Optimum Dynamic Performance of Wind Power System Using Multi-Objective Grey Wolf Optimizer

Abstract

A modified strategy by multi-objective grey wolf optimizer is implemented for improving the dynamic performance of a wind power system. The proposed wind power system includes a permanent magnet synchronous generator mechanically coupled with a wind turbine to inject active power to grid via power electronic converters. The controller parameters of the generator side and grid side are optimally tuned to stabilize wind generation under the variations of wind speeds and load. The performance index (to be minimized) is the integral time square error of the PI regulators. Simulation results reveal that PI based grey wolf optimizer is faster and more efficient compared with the traditional PI regulator.