Design and implementation of optimal controller for DFIG-WT using autonomous groups particle swarm optimization

<span>There are many types of generators used within wind energy such as doubly fed induction generator (DFIG). Particle swarm optimization (PSO) algorithm is simple, robust and easy to implement. In addition the privilege PSO, autonomous groups particle (AGPSO) has advantages using diverse which result in more randomized directed search. Applying AGPSO tune PI controller control DFIG proposed this paper. An implemented laboratory prototype consists brushless DC motor (BLDC) for simulating various speeds. Wound rotor machine, working DFIG. This system a stand-alone system. System identification strategy was introduced work. study, suggested tuning controller. Different case studies performed, step changes both speed electrical load showing effectiveness algorithm. For comparison PSO Results from experiments clarify feasibility methodology. It approved that achieves prevalent execution (quicker transient response modest steady state error (ess)) contrasted with when applied be off-grid systems. </span>