Intelligent optimization techniques for optimal power flow using Interline Power Flow Controller

In this paper the control parameters of voltage source converters used in Interline Power Flow Controller (IPFC) are designed to realize optimal power flow in a power system with modified Newton-Raphson method. The optimal control parameters are derived to minimize the transmission line losses employing three intelligent optimization techniques, namely Particle Swarm Optimization (PSO), Genetic Algorithm and Simulated Annealing. The selected techniques are employed on IEEE 30-bus bench mark power system and the optimal parameters of IPFC, the voltage profile and the transmission line losses of power system are derived from the simulations. The simulation results validate the efficacy of the three optimization techniques and PSO technique is proved to be more efficient compared to the other two techniques.