Control method, system and device of wind-solar-high-voltage cascade energy storage grid-connected system

Abstract

The application belongs to the field of new energy comprehensive utilization, and discloses a control method, system and equipment of a wind-light-high-voltage cascaded energy grid-connected system; according to a predetermined time interval, a prediction value of a preset parameter index in a wind power generation system and a prediction value of a preset parameter index in a photovoltaic power generation system are obtained; based on the prediction values of the preset parameter indexes in the wind power generation system and the photovoltaic power generation system, it is determined whether the wind power generation power fluctuation and the photovoltaic power generation power fluctuation occur simultaneously in the target grid-connected system; if yes, the priority values of the prediction values of the preset parameter indexes in the wind power generation system and the photovoltaic power generation system are calculated; according to the priority values of the prediction values of the preset parameter indexes in the wind power generation system and the photovoltaic power generation system, the operation mode of the high-voltage cascaded energy system is determined; the application can accurately cope with the complex power fluctuation of the wind-light-high-voltage cascaded energy grid-connected system, reasonably allocate the operation mode of the high-voltage cascaded energy system, and ensure the smooth transition of the grid-connected system.

Description

Technical Field

[0001] This invention belongs to the field of new energy comprehensive utilization technology, and specifically relates to a control method, system and equipment for a wind-solar-high voltage cascaded energy storage grid-connected system. Background Technology

[0002] With the development of new energy technologies, wind and solar energy, as clean and renewable energy forms, are being used more and more widely. However, both wind and solar power generation are prone to fluctuations, which pose a great challenge to the stable operation of the power system. To mitigate the power fluctuations of wind or solar power generation, high-voltage cascaded energy storage systems, such as grid-connected high-voltage cascaded energy storage systems, are connected to the power grid. Through the charging and discharging process of the high-voltage cascaded energy storage system, the power grid can be assisted in mitigating the impact of wind or solar power power fluctuations. In particular, by predicting the power fluctuations of wind or solar power generation and planning the coordinated operation of the high-voltage cascaded energy storage system with the power grid in advance, a smooth transition of the power system can be achieved, realizing the effect of new energy equivalent to thermal power substitution.

[0003] Currently, the technology of introducing high-voltage cascaded energy storage systems to assist the power grid system in mitigating power fluctuations in wind or solar power generation has been applied in power grids integrating single energy sources such as wind power and energy storage or solar power and energy storage with high-voltage cascaded energy storage systems. However, although high-voltage cascaded energy storage systems have shown certain advantages in integrating single energy sources such as wind power and energy storage or solar power and energy storage with the power grid, they cannot be directly applied to complex wind-solar-high-voltage cascaded energy storage grid-connected systems because they only study how to smoothly transition the power grid integrating single energy sources with high-voltage cascaded energy storage systems and do not consider integrated coordinated control. Therefore, how to comprehensively consider the smooth transition and economic efficiency of grid-connected system control methods when power fluctuations occur in wind and solar power generation has become an urgent problem to be solved. Summary of the Invention

[0004] To address the technical problems existing in the prior art, this invention provides a control method, system, and equipment for a wind-solar-high voltage cascaded energy storage grid-connected system, thereby solving the technical problem that the prior art cannot be directly applied to complex wind-solar-high voltage cascaded energy storage grid-connected systems.

[0005] To achieve the above objectives, the technical solution adopted by the present invention is as follows: This invention provides a control method for a wind-solar-high voltage cascaded energy storage grid-connected system, comprising: According to a predetermined time interval, the predicted values ​​of preset parameter indicators in the wind power generation system are obtained; According to a predetermined time interval, obtain the predicted values ​​of preset parameter indicators in the photovoltaic power generation system; Based on the predicted values ​​of preset parameter indicators in the wind power generation system and the photovoltaic power generation system, determine whether the target grid-connected system experiences both wind power generation power fluctuations and photovoltaic power generation power fluctuations simultaneously. If so, calculate the priority value of the predicted value of the preset parameter index in the wind power generation system and the priority value of the predicted value of the preset parameter index in the photovoltaic power generation system respectively. The operating mode of the high-voltage cascaded energy storage system is determined based on the priority values ​​of the predicted values ​​of the preset parameters in the wind power generation system and the photovoltaic power generation system.

[0006] Furthermore, the predicted values ​​of preset parameters in wind power generation systems include predicted values ​​of gusts, turbulence, and wind turbine status; the predicted values ​​of preset parameters in photovoltaic power generation systems include predicted values ​​of cloud cover and predicted values ​​of sudden changes in irradiance.

[0007] Furthermore, based on the predicted values ​​of preset parameter indicators in the wind power generation system and the photovoltaic power generation system, the process of determining whether the target grid-connected system simultaneously experiences fluctuations in wind power generation and photovoltaic power generation is as follows: In each time interval, the predicted values ​​of preset parameter indicators in the wind power generation system are compared with the preset wind power power fluctuation threshold, and the predicted values ​​of preset parameter indicators in the photovoltaic power generation system are compared with the preset photovoltaic power fluctuation threshold. If, within the same time interval, the predicted value of the preset parameter index in the wind power generation system is greater than the preset wind power power fluctuation threshold, and the predicted value of the preset parameter index in the photovoltaic power generation system is greater than the preset photovoltaic power fluctuation threshold, then the target grid-connected system will experience both wind power power fluctuation and photovoltaic power fluctuation simultaneously.

[0008] Furthermore, the process of calculating the priority values ​​of the predicted values ​​of the preset parameter indicators in the wind power generation system and the photovoltaic power generation system, respectively, is as follows:

[0009] in, Priority values ​​for the predicted values ​​of preset parameter indicators in wind power generation systems or photovoltaic power generation systems. The time decay factor for preset parameter indicators; The influence weighting coefficients of preset parameter indicators; The confidence factor for the preset parameter index.

[0010] Furthermore, the process of determining the operating mode of the high-voltage cascaded energy storage system based on the priority values ​​of the predicted values ​​of the preset parameter indicators in the wind power generation system and the photovoltaic power generation system is as follows: The priority values ​​of the predicted values ​​of the preset parameter indicators in the wind power generation system and the preset parameter indicators in the photovoltaic power generation system are sorted by size, and the predicted value of the preset parameter indicator with the highest priority value is determined. The operating mode of the high-voltage cascaded energy storage system is determined based on the predicted value of the preset parameter index with the highest priority value. Among them, the operating modes of the high-voltage cascaded energy storage system include the wind power generation power fluctuation regulation priority mode and the photovoltaic power generation power fluctuation regulation priority mode.

