Wind-solar-storage combined operation method and device based on power prediction precision

Abstract

The invention relates to the technical field of new energy power generation, and particularly provides a wind-solar-storage combined operation method and device based on power prediction precision, and the method comprises the steps: obtaining the power prediction data of a new energy station, and determining the prediction deviation of the power prediction data; and performing optimization regulation and control on the wind and light storage combined system based on the prediction deviation. According to the technical scheme provided by the invention, various influence factors are fully considered, prediction error compensation and extreme weather coping strategies are provided, the power prediction precision of the new energy station can be remarkably improved, and a more accurate reference basis is provided for power grid dispatching.

Description

Technical Field

[0001] The present invention relates to the technical field of new energy power generation, and particularly relates to a combined operation method and device of wind-solar energy storage based on power prediction accuracy. Background Art

[0002] The power output of new energy power stations such as wind power and photovoltaic power is affected by various factors, such as weather conditions, equipment status, etc. Traditional prediction methods often have difficulty comprehensively considering these factors, which leads to large errors in power prediction. Especially in extreme weather conditions (such as storms, extreme high or low temperatures), this error may be further exacerbated, thereby affecting the dispatching and operation efficiency of the power grid.

[0003] Energy storage systems have been widely used in new energy power stations to suppress power fluctuations and provide standby capacity. However, most of the existing technologies focus on the configuration of energy storage capacity and the optimization of charge and discharge strategies, and rarely pay attention to the compensation of prediction errors and special coping strategies under extreme weather conditions. Therefore, there is an urgent need for a combined operation method of wind-solar energy storage that can improve the power prediction accuracy of new energy power stations. Summary of the Invention

[0004] In order to overcome the above defects, the present invention proposes a combined operation method and device of wind-solar energy storage based on power prediction accuracy.

[0005] In a first aspect, a combined operation method of wind-solar energy storage based on power prediction accuracy is provided. The combined operation method of wind-solar energy storage based on power prediction accuracy includes:

[0006] Obtain the power prediction data of the new energy power station, and determine the prediction deviation of the power prediction data;

[0007] Optimize and control the wind-solar energy storage combined system based on the prediction deviation.

[0008] Preferably, the prediction deviation of the power prediction data is as follows:

[0009] P = (P 1 - P 2 ) / P 2

[0010] In the above formula, P is the prediction deviation of the power prediction data, P 1 is the power prediction data of the new energy power station, and P 2 is the actual power data of the new energy power station.

[0011] Preferably, the obtaining of the power prediction data of the new energy power station includes:

[0012] Obtain the power-related factor data of the prediction period;

[0013] Use the power-related factor data for the prediction period as the input of a pre-trained neural network model to obtain the power prediction data of the new energy power station output by the pre-trained neural network model.

[0014] Further, the power-related factors include at least one of the following: meteorological factors, operating status factors of the power generation equipment in the new energy power station.

[0015] Preferably, the optimization and control of the wind-solar-storage combined system based on the prediction deviation includes:

[0016] When no extreme weather warning signal is received from the meteorological system, and the prediction deviation is greater than 10% and less than 30%, control the energy storage system in the wind-solar-storage combined system to discharge until the prediction deviation is less than 3% or the state of charge of the energy storage system is less than 10%;

[0017] When no extreme weather warning signal is received from the meteorological system, and the prediction deviation is less than -10% and greater than -30%, control the energy storage system in the wind-solar-storage combined system to charge until the prediction deviation is greater than -3% or the state of charge of the energy storage system is greater than 90%.

[0018] Preferably, the optimization and control of the wind-solar-storage combined system based on the prediction deviation includes:

[0019] When no extreme weather warning signal is received from the meteorological system, and the prediction deviation is greater than 30% and lasts for more than 30 minutes, control the energy storage system in the wind-solar-storage combined system to discharge until the prediction deviation is less than 3% or the state of charge of the energy storage system is less than 10%, and control the pumped-storage system in the wind-solar-storage combined system to release water to the lower reservoir until the prediction deviation is less than 3% or the operating time of the pumped-storage system reaches 4 hours;

[0020] When no extreme weather warning signal is received from the meteorological system, and the prediction deviation is less than -30% and lasts for more than 30 minutes, control the energy storage system in the wind-solar-storage combined system to charge until the prediction deviation is less than 3% or the state of charge of the energy storage system is greater than 90%, and control the pumped-storage system in the wind-solar-storage combined system to pump water to the upper reservoir until the prediction deviation is less than 3% or the operating time of the pumped-storage system reaches 4 hours.

