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

Abstract

The present disclosure relates to the technical field of photovoltaic power generation. Disclosed are a new energy comprehensive control method and apparatus, and an electronic device and a storage medium. The main technical solution comprises: acquiring first real-time system data over a preset duration and historical system data; on the basis of the real-time system data and the historical system data, generating a regulation and control instruction; and on the basis of the regulation and control instruction, executing regulation and control. Compared with the related art, the embodiments of the present application involves the generation of a regulation and control instruction on the basis of first real-time system data and historical system data, so as to perform unified coordination and control on devices in a system, and thus the voltage at a grid connection point meets design requirements, thereby finally realizing automatic regulation and control of the voltage at the grid connection point and reactive power, and reasonably coordinating and optimizing reactive power distribution, and thereby ensuring the safe and stable operation of a power grid, improving voltage quality and reducing active power losses.

Description

New energy integrated control methods and devices, electronic equipment and storage media Technical Field

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

[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 a significant source of clean energy, photovoltaic power plants are affected by various factors such as weather conditions and sunlight intensity, thus exhibiting significant intermittency and uncertainty in their power generation. To ensure the stable operation of the power grid and efficient energy utilization, accurate power generation forecasting, reactive power and voltage control, and active power control of photovoltaic power plants are urgent problems to be solved. Summary of the Invention

[0003] This disclosure provides a comprehensive control method, device, electronic equipment, and storage medium for new energy sources. Its main purpose is to address the pressing problems of accurate power generation prediction, reactive power and voltage control, and active power control in photovoltaic power plants.

[0004] According to a first aspect of this disclosure, a comprehensive control method for new energy sources is provided, comprising:

[0005] Acquire the first real-time system data and historical system data for a preset duration;

[0006] Control commands are generated based on the real-time system data and historical system data;

[0007] Control is performed according to the control instructions.

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

[0009] The control command is optimized based on the second real-time system data, and the optimized control command is decomposed 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 command is active power control, the step of optimizing and decomposing the control command based on the second real-time system data to obtain control parameters for at least one device includes:

[0011] The optimized control command is broken down into the active power target values ​​of a single inverter and energy storage converter.

[0012] Optionally, when the control command is reactive power control, the step of optimizing and decomposing the control command based on the second real-time system data to obtain control parameters for at least one device includes:

[0013] The optimized control command is broken down into the reactive power target values ​​of the reactive power compensation device, inverter, on-load tap-changing transformer and energy storage converter.

[0014] Optionally, the step of performing control according to the control command includes:

[0015] Control is performed based on the active power target value of the single inverter and energy storage converter; or

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

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

[0018] The acquisition unit is used to acquire first real-time system data and historical system data for a preset duration, respectively.

[0019] The generation unit is used to generate control instructions based on the real-time system data and historical system data;

[0020] An execution unit is used to perform control according to the control instructions.

[0021] Optionally, the device further includes:

[0022] The disassembly unit is used to optimize the control command based on the second real-time system data before the execution unit performs control according to the control command, and to disassemble the optimized control command 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 command is active power control, the disassembly unit is further configured to:

[0024] The optimized control command is broken down into the active power target values ​​of a single inverter and energy storage converter.

[0025] Optionally, when the control command is reactive power control, the disassembly unit is further configured to:

[0026] The optimized control command is broken down into the reactive power target values ​​of the reactive power compensation device, inverter, on-load tap-changing transformer and energy storage converter.

[0027] Optionally, the execution unit is further configured to:

[0028] Control is performed based on the active power target value of the single inverter and energy storage converter; or

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

[0030] According to a third aspect of this disclosure, an electronic device is provided, comprising:

[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 to enable the at least one processor to perform the method described in the first aspect above.

[0034] According to a fourth aspect of this disclosure, a non-transitory computer-readable storage medium is provided storing computer instructions, wherein the computer instructions are configured to cause the computer to perform the method described in the first aspect above.

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

[0036] The new energy integrated control method, device, electronic equipment, and storage medium disclosed herein mainly include the following technical solutions: acquiring first real-time system data and historical system data for a preset duration; generating control instructions based on the real-time system data and historical system data; and executing control according to the control instructions. Compared with related technologies, this embodiment generates control instructions through first real-time system data and historical system data to uniformly coordinate and control the devices in the system, ensuring that the grid connection point voltage meets design requirements. Ultimately, it achieves automatic regulation of grid connection point voltage and reactive power, rationally coordinates and optimizes reactive power distribution, ensures the safe and stable operation of the power grid, improves voltage quality, and reduces active power loss.