[0011] Furthermore, the process of determining the operating mode of the high-voltage cascaded energy storage system based on the predicted value of the preset parameter index with the highest priority value is as follows: If the predicted value of the preset parameter index with the highest priority value is the predicted value of the preset parameter index in the wind power generation system, then the operation mode of the high-voltage cascaded energy storage system is adjusted to the wind power generation power fluctuation regulation priority mode. If the predicted value of the preset parameter index with the highest priority value is the predicted value of the preset parameter index in the photovoltaic power generation system, then the operation mode of the high-voltage cascaded energy storage system will be adjusted to the photovoltaic power generation fluctuation regulation priority mode.

[0012] Furthermore, the priority mode for wind power generation fluctuation regulation is as follows: Considering the useful work of the photovoltaic power generation system, the high-voltage cascaded energy storage system and the power grid, under the joint operation scenario of the photovoltaic power generation system and the high-voltage cascaded energy storage system, the primary frequency regulation equation and the secondary frequency regulation equation of the target grid-connected system are solved. Combined with the total cost objective function of the grid-connected system under the priority mode of wind power generation power fluctuation regulation, the primary frequency regulation power and the secondary frequency regulation power of the high-voltage cascaded energy storage system are obtained. Based on the primary and secondary frequency regulation power of the high-voltage cascaded energy storage system, the target grid-connected system is controlled by the high-voltage cascaded energy storage system.

[0013] Furthermore, the priority mode for photovoltaic power generation fluctuation regulation is as follows: Considering the useful work of the wind power generation system, the high-voltage cascaded energy storage system and the power grid, under the joint operation scenario of the wind power generation system and the high-voltage cascaded energy storage system, the primary frequency regulation equation and the secondary frequency regulation equation of the target grid-connected system are solved. Combined with the total cost objective function of the grid-connected system under the priority mode of photovoltaic power generation fluctuation regulation, the primary frequency regulation power and the secondary frequency regulation power of the high-voltage cascaded energy storage system are obtained. Based on the primary and secondary frequency regulation power of the high-voltage cascaded energy storage system, the target grid-connected system is controlled by the high-voltage cascaded energy storage system.

[0014] This invention also provides a control system for a wind-solar-high voltage cascaded energy storage grid-connected system, comprising: The wind power generation power fluctuation prediction module is used to obtain the predicted values ​​of preset parameter indicators in the wind power generation system at predetermined time intervals. The photovoltaic power generation fluctuation prediction module is used to obtain the predicted values ​​of preset parameter indicators in the photovoltaic power generation system at predetermined time intervals. The grid-connected system power fluctuation judgment module is used to determine whether the target grid-connected system experiences both wind power fluctuations and photovoltaic power fluctuations based on the predicted values ​​of preset parameter indicators in the wind power generation system and the predicted values ​​of preset parameter indicators in the photovoltaic power generation system. The priority value calculation module is used to calculate the priority value of the predicted value of the preset parameter index in the wind power generation system and the priority value of the predicted value of the preset parameter index in the photovoltaic power generation system respectively if the target grid-connected system experiences both wind power generation power fluctuations and photovoltaic power generation power fluctuations. The operation mode determination module is used to determine the operation mode of the high-voltage cascaded energy storage system based on the priority values ​​of the predicted values ​​of the preset parameter indicators in the wind power generation system and the priority values ​​of the predicted values ​​of the preset parameter indicators in the photovoltaic power generation system.

[0015] The present invention also provides an electronic device, comprising: A processor is used to execute computer programs; A computer-readable storage medium storing a computer program, which, when executed by the processor, performs the control method for the wind-solar-high-voltage cascaded energy storage grid-connected system.

[0016] Compared with the prior art, the beneficial effects of the present invention are as follows: The control method for a wind-solar-high-voltage cascaded energy storage grid-connected system provided by this invention acquires predicted values ​​of preset parameters for wind and solar power generation systems at predetermined time intervals to anticipate power fluctuations in wind and solar power generation. Based on the pre-perceived power fluctuations, it determines whether the target grid-connected system experiences simultaneous power fluctuations in both wind and solar power generation. When simultaneous power fluctuations occur, it calculates the priority values ​​of the predicted preset parameters for wind and solar power generation systems and determines the operating mode of the high-voltage cascaded energy storage system accordingly. This method can accurately respond to wind-solar-high-voltage power generation fluctuations. The complex power generation fluctuations of high-voltage cascaded energy storage grid-connected systems can be addressed by rationally allocating the operating modes of these systems to ensure a smooth transition while maintaining economic efficiency. Specifically, a priority judgment mechanism based on predicted values ​​of preset parameter indicators can fully consider the complexity and uncertainty of wind and solar power generation fluctuations. This allows for accurate prediction of the impact of power generation fluctuations from different energy sources on the grid-connected system, enabling rational allocation of the high-voltage cascaded energy storage system. This approach ensures a smooth transition while maintaining economic efficiency, providing a scientific and effective control strategy for complex wind-solar-high-voltage cascaded energy storage grid-connected systems.

[0017] The control system and electronic equipment of the wind-solar-high voltage cascaded energy storage grid-connected system provided by the present invention have all the advantages of the control method of the above-mentioned wind-solar-high voltage cascaded energy storage grid-connected system. Attached Figure Description

[0018] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0019] Figure 1 A flowchart of the control method for the wind-solar-high voltage cascaded energy storage grid-connected system provided in Example 1; Figure 2 This is a structural block diagram of the control system of the wind-solar-high voltage cascaded energy storage grid-connected system provided in Example 2; Figure 3 This is a structural block diagram of the electronic device provided in Example 3. Detailed Implementation

[0020] To make the technical problems, technical solutions, and beneficial effects solved by this application clearer, the technical solutions in the embodiments of this application 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 this application, and not all of them. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of this application.

[0021] Before describing the specific embodiments of this application, some of the technical terms involved in the embodiments of this application are explained as follows: The wind-solar-high voltage cascaded energy storage grid-connected system is a smart energy system that deeply integrates wind power generation, photovoltaic power generation and high voltage cascaded energy storage technology, and connects directly to the grid as a whole.

[0022] High-voltage cascaded energy storage system is an energy storage technology that uses cascaded H-bridges, modular multilevel power electronic converters, and other technologies to connect multiple energy storage units in series on the AC side to output high voltage, which is then directly connected to the power grid without going through a step-up transformer.

[0023] This invention provides a control method for a wind-solar-high voltage cascaded energy storage grid-connected system, comprising the following steps: Step 100: Obtain the predicted values ​​of preset parameter indicators in the wind power generation system according to the predetermined time interval.

[0024] Step 200: Obtain the predicted values ​​of preset parameter indicators in the photovoltaic power generation system according to the predetermined time interval.

