The Whale Optimization Algorithm based controller for PMSG wind energy generation system

The direct drive permanent magnet synchronous generator (PMSG) have many advantages consequently, it ends up a standout amongst the most appealing variable speed wind generation types. This paper proposes a novel application of a Whale Optimization Algorithm (WOA) aims at finding the optimal parameters of the conventional Proportional-Integral (PI) controllers for the permanent magnet synchronous generator based wind energy conversion system (WECS). The Whale Optimization Algorithm (WOA) is applied to the classical PI-controller on machine side converter system to find the optimal gains of the PMSG, to such an extent that a maximum power point tracking (MPPT) under normal condition, a step change of wind speed and the optimal dynamic performance of PMSG under grid fault can be easily achieved. Three case studies in this paper, dynamic responses of the system under normal operation, a step change of wind and a three-phase symmetrical fault with using crowbar protection and without crowbar protection. The optimal values that result from the WOA algorithm are compared with the simplex method.