[0037] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of this application, nor is it intended to limit the scope of this application. Other features of this application will become readily apparent from the following description. Attached Figure Description

[0038] The accompanying drawings are provided to better understand this solution and do not constitute a limitation of this disclosure. Wherein:

[0039] Figure 1 is a flowchart illustrating a comprehensive control method for new energy provided in an embodiment of this disclosure;

[0040] Figure 2 is a flowchart illustrating a comprehensive control method for new energy provided in an embodiment of this disclosure;

[0041] Figure 3 is a schematic diagram of a new energy integrated control device provided in an embodiment of this disclosure;

[0042] Figure 4 is a schematic diagram of a new energy integrated control device provided in an embodiment of this disclosure;

[0043] Figure 5 is a schematic block diagram of an example electronic device provided in an embodiment of this disclosure. Detailed Implementation

[0044] The exemplary embodiments of this disclosure are described below with reference to the accompanying drawings, including various details of the embodiments to aid understanding, and should be considered merely exemplary. Therefore, those skilled in the art will recognize that various changes and modifications can be made to the embodiments described herein without departing from the scope and spirit of this disclosure. Similarly, for clarity and brevity, descriptions of well-known functions and structures are omitted in the following description.

[0045] The following description, with reference to the accompanying drawings, outlines a new energy integrated control method, apparatus, electronic device, and storage medium according to embodiments of the present disclosure.

[0046] Figure 1 is a flowchart illustrating a new energy integrated control method provided in an embodiment of this disclosure.

[0047] As shown in Figure 1, the method includes the following steps:

[0048] Step 101: Obtain the first real-time system data and historical system data for a preset duration, respectively;

[0049] The system's operational status is monitored in real time using various sensors and data acquisition devices, including parameters such as wind power, solar energy, temperature, humidity, and pressure. Simultaneously, historical databases need to be extracted to retrieve system operation data from past periods for in-depth analysis of the system's historical performance. Acquiring this data requires not only high precision and reliability but also adaptability to diverse environmental and operating conditions to ensure the accuracy of subsequent analysis and control.

[0050] In some embodiments, the selection range of historical system data can be determined based on the time range of real-time system data. For example, it can be historical data from the same time period as the real-time system data but from a different year. For instance, if the real-time data is from 8:00 AM to 8:10 AM on January 1, 2024, then the historical system data could be from 8:00 AM to 8:10 AM on January 1, 2023. It should be noted that this description is merely an example and is not intended to limit the specific time period. The embodiments themselves do not impose any limitations on 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 and historical data can be deeply mined and analyzed according to preset data processing algorithms and artificial intelligence technologies. By processing the data, optimization space can be determined, thereby generating targeted control instructions. The preset data processing algorithms and artificial intelligence technologies can refer to any implementation method in the prior art, and will not be described in detail in the embodiments of this application.

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

[0054] Based on the generated control commands, the corresponding devices are controlled to rationally coordinate and optimize the reactive power distribution, ensuring the safe and stable operation of the power grid, improving voltage quality, and reducing active power loss.

[0055] The new energy integrated control method disclosed herein mainly includes the following technical solutions: acquiring first real-time system data and historical system data for a preset duration; generating control instructions based on the real-time system data and historical system data; and executing control according to the control instructions. Compared with related technologies, this embodiment generates control instructions based on first real-time system data and historical system data to coordinate and control the devices in the system in a unified manner, so that the grid connection point voltage meets the design requirements, ultimately realizing automatic regulation of grid connection point voltage and reactive power, rationally coordinating and optimizing reactive power distribution, ensuring the safe and stable operation of the power grid, improving voltage quality, and reducing active power loss.

[0056] In some embodiments, due to the time lag in generating control commands, data correction is required based on the latest real-time system data. Please refer to Figure 2, which is a flowchart illustrating a comprehensive new energy control method provided in an embodiment of this disclosure. It includes:

[0057] Step 101: Obtain the first real-time system data and historical system data for a preset duration, respectively;

[0058] The system's operational status is monitored in real time using various sensors and data acquisition devices, including parameters such as wind power, solar energy, temperature, humidity, and pressure. Simultaneously, historical databases need to be extracted to retrieve system operation data from past periods for in-depth analysis of the system's historical performance. Acquiring this data requires not only high precision and reliability but also adaptability to diverse environmental and operating conditions to ensure the accuracy of subsequent analysis and control.

[0059] In some embodiments, the selection range of historical system data can be determined based on the time range of real-time system data. For example, it can be historical data from the same time period as the real-time system data but from a different year. For instance, if the real-time data is from 8:00 AM to 8:10 AM on January 1, 2024, then the historical system data could be from 8:00 AM to 8:10 AM on January 1, 2023. It should be noted that this description is merely an example and is not intended to limit the specific time period. The embodiments themselves do not impose any limitations on 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 and historical data can be deeply mined and analyzed according to preset data processing algorithms and artificial intelligence technologies. By processing the data, optimization space can be determined, thereby generating targeted control instructions. The preset data processing algorithms and artificial intelligence technologies can refer to any implementation method in the prior art, and will not be described in detail in the embodiments of this application.