[0025] Step 300: Based on the predicted values ​​of the preset parameter indicators in the wind power generation system and the preset parameter indicators in the photovoltaic power generation system, determine whether the target grid-connected system experiences both wind power generation power fluctuations and photovoltaic power generation power fluctuations simultaneously. Step 400: If the target grid-connected system experiences both wind power generation fluctuations and photovoltaic power generation fluctuations, calculate the priority values ​​of the predicted values ​​of the preset parameter indicators in the wind power generation system and the priority values ​​of the predicted values ​​of the preset parameter indicators in the photovoltaic power generation system, respectively. Step 500: Determine the operating mode of the high-voltage cascaded energy storage system based on the priority values ​​of the predicted values ​​of the preset parameter indicators in the wind power generation system and the priority values ​​of the predicted values ​​of the preset parameter indicators in the photovoltaic power generation system.

[0026] In the above embodiments, by synchronously acquiring the predicted values ​​of preset parameter indicators of wind power generation and photovoltaic power generation systems at predetermined time intervals, accurate prediction and coordinated monitoring of the power fluctuation status of wind-solar dual energy generation from the source are achieved. This breaks through the limitations of existing technologies that only study the power fluctuation of single energy generation and can directly adapt to different complex wind-solar-high voltage cascaded energy storage grid-connected systems. Based on the acquired predicted values ​​of preset parameter indicators of wind power generation and photovoltaic power generation systems, it is determined whether the grid-connected system experiences simultaneous wind power and photovoltaic power fluctuations. When the grid-connected system experiences simultaneous wind power and photovoltaic power fluctuations, the priority value of the predicted value of the preset parameter indicators is calculated, providing a quantitative basis for determining the operation mode of the high voltage cascaded energy storage system. This makes the operation and regulation of the energy storage system more targeted and scientific. It can prioritize and respond to energy power fluctuations with greater impact by prioritizing the classification, ensuring the smooth transition of the grid-connected system, and avoiding the increase in energy consumption caused by blind charging and discharging of the energy storage system. While taking into account system stability, it optimizes the operating economy and significantly improves the coordinated adaptability and overall operating efficiency of the high voltage cascaded energy storage system with wind-solar dual energy grid connection.

[0027] The following specific embodiments further explain the control method of the wind-solar-high voltage cascaded energy storage grid-connected system provided by the present invention: Example 1 As attached Figure 1 As shown, this embodiment 1 provides a control method for a wind-solar-high voltage cascaded energy storage grid-connected system, including the following steps: Step 1: Obtain the predicted values ​​of preset parameters in the wind power generation system at predetermined time intervals. These predicted values ​​include predicted gust wind values. turbulence prediction values Wind turbine generator condition prediction values .

[0028] Step 2: Obtain the predicted values ​​of preset parameters in the photovoltaic power generation system at predetermined time intervals. These predicted values ​​include cloud cover predictions. and irradiation mutation prediction value .

[0029] It should be noted that the predicted values ​​of the preset parameters in the wind power generation system or photovoltaic power generation system are obtained by using a predetermined prediction algorithm or prediction device. The predetermined prediction algorithm or prediction device can be an existing prediction method or prediction equipment, which is not an improvement of this application and does not affect the realization of the technical problem of this application. It will not be described in detail here.

[0030] The prediction period for preset parameter indicators in wind power or photovoltaic power generation systems is determined by a predetermined prediction algorithm or device; among them, the gust prediction value... Wind forecasting is achieved based on lidar wind measurement data; gust forecast values ​​are also available. Prediction period Determined by the wind measurement cycle of the lidar; turbulence prediction value Prediction period It mainly depends on the time it takes for micro-weather stations in the power grid system to acquire real-time meteorological data and the time it takes to calculate using turbulence models; the predicted state value of wind turbine generators. Prediction period It depends on the monitoring cycle of the wind turbine generators and the timing of potential problems in their operation, which is predicted using physical methods; cloud cover prediction values. Prediction period It depends on the time required for the sky imager to observe cloud trajectories in real time, the calculation time for satellite cloud images and cloud motion vector models; and the predicted value of sudden changes in irradiance. Prediction period It depends on the time it takes for the ground-based irradiance meter to collect irradiance data in real time and the time it takes for machine learning to calculate irradiance abrupt changes.

[0031] In this embodiment 1, the predicted gust value is used. Prediction period turbulence prediction values Prediction period Predicted status values ​​of wind turbine generator sets Prediction period Cloud cover prediction value Prediction period and predicted values ​​of sudden changes in irradiance Prediction period The shortest prediction period is used as the predetermined time interval.

[0032] Step 3: Based on the predicted values ​​of the preset parameter indicators in the wind power generation system and the photovoltaic power generation system, determine whether the target grid-connected system experiences simultaneous fluctuations in wind power generation and photovoltaic power generation. Specifically, the process is as follows: Step 31: In each time interval, compare the predicted values ​​of the preset parameter indicators in the wind power generation system with the preset wind power fluctuation threshold to obtain the comparison results of the predicted values ​​of the wind power generation system; in each time interval, compare the predicted values ​​of the preset parameter indicators in the photovoltaic power generation system with the preset photovoltaic power fluctuation threshold to obtain the comparison results of the predicted values ​​of the photovoltaic power generation system.

[0033] Specifically, within each time interval, the predicted gust values ​​are... The predicted turbulence values ​​are compared with the preset gust threshold. The predicted state value of the wind turbine generator is compared with the preset turbulence threshold. The predicted values ​​for the wind power system are compared with preset unit state thresholds to obtain comparison results; similarly, the predicted cloud cover values ​​are compared at each time interval. The predicted values ​​of sudden changes in irradiance are compared with the preset cloud cover threshold. The predicted values ​​of the photovoltaic power generation system are compared with the irradiance mutation threshold to obtain the comparison results.

[0034] Step 32: Based on the comparison results of the predicted values ​​of the wind power generation system and the photovoltaic power generation system, determine whether the target grid-connected system experiences both wind power generation power fluctuations and photovoltaic power generation power fluctuations simultaneously. If, within the same time interval, the predicted value of the preset parameter index in the wind power generation system is greater than the preset wind power generation power fluctuation threshold, and the predicted value of the preset parameter index in the photovoltaic power generation system is greater than the preset photovoltaic power generation fluctuation threshold, then the target grid-connected system experiences both wind power generation power fluctuations and photovoltaic power generation power fluctuations simultaneously.

