Whales Optimization Algorithm Based Enhanced Power Controller for an Autonomous Microgrid System

This This paper proposes a study of optimal power controller based on Whales Optimization Algorithm (WOA) for PI controller tuning in an autonomous microgrid system (MGS). The MGS is based on multiple distributed generation (DG) connected with 120 kV power grid. The proposed controller with four different configurations i.e. controller without optimization, PSO, GWO, and WOA tuned controller will be validated to control and enhance the flow of active and reactive power between MGS and power grid grid-connected mode and during load variation. The simulation results show that MGS is supplying optimal power to utility grid also maintaining sinusoidal voltage and current supply with minimum THD levels. Further, results show that the WOA based controller optimizes the control parameters achieves the 38.46% and 75% better results in terms of active and reactive regulation and sharing, respectively. For modelling of proposed system and applying of optimization techniques, Matlab/Simulink and m/file have been used respectively. The proposed controller performs intelligently while sharing the load power between MGS and utility system.