Control method and device of distributed energy system
By obtaining the power generation power of renewable energy equipment, the power of energy storage batteries and the reserves of hydrogen energy, and generating a control strategy set, the problem of poor power supply stability of renewable energy power generation systems is solved, and the effect of stable load power supply and power storage is achieved.
Patent Information
- Application Number
- CN202411996262.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-31
- Publication Date
- 2025-04-08
AI Technical Summary
Renewable energy power generation systems, especially wind and photovoltaic power generation, have intermittent and volatility, resulting in poor grid power supply stability, and no effective solution has been proposed in the prior art.
By obtaining the power generation power of renewable energy equipment, the power of energy storage batteries and the reserves of hydrogen energy, comparing the power generation power of renewable energy equipment with the required power of loads, and generating a control strategy set, including controlling energy storage batteries and hydrogen fuel cells to power the load, and utilizing energy storage batteries and hydrogen fuel cells to perform electricity storage.
When the power generation power of renewable energy equipment is insufficient, power supply is coordinated through energy storage batteries and hydrogen fuel cells to ensure stable power supply; when the power generation power is sufficient, the remaining power is stored to improve the overall power supply stability of the system.
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Figure CN119787408A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of energy utilization, and in particular to a control method and device for a distributed energy system. Background Art
[0002] In recent years, as environmental pollution issues have become increasingly prominent, countries around the world have attached great importance to the development of new energy. Photovoltaic power generation and wind power generation, as renewable energy sources, have won wide attention for their high efficiency, cleanliness, and sustainable "zero carbon" characteristics, and have developed rapidly in my country. my country's wind and solar resources are very rich, but the regionalization trend is also very obvious, resulting in a poor match between resources and demand in time and space, resulting in energy waste. To rationally utilize wind and solar resources, it is necessary to add energy conversion and storage links to achieve optimal resource allocation.
[0003] At present, there are still some problems with renewable energy power generation systems:
[0004] 1. Wind and solar power generation is often concentrated in specific time periods, such as when the sunlight is strong during the day or in windy seasons. This often causes a mismatch in time and space between the amount of electricity connected to the grid and the amount of electricity that can be accepted by the external power grid, and results in poor regulation capabilities.
[0005] 2. Renewable energy generation, especially wind and solar power generation, has the characteristics of intermittency and volatility, which also brings challenges to the security and stability of the power grid.
[0006] To address the above-mentioned problems, no effective solution has been proposed yet. Summary of the invention
[0007] The embodiments of the present invention provide a control method and device for a distributed energy system, so as to at least solve the technical problem that the power supply stability of renewable energy to a power grid is poor.
[0008] According to one aspect of an embodiment of the present invention, a control method for a distributed energy system is provided, comprising: acquiring energy information of the energy system, the energy information comprising: the power generation of renewable energy equipment, the power of an energy storage battery, and the reserves of hydrogen energy, wherein the renewable energy equipment comprises solar panels and wind turbines; comparing the power generation of the renewable energy equipment with the power demand of a load to obtain a comparison result; generating a control strategy set based on the comparison result, the power of the energy storage battery, and the reserves of hydrogen energy, wherein the control strategy set comprises: controlling the energy storage battery to power the load, controlling the hydrogen fuel cell to power the load, the renewable energy equipment using the energy storage battery to store energy, and the renewable energy equipment using the water electrolysis hydrogen production equipment to store energy.
[0009] Furthermore, energy information of the energy system is obtained, including: collecting environmental information, the environmental information including: light intensity and wind speed; inputting the light intensity into a first deep reinforcement learning model to obtain the power generation of the solar panel; inputting the wind speed into a second deep reinforcement learning model to obtain the power generation of the wind generator; and obtaining the power generation of the renewable energy equipment according to the power generation of the solar panel and the power generation of the wind generator.
[0010] Furthermore, based on the comparison result, the power of the energy storage battery and the reserves of hydrogen energy, a control strategy set is generated, including: when the power generation power of the renewable energy device is less than the required power of the load, judging whether the power of the energy storage battery is greater than a first preset power; if so, generating a first control strategy in the control strategy set, wherein the first control strategy is used to control the energy storage battery to supply power to the load.
