Secondary load frequency control of an islanded microgrid by SSA optimized hybrid PID-LQG controller

This study proposes a salp swarm algorithm (SSA) tuned hybrid PID-LQG controller for load frequency control of an isolated microgrid. In the beginning, micro-grid considered here is a cluster of renewable energy sources such as photovoltaic (PV), wind turbine generator (WTG) and battery storage system which diverges from their optimal operating point due to change in its environment. The optimal value of the suggested PID-LQG controller is determined by the SSA method. The supremacy of the proposed controller is tested over the PI and PID controller. The results of SSA tuned hybrid PID-LQG are compared to the genetic algorithm (GA) and particle swarm optimization algorithm (PSO). It is noticed that of SSA tuned hybrid PID-LQG controller is more effective compared to some recently proposed approaches.