@inproceedings{scholars894, year = {2010}, doi = {10.1109/ICIAS.2010.5716128}, note = {cited By 8; Conference of 2010 International Conference on Intelligent and Advanced Systems, ICIAS 2010 ; Conference Date: 15 June 2010 Through 17 June 2010; Conference Code:84196}, journal = {2010 International Conference on Intelligent and Advanced Systems, ICIAS 2010}, title = {Application of particle swarm optimization and its variants to Interline Power Flow Controllers and optimal power flow}, address = {Kuala Lumpur}, keywords = {Bus systems; Constriction factor approaches; Electrical power system; Inertia weight; Interline power flow controllers; Optimal controls; Optimal power flow (OPF); Optimal power flow problem; Optimal power flows; Optimization problems; Particle swarm optimization technique; Power flow controls; Simulation result; Steady-state models; Transmission line loss; Transmission line loss (TLL), Acoustic generators; Controllers; Electric control equipment; Electric lines; Electric load flow; Flow control; Transmission line theory, Particle swarm optimization (PSO)}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-79952775037&doi=10.1109\%2fICIAS.2010.5716128&partnerID=40&md5=ff5d95a3e8ef0d07cef9ba28cfa6e9e3}, abstract = {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.}, author = {Mohamed, K. H. and Rama Rao, K. S. and Md. Hasan, K. N. B.}, isbn = {9781424466238} }