[0011] Furthermore, based on the comparison result, the power of the energy storage battery and the reserves of hydrogen energy, a control strategy set is generated, including: when the power generation power of the renewable energy device is less than the required power of the load, judging whether the power of the energy storage battery is greater than a first preset power; if so, generating a second control strategy in the control strategy set, wherein the second control strategy is used to control the energy storage battery to power the load and to control the hydrogen fuel cell to power the load.
[0012] Furthermore, based on the comparison result, the power of the energy storage battery and the reserves of hydrogen energy, a control strategy set is generated, which also includes: when the power generation power of the renewable energy equipment is less than the required power of the load and the power of the energy storage battery is less than or equal to the first preset power, a third control strategy in the control strategy set is generated, wherein the third control strategy is used to control the hydrogen fuel cell to power the load.
[0013] Furthermore, based on the comparison result, the power of the energy storage battery and the reserves of hydrogen energy, a control strategy set is generated, including: when the power generation power of the renewable energy device is greater than the required power of the load, judging whether the power of the energy storage battery is greater than or equal to the second preset power; if so, judging whether the reserves of hydrogen energy are less than the preset reserves; if so, generating a fourth control strategy in the control strategy set, wherein the fourth control strategy is used to control the renewable energy device to store energy using the water electrolysis hydrogen production equipment.
[0014] Furthermore, when the power generation power of the renewable energy device is greater than the required power of the load and the power of the energy storage battery is less than the second preset power, the fifth control strategy in the control strategy set is generated, wherein the fifth control strategy is used to control the renewable energy device to use the energy storage battery device to store energy.
[0015] According to another aspect of an embodiment of the present invention, a control device for a distributed energy system is also provided, including: an acquisition module, the acquisition module is used to acquire energy information of the energy system, the energy information includes: the power generation of the renewable energy equipment, the power of the energy storage battery and the hydrogen energy reserves, wherein the renewable energy equipment includes solar panels and wind turbines; a comparison module, the comparison module is used to compare the power generation of the renewable energy equipment with the required power of the load to obtain a comparison result; a generation module, the generation module is used to generate a control strategy set based on the comparison result, the power of the energy storage battery and the hydrogen energy reserves, wherein the control strategy set includes: controlling the energy storage battery to power the load, controlling the hydrogen fuel cell to power the load, the renewable energy equipment using the energy storage battery to store energy, and the renewable energy equipment using the water electrolysis hydrogen production equipment to store energy.
[0016] According to another aspect of an embodiment of the present invention, a computer storage medium is further provided. The computer storage medium includes a stored program, wherein when the program is running, the device where the computer storage medium is located is controlled to execute the above control method.
[0017] According to another aspect of an embodiment of the present invention, a computer program product is provided, including a computer program, wherein the computer program implements the above control method when executed by a processor.
[0018] In an embodiment of the present invention, the power generation power of the renewable energy device is compared with the power demand of the load, and a control strategy set is generated based on the comparison result, the power of the energy storage battery, and the reserve of hydrogen energy, so that when the power generation power of the renewable energy device is insufficient, the energy storage battery and the hydrogen fuel cell are used to coordinate with the renewable energy device to supply power to the load, and when the power generation power of the renewable energy device is sufficient, the remaining power is stored in the energy storage battery and / or the hydrogen fuel cell, thereby ensuring that the distributed energy system provides stable power supply to the load. BRIEF DESCRIPTION OF THE DRAWINGS
[0019] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of this application. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:
[0020] Figure 1 is a hardware structure block diagram of a computer terminal (or mobile device) for implementing a control method for a distributed energy system according to an embodiment of the present invention;
[0021] Figure 2 is a flow chart of a control method for a distributed energy system according to an embodiment of the present invention;
[0022] Figure 3 4 is a structural block diagram of a control device for a distributed energy system according to an embodiment of the present invention. DETAILED DESCRIPTION
[0023] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only 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 should fall within the scope of protection of the present invention.
[0024] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.
[0025] Example 1
[0026] According to an embodiment of the present invention, an embodiment of a control method for a distributed energy system is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.
