Coordination Control Based on Virtual Inertial Time Constant and Fuzzy Logic control for Power System with Wind Farm

Due to the non-linear operating characteristics of wind turbines generation (WTG), traditional control methods cannot give full play to their ability to response the system frequency, resulting in poorer frequency characteristics of the system after wind power is connected to the grid. Therefore, this paper proposes a coordinated control method for wind farms. At the wind farm level, a method for grouping control of wind turbines under different wind speeds is proposed. Different WTGs use different load reduction coefficients, which improves the stability of wind turbines and avoids the second drop in frequency. At the level of WTGs, the equivalent inertial time constant of the wind turbine is calculated, which provides a theoretical basis for the control method. A controller based on adaptive fuzzy control is designed, which dynamically changes the control coefficient in different stages of frequency response, improves the active output of wind turbines participating in the inertial frequency modulation stage, and reduces the static error of primary frequency modulation. The simulation model of the proposed control strategy was applied to simulate different frequency fluctuations. The results show that the frequency response of the WTG after grid connection is significantly improved, proving the effectiveness and robustness of the proposed method.