[0035] Specifically, if the predicted gust value turbulence prediction values Wind turbine generator condition prediction values If at least one predicted value exceeds the corresponding threshold, the predicted value of the preset parameter index in the wind power generation system is considered to be greater than the preset wind power fluctuation threshold; otherwise, the predicted value of the preset parameter index in the wind power generation system is considered to be less than the preset wind power fluctuation threshold; if the predicted value is obstructed by clouds... and predicted values ​​of sudden changes in irradiance If at least one predicted value exceeds the corresponding threshold, the predicted value of the preset parameter index in the photovoltaic power generation system is considered to be greater than the preset photovoltaic power generation fluctuation threshold; otherwise, the predicted value of the preset parameter index in the photovoltaic power generation system is considered to be less than the preset photovoltaic power generation fluctuation threshold.

[0036] Step 4: If the target grid-connected system experiences both wind power generation fluctuations and photovoltaic power generation fluctuations simultaneously, calculate the priority values ​​of the predicted values ​​of the preset parameter indicators in the wind power generation system and the photovoltaic power generation system, respectively. Among these, the gust prediction value... The priority value is denoted as turbulence prediction value The priority value is denoted as Predicted state values ​​of wind turbine generators The priority value is denoted as Cloud cover prediction value The priority value is denoted as Predicted value of sudden change in irradiance The priority value is denoted as .

[0037] Specifically, the process of calculating the priority values ​​of the predicted values ​​of preset parameter indicators in wind power generation systems and photovoltaic power generation systems is as follows:

[0038] in, Priority values ​​for the predicted values ​​of preset parameter indicators in wind power generation systems or photovoltaic power generation systems. The time decay factor for preset parameter indicators; The influence weighting coefficients of preset parameter indicators; The confidence factor for the preset parameter index; This is a label for a preset parameter in a wind power system or photovoltaic power system, and can be 1, 2, 3, 4 or 5.

[0039] (1) Time decay factor of preset parameter index This is used to quantify the impact of the prediction period on the timeliness of the predicted values ​​of preset parameter indicators; where, the shorter the prediction period, the greater the time decay factor of the preset parameter indicators. The larger; specifically, the time decay factor of the preset parameter index. The calculation process is as follows:

[0040] in, The prediction period for the predicted values ​​of preset parameter indicators; This is the attenuation coefficient.

[0041] The prediction period of the predicted value of the quantified preset parameter index Gust forecast value Prediction period turbulence prediction values Prediction period Predicted status values ​​of wind turbine generator sets Prediction period Cloud cover prediction value Prediction period and predicted values ​​of sudden changes in irradiance Prediction period The unit is minutes.

[0042] Attenuation coefficient Based on the high-voltage cascaded energy storage system, the adjustment response time for grid power generation fluctuations caused by the predicted values ​​of preset parameter indicators in the wind power generation system and photovoltaic power generation system is set; preferably, when it is a short-term response, the attenuation coefficient is... Take 0.1; for long-term response, the attenuation coefficient is... Set to 0.01; Attenuation coefficient The value of is adjusted according to the actual specifications and response speed of the high-voltage cascaded energy storage system. Taking a 100-megawatt high-voltage cascaded direct-connected energy storage system based on a dual-core dual-DSP high-speed control system as an example, the 100-megawatt high-voltage cascaded direct-connected energy storage system can respond quickly to grid dispatch commands within 5ms and achieve 0% to 100% adjustment of active and reactive power within 50ms-100ms. Therefore, it can be judged that the high-voltage cascaded energy storage system has a fast response speed to power fluctuations in wind power and photovoltaic power generation, and the attenuation coefficient is high. Take 0.01.

[0043] (2) Weighting coefficients of the influence of preset parameter indicators The importance of parameter values ​​to controlling power generation fluctuations in the power grid is determined through historical data or simulation, with the value range being [0,1]. The influence weighting coefficients of preset parameter indicators are also considered. The higher the value, the greater the impact on system stability / efficiency; specifically, the weighting coefficient of the preset parameter index. It can be adjusted in real time according to the severity of predicted gusts, turbulence, wind turbine operating status, cloud cover, and sudden changes in irradiance. Preferably, the influence weight coefficient for gusts is in the range of 0.6-0.8, the influence weight coefficient for turbulence is in the range of 0.2-0.4, the influence weight coefficient for wind turbine status is in the range of 0.8-1, the influence weight coefficient for cloud cover is in the range of 0-0.2, and the influence weight coefficient for sudden changes in irradiance is in the range of 0.4-0.6.

[0044] (3) Confidence factor of preset parameter indicators Based on the accuracy of a predetermined prediction algorithm or device, the higher the accuracy, the higher the confidence factor of the preset parameter index. The higher the value, the higher the confidence factor of the preset parameter index. The calculation process is as follows:

[0045] in, The prediction error rate is derived from the statistical analysis of the deviations between historical predicted and actual values. These deviations can be statistically analyzed using artificial intelligence. Optionally, the prediction error rate... It can be obtained from the statistical analysis of experimental errors related to gusts, turbulence, wind turbine status, cloud cover, and sudden changes in irradiance in the power grid system.

[0046] Based on practical experience with new energy grid-connected systems, the confidence factor for gusts ranges from 0.6 to 0.9, the confidence factor for turbulence ranges from 0.5 to 0.8, the confidence factor for wind turbine generator status ranges from 0.6 to 0.85, the confidence factor for cloud cover ranges from 0.5 to 0.92, and the confidence factor for abrupt changes in radiance ranges from 0.5 to 0.92.

[0047] Step 5: Determine the operating mode of the high-voltage cascaded energy storage system based on the priority values ​​of the predicted values ​​of the preset parameters in the wind power generation system and the photovoltaic power generation system. The operating modes of the high-voltage cascaded energy storage system include a wind power generation fluctuation regulation priority mode and a photovoltaic power generation fluctuation regulation priority mode.

[0048] Specifically, the process is as follows: Step 51: Sort the priority values ​​of the predicted values ​​of the preset parameter indicators in the wind power generation system and the photovoltaic power generation system, and determine the predicted value of the preset parameter indicator with the highest priority value; specifically, sort the predicted values ​​of gusts... priority value turbulence prediction values priority value Predicted status values ​​of wind turbine generator sets priority value Cloud cover prediction value priority value and predicted values ​​of sudden changes in irradiance priority value Sort the data by size, and based on the sorting results, determine the predicted value of the preset parameter index with the highest priority value.