[0027] Figure 1 1 is a hardware structure block diagram of a computer terminal (or mobile device) for implementing a control method for a distributed energy system according to an embodiment of the present invention. Figure 1 As shown, the computer terminal (or mobile device) may include one or more processors 102 (the processor may include but is not limited to a central processing unit (CPU), a graphics processing unit (GPU), a digital signal processing (DSP) chip, a microprocessor (MCU), a field programmable logic device (FPGA), a neural network processor (NPU), a tensor processing unit (TPU), an artificial intelligence (AI) type processor, etc.) and a memory 104 for storing data. In addition, a transmission device 106 for communication functions, an input and output device 108, and a display 110 may also be included. It can be understood by those skilled in the art that Figure 1The structure shown is for illustration only and does not limit the structure of the above-mentioned computer terminal (or mobile device). For example, the computer terminal may also include more or fewer components than the above-mentioned structure description, or have a configuration different from the above-mentioned structure description.
[0028] The memory 104 can be used to store computer programs, for example, software programs and modules of application software, such as the computer program corresponding to the control method of the distributed energy system in the embodiment of the present invention. The processor 102 executes various functional applications and data processing by running the computer program stored in the memory 104, that is, the control method of the distributed energy system described above is realized. The memory 104 may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include a memory remotely arranged relative to the processor 102, and these remote memories may be connected to the mobile terminal via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.
[0029] The transmission device 106 is used to receive or send data via a network. The specific example of the above network may include a wireless network provided by a communication provider of the mobile terminal. In one example, the transmission device 106 includes a network adapter (Network Interface Controller, referred to as NIC), which can be connected to other network devices through a base station so as to communicate with the Internet. In one example, the transmission device 106 can be a radio frequency (RF) module, which is used to communicate with the Internet wirelessly.
[0030] The display 110 may be a touch screen type liquid crystal display (LCD). The liquid crystal display may enable a user to interact with a user interface of the mobile terminal. In some embodiments, the mobile terminal has a graphical user interface (GUI), and a user may interact with the GUI by finger contact and / or gestures on a touch-sensitive surface, wherein the human-computer interaction functions here may optionally include the following interactions: creating web pages, drawing, word processing, making electronic documents, games, video conferencing, instant messaging, sending and receiving emails, call interfaces, playing digital videos, playing digital music and / or web browsing, etc. Executable instructions for performing the above human-computer interaction functions are configured / stored in a computer program product or readable storage medium executable by one or more processors.
[0031] Figure 2 is a flow chart of a control method for a distributed energy system according to one embodiment of the present invention. Figure 2 As shown, the process includes the following steps:
[0032] Step S1: Obtain energy information of the energy system, the energy information includes: the power generation of renewable energy equipment, the power of energy storage batteries and the reserves of hydrogen energy, wherein the renewable energy equipment includes solar panels and wind turbines.
[0033] It should be noted that the power of the energy storage battery refers to the remaining power of the energy storage battery, which is generally expressed as a percentage; hydrogen energy is stored in a storage tank, and the hydrogen energy reserves refer to the remaining hydrogen energy reserves in the storage tank, which is generally expressed as a percentage.
[0034] Step S2: Compare the power generation of the renewable energy device with the power demand of the load to obtain a comparison result.
[0035] Step S3: Based on the comparison result, the power of the energy storage battery and the reserve of hydrogen energy, a control strategy set is generated, wherein the control strategy set includes: controlling the energy storage battery to power the load, controlling the hydrogen fuel cell to power the load, the renewable energy equipment using the energy storage battery to store energy, and the renewable energy equipment using the water electrolysis hydrogen production equipment to store energy.
[0036] In an embodiment of the present application, the power generation power of the renewable energy device is compared with the power demand of the load, and a control strategy set is generated based on the comparison result, the power of the energy storage battery, and the hydrogen energy reserves, so that when the power generation power of the renewable energy device is insufficient, the energy storage battery and the hydrogen fuel cell are used to coordinate with the renewable energy device to power the load, and when the power generation power of the renewable energy device is sufficient, the remaining power is stored in the energy storage battery and / or hydrogen fuel cell, thereby ensuring that the distributed energy system provides stable power supply to the load.
