New energy power station automatic power generation control and energy storage optimization coordination control method and system

Abstract

The invention relates to the technical field of new energy power generation control, and provides a new energy power station automatic power generation control and energy storage optimization coordination control method and system, and the method comprises the steps: receiving a total station active control target value issued by power grid dispatching; operating parameters of the new energy power generation unit, the grid-connected point and the energy storage equipment are collected in real time; stepwise decomposition is carried out on the active control target value based on the adjustment step length parameter; multi-mode judgment logic is established, a new energy unit output target value and an energy storage system charging and discharging target value are dynamically generated, and the new energy unit and the energy storage system carry out power regulation and control according to the new energy unit output target value and the energy storage system charging and discharging target value; and starting a power regulation and control response period with a preset duration, monitoring the real-time active power of the grid-connected point, judging that regulation and control are completed when the real-time active power of the grid-connected point is detected to fall into an active control target value regulation dead zone range, and otherwise, carrying out closed-loop iterative regulation. The power regulation precision can be improved, and the response time is shortened to the second level.

Description

Technical Field

[0001] The present invention relates to the field of renewable energy power generation control technology, and in particular to a method and system for automatic power generation control and energy storage optimization coordinated control of a renewable energy power station. Background Art

[0002] New energy power plants are an important form of renewable energy utilization. The development of coordinated optimization methods and systems for automatic power generation and energy storage control is crucial for improving grid stability. With the continuous advancement of renewable energy generation technologies and the increasing capacity of power grids to accommodate renewable energy, the scale of new energy power plant construction is expanding. However, the intermittent and uncertain nature of renewable energy generation poses significant challenges to the stable operation of the power grid. To address this challenge, new energy power plants require advanced automatic power generation control systems and energy storage systems to achieve coordinated control of power generation and storage.

[0003] Traditional automatic generation control systems are primarily designed for the regulation needs of fossil fuel power plants and lack sufficient adaptability to the intermittent and uncertain nature of renewable energy generation. Furthermore, the control strategy of energy storage systems must be coordinated with the automatic generation control system to maximize overall efficiency. However, current problems with the automatic generation control and energy storage control in renewable energy power plants often result in excessive coupling and imperfect control strategies, leading to low overall operational efficiency and potentially even impacting the stable operation of the power grid. Summary of the Invention

[0004] The purpose of the present invention is to solve at least one technical problem in the background technology and provide a method and system for automatic power generation control and energy storage optimization coordinated control of a new energy power station.

[0005] To achieve the above objectives, the present invention provides a method for automatic power generation control and energy storage optimization coordinated control of a new energy power station, comprising: S1. Receive the station-wide active power control target value issued by the grid dispatching agency; S2. Real-time collection of operating parameters of renewable energy power generation units, grid connection points, and energy storage equipment, including: current active output limit of renewable energy units, maximum discharge power of energy storage systems, maximum charging power of energy storage systems, real-time active power of grid connection points, and automatic power generation control adjustment dead zone and adjustment step parameters; S3 based on the adjustment step parameter active control target value step decomposition; S4. Establish multi-mode judgment logic. By comparing the decomposed active power control target value with the current active power output limit of the new energy unit, the maximum discharge power of the energy storage system, and the maximum charging power of the energy storage system, dynamically generate the new energy unit output target value and the energy storage system charge and discharge target value. These target values ​​are sent to the new energy unit output target value and the energy storage system charge and discharge target value, respectively. The new energy unit and the energy storage system respectively perform power control according to the new energy unit output target value and the energy storage system charge and discharge target value. S5. Initiate a power control response cycle of a preset duration, monitor the real-time active power at the grid connection point, and determine that control is complete when the real-time active power at the grid connection point falls within the active power control target value adjustment deadband. Otherwise, return to step S2 for closed-loop iterative adjustment until the real-time active power at the grid connection point falls within the active power control target value adjustment deadband.

[0006] According to one aspect of the present invention, the energy storage system operating parameters also include: real-time state of charge SOC and its constraint rules: When the real-time state of charge (SOC) is ≥ 90%, the maximum charging power of the energy storage is forcibly set to 0, and charging is prohibited; When the real-time state of charge (SOC) is less than or equal to 10%, the maximum discharge power of the energy storage is forcibly set to 0, and discharge is prohibited.

