Optimal Location and Setting of Facts Devices Using Non-dominated Sorting Particle Swarm Optimization in Fuzzy Framework

FACTS devices allocation and assessing its optimal capacity is one of most discussed subject in scheduling and utilization of the power system. According to value of the matter such as power loss reduction, enhance of the stability margin and also, less cost imposition need to create a partial balance between these several goals, FACTS allocation problem established as a multiobjective optimization problem. It postulates that the achievement of those registered goals simultaneously, implicates the use of the multiobjective optimization methods and finally, reaches the Pareto optimal sets. A hybrid approach based on non-dominated sorting particle swarm optimization (NSPSO) algorithm and Fuzzy logic is presented in this paper that is able to present the Pareto optimal sets in the meantime to attend the technical and economic aspects. In this paper, the efficiency of this approach’s performance in test IEEE 14-bus and 30-bus systems is analyzed.