Design of Fuzzy Logic-Based Dynamic Droop Controller of Wind Turbine System for Primary Frequency Support

In this paper, a dynamic droop is designed for the local controllers of the wind turbines to achieve primary frequency regulation of a wind farm. The goal of the approach is to select an appropriate droop rate that depends on measurements of the individual wind turbines such as available power and amount of reserve. Also, the controller considers the rate of change of frequency (ROCOF) at the point of common coupling. A fuzzy-based dynamic droop controller is proposed to provide primary frequency support for the wind turbine system. The rate of the droop is determined by the fuzzy sets using the difference in grid's frequency and the reserve power of the wind system. The performance of several static droop curves is analyzed for different scenarios using a detailed model of wind turbines connected to a small power system. Then, the proposed dynamic controller is implemented, and its performance is evaluated and compared with the static droop approach. The model and the controllers are tested using Matlab\Simulink.