Optimum Cost of Generation and Active Power Loss Minimization using GA and PSO Techniques in a Power System Network
نویسندگان
چکیده
This paper utilizes the application of Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) techniques to find the most appropriate locations of Unified Power Flow Controller (UPFC) with optimum cost of generation for loadability limit and minimum active power loss, while satisfying the power system constraints. Two objective functions are taken as the indexes of the system performance: (i) identification of suitable buses using line loss sensitivity index and optimum cost of generation and (ii) minimization of active power losses by employing PSO and GA techniques separately. The presented methodology has been applied and tested under simulated condition on modified IEEE 14-bus system. The implementations of PSO show that it converges to better solution much faster than GA. The results obtained are quite encouraging and will be useful in electrical power system network. Keywords–Flexible AC Transmission Systems (FACTS), loss sensitivity index, optimal power flow, GA, PSO, UPFC
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