[0049] Step 52: Determine the operating mode of the high-voltage cascaded energy storage system based on the predicted value of the preset parameter with the highest priority value; specifically, if the predicted value of the preset parameter with the highest priority value is the predicted value of the preset parameter in the wind power generation system, that is, the predicted value of the preset parameter with the highest priority value is the predicted value of the gust wind. turbulence prediction values Or wind turbine generator condition prediction value If one of the following conditions is met, the operation mode of the high-voltage cascaded energy storage system will be adjusted to the wind power generation fluctuation regulation priority mode; if the predicted value of the preset parameter index with the highest priority value is the predicted value of the preset parameter index in the photovoltaic power generation system, that is, if the predicted value of the preset parameter index with the highest priority value is the cloud shading prediction value... and predicted values ​​of sudden changes in irradiance When one of the following conditions is met, the operation mode of the high-voltage cascaded energy storage system is adjusted to the photovoltaic power generation fluctuation regulation priority mode.

[0050] It should be noted that the target grid-connected system does not experience both wind power generation fluctuations and photovoltaic power generation fluctuations simultaneously. That is, within the same time interval, if only the predicted value of the preset parameter index in the wind power generation system is greater than the preset wind power generation fluctuation threshold, or only the predicted value of the preset parameter index in the photovoltaic power generation system is greater than the preset photovoltaic power generation fluctuation threshold, then the operation mode of the high-voltage cascaded energy storage system is determined based on the power generation fluctuations of the target grid-connected system.

[0051] Specifically, if, within the same time interval, only the predicted value of the preset parameter index in the wind power generation system exceeds the preset wind power fluctuation threshold, then the target grid-connected system will only experience wind power fluctuations, and the operation mode of the high-voltage cascaded energy storage system will be adjusted to the wind power fluctuation regulation priority mode. If, within the same time interval, only the predicted value of the preset parameter index in the photovoltaic power generation system exceeds the preset photovoltaic power fluctuation threshold, then the target grid-connected system will only experience photovoltaic power fluctuations, and the operation mode of the high-voltage cascaded energy storage system will be adjusted to the photovoltaic power fluctuation regulation priority mode.

[0052] The priority mode for wind power generation fluctuation regulation is as follows: Considering the useful work of the photovoltaic power generation system, the high-voltage cascaded energy storage system, and the power grid, under the joint operation scenario of the photovoltaic power generation system and the high-voltage cascaded energy storage system, the primary and secondary frequency regulation equations of the target grid-connected system are solved. Combined with the total cost objective function of the grid-connected system under the wind power fluctuation mode, the primary and secondary frequency regulation power of the high-voltage cascaded energy storage system are obtained. Based on the primary and secondary frequency regulation power of the high-voltage cascaded energy storage system, the target grid-connected system is controlled using the high-voltage cascaded energy storage system.

[0053] The priority mode for photovoltaic power generation fluctuation regulation is as follows: Considering the useful work of the wind power generation system, the high-voltage cascaded energy storage system, and the power grid, under the joint operation scenario of the wind power generation system and the high-voltage cascaded energy storage system, the primary and secondary frequency regulation equations of the target grid-connected system are solved. Combined with the objective function of the total cost of the grid-connected system under the photovoltaic power fluctuation mode, the primary and secondary frequency regulation power of the high-voltage cascaded energy storage system are obtained. Based on the primary and secondary frequency regulation power of the high-voltage cascaded energy storage system, the target grid-connected system is controlled using the high-voltage cascaded energy storage system.

[0054] The regulation principles of the wind power generation power fluctuation regulation priority mode and the photovoltaic power generation power fluctuation regulation priority mode are explained in detail below: Because the time between the predicted fluctuations in wind and solar power generation and the actual occurrence of these fluctuations is limited, it is necessary to calculate the necessary adjustment parameters within a short period. Therefore, to reduce the calculation time, a pre-set dedicated host computer can be used for parameter calculation. Furthermore, to save calculation time, in a simplified short-term scenario, only the useful power of the wind or solar power system, primary frequency regulation, and secondary frequency regulation are considered. It is important to emphasize that the entire grid-connected system still requires a basic power balance formula, which is then adjusted by other existing host computers based on the actual power loss in the grid. The pre-set dedicated host computer can communicate with existing host computers. The overall grid system... The regulation of power and voltage is existing technology in this field and will not be elaborated here. In this embodiment 1, the regulation principle of the wind power generation power fluctuation regulation priority mode and the photovoltaic power generation power fluctuation regulation priority mode is mainly derived from the power adjustment formula under the condition of wind / photovoltaic power fluctuation. The wind power generation power fluctuation regulation priority mode or the photovoltaic power generation power fluctuation regulation priority mode will output the control formula of the regulation power of the high-voltage cascaded energy storage system, wind power generation and photovoltaic power generation under the condition of predicted wind / photovoltaic power fluctuation, as well as the primary frequency regulation formula and the secondary frequency regulation formula of the power grid. Before the power generation fluctuation occurs, the regulation is carried out according to the control formula group to ensure a stable transition after the power generation fluctuation occurs.

[0055] In the wind power generation fluctuation regulation priority mode, to simplify control, only the useful work of the photovoltaic power generation system, the high-voltage cascaded energy storage system, and the power grid is considered. Under the scenario of joint operation of the photovoltaic power generation system and the high-voltage cascaded energy storage system, the equations for primary frequency regulation / secondary frequency regulation are solved to achieve a smooth transition of the power grid and economic optimization under the influence of wind power generation fluctuations.

[0056] To address wind power fluctuations, a simulated power grid system is first established. Within this system, corresponding monitoring devices are installed to monitor predicted wind power fluctuations. By controlling variables, the system monitors and controls changes in gusts, turbulence, and wind turbine states, recording the values ​​of these changes. The frequency deviation of the power grid system is also recorded when these simulated changes occur. and real-time load of the power grid The observed values ​​for gusts, turbulence, and wind turbine generator status were recorded, and the frequency deviations between each observed value and the power grid system were fitted. and load on the power grid due to fluctuations in power generation The functional relationship is determined; the system can be simulated using MATLAB / Simulink; furthermore, the grid frequency deviation is calculated based on the predicted value of wind power generation fluctuations. and real-time load of the power grid .

[0057] To address fluctuations in photovoltaic (PV) power generation, a simulated grid system was first established. Cloud cover and sudden changes in irradiance were monitored and controlled using controlled variables. The changes in cloud cover and irradiance were recorded, and the frequency deviation of the simulated grid system was also recorded when these changes occurred. and real-time load of the power grid Furthermore, the grid frequency deviation is calculated based on the predicted value of wind power generation fluctuations. and real-time load of the power grid .