[0021] Preferably, the optimization and control of the wind-solar-storage combined system based on the prediction deviation includes:

[0022] When an extreme weather warning signal is received from the meteorological system, and the prediction deviation is greater than 5% and less than 10%, control the energy storage system in the wind-solar-storage combined system to discharge until the prediction deviation is less than 3% or the state of charge of the energy storage system is less than 10%;

[0023] When receiving the extreme weather warning signal issued by the meteorological system and the prediction deviation is less than -5% and greater than -10%, control the energy storage system in the wind-solar-storage combined system to charge until the prediction deviation is greater than -3% or the state of charge of the energy storage system is greater than 90%.

[0024] Preferably, the optimization regulation of the wind-solar-storage combined system based on the prediction deviation includes:

[0025] When receiving the extreme weather warning signal issued by the meteorological system and the prediction deviation is greater than 10% and lasts for more than 30 minutes, control the energy storage system in the wind-solar-storage combined system to discharge until the prediction deviation is less than 3% or the state of charge of the energy storage system is less than 10%, and control the pumped-storage system in the wind-solar-storage combined system to release water to the lower reservoir until the prediction deviation is less than 3% or the operation time of the pumped-storage system reaches 4 hours;

[0026] When receiving the extreme weather warning signal issued by the meteorological system and the prediction deviation is less than -10% and lasts for more than 30 minutes, control the energy storage system in the wind-solar-storage combined system to charge until the prediction deviation is less than 3% or the state of charge of the energy storage system is greater than 90%, and control the pumped-storage system in the wind-solar-storage combined system to pump water to the upper reservoir until the prediction deviation is less than 3% or the operation time of the pumped-storage system reaches 4 hours.

[0027] In a second aspect, a wind-solar-storage combined operation device based on power prediction accuracy is provided. The wind-solar-storage combined operation device based on power prediction accuracy includes:

[0028] An acquisition module, configured to acquire power prediction data of a new energy power station and determine the prediction deviation of the power prediction data;

[0029] A regulation module, configured to perform optimization regulation on the wind-solar-storage combined system based on the prediction deviation.

[0030] In a third aspect, a computer device is provided, including: one or more processors;

[0031] The processor is configured to execute one or more programs;

[0032] When the one or more programs are executed by the one or more processors, the wind-solar-storage combined operation method based on power prediction accuracy as described above is implemented.

[0033] In a fourth aspect, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed, the wind-solar-storage combined operation method based on power prediction accuracy as described above is implemented.

[0034] One or more of the above technical solutions of the present invention have at least one or more of the following beneficial effects:

[0035] The present invention provides a method and device for combined operation of wind-solar-storage based on power prediction accuracy, including: obtaining power prediction data of a new energy power station and determining the prediction deviation of the power prediction data; optimizing and controlling the wind-solar-storage combined system based on the prediction deviation. The technical solution provided by the present invention fully considers various influencing factors and has a prediction error compensation and extreme weather response strategy, which can significantly improve the accuracy of power prediction of a new energy power station and provide a more accurate reference basis for power grid dispatching. Description of the Drawings

[0036] Figure 1 It is a schematic diagram of the main steps of the method for combined operation of wind-solar-storage based on power prediction accuracy according to an embodiment of the present invention. Detailed Embodiments

[0037] The following further details the specific embodiments of the present invention with reference to the drawings.

[0038] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts fall within the scope of protection of the present invention.

[0039] Embodiment 1

[0040] Refer to the attached Figure 1 , Figure 1 It is a schematic diagram of the main steps of the method for combined operation of wind-solar-storage based on power prediction accuracy according to an embodiment of the present invention. As Figure 1 shown, the method for combined operation of wind-solar-storage based on power prediction accuracy in the embodiment of the present invention mainly includes the following steps:

[0041] Step S101: Obtain power prediction data of a new energy power station and determine the prediction deviation of the power prediction data;

[0042] Step S102: Optimize and control the wind-solar-storage combined system based on the prediction deviation.

[0043] In this embodiment, the prediction deviation of the power prediction data is as follows:

[0044] P = (P 1 - P 2 ) / P 2

[0045] In the above formula, P is the prediction deviation of the power prediction data, P 1 is the power prediction data of the new energy power station, P 2 is the actual power data of the new energy power station.

