Optimal position and setting of svc using heuristic optimization techniques

During the last decade, there has been an increasing application of Flexible AC transmission system (FACTS) devices in power system due to its numerous advantages. However, to derive maximum benefits their location and rating should be optimal. This paper presents two heuristic optimization techniques, namely Particle Swarm Optimization (PSO) and Teaching Learning Based Optimization (TLBO), to ascertain to optimal location and value of static VAR compensator (SVC) in a power system. In the present study installation cost of SVC and transmission loss minimization are considered as the objective functions. The optimal location and the size of SVC are performed on the different loading condition using PSO and TLBO along with load flow. To show the applicability and validity of the algorithms, IEEE 14 bus power system is used. The simulation results of PSO and TLBO have been compared and presented in the present study.