A wind-solar-storage integrated coordinated management control method and system, medium and product

Abstract

This invention provides a method, system, medium, and product for integrated wind, solar, and energy storage coordinated management and control. The method includes: Step 1: Real-time intelligent data monitoring; Step 2: Intelligent prediction and coordinated control strategy formulation; predicting the output power of wind farms and photovoltaic farms in the next time interval based on historical data and real-time monitoring data, and generating a coordinated control strategy by combining the actual power load curve of the power grid or power smoothing output requests; Step 3: Generating switching control commands based on the coordinated control strategy and the actual operating state of the power grid, enabling equipment to adjust its operating state according to the switching control commands, resulting in an adjusted operating outcome; Step 4: Dynamic adjustment of the control strategy; adjusting the intelligent prediction and control strategy based on the adjusted operating outcome to achieve coordinated control of wind, solar, and energy storage. This invention has advantages such as high efficiency and good stability, enabling efficient and flexible switching and scheduling among multiple energy sources.

Description

Technical Field

[0001] This invention relates to the field of wind, solar and energy storage technology, specifically to a method, system, medium and product for integrated wind, solar and energy storage coordinated management and control. Background Technology

[0002] With the deepening global energy crisis and increasing public awareness of environmental protection, wind and solar energy, two renewable energy sources, have been widely promoted and applied. However, the inherent intermittency and instability of wind and solar energy pose significant challenges to the stable operation of traditional power grids. Especially under conditions of unstable wind speeds or poor sunlight, fluctuations in the output of these new energy sources directly affect the balance and reliable power supply of the power system.

[0003] To address this challenge, energy storage systems have been introduced into energy management. Energy storage technology can smooth the volatility of renewable energy generation and ensure the reliability of power supply, becoming one of the effective means to solve the problems of intermittency and uncontrollability of renewable energy generation. However, existing energy management systems are inadequate in managing the simultaneous charging and discharging of a large number of energy storage converters (PCSs) and cannot effectively handle the coordination problems between multiple PCSs. Summary of the Invention

[0004] The technical problem to be solved by the present invention is to provide a high-efficiency wind, solar and energy storage integrated coordinated management and control method, system, medium and product that can achieve efficient and flexible switching and scheduling between multiple energy sources, and optimize the utilization and management of energy.

[0005] To solve the above-mentioned technical problems, the technical solution adopted by the present invention is as follows: A method for coordinated management and control of integrated wind, solar, and energy storage includes the following steps: Step S1: Real-time intelligent data monitoring; Real-time monitoring of environmental parameters and corresponding power generation performance indicators of wind farms and photovoltaic fields; Step S2: Formulating intelligent prediction and coordinated control strategies; Based on historical data and real-time monitoring data, predict the output power of wind farms and photovoltaic farms in the next time interval, and combine this with the actual power load curve of the power grid or the power smoothing output request to generate a coordinated control strategy. Step S3: Switch between control command generation and execution; Based on the coordinated control strategy and the actual operating state of the power grid, a switching control command is generated, which enables the equipment to adjust its operating state according to the switching control command, and obtain the adjusted operating result. Step S4: Dynamically adjust the control strategy; The intelligent prediction and control strategy is adjusted based on the adjusted operating results to achieve coordinated control of wind, solar and energy storage.

[0006] As a further improvement to the method of the present invention: in step S2, the step of formulating a coordinated control strategy for wind, solar, and energy storage based on the actual power load curve of the power grid includes: Step S101: Load forecasting and energy storage dispatch; Predict the actual power load curve of the power grid in the next time interval, and formulate an energy storage dispatch plan based on the power load forecast results; Step S102: Dynamically adjust the power output of the generator; The output power of wind power and photovoltaic power generation is adjusted in real time according to changes in grid load. When an increase in grid load is detected, the output power of wind power and photovoltaic power generation is increased first, while the discharge power of the energy storage system is reduced. When a decrease in grid load is detected, the output power of wind power and photovoltaic power generation is reduced, while the charging power of the energy storage system is increased. Step S103: Optimize the charging and discharging strategy of the energy storage system; Optimize the charging and discharging strategy of the energy storage system based on the state of charge of the energy storage system and the grid load demand.

