Load Frequency Control of Hybrid Power System Using Intelligent Controllers

In this paper the model of hybrid power system is developed. It comprises two thermal power generation system with Photovoltaic generation system (PV), wind turbine, fuel cell, aqua electrolyzer and battery storage system. To maintain the preferred frequency and power exchange with the neighboring system in the hybrid power system is the objective of Automatic Generation Control (AGC). The deviation in the frequency from the desired value is due to the change in the load and any mismatch. This requires a quick and precise controller to keep the frequency at desired value. This paper deals with the Artificial Intelligence technique called Fuzzy PI and NeuroFuzzy approach. The advantage of Neuro-fuzzy approach is that it can deal with non-linearities in the meantime and it is quicker than other conventional controllers. The output of intelligent controller is having better response and it is faster than other controllers.