Wind power predictions In the middle, long -term, short -term, and ultra -short -term wind power prediction technology, the uncertainty of wind power is converted into uncertainty of wind power prediction errors. Improve the accuracy of wind power prediction can reduce the impact of wind power uncertainty, and support the safe operation and economic scheduling after the large -scale wind power network. Wind power prediction accuracy is closely related to the accumulation of numerical weather forecast and historical data, especially the accumulation of extreme climate data. In addition to improving the integrity and effectiveness of basic data, it is also necessary to adopt a combination prediction model with adaptive ability to integrate various advanced data mining techniques, such as statistical cluster analysis methods and intelligent algorithms. Law to reduce prediction errors. Comprehensive control of wind farms to improve the controllability and adjustability of the wind farm can help reduce the impact of wind power uncertainty, and the improvement of the reliability and economy of wind farms (groups) also depends on sensor technology, communication technology, new models, new types, and new types. The advancement of wind turbines, network optimization and scheduling control technology. In the same wind field, you can follow the wind power model, arrangement position and wind conditions. The same control strategy is adopted in the group; coordinated and contributed control between machine groups to achieve smooth control of the total output power; using energy storage and variables technology to regulate and control the power fluctuations. The non -effort of the wind farm is greatly influenced by its contribution, and the control of the two needs to be coordinated. For example, by dynamically adjust the amplitude and phase of the rotor magnetic chain to coordinate the voltage and output power of the machine, or equipped with a bipolar storage device with a joint control capacity. Random factors such as failure line impedance, asymmetric load, and wind speed disturbance of fault crossing technology will cause voltage/current imbalance, and short -circuit faults may cause the voltage of wind farms to be unstable. In order to make the wind farm has fault crossing ability, in addition to using pitch control and non -contribution compensation, VSWT can also be controlled by inverter, or the topological structure of the network -side transformer. In order to support the controllable operation of VSWT when the fault voltage falls to 0.15pu, the ActiveCrowbar circuit or energy storage hardware needs to be added. The effect of Crowbar is closely related to the degree of drop voltage falls, the size of the barrier resistance, and the exit time. The ability to migrate power and energy for large -capacity energy storage technology for power and energy is an important means to respond to wind power uncertainty and get widespread attention. At present, the energy storage methods that can be economically provided at the same time are still only pumping for energy storage means. Secondly, battery energy storage and compressed air storage, while the application of energy storage technology such as flywheels, superconductors and supercapacitors is limited to participating in frequency regulation and improvement system stability. The power control mode of the energy storage system is divided into two types: power tracking and non -power tracking. The application of energy storage devices to solve the basic idea of large -scale wind power grid -connected problems, and looks forward to the problems and prospects of large -scale application of energy storage technology. The coordination of wind farms and energy storage systems was considered in the transmission system planning. The probability of loss of load is used to measure the risk of wind power uncertainty to the increase of the system, and discusses the reduction of the operating risk of the battery energy storage system.
Post time: Jun-29-2023
