Σ-multi-objective evolutionary particle swarm optimization approach for transmission loss and cost minimization with SVC installation

Abstract

This paper presents sigma-multi-objective evolutionary particle swarm optimization (σ-MOEPSO) technique for optimal placement of Flexible AC Transmission Systems (FACTS) devices. The proposed MOEPSO technique has been implemented to minimize the transmission loss in the system and minimize the cost of investment FACTS device. Experiment has been implemented on IEEE 30-Bus RTS and IEEE 118- Bus RTS. On the other hand, for the comparison the proposed technique was compared with Multi-Objective Particle Swarm Optimization (MOPSO) and Multi-objective Evolutionary Programming (MOEP). The effects of optimization performance at several loading conditions are also investigating using three optimization techniques.

Keywords: Multi-Objective Optimization; Particle Swarm Optimization; Static Var Compensators; Power System Stability; Flexible AC Transmission Systems