Particle swarm optimization algorithm to find the location of facts controllers for a transmission line

Abstract

The main purpose of this paper is to find the optimal location of FACTS controllers in a multi machine power system using enhanced genetic algorithm (EGA) and particle swarm optimization (PSO). Using the proposed method, the location of FACTS controller, their type and rated values are optimized simultaneously. Among the various FACTS controllers, Thyristor Controlled Series Compensator (TCSC) and Unified Power Flow Controller (UPFC) are considered. The proposed algorithms are an effective method for finding the optimal choice and location of FACTS controller and also minimizing the overall system cost, which comprises of generation cost and the investment cost of the FACTS controller using PSO and conventional Newton Raphson's power flow method. A MATLAB coding is developed for Enhanced Genetic Algorithm. In order to verify the effectiveness of the proposed method, IEEE 14- bus system is used. The result obtained in both the algorithm's are compared. © 2012 Springer-Verlag GmbH Berlin Heidelberg.