[0007] As a further improvement to the method of the present invention: in step S1, the coordinated control strategy for wind, solar and energy storage, in conjunction with the power smoothing output request, includes: Step S111: Monitor the output power of wind power and photovoltaic power generation in real time. When the output power change exceeds the threshold range, activate the energy storage system response mechanism to maintain the stable output of grid power. Step S112: Optimize the charging and discharging process of the energy storage system using fuzzy PID control; Step S113: Continuously monitor the power output of the power grid, collect actual operating data of the power grid, and adjust the charging and discharging strategy of the energy storage system in a timely manner based on the real-time monitored power output of the power grid to ensure stable power output of the power grid.

[0008] As a further improvement to the method of the present invention: In step S3, generating switching control commands based on the coordinated control strategy and the actual operating state of the power grid means that when the output power fluctuation of the wind farm or photovoltaic farm exceeds the first threshold, the energy storage system adjusts the charging and discharging mode. The adjustment of the charging and discharging mode includes absorbing excess energy or supplementing insufficient energy, thereby achieving smooth power output.

[0009] As a further improvement to the method of the present invention: in step S3, generating switching control commands based on the coordinated control strategy and the actual operating state of the power grid means that when the output power of the photovoltaic field and the wind farm is less than the second threshold, the power is switched to the energy storage system for independent power supply, so as to achieve stable operation of the power grid.

[0010] This invention also provides an integrated wind-solar-storage coordinated management and control system, comprising: The data acquisition module is used to collect relevant data on the operating status of the power grid and equipment; The management, monitoring and computing module is used to monitor the operation status and energy utilization of the power grid system in real time, process and analyze the collected data, generate intelligent scheduling strategies based on historical and real-time data, and generate switching control commands based on the coordination control strategies and the actual operation status of the power grid, so as to realize the optimized allocation of energy and fault prediction and health management. The coordination and control module is used to execute the control strategies and instructions provided by the management and monitoring module to achieve intelligent switching between energy sources; The communication module is used for information exchange and coordination control between various modules.

[0011] As a further improvement to the method of the present invention: the management, monitoring and computing module includes a high-speed multi-node communication interface and protocol, which enables efficient data exchange with other modules and components in the system to realize real-time data transmission and processing.

[0012] The present invention also provides a computer-readable storage medium storing a computer program / instruction that is programmed or configured to execute the integrated wind, solar, and energy storage coordinated management and control method via a processor.

[0013] The present invention also provides a computer program product, including a computer program / instruction, which is programmed or configured to execute the integrated wind, solar and energy storage coordinated management and control method via a processor.

[0014] Compared with the prior art, the advantages of the present invention are as follows: 1. This invention improves energy utilization efficiency and reduces energy waste by real-time monitoring of environmental parameters and power generation performance indicators of wind farms and photovoltaic farms, and dynamically adjusting control strategies based on historical data, actual power load curves of the power grid, or changes in power smoothing output requests. Through continuous monitoring and dynamic adjustment of control strategies, a closed-loop control mechanism is formed, enabling the system to maintain stable operation under various environments and avoiding overall system failure due to fluctuations in a single energy source.

[0015] 2. By coordinating and controlling the active power output of wind, solar, and energy storage, this invention achieves grid-friendly operation and safety of new energy power plants, reduces the risk of grid failures caused by energy fluctuations, optimizes energy utilization efficiency, reduces unnecessary energy waste, and thus maximizes economic benefits. Attached Figure Description

[0016] Figure 1This is a flowchart of the wind-solar-storage integrated coordinated management and control method according to an embodiment of the present invention.

[0017] Figure 2 This is a schematic diagram of the integrated wind, solar, and energy storage coordinated management and control system architecture according to an embodiment of the present invention.

[0018] Figure 3 This is a schematic diagram illustrating the operational relationships of the integrated wind, solar, and energy storage coordinated management and control system according to an embodiment of the present invention. Detailed Implementation

[0019] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0020] like Figure 1 As shown, the wind-solar-storage integrated coordinated management and control method of this embodiment includes the following steps: Step S1: Monitor the environmental parameters and corresponding power generation performance indicators of wind farms and photovoltaic farms in real time.

[0021] In this embodiment, through Goose ring network communication, the system monitors in real time the wind speed, wind direction and power output of the wind farm, the solar radiation intensity and power output of the photovoltaic farm, and the charging and discharging status, battery power and operating temperature of the energy storage system.

[0022] Step S2: Based on historical data and real-time monitoring data, predict the output power of wind farms and photovoltaic farms in the next time interval, and combine this with the actual power load curve of the power grid or the power smoothing output request to generate a coordinated control strategy for wind, solar and energy storage.