[0058] Typically, wind / solar power generation fluctuates within a short period. It is assumed that the output of solar / wind power remains stable during this period, meaning the real-time output of solar / wind power is a constant value. The output value of the solar power system is denoted as... The output value of the wind power generation system is At this point, the equations for primary frequency modulation and secondary frequency modulation are as follows: (1) (2) in, This refers to the primary frequency regulation power of the high-voltage cascaded energy storage system. The primary frequency regulation droop coefficient of a high-voltage cascaded energy storage system; This refers to the power grid frequency deviation. Real-time load of the power grid; This is the secondary frequency regulation power of the high-voltage cascaded energy storage system; Power for the secondary frequency regulation AGC command of the power grid; This refers to the proportional coefficient of the secondary frequency modulation PI controller; This represents the integral coefficient of the secondary frequency modulation PI controller.

[0059] In the equation set (1) for primary frequency regulation, the grid frequency deviation Real-time load of power grid The primary frequency regulation power of the high-voltage cascaded energy storage system is calculated based on pre-solved known parameters. Primary frequency regulation droop coefficient of high-voltage cascaded energy storage system and the output value of photovoltaic power generation system These are parameters to be determined.

[0060] In the equation set (2) for secondary frequency regulation, the secondary frequency regulation power of the high-voltage cascaded energy storage system Grid secondary frequency regulation AGC command power , Proportional coefficient of secondary frequency modulation PI controller and the integral coefficient of the secondary frequency modulation PI controller These are parameters to be determined.

[0061] In addition, the design cost objective function is as follows; specifically, the main costs in the target grid-connected system include the cost of energy storage charging and discharging losses. Opportunity cost of photovoltaics and wind opportunity cost Other costs, such as AGC scheduling costs and reduced energy storage battery life costs, are negligible compared to the relatively short period of power generation fluctuations. At this point, the total cost under the priority mode of wind power generation fluctuation regulation is as follows:

[0062]

[0063]

[0064] in, The total cost under the priority mode of wind power generation power fluctuation regulation; Costs associated with energy storage charging and discharging losses; Opportunity cost for photovoltaics; The unit price of electricity purchased from the power grid; For charge and discharge efficiency; These are the associated charging frequency modulation parameters.

[0065] The total cost under the priority mode of photovoltaic power generation fluctuation regulation is as follows:

[0066] in, This represents the total cost under the priority mode of photovoltaic power generation fluctuation adjustment. This refers to the opportunity cost of wind power.

[0067] Opportunity cost of photovoltaics Specifically, this refers to the losses incurred in photovoltaic power generation costs due to fluctuations in power output caused by power generation adjustments; and the opportunity cost of photovoltaic power generation. The calculation process is as follows:

[0068]

[0069] in, This refers to the charging power; This represents the maximum power output of photovoltaic power, which is a fixed value.

[0070] Wind power opportunity cost Specifically, this refers to the wind power generation costs lost due to fluctuations in power output caused by power generation adjustments; wind power opportunity cost. The calculation process is as follows:

[0071]

[0072] in, Wind power; This represents the maximum power output that wind power can generate, and it is a fixed value.

[0073] Therefore, the total cost objective function under the priority mode of wind power generation fluctuation regulation is: (3); The total cost objective function under the priority mode of photovoltaic power generation fluctuation regulation is: (4).

[0074] It should be noted that by dynamically assigning values ​​to the undetermined parameters in equation (1) and substituting them into the total cost objective function (3) under the priority mode of wind power generation power fluctuation regulation, the primary frequency regulation power of the high-voltage cascaded energy storage system under the priority mode of wind power generation power fluctuation regulation can be obtained. Secondary frequency regulation power of high-voltage cascaded energy storage system and the output value of photovoltaic power generation system Similarly, by dynamically assigning values ​​to the undetermined parameters in equation set (2) and substituting them into the total cost objective function (4) under the priority mode of photovoltaic power generation fluctuation regulation, the primary frequency regulation power of the high-voltage cascaded energy storage system under the priority mode of photovoltaic power generation fluctuation regulation can be obtained. Secondary frequency regulation power of high-voltage cascaded energy storage system And the output value of the wind power generation system Therefore, the power adjustment values ​​for high-voltage cascaded energy storage systems, photovoltaic power generation, or wind power generation can be clearly defined; furthermore, due to the primary frequency regulation droop coefficient of high-voltage cascaded energy storage systems... Grid secondary frequency regulation AGC command power , Proportional coefficient of secondary frequency modulation PI controller and the integral coefficient of the secondary frequency modulation PI controller The baseline value is determined and can be locked by the hardware characteristics of the energy storage device and the grid technical standards; at this time, the primary frequency regulation power of the high-voltage cascaded energy storage system will be... Secondary frequency regulation power of high-voltage cascaded energy storage system and the output value of photovoltaic power generation system Or the output value of the wind power generation system Substituting the value back into equations (1) and (2), the primary frequency regulation droop coefficient of the high-voltage cascaded energy storage system can be determined. Grid secondary frequency regulation AGC command power , Proportional coefficient of secondary frequency modulation PI controller and the integral coefficient of the secondary frequency modulation PI controller The value of is then used to clarify the primary and secondary frequency modulation equations.

[0075] The control method described in Embodiment 1 predicts preset parameters of the wind power generation system and the photovoltaic power generation system to detect power fluctuations in advance. When wind power fluctuations are predicted, the high-voltage cascaded energy storage system is controlled to operate in a wind power fluctuation priority mode before the power fluctuations occur. When photovoltaic power fluctuations are predicted, the high-voltage cascaded energy storage system is controlled to operate in a photovoltaic power fluctuation priority mode before the power fluctuations occur. When power fluctuations are predicted for both wind and photovoltaic power generation, priority value calculation formulas for relevant parameters are designed, and the power grid's power fluctuation priority mode is adjusted according to the priority values ​​of wind and photovoltaic power fluctuations before the power fluctuations occur. The wind power fluctuation priority mode and the photovoltaic power fluctuation priority mode comprehensively consider the stability and economy of the power grid operation, and can adjust the power grid to a suitable power fluctuation priority mode in advance based on predictions to achieve a stable transition.

[0076] In this embodiment 1, the high-voltage cascaded energy storage system is set with a wind power generation fluctuation regulation priority mode and a photovoltaic power generation fluctuation regulation priority mode. In the wind power grid connection regulation priority mode, the high-voltage cascaded energy storage system will regulate the power generation fluctuation of wind power grid connection, and in the photovoltaic grid connection regulation priority mode, the high-voltage cascaded energy storage system will regulate the power generation fluctuation of photovoltaic grid connection. The switching between the two operating modes of the high-voltage cascaded energy storage system mainly relies on the predicted values ​​of preset parameter indicators in the wind power generation system or the photovoltaic power generation system.