[0037] In an exemplary embodiment of the present application, obtaining energy information of the energy system in step S1 includes the following steps:
[0038] Step S11: Collect environmental information, which includes light intensity and wind speed.
[0039] Step S12: Input the light intensity into the first deep reinforcement learning model to obtain the power generated by the solar panel.
[0040] It should be noted that multiple sets of light intensity and solar panel power generation under corresponding light intensity are collected, and the first machine model is selected and trained according to the light intensity and the solar panel power generation. Based on the trained first machine model, the first deep reinforcement learning model is obtained; the network parameters of the first deep reinforcement learning model are adjusted by using the reward function to update the first deep reinforcement learning model. Among them, the transfer learning technology is used to speed up the model training and convergence speed and improve the adaptability.
[0041] Step S13: Input the wind speed into the second deep reinforcement learning model to obtain the power generated by the wind turbine.
[0042] It should be noted that multiple sets of wind speeds and wind turbine power generation under corresponding wind speeds are collected, and the second machine model is selected and trained according to the wind speed and wind turbine power generation. Based on the trained second machine model, the second deep reinforcement learning model is obtained; the network parameters of the second deep reinforcement learning model are adjusted by using the reward function to update the second deep reinforcement learning model. Among them, the transfer learning technology is used to speed up the model training and convergence speed and improve the adaptability.
[0043] Step S14: The power generation of the renewable energy device is obtained according to the power generation of the solar panel and the power generation of the wind turbine.
[0044] In the above steps S11 to S14, the power generation power of the solar panel is predicted in real time through the first deep reinforcement learning model, and the power generation power of the wind turbine is predicted in real time through the second deep reinforcement learning model, so as to cope with the frequent fluctuations of the power generation power and the inability to collect the power generation power in real time.
[0045] In an exemplary embodiment of the present application, in step S3, a control strategy set is generated based on the comparison result, the power of the energy storage battery and the reserves of hydrogen energy, including: when the power generation power of the renewable energy device is less than the required power of the load, judging whether the power of the energy storage battery is greater than a first preset power; if so, generating a first control strategy in the control strategy set, wherein the first control strategy is used to control the energy storage battery to power the load.
[0046] It should be noted that the load is an external power grid load. The power generation power of the renewable energy device is less than the power demand of the load, which means that the electricity generated by the renewable energy device cannot meet the power demand of the load. While the renewable energy device is supplying power, energy storage batteries and / or hydrogen fuel cells are required to assist in powering the load. Among them, the first preset power is calibrated according to actual demand. The first preset power refers to the remaining power after meeting the power demand of the energy storage battery itself. For example, 10% of the power of the energy storage battery is used for the energy storage battery's own consumption. Then, when the power of the energy storage battery is greater than 10%, it can power the load.
[0047] In an exemplary embodiment of the present application, in step S3, a control strategy set is generated based on the comparison result, the power of the energy storage battery and the reserve of hydrogen energy, including: when the power generation power of the renewable energy device is less than the required power of the load, judging whether the power of the energy storage battery is greater than a first preset power; if so, generating a second control strategy in the control strategy set, wherein the second control strategy is used to control the energy storage battery to power the load and to control the hydrogen fuel cell to power the load.
[0048] It should be noted that the load is an external power grid load. The power generation power of the renewable energy device is less than the power demand of the load, which means that the electric energy generated by the renewable energy device cannot meet the power demand of the load. While the renewable energy device is supplying power, energy storage batteries and / or hydrogen fuel cells are required to assist in powering the load. Among them, the first preset power is calibrated according to actual demand. The first preset power refers to the remaining power after meeting the power demand of the energy storage battery itself. For example, 10% of the power of the energy storage battery is used for the energy storage battery’s own consumption. Then, when the power of the energy storage battery is greater than 10%, it can power the load. In order to speed up the power supply, energy storage batteries and hydrogen fuel cells are used to power the load at the same time.
[0049] In an exemplary embodiment of the present application, in step S3, a control strategy set is generated based on the comparison result, the power of the energy storage battery and the reserve of hydrogen energy, and also includes: when the power generation power of the renewable energy device is less than the required power of the load and the power of the energy storage battery is less than or equal to the first preset power, a third control strategy in the control strategy set is generated, wherein the third control strategy is used to control the hydrogen fuel cell to power the load.