[0062] Step 104 optimizes the control command based on the second real-time system data, and decomposes the optimized control command 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] The original control commands are optimized based on the latest real-time system data. Since the operating status of the new energy system changes with time and environmental variations, the control commands need to be continuously updated and adjusted to adapt to new situations. Simultaneously, the optimized control commands need to be broken down into specific equipment control parameters so that each device can accurately execute the corresponding operations.

[0064] Step 1041: Decompose the optimized control command into the active power target value of a single inverter and energy storage converter.

[0065] In active power regulation, the optimized regulation commands need to be further broken down into specific equipment control parameters, including the active power target values ​​for individual inverters and energy storage converters. By precisely setting the active power target values ​​for 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 breakdown method also helps each device execute its corresponding operations more accurately, improving the system's response speed and stability.

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

[0067] Similar to active power regulation, when the regulation command is for reactive power regulation, it is also necessary to break down the optimized regulation command into specific equipment control parameters, including the reactive power target values ​​for reactive power compensation devices, inverters, on-load tap-changing transformers, and energy storage converters. By accurately setting the reactive power target values ​​for these devices, it can be ensured that the reactive power output of the entire renewable energy system meets the expected requirements. This breakdown method also helps each device execute its corresponding operation more accurately, improving the system's response speed and stability. Simultaneously, it also helps reduce reactive power losses in the power grid, improving the grid's transmission efficiency and stability.

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

[0069] Then step 103 also includes:

[0070] Control is performed based on the active power target value of the single inverter and energy storage converter; or

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

[0072] The integrated communication management terminal, by providing corresponding communication interfaces and protocols, acquires real-time data, including real-time information from the photovoltaic monitoring system, reactive power compensation device, booster station monitoring system, and energy storage monitoring system, and generates historical data and 10-minute average statistical data. It then uploads the real-time and historical data to the new energy dispatch support main station system. After receiving active power control commands from the new energy dispatch support system, the integrated communication management terminal forwards them to the active power control module and the energy storage monitoring system. These modules then perform data optimization calculations to determine the target active power values ​​for each inverter and energy storage converter, which are sent to the photovoltaic monitoring system, ultimately achieving closed-loop active power control.

[0073] After receiving the reactive power and voltage control command issued by the China Dispatch Center's new energy dispatching technical support system, the integrated communication management terminal forwards it to the reactive power and voltage control module. The reactive power and voltage control module compares the command with the real-time monitored grid connection point voltage, calculates the control target setpoint, and performs unified and coordinated control of the reactive power compensation device, inverter, on-load tap-changing transformer, and energy storage converter to ensure that the grid connection point voltage meets the requirements. Ultimately, it achieves automatic regulation of grid connection point voltage and reactive power, rationally coordinates and optimizes reactive power distribution, ensures the safe and stable operation of the power grid, improves voltage quality, and reduces active power loss.

[0074] Corresponding to the aforementioned comprehensive control method for new energy sources, this invention also proposes a comprehensive control device for new energy sources. Since the device embodiments of this invention correspond to the method embodiments described above, details not disclosed in the device embodiments can be referred to in the method embodiments, and will not be repeated here.

[0075] Figure 3 is a schematic diagram of a new energy integrated control device provided in an embodiment of this disclosure. As shown in Figure 3, it includes:

[0076] Acquisition unit 21 is used to acquire first real-time system data and historical system data for a preset duration, respectively;

[0077] Generation unit 22 is used to generate control instructions based on the real-time system data and historical system data;

[0078] The execution unit 23 is used to perform control according to the control instruction.

[0079] The new energy integrated control device disclosed herein mainly includes the following technical solutions: acquiring first real-time system data and historical system data for a preset duration; generating control commands based on the real-time system data and historical system data; and executing control according to the control commands. Compared with related technologies, this embodiment generates control commands through first real-time system data and historical system data to uniformly coordinate and control the devices in the system, ensuring that the grid connection point voltage meets design requirements. Ultimately, it achieves automatic regulation of grid connection point voltage and reactive power, rationally coordinates and optimizes reactive power distribution, ensures the safe and stable operation of the power grid, improves voltage quality, and reduces active power loss.

[0080] Furthermore, in one possible implementation of this disclosure embodiment, as shown in FIG4, the apparatus further includes:

[0081] The disassembly unit 24 is used to optimize the control instruction based on the second real-time system data before the execution unit 23 executes the control according to the control instruction, and to 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.

[0082] Furthermore, in one possible implementation of this disclosure embodiment, as shown in FIG4, when the control command is active power control, the disassembly unit 24 is further used for:

[0083] The optimized control command is broken down into the active power target values ​​of a single inverter and energy storage converter.

