Enhancement of Power System Loadability with FACTS Devices

Abstract

This paper discusses the use of genetic algorithm (GA) and particle swarm optimization (PSO) based approach for the allocation and coordinated operation of multiple flexible ac transmission system (FACTS) devices for the economic operation as well as to increase power transfer capacity of an interconnected power system under different loading condition. The GA and PSO based approach is applied on IEEE 30-bus system. The system is reactively loaded starting from base to 200 % of base load. FACTS devices are installed in the different locations of the power system and system performance is noticed with and without FACTS devices. First, the locations, where the FACTS devices to be placed is determined by calculating active and reactive power flows in the lines. GA and PSO based algorithm is then applied to find the amount of magnitudes of the FACTS devices. Finally comparison between these two techniques for the placement of FACTS devices is presented and superiority of GA approach is established.