Optimal location of FACTS devices in power system using Genetic Algorithm

This paper presents a novel method for optimal location of FACTS devices in a multi machine power system using Genetic Algorithm(GA). Using the proposed method, the location of FACTS controllers, their type and rated values are optimized simultaneously. Among the various FACTS controllers, Static Var controller (SVC), Thyristor Controlled Series Compensator (TCSC) and Unified power Flow Controller (UPFC) are considered. The proposed algorithm is an effective method for finding the optimal choice and location of FACTS controllers and also in minimizing the overall system cost, which comprises of generation cost and investment cost of FACTS controller using GA and conventional Newton- Raphson's power flow method. A MATLAB coding is developed for the simulation. Different operating conditions of the power system are considered. The proposed algorithm has been applied to IEEE 30 bus system.