period based on the expected power generation; The electrolysis load adjustment module 330 is used to determine the carbon dioxide flow rate of the electrolysis equipment in the future period based on the expected power generation and the operation status data.

[0043] Figure 4 An example of a physical structure diagram of an electronic device is shown in FIG. Figure 4 As shown, the electronic device may include: a processor (processor) 410, a communication interface (Communications Interface) 4 2 0, memory 430 and communication bus 440, wherein the processor 410, the communication interface 4 20, the memory 430 communicates with each other through the communication bus 440. The processor 410 can call the logic instructions in the memory 430 to execute the CO2-based off-grid photovoltaic consumption. 2 A flexible control method for electrolysis load, the method is applied to an electrolysis system, the electrolysis system includes: photovoltaic power generation equipment, electrolysis equipment and energy storage equipment, the photovoltaic power generation equipment, electrolysis equipment and energy storage equipment are all connected to a DC bus, and the electrolysis equipment is a carbon dioxide electrolysis equipment; the method includes: obtaining light change data from the current moment to a future time period, determining the expected power generation power of the photovoltaic power generation equipment in the future time period based on the light change data and the power generation power of the photovoltaic power generation equipment at the current moment; determining the operating status data of the energy storage equipment in the future time period based on the expected power generation; and determining the carbon dioxide flow of the electrolysis equipment in the future time period based on the expected power generation and the operating status data.

[0044] In addition, the logic instructions in the above-mentioned memory 430 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[0045] On the other hand, the present invention further provides a computer program product, the computer program product comprising a computer program, the computer program can be stored on a non-transitory computer-readable storage medium, and when the computer program is executed by a processor, the computer can execute the CO2 emission reduction scheme for off-grid photovoltaic consumption provided by the above methods. 2 A flexible control method for electrolysis load, the method is applied to an electrolysis system, the electrolysis system includes: photovoltaic power generation equipment, electrolysis equipment and energy storage equipment, the photovoltaic power generation equipment, electrolysis equipment and energy storage equipment are all connected to a DC bus, and the electrolysis equipment is a carbon dioxide electrolysis equipment; the method includes: obtaining light change data from the current moment to a future time period, determining the expected power generation power of the photovoltaic power generation equipment in the future time period based on the light change data and the power generation power of the photovoltaic power generation equipment at the current moment; determining the operating status data of the energy storage equipment in the future time period based on the expected power generation; and determining the carbon dioxide flow of the electrolysis equipment in the future time period based on the expected power generation and the operating status data.

[0046] In another aspect, the present invention further provides a non-transitory computer-readable storage medium having a computer program stored thereon, which is executed by a processor to implement the CO2-based off-grid photovoltaic consumption provided by the above methods. 2 A flexible control method for electrolysis load, the method is applied to an electrolysis system, the electrolysis system includes: photovoltaic power generation equipment, electrolysis equipment and energy storage equipment, the photovoltaic power generation equipment, electrolysis equipment and energy storage equipment are all connected to a DC bus, and the electrolysis equipment is a carbon dioxide electrolysis equipment; the method includes: obtaining light change data from the current moment to a future time period, determining the expected power generation power of the photovoltaic power generation equipment in the future time period based on the light change data and the power generation power of the photovoltaic power generation equipment at the current moment; determining the operating status data of the energy storage equipment in the future time period based on the expected power generation; and determining the carbon dioxide flow of the electrolysis equipment in the future time period based on the expected power generation and the operating status data.

[0047] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0048] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0049] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A flexible control method for CO2 electrolysis load for off-grid photovoltaic consumption, characterized in that: Applied in an electrolysis system, the electrolysis system comprises: a photovoltaic power generation device, an electrolysis device and an energy storage device, the photovoltaic power generation device, the electrolysis device and the energy storage device are all connected to a DC bus, and the electrolysis device is a carbon dioxide electrolysis device; The method comprises: Acquire light variation data from the current moment to a future time period, and determine the estimated power generation power of the photovoltaic power generation equipment in the future time period based on the light variation data and the power generation power of the photovoltaic power generation equipment at the current moment; Determining the operating status data of the energy storage device in the future period based on the expected generated power; The carbon dioxide flow rate of the electrolysis device in the future period is determined based on the expected power generation and the operating status data.