[0007] According to one aspect of the present invention, the multi-mode decision logic includes: When the inequality is satisfied: > + When setting: New energy unit output target value = ; Energy storage discharge target value = ; in, is the decomposed active power control target value, is the current upper limit of active power output of new energy units, is the maximum discharge power of the energy storage system.

[0008] According to one aspect of the present invention, the multi-mode decision logic further includes: When satisfied: ( , + ], set: New energy unit output target value = ; Energy storage discharge target value = - .

[0009] According to one aspect of the present invention, the multi-mode decision logic further includes: When satisfied: ( - , ], set: New energy unit output target value = ; Energy storage charging target value = - ; in, The maximum charging power of the energy storage system.

[0010] According to one aspect of the present invention, the multi-mode decision logic further includes: When the inequality is satisfied: ≤ - When setting: New energy unit output target value = + ; Energy storage charging target value = .

[0011] To achieve the above objectives, the present invention further provides a new energy power station automatic power generation control and energy storage optimization coordinated control system, comprising: Active power control target value receiving module, receiving the station-wide active power control target value issued by the power grid dispatching agency; The operating parameter acquisition module collects the operating parameters of the new energy power generation unit, grid connection point and energy storage equipment in real time, including: the current active output limit of the new energy unit, the maximum discharge power of the energy storage system, the maximum charging power of the energy storage system, the real-time active power of the grid connection point, the automatic power generation control adjustment dead zone and adjustment step parameters; an active power control target value decomposition module, which performs step-by-step decomposition on the active power control target value based on the adjustment step parameter; The power control module establishes a multi-mode judgment logic. By comparing the numerical relationship between the decomposed active power control target value and the current active power output upper limit of the new energy unit, the maximum discharge power of the energy storage system, and the maximum charging power of the energy storage system, it dynamically generates the output target value of the new energy unit and the charge and discharge target value of the energy storage system. The output target value of the new energy unit and the charge and discharge target value of the energy storage system are sent to the new energy unit and the energy storage system respectively. The new energy unit and the energy storage system respectively perform power control according to the output target value of the new energy unit and the charge and discharge target value of the energy storage system; The power control judgment module starts a power control response cycle of a preset duration, monitors the real-time active power of the grid connection point, and determines that the control is completed when it detects that the real-time active power of the grid connection point falls into the dead zone range of the active control target value adjustment. Otherwise, it returns to the operating parameter acquisition module for closed-loop iterative control until the real-time active power of the grid connection point falls into the dead zone range of the active control target value adjustment.

[0012] To achieve the above-mentioned objectives, the present invention also provides an electronic device, comprising a processor, a memory, and a computer program stored in the memory and runnable on the processor. When the computer program is executed by the processor, the above-mentioned method for automatic power generation control and energy storage optimization coordinated control of a new energy power station is implemented.

[0013] To achieve the above-mentioned objectives, the present invention also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the method for automatic power generation control and energy storage optimization coordinated control of a new energy power station as described above is implemented.

[0014] According to the present invention, the solution aims to achieve precise control of the power generation process of new energy power plants and optimized scheduling of energy storage systems by integrating advanced automated control technologies, intelligent optimization algorithms, and efficient energy storage technologies. Specifically, the present invention can monitor the power generation status of new energy power plants in real time and automatically adjust the power generation plan based on the actual needs of the power grid, ensuring the continuity and stability of the power supply.

[0015] According to the solution of the present invention, the present invention realizes the coordinated optimization of automatic power generation control and energy storage control of new energy power stations without changing the existing control strategy and mode of the automatic power generation control system of the power grid. Since the energy storage system can store excess electricity and release it when needed, it reduces energy waste and improves the utilization rate of renewable energy. When the power generation of the new energy power station exceeds the demand of the power grid or exceeds the local load, the excess electricity is stored in the energy storage system. When the power generation of the new energy power station is insufficient or cannot meet the demand of the power grid, the energy storage system releases the stored electricity and supplements it to the power grid. In this way, the energy storage system plays the role of "peak shaving and valley filling", smoothing the output curve of the new energy power station.