[0077] In this embodiment 1, the shortest prediction period among the predicted values ​​of preset parameter indicators in the wind power generation system and the photovoltaic power generation system is used as the predetermined time interval. Within each interval, the predicted value of the preset parameter indicator is monitored to see if it exceeds a threshold. If only the predicted value of the preset parameter indicator in the wind power generation system exceeds the threshold, the high-voltage cascaded energy storage system is controlled to operate in the wind power generation power fluctuation adjustment priority mode within the corresponding interval. If only the predicted value of the preset parameter indicator in the photovoltaic power generation system exceeds the threshold, the high-voltage cascaded energy storage system is controlled to operate in the photovoltaic power generation power fluctuation adjustment priority mode within the corresponding interval. When the predicted values ​​of the preset parameter indicators in both the wind power generation system and the photovoltaic power generation system exceed the threshold range within the same interval, the priority extreme values ​​of the predicted values ​​for gusts, turbulence, wind turbine generator status, cloud cover, and sudden changes in radiance are calculated respectively. Then, based on the prediction value corresponding to the largest priority extreme value as the wind power generation power fluctuation value or the photovoltaic power generation power fluctuation value, the high-voltage cascaded energy storage system is controlled to adjust to the wind power generation power fluctuation adjustment priority mode or the photovoltaic power generation power fluctuation adjustment priority mode accordingly.

[0078] Example 2 As attached Figure 2 As shown in the figure, this embodiment 2 provides a control system for a wind-solar-high voltage cascaded energy storage grid-connected system, including a wind power generation power fluctuation prediction module, a photovoltaic power generation power fluctuation prediction module, a grid-connected system power fluctuation judgment module, a priority value calculation module, and an operation mode determination module.

[0079] The wind power generation fluctuation prediction module is used to obtain the predicted values ​​of preset parameter indicators in the wind power generation system at predetermined time intervals.

[0080] The photovoltaic power generation fluctuation prediction module is used to obtain the predicted values ​​of preset parameter indicators in the photovoltaic power generation system at predetermined time intervals.

[0081] The grid-connected system power fluctuation judgment module is used to determine whether the target grid-connected system experiences both wind power fluctuations and photovoltaic power fluctuations simultaneously, based on the predicted values ​​of preset parameter indicators in the wind power generation system and the predicted values ​​of preset parameter indicators in the photovoltaic power generation system.

[0082] The priority value calculation module is used to calculate the priority value of the predicted value of the preset parameter index in the wind power generation system and the priority value of the predicted value of the preset parameter index in the photovoltaic power generation system if the target grid-connected system experiences both wind power generation power fluctuations and photovoltaic power generation power fluctuations.

[0083] The operation mode determination module is used to determine the operation mode of the high-voltage cascaded energy storage system based on the priority values ​​of the predicted values ​​of the preset parameter indicators in the wind power generation system and the priority values ​​of the predicted values ​​of the preset parameter indicators in the photovoltaic power generation system.

[0084] Example 3 As attached Figure 3 As shown, this embodiment 3 provides an electronic device, including: a memory for storing a computer program; a processor for executing the computer program to implement the steps of the control method for a wind-solar-high voltage cascaded energy storage grid-connected system; or, the processor executing the computer program to implement the functions of each module in the control system of the above-mentioned wind-solar-high voltage cascaded energy storage grid-connected system.

[0085] For example, the computer program may be divided into one or more modules / units, which are stored in the memory and executed by the processor to complete the present invention. The one or more modules / units may be a series of computer program instruction segments capable of performing a preset function, the instruction segments describing the execution process of the computer program in the electronic device.

[0086] The electronic device may be a desktop computer, laptop, handheld computer, or cloud server, etc. The electronic device may include, but is not limited to, a processor and memory. Those skilled in the art will understand that the above are examples of electronic devices and do not constitute a limitation on the electronic device. It may include more components than described above, or combine certain components, or different components. For example, the electronic device may also include input / output devices, network access devices, buses, etc.

[0087] The processor can be a central processing unit, or other general-purpose processors, digital signal processors, application-specific integrated circuits, off-the-shelf programmable gate arrays or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor can be a microprocessor, or any conventional processor, etc. The processor is the control center of the electronic device, connecting various parts of the entire electronic device through various interfaces and lines.

[0088] The memory can be used to store the computer program and / or module. The processor implements various functions of the electronic device by running or executing the computer program and / or module stored in the memory and by calling the data stored in the memory.

[0089] The memory may primarily include a program storage area and a data storage area. The program storage area may store the operating system and at least one application program required for a given function (such as sound playback, image playback, etc.). The data storage area may store data created based on the use of the mobile phone (such as audio data, phonebook, etc.). Furthermore, the memory may include high-speed random access memory and non-volatile memory, such as hard disks, RAM, plug-in hard disks, smart memory cards, secure digital cards, flash memory cards, at least one disk storage device, flash memory device, or other volatile solid-state storage devices.

[0090] The control method for the wind-solar-high-voltage cascaded energy storage grid-connected system described in this invention allows the high-voltage cascaded energy storage system to predict power fluctuations in the wind power generation system or photovoltaic power generation system in a timely manner based on relevant predicted values. It then enters a priority mode for adjusting wind or photovoltaic power generation fluctuations based on the predicted power fluctuations. In the corresponding priority mode, power is adjusted in advance to address power fluctuations, enabling a rapid response and smooth transition when actual power fluctuations occur. A dedicated host computer is pre-set in the grid system to perform calculations specifically for primary / secondary frequency regulation models, facilitating economical adjustment of wind / photovoltaic power generation fluctuations.

[0091] The above embodiments are merely one of the implementation methods for achieving the technical solution of the present invention. The scope of protection claimed by the present invention is not limited to this embodiment, but also includes any variations, substitutions and other implementation methods that can be easily conceived by those skilled in the art within the scope of the technology disclosed in the present invention.

Claims

1. A control method for a wind-solar-high-voltage cascaded energy storage grid-connected system, characterized in that, include: According to a predetermined time interval, the predicted values ​​of preset parameter indicators in the wind power generation system are obtained; According to a predetermined time interval, obtain the predicted values ​​of preset parameter indicators in the photovoltaic power generation system; Based on the predicted values ​​of preset parameter indicators in the wind power generation system and the photovoltaic power generation system, determine whether the target grid-connected system experiences both wind power generation power fluctuations and photovoltaic power generation power fluctuations simultaneously. If so, calculate the priority value of the predicted value of the preset parameter index in the wind power generation system and the priority value of the predicted value of the preset parameter index in the photovoltaic power generation system respectively. The operating mode of the high-voltage cascaded energy storage system is determined based on the priority values ​​of the predicted values ​​of the preset parameters in the wind power generation system and the photovoltaic power generation system.

