Genetic Algorithm Approach for Optimal location of FACTS devices to improve system loadability and minimization of losses
Jigar S.Sarda, Vibha N.Parmar, Dhaval G.Patel and Lalit K.Patel
Department of Electrical Engineering, C.S.P.I.T, Charusat University, Gujarat, India.
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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 increasing loadability of the line and minimize losses using GA and conventional fast-decoupled 's power flow method. A MATLAB coding is developed for the simulation. Different loading conditions of the power system are considered. The proposed algorithm has been applied to IEEE-30 bus system.