Electromagnetic Torque Ripple Attenuation of WECS using an Improved On–Off Control based on PSO

The aim of this paper is to present an improved On-Off control of wind energy conversion system (WECS) based on Squirrel cage induction generator (SCIG) using Particle swarm optimization algorithm (PSO). The benefit of such command is its robustness vis-a-vis the disturbances and uncertainties of the model. The appearance of the chattering phenomenon caused by the discontinuous part of the control which can have a harmful effect on the wind turbine life. To resolve this problem an improved On-Off controller has been proposed. So, the goal of this work is to reduce the electromagnetic torque ripple using an improved On-Off controller tuned by PSO. The performances of the proposed controller are tested with a wind profile obtained using the Von Karman spectrum in the International Electrotechnical Commission (IEC) standard. The results obtained by the proposed controller are analyzed and compared with those attained by the improved On-Off controller.