[0046] In this embodiment, the obtaining of the power prediction data of the new energy power station includes:

[0047] Obtaining power-related factor data for the prediction period;

[0048] Taking the power-related factor data for the prediction period as the input of a pre-trained neural network model, and obtaining the power prediction data of the new energy power station output by the pre-trained neural network model.

[0049] Wherein, the power-related factors include at least one of the following: meteorological factors, operating state factors of the power generation equipment of the new energy power station.

[0050] In one implementation, data collection collects meteorological data, historical power generation data, and equipment status information through multiple data sources. These data include wind farm data, photovoltaic power station data, and the total wind power and total photovoltaic power of a preset area at different times. Based on the collected data, a prediction model module is used for the combined prediction of wind and solar power generation. The prediction model simultaneously considers the prediction of wind power and photovoltaic power, and calculates the combined prediction loss value by combining the prediction loss values of both to optimize the prediction accuracy of the model. This system can comprehensively consider various factors, such as weather changes, historical power generation trends, etc., to improve the accuracy and reliability of the prediction.

[0051] The prediction model includes specific prediction algorithms and models for predicting wind and solar power generation. As the data continues to accumulate, the prediction model can be optimized through a real-time feedback and model update mechanism to improve the prediction accuracy. The prediction results are transmitted to the meteorological warning system through the prediction result output link. The meteorological warning system evaluates the prediction results, focusing on the magnitude of the prediction deviation and whether extreme weather conditions are encountered.

[0052] In this embodiment, the optimizing and regulating the wind-solar storage combined system based on the prediction deviation includes:

[0053] When no extreme weather warning signal is received from the meteorological system, and the prediction deviation is greater than 10% and less than 30%, controlling the energy storage system in the wind-solar storage combined system to discharge until the prediction deviation is less than 3% or the state of charge of the energy storage system is less than 10%;

[0054] When no extreme weather warning signal is received from the meteorological system, and the prediction deviation is less than -10% and greater than -30%, control the energy storage system in the wind-solar-storage combined system to charge until the prediction deviation is greater than -3% or the state of charge of the energy storage system is greater than 90%.

[0055] In this embodiment, the optimization control of the wind-solar-storage combined system based on the prediction deviation includes:

[0056] When no extreme weather warning signal is received from the meteorological system, and the prediction deviation is greater than 30% and lasts for more than 30 minutes, control the energy storage system in the wind-solar-storage combined system to discharge until the prediction deviation is less than 3% or the state of charge of the energy storage system is less than 10%, and control the pumped-storage system in the wind-solar-storage combined system to release water to the lower reservoir until the prediction deviation is less than 3% or the operation time of the pumped-storage system reaches 4 hours;

[0057] When no extreme weather warning signal is received from the meteorological system, and the prediction deviation is less than -30% and lasts for more than 30 minutes, control the energy storage system in the wind-solar-storage combined system to charge until the prediction deviation is less than 3% or the state of charge of the energy storage system is greater than 90%, and control the pumped-storage system in the wind-solar-storage combined system to pump water to the upper reservoir until the prediction deviation is less than 3% or the operation time of the pumped-storage system reaches 4 hours.

[0058] In this embodiment, the optimization control of the wind-solar-storage combined system based on the prediction deviation includes:

[0059] When an extreme weather warning signal is received from the meteorological system, and the prediction deviation is greater than 5% and less than 10%, control the energy storage system in the wind-solar-storage combined system to discharge until the prediction deviation is less than 3% or the state of charge of the energy storage system is less than 10%;

[0060] When an extreme weather warning signal is received from the meteorological system, and the prediction deviation is less than -5% and greater than -10%, control the energy storage system in the wind-solar-storage combined system to charge until the prediction deviation is greater than -3% or the state of charge of the energy storage system is greater than 90%.

