TY - JFULL AU - A. B.Bhattacharyya and B. S.K.Goswami PY - 2011/4/ TI - OPTIMAL Placement of FACTS Devices by Genetic Algorithm for the Increased Load Ability of a Power System T2 - International Journal of Electrical and Computer Engineering SP - 234 EP - 240 VL - 5 SN - 1307-6892 UR - https://publications.waset.org/pdf/7434 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 51, 2011 N2 - This paper presents Genetic Algorithm (GA) based approach for the allocation of FACTS (Flexible AC Transmission System) devices for the improvement of Power transfer capacity in an interconnected Power System. The GA 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. Genetic Algorithm is then applied to find the amount of magnitudes of the FACTS devices. This approach of GA based placement of FACTS devices is tremendous beneficial both in terms of performance and economy is clearly observed from the result obtained. ER -