[0016] According to the present invention, energy storage systems play a key role in balancing the volatility of renewable energy generation. By optimizing the charging and discharging strategies of energy storage devices, the system can effectively absorb excess electricity generated by renewable energy and release stored energy when power generation is insufficient, thereby balancing and regulating the grid load. This coordinated control approach not only improves the power generation efficiency and utilization rate of renewable energy power stations, but also helps enhance the flexibility and reliability of the grid, laying a solid foundation for the widespread application and sustainable development of renewable energy. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 The flowchart schematically shows a method for automatic power generation control and energy storage optimization coordinated control of a new energy power station according to an embodiment of the present invention. DETAILED DESCRIPTION

[0018] The present invention will now be discussed with reference to exemplary embodiments. It should be understood that the embodiments discussed are only intended to enable those skilled in the art to better understand and implement the present invention, rather than to imply any limitation on the scope of the present invention.

[0019] As used herein, the term "including" and variations thereof are to be interpreted as open-ended terms meaning "including, but not limited to." The term "based on" is to be interpreted as "based, at least in part, on." The terms "one embodiment" and "an embodiment" are to be interpreted as "at least one embodiment."

[0020] Figure 1 A flowchart schematically illustrates a method for automatically controlling power generation and optimizing energy storage in a new energy power station according to an embodiment of the present invention. In this embodiment, the method for automatically controlling power generation and optimizing energy storage in a new energy power station includes: S1. Receive the station-wide active power control target value issued by the grid dispatching agency; S2. Real-time collection of operating parameters of renewable energy power generation units, grid connection points, and energy storage equipment, including: current active output limit of renewable energy units, maximum discharge power of energy storage systems, maximum charging power of energy storage systems, real-time active power of grid connection points, and automatic power generation control adjustment dead zone and adjustment step parameters; S3 based on the adjustment step parameter active control target value step decomposition; S4. Establish multi-mode judgment logic. By comparing the decomposed active power control target value with the current active power output limit of the new energy unit, the maximum discharge power of the energy storage system, and the maximum charging power of the energy storage system, dynamically generate the new energy unit output target value and the energy storage system charge and discharge target value. These target values ​​are sent to the new energy unit output target value and the energy storage system charge and discharge target value, respectively. The new energy unit and the energy storage system respectively perform power control according to the new energy unit output target value and the energy storage system charge and discharge target value. S5. Initiate a power control response cycle of a preset duration, monitor the real-time active power at the grid connection point, and determine that control is complete when the real-time active power at the grid connection point falls within the active power control target value adjustment deadband. Otherwise, return to step S2 for closed-loop iterative adjustment until the real-time active power at the grid connection point falls within the active power control target value adjustment deadband.

[0021] Furthermore, according to one embodiment of the present invention, the energy storage system operating parameters also include: real-time state of charge SOC and its constraint rules: When the real-time state of charge (SOC) is ≥ 90%, the maximum charging power of the energy storage is forcibly set to 0, and charging is prohibited; When the real-time state of charge (SOC) is less than or equal to 10%, the maximum discharge power of the energy storage is forcibly set to 0, and discharge is prohibited.

[0022] Furthermore, according to one embodiment of the present invention, the multi-mode judgment logic includes: When the inequality is satisfied: > + When setting: New energy unit output target value = ; Energy storage discharge target value = ; in, is the decomposed active power control target value, is the current upper limit of active power output of new energy units, is the maximum discharge power of the energy storage system.

[0023] Furthermore, according to an embodiment of the present invention, the multi-mode judgment logic further includes: When satisfied: ( , + ], set: New energy unit output target value = ; Energy storage discharge target value = - .

[0024] Furthermore, according to one embodiment of the present invention, the multi-mode judgment logic further includes: When satisfied: ( - , ], set: New energy unit output target value = ; Energy storage charging target value = - ; in, The maximum charging power of the energy storage system.

[0025] Furthermore, according to one embodiment of the present invention, the multi-mode judgment logic further includes: When the inequality is satisfied: ≤ - When setting: New energy unit output target value = + ; Energy storage charging target value = .

