Fuzzy PID AGC of Multi-Area Power System Optimized by Hybrid DEPSO Algorithm with FACTs

Abstract

This Study Proposes The Agc Of Three Area Power System Having Multi Sources Like Thermal Plant, Hydro Plant And Gas-Turbine Generating Units. A Fuzzy Proportional Integral Derivative Controller (Fpid) Is Proposed Here For Both Ac And Ac-Dc Parallel Tie Line. Differential Evolution Particle Swarm Optimization (Depso) Algorithm Is Considered Here To Optimize Scaling Factors. Facts Are Designed To Enhance The Power Flow Transmission Capability And Also Improve The Dynamic Response Characteristics. The Facts Devices Tcps And Smes Are Used In This Paper. The Proposed Hybrid Depso Optimized Fpid With Facts Is Depicted By Comparing Their Simulation Results. The Comparison Is Basically Done On The Basis Of Undershoot, Overshoot And Settling Time. From The Simulation Results It Reveals That The Presence Of Smes Improves The Dynamic Response Than Tcps. Finally A Combined Effect Of Tcps-Smes Gives A Better Dynamic Response Than The Other Optimized Controlled Values.