New energy comprehensive control method and device, electronic equipment and storage medium

Abstract

The invention discloses a new energy comprehensive control method and device, electronic equipment and a storage medium, and relates to the technical field of photovoltaic power generation, and the main technical scheme comprises the following steps: respectively obtaining first real-time system data and historical system data of a preset duration; generating a regulation and control instruction according to the real-time system data and the historical system data; and performing regulation and control according to the regulation and control instruction. Compared with the prior art, according to the embodiment of the invention, the regulation and control instruction is generated through the first real-time system data and the historical system data, devices in the system are uniformly coordinated and controlled, the voltage of the grid-connected point meets the design requirement, finally, automatic regulation and control of the voltage of the grid-connected point and the reactive power are achieved, reactive power distribution is reasonably coordinated and optimized, and the system reliability is improved. Safe and stable operation of a power grid is ensured, voltage quality is improved and active loss is reduced.

Description

Technical Field

[0001] The present disclosure relates to the field of photovoltaic power generation technology, and in particular to a new energy comprehensive control method and device, electronic equipment and storage medium. Background Art

[0002] With the widespread application of renewable energy, especially the rapid development of solar photovoltaic power generation, how to effectively manage and control these distributed energy sources has become an important issue. As one of the important sources of clean energy, the power generation of photovoltaic power stations is affected by many factors such as weather conditions and light intensity, so it has obvious intermittent and uncertainties. In order to ensure the stable operation of the power grid and efficient energy utilization, accurate power generation prediction, reactive voltage control and active power control of photovoltaic power stations are currently urgent issues to be solved. Summary of the invention

[0003] The present disclosure provides a new energy comprehensive control method, device, electronic device and storage medium, the main purpose of which is to solve the current urgent problem of accurate power generation prediction, reactive voltage control and active power control of photovoltaic power stations.

[0004] According to a first aspect of the present disclosure, a new energy integrated control method is provided, which includes:

[0005] Respectively obtain the first real-time system data and historical system data of a preset time period;

[0006] Generate control instructions according to the real-time system data and historical system data;

[0007] The control is performed according to the control instruction.

[0008] Optionally, before performing regulation according to the regulation instruction, the method further includes:

[0009] The control instructions are optimized according to the second real-time system data, and the optimized control instructions are disassembled to obtain control parameters for at least one device; wherein the second real-time system data is generated later than the first real-time system data.

[0010] Optionally, when the control instruction is active power control, optimizing the control instruction according to the second real-time system data and disassembling the control instruction to obtain the control parameters of at least one device includes:

[0011] The optimized control instructions are disassembled into active power target values ​​of a single inverter and an energy storage converter.

[0012] Optionally, when the control instruction is reactive power control, optimizing the control instruction according to the second real-time system data and disassembling the control instruction to obtain the control parameters of at least one device includes:

[0013] The optimized control instructions are disassembled into reactive power target values ​​of reactive compensation devices, inverters, on-load tap-changing transformers and energy storage converters.

[0014] Optionally, performing regulation according to the regulation instruction includes:

[0015] Performing control according to the active power target value of the single inverter and the energy storage converter; or

[0016] Control is performed according to the reactive power target values ​​of the reactive power compensation device, the inverter, the on-load tap-changing transformer and the energy storage converter.

[0017] According to a second aspect of the present disclosure, there is provided a new energy integrated control device, comprising:

[0018] An acquisition unit, used to respectively acquire first real-time system data and historical system data of a preset time period;

[0019] A generating unit, used for generating control instructions according to the real-time system data and the historical system data;

[0020] An execution unit is used to execute regulation according to the regulation instruction.

[0021] Optionally, the device further comprises:

[0022] A disassembly unit is used to optimize the control instruction according to the second real-time system data before the execution unit executes the control according to the control instruction, and disassemble the optimized control instruction to obtain control parameters for at least one device; wherein the second real-time system data is generated later than the first real-time system data.

[0023] Optionally, when the control instruction is active power control, the disassembly unit is further used for:

[0024] The optimized control instructions are disassembled into active power target values ​​of a single inverter and an energy storage converter.

