Design and Performance Analysis of Genetic based PID-PSS with SVC in a Multi-machine System Considering Detailed Model

Damping of power system oscillations with the help of proposed optimal Proportional Integral Derivative Power System Stabilizer (PID-PSS) and Static Var Compensator (SVC)-based controllers are thoroughly investigated in this paper. This study presents robust tuning of PID-PSS and SVC-based controllers using Genetic Algorithms (GA) in multi machine power systems by considering detailed model of the generators (model 1.1). The effectiveness of FACTSbased controllers in general and SVC-based controller in particular depends upon their proper location. Modal controllability and observability are used to locate SVC–based controller. The performance of the proposed controllers is compared with conventional lead-lag power system stabilizer (CPSS) and demonstrated on 10 machines, 39 bus New England test system. Simulation studies show that the proposed genetic based PID-PSS with SVC based controller provides better performance.