Bat optimization algorithm for optimal design of controller’s parameters of permanent magnet synchronous generator based wind farm

The control techniques play a major role in the systems used to produce electricity from wind source. One of the important functions of the control systems is to determine the active and reactive powers supplied by the wind turbine to the grid. Conversely, the performance of the Wind energy conversion system (WECS) is affected by the varying grid condition. This paper presents a new application of bat optimization algorithm (BOA) to optimally design the proportional plus integral (PI) controllers of the interface converters of permeant magnet synchronous generator (PMSG) – based wind turbine. The PMSG based on wind turbine is connected to the grid via a generator side converter, a DC link capacitor, and a grid side inverter. The response surface methodology (RSM) is implemented to model the voltage specification like undershoot, overshoot, steady state error and settling time. Multiple runs are performed on PSCAD program to create the RSM model. The BOA is applied to the RSM model to minimize the objective function. The simulation results are carried out using PSCAD program. The BOA results are compared with that obtained by using the grey wolf optimization (GWO) results.