[0025] Optionally, when the control instruction is reactive power control, the disassembly unit is further used for:

[0026] The optimized control instructions are disassembled into reactive power target values ​​of reactive compensation devices, inverters, on-load tap-changing transformers and energy storage converters.

[0027] Optionally, the execution unit is further used for:

[0028] Performing control according to the active power target value of the single inverter and the energy storage converter; or

[0029] Control is performed according to the reactive power target values ​​of the reactive power compensation device, the inverter, the on-load tap-changing transformer and the energy storage converter.

[0030] According to a third aspect of the present disclosure, there is provided an electronic device, including:

[0031] at least one processor; and

[0032] a memory communicatively connected to the at least one processor; wherein,

[0033] The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method described in the first aspect.

[0034] According to a fourth aspect of the present disclosure, a non-transitory computer-readable storage medium storing computer instructions is provided, wherein the computer instructions are used to enable the computer to execute the method described in the first aspect.

[0035] According to a fifth aspect of the present disclosure, a computer program product is provided, comprising a computer program, wherein when the computer program is executed by a processor, the computer program implements the method as described in the first aspect above.

[0036] The present disclosure provides a new energy comprehensive control method, device, electronic device and storage medium, and the main technical scheme includes: respectively obtaining the first real-time system data and historical system data of a preset time; generating a control instruction according to the real-time system data and the historical system data; and executing the control according to the control instruction. Compared with the related art, the embodiment itself generates a control instruction through the first real-time system data and the historical system data, coordinates and controls the devices in the system in a unified manner, so that the grid connection point voltage meets the design requirements, and finally realizes the automatic control of the grid connection point voltage and reactive power, reasonably coordinates and optimizes the reactive power distribution, ensures the safe and stable operation of the power grid, improves the voltage quality, and reduces the active power loss.

[0037] It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present application, nor is it intended to limit the scope of the present application. Other features of the present application will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] The accompanying drawings are used to better understand the present solution and do not constitute a limitation of the present disclosure.

[0039] Figure 1A schematic diagram of a flow chart of a new energy comprehensive control method provided by an embodiment of the present disclosure;

[0040] Figure 2 A schematic diagram of a flow chart of a new energy comprehensive control method provided by an embodiment of the present disclosure;

[0041] Figure 3 A schematic diagram of the structure of a new energy integrated control device provided in an embodiment of the present disclosure;

[0042] Figure 4 A schematic diagram of the structure of a new energy integrated control device provided in an embodiment of the present disclosure;

[0043] Figure 5 A schematic block diagram of an exemplary electronic device provided for an embodiment of the present disclosure. DETAILED DESCRIPTION

[0044] The following is a description of exemplary embodiments of the present disclosure in conjunction with the accompanying drawings, including various details of the embodiments of the present disclosure to facilitate understanding, which should be considered as merely exemplary. Therefore, it should be recognized by those of ordinary skill in the art that various changes and modifications may be made to the embodiments described herein without departing from the scope and spirit of the present disclosure. Similarly, for the sake of clarity and conciseness, descriptions of well-known functions and structures are omitted in the following description.

[0045] The new energy comprehensive control method, device, electronic device and storage medium of the embodiments of the present disclosure are described below with reference to the accompanying drawings.

[0046] Figure 1 A schematic flow chart of a new energy comprehensive control method provided in an embodiment of the present disclosure.

[0047] like Figure 1 As shown, the method comprises the following steps:

[0048] Step 101, respectively obtaining first real-time system data and historical system data of a preset time period;

[0049] Through various sensors and data acquisition equipment, the operating status of the new energy system is monitored in real time, including wind power, solar energy, temperature, humidity, pressure and other parameters. At the same time, it is also necessary to extract the system operation data over the past period of time from the historical database in order to conduct an in-depth analysis of the system's historical performance. The acquisition of these data requires not only high precision and high reliability, but also the ability to adapt to different environments and working conditions to ensure the accuracy of subsequent analysis and regulation.