2. The control method for a wind-solar-high-voltage cascaded energy storage grid-connected system according to claim 1, characterized in that, The predicted values ​​of preset parameters in wind power generation systems include gust prediction, turbulence prediction, and wind turbine status prediction; the predicted values ​​of preset parameters in photovoltaic power generation systems include cloud cover prediction and sudden irradiance prediction.

3. The control method for a wind-solar-high-voltage cascaded energy storage grid-connected system according to claim 1, characterized in that, Based on the predicted values ​​of preset parameters in the wind power generation system and the photovoltaic power generation system, the process of determining whether the target grid-connected system experiences simultaneous fluctuations in wind power generation and photovoltaic power generation is as follows: In each time interval, the predicted values ​​of preset parameter indicators in the wind power generation system are compared with the preset wind power power fluctuation threshold, and the predicted values ​​of preset parameter indicators in the photovoltaic power generation system are compared with the preset photovoltaic power fluctuation threshold. If, within the same time interval, the predicted value of the preset parameter index in the wind power generation system is greater than the preset wind power power fluctuation threshold, and the predicted value of the preset parameter index in the photovoltaic power generation system is greater than the preset photovoltaic power fluctuation threshold, then the target grid-connected system will experience both wind power power fluctuation and photovoltaic power fluctuation simultaneously.

4. The control method for a wind-solar-high-voltage cascaded energy storage grid-connected system according to claim 1, characterized in that, The process of calculating the priority values ​​of the predicted values ​​of the preset parameter indicators in the wind power generation system and the photovoltaic power generation system, respectively, is as follows: in, Priority values ​​for the predicted values ​​of preset parameter indicators in wind power generation systems or photovoltaic power generation systems. The time decay factor for preset parameter indicators; The influence weighting coefficients of preset parameter indicators; The confidence factor for the preset parameter index.

5. The control method for a wind-solar-high-voltage cascaded energy storage grid-connected system according to claim 1, characterized in that, The process of determining the operating mode of the high-voltage cascaded energy storage system based on the priority values ​​of the predicted values ​​of the preset parameters in the wind power generation system and the photovoltaic power generation system is as follows: The priority values ​​of the predicted values ​​of the preset parameter indicators in the wind power generation system and the preset parameter indicators in the photovoltaic power generation system are sorted by size, and the predicted value of the preset parameter indicator with the highest priority value is determined. The operating mode of the high-voltage cascaded energy storage system is determined based on the predicted value of the preset parameter index with the highest priority value. Among them, the operating modes of the high-voltage cascaded energy storage system include the wind power generation power fluctuation regulation priority mode and the photovoltaic power generation power fluctuation regulation priority mode.

6. The control method for a wind-solar-high-voltage cascaded energy storage grid-connected system according to claim 5, characterized in that, The process of determining the operating mode of the high-voltage cascaded energy storage system based on the predicted value of the preset parameter index with the highest priority value is as follows: If the predicted value of the preset parameter index with the highest priority value is the predicted value of the preset parameter index in the wind power generation system, then the operation mode of the high-voltage cascaded energy storage system is adjusted to the wind power generation power fluctuation regulation priority mode. If the predicted value of the preset parameter index with the highest priority value is the predicted value of the preset parameter index in the photovoltaic power generation system, then the operation mode of the high-voltage cascaded energy storage system will be adjusted to the photovoltaic power generation fluctuation regulation priority mode.

7. The control method for a wind-solar-high-voltage cascaded energy storage grid-connected system according to claim 5, characterized in that, The priority mode for wind power generation fluctuation regulation is as follows: Considering the useful work of the photovoltaic power generation system, the high-voltage cascaded energy storage system and the power grid, under the joint operation scenario of the photovoltaic power generation system and the high-voltage cascaded energy storage system, the primary frequency regulation equation and the secondary frequency regulation equation of the target grid-connected system are solved. Combined with the total cost objective function of the grid-connected system under the priority mode of wind power generation power fluctuation regulation, the primary frequency regulation power and the secondary frequency regulation power of the high-voltage cascaded energy storage system are obtained. Based on the primary and secondary frequency regulation power of the high-voltage cascaded energy storage system, the target grid-connected system is controlled by the high-voltage cascaded energy storage system.

8. The control method for a wind-solar-high voltage cascaded energy storage grid-connected system according to claim 5, characterized in that, The priority mode for photovoltaic power generation fluctuation regulation is as follows: Considering the useful work of the wind power generation system, the high-voltage cascaded energy storage system and the power grid, under the joint operation scenario of the wind power generation system and the high-voltage cascaded energy storage system, the primary frequency regulation equation and the secondary frequency regulation equation of the target grid-connected system are solved. Combined with the total cost objective function of the grid-connected system under the priority mode of photovoltaic power generation fluctuation regulation, the primary frequency regulation power and the secondary frequency regulation power of the high-voltage cascaded energy storage system are obtained. Based on the primary and secondary frequency regulation power of the high-voltage cascaded energy storage system, the target grid-connected system is controlled by the high-voltage cascaded energy storage system.

9. A control system for a wind-solar-high-voltage cascaded energy storage grid-connected system, characterized in that, include: The wind power generation power fluctuation prediction module is used to obtain the predicted values ​​of preset parameter indicators in the wind power generation system at predetermined time intervals. The photovoltaic power generation fluctuation prediction module is used to obtain the predicted values ​​of preset parameter indicators in the photovoltaic power generation system at predetermined time intervals. The grid-connected system power fluctuation judgment module is used to determine whether the target grid-connected system experiences both wind power fluctuations and photovoltaic power fluctuations based on the predicted values ​​of preset parameter indicators in the wind power generation system and the predicted values ​​of preset parameter indicators in the photovoltaic power generation system. The priority value calculation module is used to calculate the priority value of the predicted value of the preset parameter index in the wind power generation system and the priority value of the predicted value of the preset parameter index in the photovoltaic power generation system respectively if the target grid-connected system experiences both wind power generation power fluctuations and photovoltaic power generation power fluctuations. The operation mode determination module is used to determine the operation mode of the high-voltage cascaded energy storage system based on the priority values ​​of the predicted values ​​of the preset parameter indicators in the wind power generation system and the priority values ​​of the predicted values ​​of the preset parameter indicators in the photovoltaic power generation system.

10. An electronic device, characterized in that, include: A processor is used to execute computer programs; A computer-readable storage medium storing a computer program, which, when executed by the processor, performs the control method for a wind-solar-high-voltage cascaded energy storage grid-connected system as described in any one of claims 1-8.

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