Application of Partical Swarm Optimization Algorithm On Nonlinear PI Controllers for Stable Operation of DFIG Based Wind Turbine

This paper presents an optimally tuned Nonlinear Proportional Integral (NPI) controllers design for the inner and outer loops of the control algorithm for Wind Energy Conversion System (WECS) based Doubly Fed Induction Generator (DFIG). There are many WECS control techniques like direct torque control and direct active and reactive power control which is used in this paper using NPI control, of the rotor side converter, where the actuating signal equals to the summation of proportional and integral of nonlinear functions of the error signal. A Particle Swarm Optimization (PSO) algorithm is employed to get the optimal integral and proportional gains under presence of the perturbation and during transition during wind speed change. However, Integral Square Error (ISE) and Integral Time Square Error (ITSE) performance indices, are considered to solve the nonlinear and non-differential problem due the uncertainty of the generated power from the Wind Turbine (WT). To validate the proposed approach, Matlab Simulink environment is used.