Performance Stability Study of a Hybrid Power System Under Levy Flight CSA Based Fuzzy Controller

This research paper addresses a robust fuzzy PID controller for stabilizing frequency of a hybrid power system under various functional conditions. The proposed fuzzy PID controller is structured by employing a new levy flight based cuckoo search algorithm (L-CSA). Since hybrid system is structured with integration of conventional thermal and hydro power plant along with different different renewable energy sources like fuel cell, wind generator, solar photo voltaic (PV) cells etc. It has been verified that most of renewable energy based power sources possess large dynamics and low inertia. The unpredictable large dynamics of wind generator and PV cell creates instability issues in the hybrid power system. On other hand these inertia less generating units are unable to capture sudden load change hence a serious frequency instability occurs in the hybrid system. In order to pertain stability over system frequency and tie-line power a high control action is required under various disturbances. So this article has proposed a novel L-CSA designed fuzzy PID controller for frequency control of the hybrid power system under different uncertainties.