[0023] In this embodiment, the coordinated control strategy for wind, solar, and energy storage, based on the actual power load curve of the power grid, includes: Step S201: Load forecasting and energy storage dispatch; Predict the actual power load curve of the power grid in the next time interval, formulate an energy storage dispatch plan based on the power load forecast results, and realize the release of power by the energy storage system during peak load and the charging and storage of power by the energy storage system during off-peak load.

[0024] Specifically, advanced load forecasting technology is used to predict the actual electricity load curve of the power grid over a future period. Based on the load forecast results, a reasonable energy storage dispatch plan is formulated to ensure that the energy storage system can release electrical energy during peak load periods and charge and store electrical energy during off-peak periods.

[0025] Step S202: Dynamically adjust the power output of the generator; The output power of wind power and photovoltaic power generation is adjusted in real time according to changes in grid load. When an increase in grid load is detected, the output power of wind power and photovoltaic power generation is increased first, while the discharge power of the energy storage system is reduced accordingly. When a decrease in grid load is detected, the output power of wind power and photovoltaic power generation is reduced, while the charging power of the energy storage system is increased.

[0026] Step S203: Optimize the charging and discharging strategy of the energy storage system; Optimize the charging and discharging strategy of the energy storage system based on the state of charge of the energy storage system and the grid load demand.

[0027] Specifically, when the energy storage system has a high state of charge (i.e., the battery is close to full charge) and the grid load is low, the charging power of the energy storage system is reduced or the system is discharged to feed excess energy back into the grid, thus avoiding energy waste and battery damage caused by overcharging. When the energy storage system has a low state of charge and the grid load is high, the charging power of the energy storage system is increased or the discharging power is reduced to ensure sufficient energy reserves to cope with peak loads and avoid over-discharging during periods of high demand, which could lead to insufficient energy storage.

[0028] This embodiment ensures that the energy storage system can charge and discharge at the most appropriate time through intelligent management, which not only improves energy utilization efficiency but also extends the service life of the energy storage equipment.

[0029] In this embodiment, the coordinated control strategy for wind, solar, and energy storage, based on the power smoothing output request, includes: Step S111: Monitor the output power of wind power and photovoltaic power generation in real time. When the output power change exceeds the threshold range, activate the energy storage system response mechanism to maintain the stable output of grid power. Step S112: Optimize the charging and discharging process of the energy storage system using fuzzy PID control; Step S113: Continuously monitor the power output of the power grid, collect actual operating data of the power grid, and adjust the charging and discharging strategy of the energy storage system in a timely manner based on the real-time monitored power output of the power grid to ensure stable power output of the power grid.

[0030] In specific application examples, the rapid response capability of the energy storage system is utilized to smooth power fluctuations in wind and solar power generation. When the output power of wind and solar power generation suddenly increases or decreases, the energy storage system can absorb or release electrical energy in a timely manner to maintain a stable power output from the grid. An advanced fuzzy PID control method is employed to achieve coordinated control between the energy storage system and the wind and solar power systems. Through algorithm optimization, the charging and discharging efficiency and response speed of the energy storage system are improved, further smoothing the grid power output. The grid power output is monitored in real time, and the charging and discharging strategy of the energy storage system is adjusted promptly based on the monitoring results. Through a feedback mechanism, the control strategy is continuously optimized to improve the stability and reliability of the grid power output.

[0031] Step S3: Generate switching control commands based on the coordinated control strategy and the actual operating status of the power grid, so that the control equipment can perform corresponding operations, continuously monitor the execution results of each control equipment, and dynamically adjust the control strategy based on the execution results, thereby realizing coordinated control of wind, solar and energy storage.

[0032] In this embodiment, a switching control command is generated based on the coordinated control strategy and the actual operating state of the power grid. When the output power fluctuation of the wind farm or photovoltaic farm exceeds the first threshold, the energy storage system is triggered to adjust the charging and discharging mode to absorb excess power or supplement insufficient power, thereby achieving smooth power output.

[0033] Based on the coordinated control strategy and the actual operating status of the power grid, a switching control command is generated. When the output power of the photovoltaic and wind farms is less than the second threshold, the power is switched to the energy storage system for independent power supply to ensure the stable operation of the power grid.