[0061] In this embodiment, the optimization control of the wind-solar-storage combined system based on the prediction deviation includes:

[0062] When receiving the extreme weather warning signal issued by the meteorological system, and when the prediction deviation is greater than 10% and lasts for more than 30 minutes, control the energy storage system in the wind-solar-storage combined system to discharge until the prediction deviation is less than 3% or the state of charge of the energy storage system is less than 10%, and control the pumped-storage system in the wind-solar-storage combined system to release water to the lower reservoir until the prediction deviation is less than 3% or the operation time of the pumped-storage system reaches 4 hours;

[0063] When receiving the extreme weather warning signal issued by the meteorological system, and when the prediction deviation is less than -10% and lasts for more than 30 minutes, control the energy storage system in the wind-solar-storage combined system to charge until the prediction deviation is less than 3% or the state of charge of the energy storage system is greater than 90%, and control the pumped-storage system in the wind-solar-storage combined system to pump water to the upper reservoir until the prediction deviation is less than 3% or the operation time of the pumped-storage system reaches 4 hours.

[0064] After completing a round of prediction and regulation, the system will conduct data comparison and analysis. By comparing the difference between the actual power generation situation and the prediction result, the system can evaluate the accuracy of the prediction model and update and optimize the model accordingly. In addition, the system will also formulate a more reasonable energy management strategy based on the experience and feedback during the operation process to improve the overall performance and efficiency of the system.

[0065] Embodiment 2

[0066] Based on the same inventive concept, the present invention also provides a wind-solar-storage combined operation device based on power prediction accuracy, and the wind-solar-storage combined operation device based on power prediction accuracy includes:

[0067] An acquisition module, configured to acquire power prediction data of a new energy power station and determine the prediction deviation of the power prediction data;

[0068] A regulation module, configured to perform optimal regulation on the wind-solar-storage combined system based on the prediction deviation.

[0069] Preferably, the prediction deviation of the power prediction data is as follows:

[0070] P=(P 1 -P 2 ) / P 2

[0071] In the above formula, P is the prediction deviation of the power prediction data, P 1 is the power prediction data of the new energy power station, and P 2 is the actual power data of the new energy power station.

[0072] Preferably, the acquisition of the power prediction data of the new energy power station includes:

[0073] Obtain power-related factor data for the prediction period;

[0074] Use the power-related factor data for the prediction period as the input of a pre-trained neural network model to obtain power prediction data of a new energy power station output by the pre-trained neural network model.

[0075] Furthermore, the power-related factors include at least one of the following: meteorological factors, operating status factors of new energy power station generating equipment.

[0076] Preferably, the optimizing control of the wind-solar-storage combined system based on the prediction deviation includes:

[0077] When no extreme weather warning signal is received from the meteorological system, and the prediction deviation is greater than 10% and less than 30%, control the energy storage system in the wind-solar-storage combined system to discharge until the prediction deviation is less than 3% or the state of charge of the energy storage system is less than 10%;

[0078] When no extreme weather warning signal is received from the meteorological system, and the prediction deviation is less than -10% and greater than -30%, control the energy storage system in the wind-solar-storage combined system to charge until the prediction deviation is greater than -3% or the state of charge of the energy storage system is greater than 90%.

[0079] Preferably, the optimizing control of the wind-solar-storage combined system based on the prediction deviation includes:

[0080] When no extreme weather warning signal is received from the meteorological system, and the prediction deviation is greater than 30% and lasts for more than 30 minutes, control the energy storage system in the wind-solar-storage combined system to discharge until the prediction deviation is less than 3% or the state of charge of the energy storage system is less than 10%, and control the pumped-storage system in the wind-solar-storage combined system to release water to the lower reservoir until the prediction deviation is less than 3% or the operating time of the pumped-storage system reaches 4 hours;

[0081] When no extreme weather warning signal is received from the meteorological system, and the prediction deviation is less than -30% and lasts for more than 30 minutes, control the energy storage system in the wind-solar-storage combined system to charge until the prediction deviation is less than 3% or the state of charge of the energy storage system is greater than 90%, and control the pumped-storage system in the wind-solar-storage combined system to pump water to the upper reservoir until the prediction deviation is less than 3% or the operating time of the pumped-storage system reaches 4 hours.

[0082] Preferably, the optimizing control of the wind-solar-storage combined system based on the prediction deviation includes:

[0083] When receiving the extreme weather warning signal issued by the meteorological system and the prediction deviation is greater than 5% and less than 10%, control the energy storage system in the wind-solar-storage combined system to discharge until the prediction deviation is less than 3% or the state of charge of the energy storage system is less than 10%.

[0084] When receiving the extreme weather warning signal issued by the meteorological system and the prediction deviation is less than -5% and greater than -10%, control the energy storage system in the wind-solar-storage combined system to charge until the prediction deviation is greater than -3% or the state of charge of the energy storage system is greater than 90%.

