Optimal location of FACTS devices in a power system solved by a hybrid approach

In this paper, a non-traditional optimization technique, a Micro-Genetic Algorithm (MGA) is conjunction with Fuzzy Logic (FL), is used to optimize the various process parameters involved in the introduction of FACTS devices in a power system. The various parameters taken into consideration were the location of the devices, their type, and their rated value. The simulation was performed on a 30-bus power system with various types of FACTS controllers, modeled for steady state studies. The optimization results are compared to the solution given by another search method. This comparison confirms the efficiency of the proposed method, which makes it promising for solving combinatorial problems of FACTS device location in a power system network.