Two Stage Optimized Fuzzy Controlled Multi-Area System for AGC in Smart Grid Age

Abstract

A model of two area deregulated power system with automatic generation control (AGC) is developed. Two conventional control strategies, integral controller optimized by Genetic Algorithm (GA) and Proportional derivative integral (PID) controller tuned with Ziegler-Nichols (ZN), have been compared with proposed two step GA optimized fuzzy logic controller (FLC). In proposed controller, first step optimization is carried out for range optimization with uniform scaling of membership functions of input and output variables and in second step, scaling and gain parameters of FLC are optimized. The proposed control scheme shows the better dynamic response following a step load change with combination of PoolCo and bilateral contracts in deregulated environment.