2. The method for flexible control of CO2 electrolysis load for off-grid photovoltaic consumption according to claim 1, characterized in that: The determining the operating status data of the energy storage device in the future period based on the expected generated power includes: When the estimated generated power is greater than a first preset power threshold, determining that the operating state of the energy storage device in the future time period is charging; When the predicted generated power is less than the first preset power threshold, it is determined that the operating state of the energy storage device in the future time period is discharging.

3. The method for flexible control of CO2 electrolysis load for off-grid photovoltaic consumption according to claim 2 is characterized in that: The step of determining the carbon dioxide flow rate of the electrolysis device in the future period based on the expected power generation and the operating status data comprises: When the operating state of the energy storage device in the future time period is charging, determining the electrolysis current of the electrolysis device in the future time period based on the difference between the expected power generation power and the charging power of the energy storage device; When the operating state of the energy storage device in the future time period is discharging, determining the electrolysis current of the electrolysis device in the future time period based on the first preset power threshold; Based on the pre-established correspondence between the electrolysis current and the carbon dioxide flow rate of the electrolysis device, the carbon dioxide flow rate of the electrolysis device in the future period is determined.

4. The method for flexible control of CO2 electrolysis load for off-grid photovoltaic consumption according to claim 1, characterized in that: After determining the operating status data of the energy storage device in the future period based on the expected generated power, the method further comprises: In the future period, real-time generation power of the photovoltaic power generation equipment is obtained; When the real-time power generation power of the photovoltaic power generation device decreases by more than a preset amount or is interrupted, the energy storage device is controlled to immediately switch to a discharge state, and the discharge power is higher than a third preset power threshold.

5. The method for flexible control of CO2 electrolysis load for off-grid photovoltaic consumption according to claim 4 is characterized in that: In the future period, the capacity of the energy storage device is controlled to meet a preset condition, wherein the preset condition is: ； in, is the capacity of the energy storage device, is the power requirement of the electrolysis equipment, is the preset photovoltaic power generation interruption time, is the efficiency of the energy storage device.

6. The method for flexible control of CO2 electrolysis load for off-grid photovoltaic consumption according to claim 4 is characterized in that: After the photovoltaic power generation equipment is controlled to immediately switch to a discharge state, the method includes: Reducing the power demand of the electrolysis equipment by preset control instructions; The preset control instructions include at least one of: an instruction to control the shutdown of some electrolysis units of the electrolysis equipment and an instruction to control the reduction of the current density of the electrolysis equipment, and the importance of some electrolysis units is lower than that of other electrolysis units in the electrolysis equipment.

7. A CO2 electrolysis load flexible control device for off-grid photovoltaic consumption, characterized in that: Applied in an electrolysis system, the electrolysis system comprises: a photovoltaic power generation device, an electrolysis device and an energy storage device, the photovoltaic power generation device, the electrolysis device and the energy storage device are all connected to a DC bus, and the electrolysis device is a carbon dioxide electrolysis device; The device comprises: A photovoltaic power generation prediction module is used to obtain the light change data from the current moment to the future time period, and determine the expected power generation power of the photovoltaic power generation equipment in the future time period based on the light change data and the power generation power of the photovoltaic power generation equipment at the current moment; An energy storage state prediction module, used to determine the operating state data of the energy storage device in the future period based on the expected power generation; The electrolysis load adjustment module is used to determine the carbon dioxide flow rate of the electrolysis equipment in the future period based on the expected power generation and the operation status data.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, it implements the flexible control method of CO2 electrolysis load for off-grid photovoltaic consumption as described in any one of claims 1 to 6.

9. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the flexible control method of CO2 electrolysis load for off-grid photovoltaic consumption as described in any one of claims 1 to 6 is implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the flexible control method of CO2 electrolysis load for off-grid photovoltaic consumption as described in any one of claims 1 to 6 is implemented.

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