[0050] In some embodiments, the selection range of historical system data can be determined according to the time range of real-time system data, such as historical data of the same time period as the real-time system data but different years, such as real-time data from 8:00 to 8:10 on January 1, 2024, then the historical system data can be selected from 8:00 to 8:10 on January 1, 2023. It should be noted that this description is only an exemplary description and is not a specific limitation on a specific time period, and the embodiments themselves do not limit this.

[0051] Step 102: Generate control instructions based on the real-time system data and historical system data.

[0052] In some embodiments, the collected real-time data and historical data can be deeply mined and analyzed according to the preset data processing algorithm and artificial intelligence technology. By processing the data, the optimizable space can be determined, and then targeted control instructions can be generated. The preset data processing algorithm and artificial intelligence technology can refer to any implementation method in the prior art, and the embodiments of this application will not be repeated here.

[0053] Step 103: Execute control according to the control instruction.

[0054] Based on the generated control instructions, the corresponding devices are controlled to reasonably coordinate and optimize the reactive power distribution, ensure the safe and stable operation of the power grid, improve the voltage quality and reduce the active power loss.

[0055] The comprehensive control method for new energy provided by the present disclosure mainly includes the following technical solutions: respectively obtaining the first real-time system data and the historical system data of a preset time; generating a control instruction according to the real-time system data and the historical system data; and executing the control according to the control instruction. Compared with the related art, the embodiment itself generates a control instruction through the first real-time system data and the historical system data, coordinates and controls the devices in the system in a unified manner, so that the grid connection point voltage meets the design requirements, and finally realizes the automatic control of the grid connection point voltage and reactive power, reasonably coordinates and optimizes the reactive power distribution, ensures the safe and stable operation of the power grid, improves the voltage quality, and reduces the active power loss.

[0056] In some embodiments, since there is a certain time delay in the generation of control instructions, data correction needs to be performed based on the latest real-time system data. Figure 2 , Figure 2 A schematic flow chart of a new energy comprehensive control method provided by an embodiment of the present disclosure. It includes:

[0057] Step 101, respectively obtaining first real-time system data and historical system data of a preset time period;

[0058] Through various sensors and data acquisition equipment, the operating status of the new energy system is monitored in real time, including wind power, solar energy, temperature, humidity, pressure and other parameters. At the same time, it is also necessary to extract the system operation data over the past period of time from the historical database in order to conduct an in-depth analysis of the system's historical performance. The acquisition of these data requires not only high precision and high reliability, but also the ability to adapt to different environments and working conditions to ensure the accuracy of subsequent analysis and regulation.

[0059] In some embodiments, the selection range of historical system data can be determined according to the time range of real-time system data, such as historical data of the same time period as the real-time system data but different years, such as real-time data from 8:00 to 8:10 on January 1, 2024, then the historical system data can be selected from 8:00 to 8:10 on January 1, 2023. It should be noted that this description is only an exemplary description and is not a specific limitation on a specific time period, and the embodiments themselves do not limit this.

[0060] Step 102: Generate control instructions based on the real-time system data and historical system data.

[0061] In some embodiments, the collected real-time data and historical data can be deeply mined and analyzed according to the preset data processing algorithm and artificial intelligence technology. By processing the data, the optimizable space can be determined, and then targeted control instructions can be generated. The preset data processing algorithm and artificial intelligence technology can refer to any implementation method in the prior art, and the embodiments of this application will not be repeated here.

[0062] Step 104 optimizes the control instructions according to the second real-time system data, and disassembles the optimized control instructions to obtain control parameters for at least one device; wherein the second real-time system data is generated later than the first real-time system data.

[0063] Optimize the original control instructions based on the latest real-time system data. Since the operating status of the new energy system will change with time and environment, the control instructions need to be constantly updated and adjusted to adapt to new situations. At the same time, the optimized control instructions need to be disassembled into specific device control parameters so that each device can accurately perform the corresponding operation.

[0064] Step 1041, decomposing the optimized control instruction into active power target values ​​of a single inverter and an energy storage converter.

[0065] In the case of active power regulation, the optimized regulation instructions need to be further decomposed into specific equipment control parameters, including the active power target values ​​of a single inverter and energy storage converter. By accurately setting the active power target values ​​of these devices, it can be ensured that the active power output of the entire new energy system meets the expected requirements. At the same time, this decomposition method also helps each device to perform the corresponding operations more accurately, improving the response speed and stability of the system.

