Wind Farm Frequency Support Strategy Considering Adjustable Capacity

With the decreasing proportion of synchronous generators, the inertia and frequency control ability of high-proportion renewable energy power system have been significantly reduced, requiring the renewable generation to provide enough active power support during grid emergency. In this work, we propose a novel wind farm frequency support strategy to take full advantage of the adjustable capacity of the primary wind energy. Firstly, the nonlinear state space model of the wind turbine is linearized based on the Koopman Operator. Then the model predictive control algorithm is used to optimize the frequency regulation strategy considering wind speed. Finally, the method is verified in the single wind farm and multi-wind farm model. The method not only realizes the active frequency support of the wind farm, but also makes full use of the influence of the wind power on the adjustable capacity of the wind turbines.