Parameter Identification of DFIG Converter Control System Based on WOA

The converter is an important component of a wind turbine, and its control system has significant impact on the dynamic output characteristics turbine. For double-fed induction generator (DFIG) converter, parameter identification method proposed. In this paper, detailed model DFIG with built, trajectory sensitivity used to study observation points that are sensitive change parameters as quantity for identification; Whale Optimization Algorithm (WOA) dominate in full-process simulation. To validate proposed method, four classical test functions verify effectiveness algorithm, identified by setting three-phase grounded short-circuit fault under maximum power point tracking (MPPT), results compared particle swarm optimization (PSO) chaotic (CPSO) show superiority method. final WOA can identify faster more accurately.