[0026] Furthermore, to achieve the above-mentioned purpose, the present invention also provides a new energy power station automatic power generation control and energy storage optimization coordinated control system, comprising: Active power control target value receiving module, receiving the station-wide active power control target value issued by the power grid dispatching agency; The operating parameter acquisition module collects the operating parameters of the new energy power generation unit, grid connection point and energy storage equipment in real time, including: the current active output limit of the new energy unit, the maximum discharge power of the energy storage system, the maximum charging power of the energy storage system, the real-time active power of the grid connection point, the automatic power generation control adjustment dead zone and adjustment step parameters; an active power control target value decomposition module, which performs step-by-step decomposition on the active power control target value based on the adjustment step parameter; The power control module establishes a multi-mode judgment logic. By comparing the numerical relationship between the decomposed active power control target value and the current active power output upper limit of the new energy unit, the maximum discharge power of the energy storage system, and the maximum charging power of the energy storage system, it dynamically generates the output target value of the new energy unit and the charge and discharge target value of the energy storage system. The output target value of the new energy unit and the charge and discharge target value of the energy storage system are sent to the new energy unit and the energy storage system respectively. The new energy unit and the energy storage system respectively perform power control according to the output target value of the new energy unit and the charge and discharge target value of the energy storage system; The power control judgment module starts a power control response cycle of a preset duration, monitors the real-time active power of the grid connection point, and determines that the control is completed when it detects that the real-time active power of the grid connection point falls into the dead zone range of the active control target value adjustment. Otherwise, it returns to the operating parameter acquisition module for closed-loop iterative control until the real-time active power of the grid connection point falls into the dead zone range of the active control target value adjustment.

[0027] According to the present invention, the above-mentioned new energy power station automatic power generation control and energy storage optimization coordinated control system can realize the above-mentioned new energy power station automatic power generation control and energy storage optimization coordinated control method. The specific process steps are as described above and will not be repeated here.

[0028] According to the aforementioned solution, the present invention aims to achieve precise control of the power generation process of new energy power plants and optimized scheduling of energy storage systems by integrating advanced automated control technologies, intelligent optimization algorithms, and efficient energy storage technologies. Specifically, the present invention can monitor the power generation status of new energy power plants in real time and automatically adjust the power generation plan based on the actual needs of the power grid, ensuring the continuity and stability of the power supply.

[0029] According to the above-mentioned solution of the present invention, the energy storage system plays a key role in balancing the volatility of renewable energy generation. By optimizing the charging and discharging strategies of the energy storage equipment, the system can effectively absorb excess electricity generated by renewable energy and release the stored energy when power generation is insufficient, thereby achieving grid load stabilization and regulation. This coordinated control method not only improves the power generation efficiency and utilization rate of new energy power stations, but also helps to enhance the flexibility and reliability of the power grid, laying a solid foundation for the widespread application and sustainable development of new energy.

[0030] According to the above-mentioned solution of the present invention, the present invention realizes the coordinated optimization of automatic power generation control and energy storage control of new energy power stations without changing the existing control strategy and mode of the automatic power generation control system of the power grid. Since the energy storage system can store excess electricity and release it when needed, it reduces energy waste and improves the utilization rate of renewable energy. When the power generation of the new energy power station exceeds the demand of the power grid or exceeds the local load, the excess electricity is stored in the energy storage system. When the power generation of the new energy power station is insufficient or cannot meet the demand of the power grid, the energy storage system releases the stored electricity and supplements it to the power grid. In this way, the energy storage system plays the role of "peak shaving and valley filling" and smoothes the output curve of the new energy power station.

[0031] Furthermore, to achieve the above-mentioned purpose, the present invention also provides an electronic device, including a processor, a memory, and a computer program stored in the memory and runnable on the processor. When the computer program is executed by the processor, the automatic power generation control and energy storage optimization coordinated control method of the new energy power station as described above is implemented.

[0032] Furthermore, to achieve the above-mentioned purpose, the present invention also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the above-mentioned method for automatic power generation control and energy storage optimization coordinated control of a new energy power station is implemented.

[0033] In order to make the objectives, technical solutions and advantages of the present invention more clear, the present invention is further described in detail below with reference to specific embodiments. It should be understood that the specific embodiment described herein is only an optimal embodiment of the present invention and is only used to explain the present invention and does not limit the scope of protection of the present invention. All other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0034] Example 1 Over-issuance scenario control: When the grid dispatch target exceeds the combined regulation capability of the new energy generators and energy storage, proceed as follows: Step 1: Obtain current operating parameters, including the upper limit of active power output of new energy units , Maximum discharge power of energy storage , Maximum charging power of energy storage ; Step 2: Determine whether the following conditions are met: > + ; Step 3: If the condition is met, it is determined to be an over-issuance scenario and the following actions are executed: Issued new energy unit output target value = ; Send energy storage discharge target value = ; Technical effect: Respond to scheduling needs under the extreme conditions of full power generation of new energy units and full discharge of energy storage, maximize the satisfaction of scheduling target requirements, and reduce power deviation.

