Optimal Fuzzy-PID Controller Design by Grey Wolf Optimization for Renewable Energy-Hybrid Power System

The research work presented here shows the fuzzy-PID control scheme for operation of a hybrid power system. The multiple technologies have been combined together to produce power in a hybrid electric power system. The model considered in present work contains different types of renewable energy components to create a hybrid power system. The solar photovoltaic cells and wind turbine are used to produce hybrid power. Thus, produced power has been stored in various energy storage devices. Various components such as ultracapacitor, battery, flywheel systems, etc. are used to store the produced energy. To maintain a constant power flow, grid frequency deviation is need to be minimized. This paper investigates the performance of various control controllers: PID and fuzzy-PID to maintain constant power flow to the load. The constraints of various controllers are tuned with grey wolf optimization (GWO) technique. It has been found that GWO tuned fuzzy-PID controller outperforms the other controllers which minimizes the frequency deviation to provide constant power flow.