[0034] In specific application embodiments, when the output power of wind power or photovoltaic power fluctuates significantly and exceeds the grid's capacity, the system automatically adjusts the charging and discharging mode of the energy storage system to absorb excess energy or supplement insufficient energy, achieving smooth power output. Under specific circumstances, such as at night or during periods of low wind speed when the output power of photovoltaic and wind power is insufficient, the system can switch to the energy storage system for independent power supply to support grid power and phase, ensuring stable grid operation. Based on grid dispatch instructions or system-preset priority rules, the system can switch between different energy sources. Upon receiving the switching control instruction, each control device executes corresponding operations, such as starting or stopping wind turbines, photovoltaic arrays, and energy storage batteries. Simultaneously, the system continuously monitors the execution effect and dynamically adjusts the control strategy based on feedback results to ensure optimal coordinated control of wind, solar, and energy storage.

[0035] In this embodiment, the coordinating controller dynamically adjusts the control strategy based on actual operating conditions and preset objectives during execution. This dynamic adjustment mechanism is crucial for ensuring stable system operation, optimizing performance, and adapting to changing environments.

[0036] like Figure 2 As shown, this embodiment also provides an integrated wind-solar-storage coordinated management and control system, including: The data acquisition module is used to collect relevant data on the operating status of the power grid and equipment.

[0037] Specifically, the data acquisition module can comprehensively and accurately collect digital input signals such as life signals from the source-grid-load interaction terminal and the backup unit of the coordinating controller, the status of the stability control system, and the position status of switches. Simultaneously, the data acquisition module is also responsible for acquiring voltage / current signals output from external voltage / current transformers to achieve accurate acquisition of voltage / current signals at the substation's grid connection point. The acquired data is transmitted to the management and monitoring module for further monitoring and analysis.

[0038] The management, monitoring, and computing module is used to monitor the operating status and energy utilization of the power grid system in real time, process and analyze the collected data, generate intelligent dispatch strategies based on historical and real-time data, and generate switching control commands based on the coordinated control strategy and the actual operating status of the power grid, so as to realize the optimized allocation of energy and fault prediction and health management.

[0039] Specifically, the management, monitoring, and computation module serves as the core of the coordinated control system. It monitors the real-time operating status and energy utilization of the power grid system, and performs in-depth processing and analysis of the analog and digital data transmitted from the acquisition module. Based on the processed and analyzed data results, the management, monitoring, and computation module provides decision support to the coordinated control module, formulating scientific energy dispatch strategies. Furthermore, the management, monitoring, and computation module also possesses intelligent optimization and prediction functions, capable of generating intelligent dispatch strategies based on historical and real-time data to achieve optimized energy allocation and fault prediction and health management. Simultaneously, the management, monitoring module is also responsible for the management, monitoring, data storage, and communication of the entire chassis. It possesses precise control capabilities for active and reactive power, ensuring the stable operation of the power grid system.

[0040] In this embodiment, the management, monitoring and computing module includes a high-speed multi-node communication interface and protocol to exchange data efficiently with other modules and components in the system, ensuring the rapid transmission and processing of real-time data.

[0041] Understandably, the specific configuration of the management, monitoring, and computing module is determined based on the actual application requirements. Preferably, in this embodiment, the main controller of the management, monitoring, and computing module uses a quad-core ARM Cortex-A55 industrial-grade processor, supplemented by an intelligent AI computing unit (NPU), enabling efficient edge computing. The processor employs a heterogeneous system design, using four cores as a real-time bare core and a Linux-running management core, significantly improving efficiency and cost-effectiveness. The FPGA selected is a PG2L50H, which interacts with the processor via a PCIe interface to achieve high-speed data exchange, meeting the system's high-capacity communication requirements. Simultaneously, the module also supports four Ethernet ports and five RS485 communication ports, providing a rich selection of interfaces for system communication.

[0042] The management, monitoring, and computing module has a built-in 128GB high-capacity storage medium, enabling 120 days of data storage for the coordinated control system's operation, which is then used for adaptive optimization and adjustment of intelligent algorithms. It supports advanced deep learning intelligent algorithms to improve the system's adaptability, allowing it to automatically adjust control strategies under different operating conditions. By combining historical and real-time data, it utilizes machine learning technology for predictive control, proactively adjusting the system state to address potential problems.

