Optimal DFIG-Based Wind Turbine Speed and Reactive Power Control Using Particle Swarm Optimization Algorithm

As the demand for alternative energy sources grows, wind energy systems are developing at a rapid pace. In this research paper, optimally tuned PI controllers are used for controlling a wind turbine based on of a Doubly Fed Induction Generator (DFIG). The Particle Swarm Optimization (PSO) algorithm for PI controller parameters tuning, with the objective of ensuring better energy quality and system performance. The speed Integral Square Error is used as a fitness function of the PSO. The performance evaluation of controllers with PSO implementation is carried out by the simulation through MATLAB /Simulink under linear and non-linear load conditions. The PI and PI-PSO implementation results comparison proves the superiority of the PI-PSO controller.