DEREGULATED POWER SYSTEM BASED STUDY OF AGC USING PID AND FUZZY LOGIC CONTROLLER

In this paper automatic generation control for deregulated power systems equipped different controllers are studied using PID and fuzzy logic controller. Initially a two-area reheat thermal power system is considered and the controller parameters are optimized TLBO algorithm. Three different controllers namely conventional PID, cascade PD-PI & fuzzy-PI controllers are used to analyze the transient performance of the power system. It is verified that fuzzy-PI controller yields its dominance over the other two. Integral time absolute error (ITAE) is used as objective function to optimize the controller gains. Further the sensitivity analysis is carried out varying the load conditions and step load perturbations. In both the power system model Fuzzy-PID controller proves to be performing better in terms of undershoot, overshoot & settling time which is further extended to a non-linear three-area thermal power system model by considering the effect of generation rate constraints. This novel controller is proved to be ensuring better dynamic performance compared to the others.