[0066] Step 1042, decomposing the optimized control instruction into reactive power target values ​​of the reactive power compensation device, the inverter, the on-load tap-changing transformer and the energy storage converter.

[0067] Similar to active power control, when the control instruction is reactive power control, the optimized control instruction also needs to be disassembled into specific equipment control parameters, including reactive power target values ​​of reactive compensation devices, inverters, on-load tap-changing transformers, and energy storage converters. By accurately setting the reactive power target values ​​of these devices, it can be ensured that the reactive power output of the entire new energy system meets the expected requirements. This disassembly method also helps each device to perform the corresponding operations more accurately and improve the response speed and stability of the system. At the same time, it also helps to reduce reactive power losses in the power grid and improve the transmission efficiency and stability of the power grid.

[0068] Step 103: Execute control according to the control instruction.

[0069] Then step 103 also includes:

[0070] Performing control according to the active power target value of the single inverter and the energy storage converter; or

[0071] Control is performed according to the reactive power target values ​​of the reactive power compensation device, the inverter, the on-load tap-changing transformer and the energy storage converter.

[0072] The integrated communication management terminal realizes the collection of real-time data such as real-time information provided by the photovoltaic monitoring system, reactive power compensation device, booster station monitoring system, and energy storage monitoring system, as well as the generation of historical data and 10-minute average statistical data by providing corresponding communication interfaces and communication protocols, and uploads real-time and historical data to the new energy dispatch support master station system. The integrated communication management terminal receives the active power control command issued by the new energy dispatch support system and forwards it to the active power control module and energy storage monitoring system. The active power control module and energy storage monitoring system calculate the active power target value of a single inverter and energy storage converter through data optimization, and send it to the photovoltaic monitoring system, ultimately realizing active power closed-loop control.

[0073] The integrated communication management terminal obtains the reactive voltage control command issued by the China Dispatching New Energy Dispatching Technical Support System and forwards it to the reactive voltage control module. The reactive voltage control module compares the voltage at the grid-connected point with the real-time monitored voltage, calculates the control target setting value, and coordinates and controls the reactive compensation device, inverter, on-load tap-changing transformer, and energy storage converter in a unified and coordinated manner to ensure that the grid-connected point voltage meets the requirements, and ultimately realizes automatic control of the grid-connected point voltage and reactive power, reasonably coordinates and optimizes the reactive power distribution, ensures safe and stable operation of the power grid, improves voltage quality, and reduces active power loss.

[0074] Corresponding to the above-mentioned new energy comprehensive control method, the present invention also proposes a new energy comprehensive control device. Since the device embodiment of the present invention corresponds to the above-mentioned method embodiment, the details not disclosed in the device embodiment can be referred to the above-mentioned method embodiment, and will not be repeated in the present invention.

[0075] Figure 3 A schematic diagram of a new energy integrated control device provided in an embodiment of the present disclosure is shown in FIG. Figure 3 As shown, including:

[0076] An acquisition unit 21, used to respectively acquire first real-time system data and historical system data of a preset time period;

[0077] A generating unit 22, configured to generate a control instruction according to the real-time system data and the historical system data;

[0078] The execution unit 23 is used to execute regulation according to the regulation instruction.

[0079] The new energy integrated control device provided by the present disclosure has the following main technical solutions: respectively obtaining the first real-time system data and the historical system data of the preset duration; generating the control instruction according to the real-time system data and the historical system data; and executing the control according to the control instruction. Compared with the related art, the embodiment of the present disclosure generates the control instruction through the first real-time system data and the historical system data, coordinates and controls the devices in the system in a unified manner, so that the grid connection point voltage meets the design requirements, and finally realizes the automatic control of the grid connection point voltage and reactive power, reasonably coordinates and optimizes the reactive power distribution, ensures the safe and stable operation of the power grid, improves the voltage quality, and reduces the active power loss.