[0035] Joint increase scenario: When the grid dispatch target value is in the overlapping range of full power generation of new energy units and auxiliary discharge of energy storage, the following strategy is implemented: Step 1: Determine whether the following conditions are met: ( , + ]; Step 2: If true, execute: New energy units maintain maximum output = ; Calculate the discharge amount that needs to be replenished for energy storage = − ; Technical effect: Accurately compensate for the output gap of new energy units through energy storage discharge, avoiding over-limit operation of new energy units.

[0036] New energy-dominated charging scenarios: When the grid dispatch target value is lower than the output capacity of the new energy unit but energy storage charging adjustment is required, the implementation steps include: Step 1: Determine whether the following conditions are met: ( - , ]; Step 2: If established, dynamically adjust: New energy units generate electricity according to target value = ; Calculate the energy storage charge capacity = − ; (negative value indicates charging) Technical effect: Utilize the output redundancy of new energy units to intelligently charge energy storage and achieve two-way power regulation.

[0037] Deep charging scenario: When the grid dispatch target value is significantly lower than the minimum regulation capacity of the new energy unit, the following operations are performed: Step 1: Determine whether the following conditions are met: ≤ − ; Step 2: If true, set: New energy units operate at reduced ratings = + ; Energy storage full power charging = ; Technical effect: Under the premise of ensuring the grid dispatching needs, the energy storage charging efficiency is maximized, the system flexibility is improved, and the economy is improved.

[0038] Those skilled in the art will appreciate that the modules and algorithm steps described in conjunction with the embodiments disclosed herein can be implemented using electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians may use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the present invention.

[0039] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the above-described devices and equipment can refer to the corresponding processes in the aforementioned method implementation methods and will not be repeated here.

[0040] In the embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the modules is merely a logical function division. In actual implementation, there may be other division methods, such as multiple modules 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 devices or modules, which can be electrical, mechanical or other forms.

[0041] The modules described as separate components may or may not be physically separate, and the components shown as modules may or may not be physical modules, that is, they may be located in one place or distributed across multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the objectives of the embodiments of the present invention.

[0042] In addition, each functional module in the embodiment of the present invention may be integrated into one processing module, or each module may exist physically separately, or two or more modules may be integrated into one module.

[0043] If the functions are implemented as software modules and sold or used as standalone products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the portion that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the energy-saving signal transmission / reception method according to various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as a USB flash drive, a mobile hard drive, ROM, RAM, a magnetic disk, or an optical disk.

[0044] The above description is merely a preferred embodiment of the present application and an illustration of the technical principles employed. Those skilled in the art should understand that the scope of the invention involved in this application is not limited to the technical solutions formed by the specific combination of the above-mentioned technical features, but also encompasses other technical solutions formed by any combination of the above-mentioned technical features or their equivalents without departing from the inventive concept. For example, a technical solution formed by replacing the above-mentioned features with (but not limited to) technical features with similar functions disclosed in this application.

[0045] It should be understood that the size of the serial numbers of each step in the content of the invention and the implementation methods of the present invention does not absolutely mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the implementation methods of the present invention.

Claims

1. A method for automatic power generation control and energy storage optimization coordinated control of a new energy power station, characterized in that: include: S1. Receive the station-wide active power control target value issued by the grid dispatching agency; S2. Real-time collection of operating parameters of renewable energy power generation units, grid connection points, and energy storage equipment, including: current active output limit of renewable energy units, maximum discharge power of energy storage systems, maximum charging power of energy storage systems, real-time active power of grid connection points, and automatic power generation control adjustment dead zone and adjustment step parameters; S3 based on the adjustment step parameter active control target value step decomposition; S4. Establish multi-mode judgment logic. By comparing the decomposed active power control target value with the current active power output upper limit of the new energy unit, the maximum discharge power of the energy storage system, and the maximum charging power of the energy storage system, dynamically generate the new energy unit output target value and the energy storage system charge and discharge target value. Send the new energy unit output target value and the energy storage system charge and discharge target value to the new energy unit and the energy storage system, respectively. The new energy unit and the energy storage system respectively perform power regulation according to the new energy unit output target value and the energy storage system charge and discharge target value. S5. Start a power control response cycle of a preset duration, monitor the real-time active power of the grid connection point, and determine that the control is completed when it is detected that the real-time active power of the grid connection point falls into the dead zone range of the active control target value adjustment. Otherwise, return to step S2 for closed-loop iterative adjustment until the real-time active power of the grid connection point falls into the dead zone range of the active control target value adjustment.