[0050] It should be noted that the load is an external power grid load. The power generation power of the renewable energy device is less than the required power of the load, which means that the electric energy generated by the renewable energy device cannot meet the power demand of the load. While the renewable energy device is supplying power, energy storage batteries and / or hydrogen fuel cells are required to assist in powering the load. Among them, the first preset power is calibrated according to actual demand. The first preset power refers to the remaining power after meeting the power demand of the energy storage battery itself. For example, 10% of the power of the energy storage battery is used for the energy storage battery's own consumption. If the power of the energy storage battery is less than or equal to 10%, it cannot supply power to the load. At this time, it is necessary to control the hydrogen fuel cell to supply power to the load.
[0051] In an exemplary embodiment of the present application, in step S2, a control strategy set is generated based on the comparison result, the power of the energy storage battery and the reserves of hydrogen energy, including: when the power generation power of the renewable energy device is greater than the required power of the load, judging whether the power of the energy storage battery is greater than or equal to the second preset power; if so, judging whether the reserves of hydrogen energy are less than the preset reserves; if so, generating a fourth control strategy in the control strategy set, wherein the fourth control strategy is used to control the renewable energy device to store energy using the water electrolysis hydrogen production equipment.
[0052] It should be noted that the load is the external power grid load. The power generation power of the renewable energy equipment is greater than the power demand of the load, which means that the electricity generated by the renewable energy equipment can meet the power demand of the load and there is still power left. At this time, the remaining power needs to be stored. Among them, the second preset power is calibrated according to actual needs. The second preset power refers to the power of the energy storage battery close to full power. If the energy storage battery is continuously charged, the energy storage battery will be overcharged. For example, the second preset power is 80%. The preset reserve is calibrated according to actual needs. The preset reserve refers to the hydrogen energy reserve close to a full tank. For example, the preset reserve is 80%. If the tank is continuously charged with hydrogen, it will exceed the rated pressure of the tank and cause damage to the tank.
[0053] Specifically, in the process of producing hydrogen by electrolysis of water, a large amount of heat is generated, which can be recovered. According to the fluctuation of the power generation of renewable energy equipment, the parameters of the electrolyzer are adjusted to improve the efficiency of hydrogen production and reduce energy consumption.
[0054] In an exemplary embodiment of the present application, when the power generation power of the renewable energy device is greater than the required power of the load and the power of the energy storage battery is less than a second preset power, a fifth control strategy in the control strategy set is generated, wherein the fifth control strategy is used to control the renewable energy device to use the energy storage battery device to store energy.
[0055] It should be noted that the load is an external power grid load. The power generation power of the renewable energy device is greater than the power demand of the load, which means that the electricity generated by the renewable energy device can meet the power demand of the load and there is still power left. At this time, the remaining power needs to be stored. Among them, the second preset power is calibrated according to actual needs. The second preset power refers to the power of the energy storage battery close to full power. If the energy storage battery is continuously charged, it will cause the energy storage battery to be overcharged. Then when the power of the energy storage battery is less than the second preset power, the energy storage battery can be charged.
[0056] According to another specific embodiment of the present application, a control device for a distributed energy system is also provided. Figure 3 As shown, it includes: an acquisition module, a comparison module and a generation module.
[0057] The acquisition module is used to acquire energy information of the energy system, and the energy information includes: the power generation of renewable energy equipment, the power of energy storage batteries and the reserves of hydrogen energy, wherein the renewable energy equipment includes solar panels and wind turbines.
[0058] The comparison module is used to compare the power generation of the renewable energy equipment with the required power of the load to obtain a comparison result.
[0059] The generation module is used to generate a control strategy set based on the comparison results, the power of the energy storage battery and the reserves of hydrogen energy, wherein the control strategy set includes: energy allocation strategy, the energy allocation strategy includes: controlling the energy storage battery to power the load, controlling the hydrogen fuel cell to power the load, renewable energy equipment using the energy storage battery to store energy, and renewable energy equipment using the water electrolysis hydrogen production equipment to store energy.