[0080] Furthermore, in a possible implementation of the embodiment of the present disclosure, as Figure 4 As shown, the device also includes:

[0081] The disassembly unit 24 is used to optimize the control instruction according to the second real-time system data and disassemble the optimized control instruction to obtain control parameters for at least one device before the execution unit 23 executes the control according to the control instruction; wherein the second real-time system data is generated later than the first real-time system data.

[0082] Furthermore, in a possible implementation of the embodiment of the present disclosure, as Figure 4 As shown, when the control instruction is active power control, the disassembly unit 24 is further used for:

[0083] The optimized control instructions are disassembled into active power target values ​​of a single inverter and an energy storage converter.

[0084] Furthermore, in a possible implementation of the embodiment of the present disclosure, as Figure 4 As shown, when the control instruction is reactive power control, the disassembly unit 24 is further used for:

[0085] The optimized control instructions are disassembled into reactive power target values ​​of reactive compensation devices, inverters, on-load tap-changing transformers and energy storage converters.

[0086] Furthermore, in a possible implementation of the embodiment of the present disclosure, as Figure 4 As shown, the execution unit 23 is also used for:

[0087] Performing control according to the active power target value of the single inverter and the energy storage converter; or

[0088] Control is performed according to the reactive power target values ​​of the reactive power compensation device, the inverter, the on-load tap-changing transformer and the energy storage converter.

[0089] It should be noted that the above explanation of the method embodiment is also applicable to the device of the embodiment of the present disclosure, and the principle is the same, which is no longer limited in the embodiment of the present disclosure.

[0090] According to an embodiment of the present disclosure, the present disclosure also provides an electronic device, a readable storage medium and a computer program product.

[0091] Figure 5A schematic block diagram of an example electronic device 400 that can be used to implement an embodiment of the present disclosure is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present disclosure described and / or required herein.

[0092] like Figure 5 As shown, the device 400 includes a computing unit 401, which can perform various appropriate actions and processes according to a computer program stored in a ROM (Read-Only Memory) 402 or a computer program loaded from a storage unit 408 to a RAM (Random Access Memory) 403. In the RAM 403, various programs and data required for the operation of the device 400 can also be stored. The computing unit 401, the ROM 402, and the RAM 403 are connected to each other via a bus 404. An I / O (Input / Output) interface 405 is also connected to the bus 404.

[0093] A number of components in the device 400 are connected to the I / O interface 405, including: an input unit 406, such as a keyboard, a mouse, etc.; an output unit 407, such as various types of displays, speakers, etc.; a storage unit 408, such as a disk, an optical disk, etc.; and a communication unit 409, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 409 allows the device 400 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0094] The computing unit 401 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the computing unit 401 include, but are not limited to, a CPU (Central Processing Unit), a GPU (Graphic Processing Units), various dedicated AI (Artificial Intelligence) computing chips, various computing units running machine learning model algorithms, a DSP (Digital Signal Processor), and any appropriate processor, controller, microcontroller, etc. The computing unit 401 performs the various methods and processes described above, such as a new energy integrated control method. For example, in some embodiments, the new energy integrated control method may be implemented as a computer software program, which is tangibly contained in a machine-readable medium, such as a storage unit 408. In some embodiments, part or all of the computer program may be loaded and / or installed on the device 400 via the ROM 402 and / or the communication unit 409. When the computer program is loaded into the RAM 403 and executed by the computing unit 401, one or more steps of the method described above may be performed. Alternatively, in other embodiments, the computing unit 401 may be configured to execute the aforementioned new energy comprehensive control method in any other appropriate manner (for example, by means of firmware).