[0085] Preferably, the optimization and control of the wind-solar-storage combined system based on the prediction deviation includes:

[0086] When receiving the extreme weather warning signal issued by the meteorological system and the prediction deviation is greater than 10% and lasts for more than 30 minutes, control the energy storage system in the wind-solar-storage combined system to discharge until the prediction deviation is less than 3% or the state of charge of the energy storage system is less than 10%, and control the pumped-storage system in the wind-solar-storage combined system to release water to the lower reservoir until the prediction deviation is less than 3% or the operation time of the pumped-storage system reaches 4 hours;

[0087] When receiving the extreme weather warning signal issued by the meteorological system and the prediction deviation is less than -10% and lasts for more than 30 minutes, control the energy storage system in the wind-solar-storage combined system to charge until the prediction deviation is less than 3% or the state of charge of the energy storage system is greater than 90%, and control the pumped-storage system in the wind-solar-storage combined system to pump water to the upper reservoir until the prediction deviation is less than 3% or the operation time of the pumped-storage system reaches 4 hours.

[0088] Embodiment 3

[0089] Based on the same inventive concept, the present invention further provides a computer device, which includes a processor and a memory. The memory is used to store a computer program, and the computer program includes program instructions. The processor is used to execute the program instructions stored in the computer storage medium. The processor may be a Central Processing Unit (CPU), or may also be other general-purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field-Programmable Gate Arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. It is the computing core and control core of the terminal, and is suitable for implementing one or more instructions. Specifically, it is suitable for loading and executing one or more instructions in the computer storage medium to implement the corresponding method flow or corresponding function, so as to implement the steps of a wind-solar-storage combined operation method based on power prediction accuracy in the above embodiments.

[0090] Embodiment 4

[0091] Based on the same inventive concept, the present invention further provides a storage medium, specifically a computer-readable storage medium (Memory). The computer-readable storage medium is a memory device in a computer device and is used to store programs and data. It can be understood that the computer-readable storage medium here can include both the built-in storage medium in the computer device and, of course, the extended storage medium supported by the computer device. The computer-readable storage medium provides a storage space, and this storage space stores the operating system of the terminal. And, one or more instructions suitable for being loaded and executed by the processor are also stored in this storage space. These instructions can be one or more computer programs (including program codes). It should be noted that the computer-readable storage medium here can be a high-speed RAM memory or a non-volatile memory, such as at least one disk memory. The one or more instructions stored in the computer-readable storage medium can be loaded and executed by the processor to implement the steps of a wind-solar-storage combined operation method based on power prediction accuracy in the above embodiments.

[0092] Those skilled in the art should understand that the embodiments of the present invention can be provided as a method, a system, or a computer program product. Therefore, the present invention can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk memory, CD-ROM, optical memory, etc.) that contain computer-usable program code.

[0093] The present invention is described with reference to the flowcharts and / or block diagrams of methods, apparatuses (systems), and computer program products according to the embodiments of the present invention. It should be understood that each flow and / or block in the flowchart and / or block diagram, as well as the combination of flows and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing devices generate means for implementing the functions specified in one Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0094] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer-readable memory generate a manufactured article including instruction means, and the instruction means implements the functions specified in one Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0095] These computer program instructions can also be loaded onto a computer or other programmable data processing device, so that a series of operation steps are executed on the computer or other programmable device to generate a computer-implemented process. Thus, the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in one Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0096] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit them. Although the present invention has been described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: still, the specific implementation manners of the present invention can be modified or equivalently replaced, and any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered by the protection scope of the claims of the present invention.

Claims

1. A wind-solar-energy-storage joint operation method based on power prediction accuracy, characterized in that: The method comprises: Obtaining power prediction data of a new energy station and determining a prediction deviation of the power prediction data; The wind-solar-energy-storage combined system is optimized and regulated based on the prediction deviation.

2. The method according to claim 1, characterized in that The prediction deviation of the power prediction data is as follows: P=(P1-P2) / P2 In the above formula, P is the prediction deviation of the power prediction data, P1 is the power prediction data of the new energy station, and P2 is the actual power data of the new energy station.

3. The method according to claim 1, characterized in that The obtaining of power prediction data of new energy stations includes: Obtaining power-related factor data for the forecast period; The power-related factor data of the prediction period is used as the input of the pre-trained neural network model to obtain the power prediction data of the new energy station output by the pre-trained neural network model.