[0060] In an embodiment of the present application, the power generation power of the renewable energy device is compared with the power demand of the load, and a control strategy set is generated based on the comparison result, the power of the energy storage battery, and the hydrogen energy reserves, so that when the power generation power of the renewable energy device is insufficient, the energy storage battery and the hydrogen fuel cell are used to coordinate with the renewable energy device to power the load, and when the power generation power of the renewable energy device is sufficient, the remaining power is stored in the energy storage battery and / or hydrogen fuel cell, thereby ensuring that the distributed energy system provides stable power supply to the load.
[0061] According to another specific embodiment of the present application, a computer storage medium is also provided, and the computer storage medium includes a stored program, wherein when the program is running, the device where the computer storage medium is located is controlled to execute the control method in the above embodiment.
[0062] In this embodiment, the storage medium may be configured to store a computer program for performing the following steps:
[0063] Step S1: Obtain energy information of the energy system, the energy information includes: the power generation of renewable energy equipment, the power of energy storage batteries and the reserves of hydrogen energy, wherein the renewable energy equipment includes solar panels and wind turbines.
[0064] Step S2: Compare the power generation of the renewable energy device with the power demand of the load to obtain a comparison result.
[0065] Step S3: Based on the comparison result, the power of the energy storage battery and the reserve of hydrogen energy, a control strategy set is generated, wherein the control strategy set includes: controlling the energy storage battery to power the load, controlling the hydrogen fuel cell to power the load, the renewable energy equipment using the energy storage battery to store energy, and the renewable energy equipment using the water electrolysis hydrogen production equipment to store energy.
[0066] In an embodiment of the present application, the power generation power of the renewable energy device is compared with the power demand of the load, and a control strategy set is generated based on the comparison result, the power of the energy storage battery, and the hydrogen energy reserves, so that when the power generation power of the renewable energy device is insufficient, the energy storage battery and the hydrogen fuel cell are used to coordinate with the renewable energy device to power the load, and when the power generation power of the renewable energy device is sufficient, the remaining power is stored in the energy storage battery and / or hydrogen fuel cell, thereby ensuring that the distributed energy system provides stable power supply to the load.
[0067] According to another aspect of an embodiment of the present invention, a computer program product is provided, including a computer program, wherein the computer program implements the control method in the above embodiment when executed by a processor.
[0068] In this embodiment, the processor may be configured to perform the following steps through a computer program:
[0069] Step S1: Obtain energy information of the energy system, the energy information includes: the power generation of renewable energy equipment, the power of energy storage batteries and the reserves of hydrogen energy, wherein the renewable energy equipment includes solar panels and wind turbines.
[0070] Step S2: Compare the power generation of the renewable energy device with the power demand of the load to obtain a comparison result.
[0071] Step S3: Based on the comparison result, the power of the energy storage battery and the reserve of hydrogen energy, a control strategy set is generated, wherein the control strategy set includes: controlling the energy storage battery to power the load, controlling the hydrogen fuel cell to power the load, the renewable energy equipment using the energy storage battery to store energy, and the renewable energy equipment using the water electrolysis hydrogen production equipment to store energy.
[0072] In an embodiment of the present application, the power generation power of the renewable energy device is compared with the power demand of the load, and a control strategy set is generated based on the comparison result, the power of the energy storage battery, and the hydrogen energy reserves, so that when the power generation power of the renewable energy device is insufficient, the energy storage battery and the hydrogen fuel cell are used to coordinate with the renewable energy device to power the load, and when the power generation power of the renewable energy device is sufficient, the remaining power is stored in the energy storage battery and / or hydrogen fuel cell, thereby ensuring that the distributed energy system provides stable power supply to the load.
[0073] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.
[0074] In the above embodiments of the present invention, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.
[0075] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only schematic. For example, the division of the units can be a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.
[0076] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.
[0077] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.
[0078] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or 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, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk and other media that can store program codes.
[0079] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principle of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.
