Optimal rotor blade control using Grey Wolf Optimizer for small signal stability of SCIG Wind Turbine

Abstract

Abstract The pitch control of Wind Turbine needs to be tuned for optimal pitch control performance. In this paper, the Grey Wolf Optimizer (GWO) is proposed to tune the PI controller in the pitch control of the Squirrel Cage Induction Generator (SCIG) Wind Turbine. The goal is to show that the slow convergence of the Particle Swarm Optimization (PSO), and the trapping into a local optimum of Genetic Algorithm (GA) tuning methods can be overcome by applying the GWO tuning method. The GWO, PSO and GA were applied online to tune the PI controller in pitch control. The tuning results were executed in the PI controller of pitch control of simulated SCIG Wind Turbine connected to a double circuit distribution line. Equally, the Ziegler Nichols (ZN) tuned PI controller was executed in the rotor blade control of the same Wind Turbine. From the simulation results, the GWO tuned PI controller executed in the pitch control of the Wind Turbine provided the least overshoot and the settling time in the aerodynamic power and torque compared to the PSO, GA and ZN tuned PI controllers. The significance of the proposed GWO tuning method for PI controller in the rotor blade control of the SCIG Wind Turbine, it can reduce the stress on the pitch actuator of the Wind Turbine. This is because it reduced overshoot and settling time in the trajectories of blade pitch demand of the Wind Turbine compared to PSO, GA and ZN tuning methods.