[0043] In terms of software, the management, monitoring, and computing module has four heterogeneous cores: one real-time core and three management cores. The management core runs a Linux system and is mainly responsible for external communication, display management, and historical recording. The real-time cores run the RT-Thread real-time system and are mainly responsible for inter-board communication, electrical quantity acquisition and calculation, and GOOSE communication. External communication of the management core includes protocols such as IEC61850 MMS, IEC104, and Modbus, enabling communication with dispatching and EMS devices, as well as receiving and forwarding dispatching commands. When acting as a master station, IEC104 and ModbusTCP support ≥128 slave stations. The management core also provides display management through the device's built-in LCD and supports SOE recording and fault waveform recording functions.

[0044] In this embodiment, the management, monitoring, and computation module employs an adaptive multi-cluster optimized coordination control algorithm. This algorithm comprehensively considers system modeling, communication and collaboration mechanisms, intelligent algorithms and adaptive capabilities, as well as security and stability. It maximizes the realization of integrated wind, solar, and energy storage coordinated control and energy dispatch.

[0045] The coordination and control module is used to execute the control strategies and instructions provided by the management and monitoring module, specifically to realize intelligent switching between energy sources and optimize energy utilization efficiency and economy.

[0046] The communication module is used for information exchange and coordination control between various modules.

[0047] Specifically, the communication module uses the advanced GOOSE protocol (a communication protocol based on the IEC 61850 standard) to communicate, enabling information exchange and coordinated control between the control system and other coordinating controllers. The GOOSE protocol is characterized by high efficiency, reliability, and flexibility, meeting the communication requirements of the integrated wind-solar-storage coordinated control energy management system and ensuring accurate and rapid information transmission.

[0048] This embodiment also includes a human-machine interface (HMI) module. The HMI module uses an intuitive two-color interface and button control, allowing easy viewing of historical system data, operational reports, and statistical analysis results. The module employs a menu-driven display, allowing users to navigate menus, confirm functions, and set parameters using directional and function keys. Simultaneously, the module can display basic information such as voltage, current, angle, power, frequency, and input status. When system anomalies occur, fault reports, alarm reports, and operation logs are promptly displayed, with fault and alarm information including parameter displays. Alarms and fault reports also automatically trigger pop-up alerts, ensuring timely understanding and handling of system anomalies.

[0049] In this embodiment, a hierarchical networking approach is adopted to achieve coordinated control, unified status, dynamic adjustment of active and reactive power of wind power, photovoltaic, and energy storage PCS, as well as power coordination optimization at the site level.

[0050] like Figure 3 As shown, in this embodiment, after receiving EMS commands to adjust the power and status of the power station during actual operation, it first determines whether the local wind power, photovoltaic, and energy storage can meet the adjustment commands, and then gradually responds to the adjustment control strategy. In the actual deployment of the access gateway and data capture, according to the hierarchical ring network topology, wind power, photovoltaic, and PCS are networked separately to avoid network storms, and data congestion is avoided through a local multi-object group management competition host mode. The multi-object group management competition mechanism refers to a strategy that, when managing multiple objects or groups, introduces a competition mechanism to stimulate the enthusiasm and creativity of each group or individual, thereby improving the overall management effect.

[0051] This embodiment also provides a computer-readable storage medium storing a computer program / instruction that is programmed or configured to execute a wind-solar-storage integrated coordinated management and control method via a processor.

[0052] This embodiment also provides a computer program product, including a computer program / instruction, which is programmed or configured to execute a wind-solar-storage integrated coordinated management and control method via a processor.

[0053] Those skilled in the art will understand that the above embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-readable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code. This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It should be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create a machine for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to operate in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The functions specified in one or more boxes. These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable apparatus for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the functions specified in one or more boxes. The above are merely preferred embodiments of the present invention and are not intended to limit the present invention in any way. Although the present invention has been disclosed above with reference to preferred embodiments, it is not intended to limit the present invention. Therefore, any simple modifications, equivalent changes, and alterations made to the above embodiments based on the technical essence of the present invention without departing from the scope of the present invention should fall within the protection scope of the present invention.

[0054] The above description is merely a preferred embodiment of the present invention. The scope of protection of the present invention is not limited to the above embodiments. All technical solutions falling within the scope of the present invention's concept are within the scope of protection of the present invention. It should be noted that for those skilled in the art, any improvements and modifications made without departing from the principles of the present invention should also be considered within the scope of protection of the present invention.