Claims
1. A control method for a distributed energy system, characterized in that: include: Acquiring energy information of the energy system, the energy information including: power generation of renewable energy equipment, power of energy storage batteries and hydrogen energy reserves, wherein the renewable energy equipment includes solar panels and wind turbines; Comparing the generated power of the renewable energy device with the required power of the load to obtain a comparison result; Based on the comparison result, the power of the energy storage battery and the reserve of the hydrogen energy, a control strategy set is generated, wherein the control strategy set includes: controlling the energy storage battery to power the load, controlling the hydrogen fuel cell to power the load, renewable energy equipment using the energy storage battery to store energy, and renewable energy equipment using the water electrolysis hydrogen production equipment to store energy.
2. The control method according to claim 1, characterized in that: Obtain energy information about the energy system, including: Collecting environmental information, the environmental information including: light intensity and wind speed; Inputting the light intensity into a first deep reinforcement learning model to obtain the power generated by the solar panel; Inputting the wind speed into a second deep reinforcement learning model to obtain the power generated by the wind turbine; The power generation power of the renewable energy device is obtained according to the power generation power of the solar panel and the power generation power of the wind turbine.
3. The control method according to claim 1, characterized in that: Based on the comparison result, the power of the energy storage battery and the reserve of the hydrogen energy, a control strategy set is generated, including: In the case where the power generated by the renewable energy device is less than the required power of the load, determining whether the power of the energy storage battery is greater than a first preset power; If yes, a first control strategy in the control strategy set is generated, wherein the first control strategy is used to control the energy storage battery to supply power to the load.
4. The control method according to claim 1, characterized in that: Based on the comparison result, the power of the energy storage battery and the reserve of the hydrogen energy, a control strategy set is generated, including: In the case where the power generated by the renewable energy device is less than the required power of the load, determining whether the power of the energy storage battery is greater than a first preset power; If yes, a second control strategy in the control strategy set is generated, wherein the second control strategy is used to control the energy storage battery to supply power to the load and to control the hydrogen fuel cell to supply power to the load.
5. The control method according to claim 3 or 4, characterized in that: Based on the comparison result, the power of the energy storage battery and the reserve of the hydrogen energy, a control strategy set is generated, which also includes: When the power generation power of the renewable energy device is less than the power demand of the load and the power of the energy storage battery is less than or equal to the first preset power, a third control strategy in the control strategy set is generated, wherein the third control strategy is used to control the hydrogen fuel cell to supply power to the load.
6. The control method according to claim 1, characterized in that: Based on the comparison result, the power of the energy storage battery and the reserve of the hydrogen energy, a control strategy set is generated, including: In the case where the power generated by the renewable energy device is greater than the required power of the load, determining whether the power of the energy storage battery is greater than or equal to a second preset power; If yes, determining whether the hydrogen energy reserve is less than a preset reserve; If yes, a fourth control strategy in the control strategy set is generated, wherein the fourth control strategy is used to control the renewable energy device to utilize the water electrolysis hydrogen production device to store energy.
7. The control method according to claim 6, characterized in that: When the power generation power of the renewable energy device is greater than the required power of the load and the power of the energy storage battery is less than the second preset power, a fifth control strategy in the control strategy set is generated, wherein the fifth control strategy is used to control the renewable energy device to use the energy storage battery device to store energy.
8. A control device for a distributed energy system, characterized in that: include: An acquisition module, the acquisition module is used to acquire energy information of the energy system, the energy information includes: the power generation of the renewable energy equipment, the power of the energy storage battery and the reserve of hydrogen energy, wherein the renewable energy equipment includes solar panels and wind turbines; A comparison module, the comparison module is used to compare the power generation of the renewable energy device with the required power of the load to obtain a comparison result; A generation module, the generation module is used to generate a control strategy set based on the comparison result, the power of the energy storage battery and the reserve of hydrogen energy, wherein the control strategy set includes: controlling the energy storage battery to power the load, controlling the hydrogen fuel cell to power the load, the renewable energy equipment using the energy storage battery to store energy, and the renewable energy equipment using the water electrolysis hydrogen production equipment to store energy.
9. A computer storage medium, characterized in that The computer storage medium includes a stored program, wherein when the program is executed, the device where the computer storage medium is located is controlled to execute the control method according to any one of claims 1 to 7.
10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the control method according to any one of claims 1 to 7 is implemented.
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