1EEE Dept. St. Ann's College of Engineering & Technology, Chirala-523 187, A.P. India.
2EEE Dept., J.N.T.U College of Engineering, Hyderabad-500 072, A.P., India.
3EEE Dept., Bapatla Engineering College, Bapatla-522 101 Guntur (Dist), A.P., India.
This paper deals with the optimal choice and allocation of FACTS devices in multi-machine power systems using genetic algorithm by considering investment costs and maintenance costs of FACTS, cost of real power loss, cost of voltage violations. Using the proposed method, the locations of the FACTS devices, their types and ratings are optimized simultaneously. Two types of FACTS devices are simulated in this study: TCSC and SVC. Simulation results validate the capability of this new approach in minimizing the overall system cost. The proposed algorithm is an effective and practical method for the choice and allocation of suitable FACTS devices in deregulated electricity market environment.
Allocation, choice, Cost function, FACTS, Genetic algorithms, Investment, Optimal power flow, cost of real power loss, cost of voltage violations, voltage stability