Claims

1. A method for coordinated management and control of integrated wind, solar, and energy storage systems, characterized in that, Including the following steps: Step S1: Real-time intelligent data monitoring; Real-time monitoring of environmental parameters and corresponding power generation performance indicators of wind farms and photovoltaic fields; Step S2: Formulating intelligent prediction and coordinated control strategies; Based on historical data and real-time monitoring data, predict the output power of wind farms and photovoltaic farms in the next time interval, and combine the actual power load curve of the power grid or the power smoothing output request to generate a coordinated control strategy for wind, solar and energy storage. Step S3: Switch between control command generation and execution; Based on the coordinated control strategy and the actual operating state of the power grid, a switching control command is generated. The control equipment adjusts its operating state according to the switching control command to obtain the adjusted operating result. Step S4: Dynamically adjust the control strategy; The intelligent prediction and control strategy is adjusted based on the adjusted operating results to achieve coordinated control of wind, solar and energy storage.

2. The integrated wind-solar-storage coordinated management and control method according to claim 1, characterized in that, In step S2, the formulation of a coordinated control strategy for wind, solar, and energy storage based on the actual power load curve of the power grid includes: Step S101: Load forecasting and energy storage dispatch; Predict the actual power load curve of the power grid in the next time interval, and formulate an energy storage dispatch plan based on the power load forecast results; Step S102: Dynamically adjust the power output of the generator; The output power of wind power and photovoltaic power generation is adjusted in real time according to changes in grid load. When an increase in grid load is detected, the output power of wind power and photovoltaic power generation is increased first, while the discharge power of the energy storage system is reduced. When a decrease in grid load is detected, the output power of wind power and photovoltaic power generation is reduced, while the charging power of the energy storage system is increased. Step S103: Optimize the charging and discharging strategy of the energy storage system; Optimize the charging and discharging strategy of the energy storage system based on the state of charge of the energy storage system and the grid load demand.

3. The integrated wind, solar, and energy storage coordinated management and control method according to claim 1, characterized in that, In step S1, the coordinated control strategy for wind, solar, and energy storage, based on the power smoothing output request, includes: Step S111: Monitor the output power of wind power and photovoltaic power generation in real time. When the output power change exceeds the threshold range, activate the energy storage system response mechanism to maintain the stable output of grid power. Step S112: Optimize the charging and discharging process of the energy storage system using fuzzy PID control; Step S113: Continuously monitor the power output of the power grid, collect actual operating data of the power grid, and adjust the charging and discharging strategy of the energy storage system in a timely manner based on the real-time monitored power output of the power grid to ensure stable power output of the power grid.

4. The integrated wind-solar-storage coordinated management and control method according to claim 1, characterized in that, In step S3, a switching control command is generated based on the coordinated control strategy and the actual operating state of the power grid. When the output power fluctuation of the wind farm or photovoltaic farm exceeds the first threshold, the energy storage system adjusts the charging and discharging mode. Adjusting the charging and discharging mode includes absorbing excess energy or supplementing insufficient energy, thereby achieving smooth power output.

5. The integrated wind-solar-storage coordinated management and control method according to claim 1, characterized in that, In step S3, a switching control command is generated based on the coordinated control strategy and the actual operating state of the power grid. When the output power of the photovoltaic field and the wind farm is less than the second threshold, the power is switched to the energy storage system for independent power supply to ensure the stable operation of the power grid.

6. A wind-solar-storage integrated coordinated management and control system, characterized in that, include: The data acquisition module is used to collect relevant data on the operating status of the power grid and equipment; The management, monitoring and computing module is used to monitor the operation status and energy utilization of the power grid system in real time, process and analyze the collected data, generate intelligent scheduling strategies based on historical and real-time data, and generate switching control commands based on the coordination control strategies and the actual operation status of the power grid, so as to realize the optimized allocation of energy and fault prediction and health management. The coordination and control module is used to execute the control strategies and instructions provided by the management and monitoring module to achieve intelligent switching between energy sources; The communication module is used for information exchange and coordination control between various modules.

7. The integrated wind-solar-storage coordinated management and control system according to claim 6, characterized in that, The management, monitoring, and computing module includes a high-speed multi-node communication interface and protocol, which exchanges data with other modules and components in the system to achieve real-time data transmission and processing.

8. A computer-readable storage medium storing a computer program / instructions, characterized in that, The computer program / instructions are programmed or configured to execute the integrated wind, solar, and energy storage coordinated management and control method according to any one of claims 1 to 5 via a processor.

9. A computer program product comprising a computer program / instructions, characterized in that, The computer program / instructions are programmed or configured to execute the integrated wind, solar, and energy storage coordinated management and control method according to any one of claims 1 to 5 via a processor.

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