2. The method for automatic power generation control and energy storage optimization coordinated control of a new energy power station according to claim 1 is characterized in that: The energy storage system operating parameters also include: real-time state of charge SOC and its constraint rules: When the real-time state of charge (SOC) is ≥ 90%, the maximum charging power of the energy storage is forcibly set to 0, and charging is prohibited; When the real-time state of charge (SOC) is less than or equal to 10%, the maximum discharge power of the energy storage is forcibly set to 0, and discharge is prohibited.

3. The method for automatic power generation control and energy storage optimization coordinated control of a new energy power station according to claim 1 is characterized in that: The multi-mode judgment logic includes: When the inequality is satisfied: > + When setting: New energy unit output target value = ; Energy storage discharge target value = ; in, is the decomposed active power control target value, is the current upper limit of active power output of new energy units, is the maximum discharge power of the energy storage system.

4. The method for automatic power generation control and energy storage optimization coordinated control of a new energy power station according to claim 3 is characterized in that: The multi-mode judgment logic also includes: When satisfied: ( , + ], set: New energy unit output target value = ; Energy storage discharge target value = - .

5. The method for automatic power generation control and energy storage optimization coordinated control of a new energy power station according to claim 4 is characterized in that: The multi-mode judgment logic also includes: When satisfied: ( - , ], set: New energy unit output target value = ; Energy storage charging target value = - ; in, The maximum charging power of the energy storage system.

6. The method for automatic power generation control and energy storage optimization coordinated control of a new energy power station according to claim 5 is characterized in that: The multi-mode judgment logic also includes: When the inequality is satisfied: ≤ - When setting: New energy unit output target value = + ; Energy storage charging target value = .

7. New energy power station automatic power generation control and energy storage optimization coordination control system, characterized by: include: Active power control target value receiving module, receiving the station-wide active power control target value issued by the power grid dispatching agency; The operating parameter acquisition module collects the operating parameters of the new energy power generation unit, grid connection point and energy storage equipment in real time, including: the current active output limit of the new energy unit, the maximum discharge power of the energy storage system, the maximum charging power of the energy storage system, the real-time active power of the grid connection point, the automatic power generation control adjustment dead zone and adjustment step parameters; an active power control target value decomposition module, which performs step-by-step decomposition on the active power control target value based on the adjustment step parameter; The power control module establishes a multi-mode judgment logic. By comparing the numerical relationship between the decomposed active power control target value and the current active power output upper limit of the new energy unit, the maximum discharge power of the energy storage system, and the maximum charging power of the energy storage system, it dynamically generates the output target value of the new energy unit and the charge and discharge target value of the energy storage system. The output target value of the new energy unit and the charge and discharge target value of the energy storage system are sent to the new energy unit and the energy storage system respectively. The new energy unit and the energy storage system respectively perform power control according to the output target value of the new energy unit and the charge and discharge target value of the energy storage system; The power control judgment module starts a power control response cycle of a preset duration, monitors the real-time active power of the grid connection point, and determines that the control is completed when it detects that the real-time active power of the grid connection point falls into the dead zone range of the active control target value adjustment. Otherwise, it returns to the operating parameter acquisition module for closed-loop iterative control until the real-time active power of the grid connection point falls into the dead zone range of the active control target value adjustment.

8. An electronic device, characterized in that It includes a processor, a memory, and a computer program stored in the memory and executable on the processor. When the computer program is executed by the processor, the method for automatic power generation control and energy storage optimization coordinated control of a new energy power station as described in any one of claims 1 to 6 is implemented.

9. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a computer program, and when the computer program is executed by the processor, the method for automatic power generation control and energy storage optimization coordinated control of a new energy power station according to any one of claims 1 to 6 is implemented.

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