[0084] Furthermore, in one possible implementation of this disclosure embodiment, as shown in FIG4, when the control command is reactive power control, the disassembly unit 24 is further used for:

[0085] The optimized control command is broken down into the reactive power target values ​​of the reactive power compensation device, inverter, on-load tap-changing transformer and energy storage converter.

[0086] Furthermore, in one possible implementation of this disclosure embodiment, as shown in FIG4, the execution unit 23 is further configured to:

[0087] Control is performed based on the active power target value of the single inverter and energy storage converter; or

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

[0089] It should be noted that the foregoing explanation of the method embodiments also applies to the apparatus of the embodiments of this disclosure, and the principle is the same. Therefore, the embodiments of this disclosure are not limited thereto.

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

[0091] Figure 5 illustrates a schematic block diagram of an example electronic device 400 that can be used to implement embodiments of the present disclosure. 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 may also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the present disclosure described and / or claimed herein.

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

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

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

[0095] Various implementations of the systems and techniques described above herein can 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 implementations may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0096] The program code used to implement the methods of this disclosure may be written in any combination of one or more programming languages. This program code may be provided to a processor or controller of a general-purpose computer, special-purpose computer, or other programmable data processing apparatus, such that when executed by the processor or controller, the program code causes the functions / operations specified in the flowcharts and / or block diagrams to be implemented. The program code may be executed entirely on a machine, partially on a machine, as a standalone software package partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0097] In the context of this disclosure, a machine-readable medium can be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, apparatus, or device. A machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium can be, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, RAM, ROM, EPROM (Electrically Programmable Read-Only Memory) or flash memory, optical fiber, CD-ROM (Compact Disc Read-Only Memory), optical storage devices, magnetic storage devices, 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 for displaying information to the user (e.g., a CRT (Cathode-Ray Tube) or LCD (Liquid Crystal Display) monitor); and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the computer. Other types of devices can also be used to provide interaction with the user; for example, 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 sound input, voice input, or tactile input).

[0099] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or middleware components (e.g., application servers), or frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include LANs (Local Area Networks), WANs (Wide Area Networks), the Internet, and blockchain networks.

[0100] Computer systems can include clients and servers. Clients and servers are generally geographically separated and typically interact via communication networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. A server can be a cloud server, also known as a cloud computing server or cloud host, a hosting product within the cloud computing service ecosystem, addressing the shortcomings of traditional physical hosts and VPS (Virtual Private Server, or simply "VPS") services, such as high management difficulty and weak business scalability. Servers can also be servers for distributed systems or servers incorporating blockchain technology.

[0101] It's important to note that artificial intelligence (AI) is the study of enabling computers to simulate certain human thought processes and intelligent behaviors (such as learning, reasoning, thinking, and planning). It encompasses both hardware and software technologies. AI hardware technologies generally include sensors, dedicated AI chips, cloud computing, distributed storage, and big data processing. AI software technologies primarily include computer vision, speech recognition, natural language processing, machine learning / deep learning, big data processing, and knowledge graph technologies.

[0102] It should be understood that the various forms of processes shown above can be used to rearrange, add, or delete steps. For example, the steps described in this disclosure can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution disclosed in this disclosure can be achieved, and this is not limited herein.

[0103] The specific embodiments described above do not constitute a limitation on the scope of protection of this disclosure. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this disclosure should be included within the scope of protection of this disclosure.

Claims

1. A comprehensive control method for new energy sources, characterized in that, The term includes: Acquire the first real-time system data and historical system data for a preset duration; Control commands are generated based on the real-time system data and historical system data; Control is performed according to the control instructions.

2. The method according to claim 1, characterized in that, Before executing the control according to the control instruction, the method further includes: The control command is optimized based on the second real-time system data, and the optimized control command is decomposed 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, When the control command is active power control, the optimization and breakdown of the control command based on the second real-time system data to obtain control parameters for at least one device includes: The optimized control command is broken down into the active power target values ​​of a single inverter and energy storage converter.

4. The method according to claim 2, characterized in that, When the control command is reactive power control, the optimization and decomposition of the control command based on the second real-time system data to obtain control parameters for at least one device includes: The optimized control command is broken down into the reactive power target values ​​of the reactive power compensation device, inverter, on-load tap-changing transformer and energy storage converter.

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

6. A new energy integrated control device, characterized in that, The term includes: The acquisition unit is used to acquire first real-time system data and historical system data for a preset duration, respectively. The generation unit is used to generate control instructions based on the real-time system data and historical system data; An execution unit is used to perform control according to the control instructions.

7. The apparatus according to claim 6, characterized in that, The device further includes: The disassembly unit is used to optimize the control command based on the second real-time system data before the execution unit performs control according to the control command, and to disassemble the optimized control command 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 to enable the at least one processor to perform the method of any one of claims 1-5.

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

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

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