[0095] Various embodiments of the systems and techniques described above herein may be implemented in digital electronic circuit systems, integrated circuit systems, FPGAs (Field Programmable Gate Arrays), ASICs (Application-Specific Integrated Circuits), ASSPs (Application Specific Standard Products), SOCs (System On Chips), CPLDs (Complex Programmable Logic Devices), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include: being implemented in one or more computer programs that may be executed and / or interpreted on a programmable system including at least one programmable processor that may be a special purpose or general purpose programmable processor that may receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0096] The program code for implementing the method of the present disclosure may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that the program code, when executed by the processor or controller, enables the functions / operations specified in the flow chart and / or block diagram to be implemented. The program code may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0097] In the context of the present disclosure, a machine-readable medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, device, or equipment. A machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or device, or any suitable combination of the foregoing. More specific examples of machine-readable storage media may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a RAM, a ROM, an EPROM (Electrically Programmable Read-Only-Memory) or a flash memory, an optical fiber, a CD-ROM (Compact Dis sc Read-Only Memory), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0098] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device (e.g., a CRT (Cathode-Ray Tube) or LCD (Liquid Crystal Display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or a trackball), through which the user can provide input to the computer. Other types of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0099] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: LAN (Local Area Network), WAN (Wide Area Network), the Internet, and blockchain networks.

[0100] A computer system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The relationship between the client and the server is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services ("Virtual Private Server", or "VPS" for short). The server may also be a server of a distributed system, or a server combined with a blockchain.

[0101] It should be noted that artificial intelligence is a discipline that studies how computers can simulate certain human thought processes and intelligent behaviors (such as learning, reasoning, thinking, planning, etc.), and includes both hardware-level and software-level technologies. Artificial intelligence hardware technologies generally include technologies such as sensors, dedicated artificial intelligence chips, cloud computing, distributed storage, and big data processing; artificial intelligence software technologies mainly include computer vision technology, speech recognition technology, natural language processing technology, as well as machine learning / deep learning, big data processing technology, knowledge graph technology, and other major directions.

[0102] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps recorded in this disclosure can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solutions disclosed in this disclosure can be achieved, and this document does not limit this.

[0103] The above specific implementations do not constitute a limitation on the protection scope of the present disclosure. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present disclosure shall be included in the protection scope of the present disclosure.

Claims

1. A new energy comprehensive control method, characterized in that: Said include: Respectively obtain the first real-time system data and historical system data of a preset time period; Generate control instructions according to the real-time system data and historical system data; The control is performed according to the control instruction.

2. The method according to claim 1, characterized in that Before performing regulation according to the regulation instruction, the method further includes: The control instructions are optimized according to the second real-time system data, and the optimized control instructions are disassembled to obtain control parameters for at least one device; wherein the second real-time system data is generated later than the first real-time system data.

3. The method according to claim 2, characterized in that In the case where the control instruction is active power control, the control instruction is optimized according to the second real-time system data, and is disassembled to obtain control parameters for at least one device, including: The optimized control instructions are disassembled into active power target values ​​of a single inverter and an energy storage converter.

4. The method according to claim 2, characterized in that: In the case where the control instruction is reactive power control, the control instruction is optimized according to the second real-time system data, and is disassembled to obtain control parameters for at least one device, including: The optimized control instructions are disassembled into reactive power target values ​​of reactive compensation devices, inverters, on-load tap-changing transformers and energy storage converters.

5. The method according to any one of claims 1 to 4, characterized in that The performing regulation according to the regulation instruction comprises: Performing control according to the active power target value of the single inverter and the energy storage converter; or Control is performed according to the reactive power target values ​​of the reactive power compensation device, the inverter, the on-load tap-changing transformer and the energy storage converter.

6. A new energy integrated control device, characterized in that: Said include: An acquisition unit, used to respectively acquire first real-time system data and historical system data of a preset time period; A generating unit, used for generating control instructions according to the real-time system data and the historical system data; An execution unit is used to execute regulation according to the regulation instruction.

7. The device according to claim 6, characterized in that The device also includes: A disassembly unit is used to optimize the control instruction according to the second real-time system data before the execution unit executes the control according to the control instruction, and disassemble the optimized control instruction to obtain control parameters for at least one device; wherein the second real-time system data is generated later than the first real-time system data.

8. An electronic device, characterized in that: include: at least one processor; as well as a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method according to any one of claims 1 to 5.

9. A non-transitory computer-readable storage medium storing computer instructions, characterized in that: The computer instructions are used to cause the computer to execute the method according to any one of claims 1-5.

10. A computer program product, characterized in that The invention comprises a computer program which, when executed by a processor, implements the method according to any one of claims 1 to 5.

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