Application of particle swarm optimization and its variants to Interline Power Flow Controllers and optimal power flow

In this paper, three types of particle swarm optimization techniques, namely basic particle swarm optimization, inertia weight approach particle swarm optimization and constriction factor approach particle swarm optimization are applied to optimal power flow control of an electrical power system incorporating Interline Power Flow Controller. Based on the steady state model, the sizing of the controller in the network is formulated as an optimization problem to minimize the transmission line loss. The power flow control constraints of the controller are included in optimal power flow problem in addition to the normal conventional constraints. The simulation results on standard IEEE 14-bus system minimizing the transmission line losses show the effectiveness of the variants of particle swarm optimization. The optimal control parameters of interline power flow controller are compared.