4. The method according to claim 3, characterized in that The power-related factors include at least one of the following: meteorological factors and operating status factors of power generation equipment at new energy stations.

5. The method according to claim 1, characterized in that The optimizing and regulating the wind-solar-energy-storage combined system based on the prediction deviation includes: When no extreme weather warning signal is received from the meteorological system and the forecast deviation is greater than 10% and less than 30%, the energy storage system in the wind-solar-energy storage system is controlled to discharge until the forecast deviation is less than 3% or the state of charge of the energy storage system is less than 10%; When no extreme weather warning signal is received from the meteorological system and the forecast deviation is less than -10% and greater than -30%, the energy storage system in the wind-solar-energy storage system is controlled to charge until the forecast deviation is greater than -3% or the state of charge of the energy storage system is greater than 90%.

6. The method according to claim 1, characterized in that The optimizing and regulating the wind-solar-energy-storage combined system based on the prediction deviation includes: When no extreme weather warning signal is received from the meteorological system and the forecast deviation is greater than 30% and lasts for more than 30 minutes, the energy storage system in the wind-solar-energy storage system is controlled to discharge until the forecast deviation is less than 3% or the energy storage system state of charge is less than 10%, and the pumped storage system in the wind-solar-energy storage system is controlled to release water to the lower reservoir until the forecast deviation is less than 3% or the pumped storage system operation time reaches 4 hours; When no extreme weather warning signal is received from the meteorological system and the prediction deviation is less than -30% and lasts for more than 30 minutes, the energy storage system in the wind-solar-energy storage combined system is controlled to charge until the prediction deviation is less than 3% or the energy storage system charge state is greater than 90%, and the pumped storage system in the wind-solar-energy storage combined system is controlled to pump water to the upper reservoir until the prediction deviation is less than 3% or the pumped storage system operation time reaches 4 hours.

7. The method according to claim 1, characterized in that The optimizing and regulating the wind-solar-energy-storage combined system based on the prediction deviation includes: When an extreme weather warning signal is received from the meteorological system and the forecast deviation is greater than 5% and less than 10%, the energy storage system in the wind-solar-energy storage system is controlled to discharge until the forecast deviation is less than 3% or the state of charge of the energy storage system is less than 10%; When an extreme weather warning signal is received from the meteorological system and the forecast deviation is less than -5% and greater than -10%, the energy storage system in the wind-solar-energy storage system is controlled to charge until the forecast deviation is greater than -3% or the state of charge of the energy storage system is greater than 90%.

8. The method according to claim 1, characterized in that The optimizing and regulating the wind-solar-energy-storage combined system based on the prediction deviation includes: When an extreme weather warning signal is received from the meteorological system and the forecast deviation is greater than 10% and lasts for more than 30 minutes, the energy storage system in the wind-solar-energy storage system is controlled to discharge until the forecast deviation is less than 3% or the energy storage system state of charge is less than 10%, and the pumped storage system in the wind-solar-energy storage system is controlled to release water to the lower reservoir until the forecast deviation is less than 3% or the pumped storage system operation time reaches 4 hours; When an extreme weather warning signal is received from the meteorological system and the prediction deviation is less than -10% and lasts for more than 30 minutes, the energy storage system in the wind-solar-energy storage combined system is controlled to charge until the prediction deviation is less than 3% or the charge state of the energy storage system is greater than 90%, and the pumped storage system in the wind-solar-energy storage combined system is controlled to pump water to the upper reservoir until the prediction deviation is less than 3% or the operation time of the pumped storage system reaches 4 hours.

9. A device for the wind-solar-energy storage joint operation method based on power prediction accuracy according to any one of claims 1 to 8, characterized in that: The device comprises: An acquisition module, used to acquire power prediction data of a new energy station and determine a prediction deviation of the power prediction data; A control module is used to optimize and control the wind-solar-energy-storage combined system based on the prediction deviation.

10. A computer device, characterized in that: include: one or more processors; The processor is configured to execute one or more programs; When the one or more programs are executed by the one or more processors, the wind-solar-energy storage joint operation method based on power prediction accuracy as described in any one of claims 1 to 8 is implemented.

11. A computer-readable storage medium, characterized in that: A computer program is stored thereon, and when the computer program is executed, the wind-solar-energy storage joint operation method based on power prediction accuracy as described in any one of claims 1 to 8 is implemented.

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