@inproceedings{scholars986,
            year = {2010},
             doi = {10.1109/PECON.2010.5697600},
            note = {cited By 11; Conference of 2010 IEEE International Conference on Power and Energy, PECon2010 ; Conference Date: 29 November 2010 Through 1 December 2010; Conference Code:83860},
           pages = {300--305},
         journal = {PECon2010 - 2010 IEEE International Conference on Power and Energy},
           title = {Intelligent optimization techniques for optimal power flow using interline power flow controller},
         address = {Kuala Lumpur},
        abstract = {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. {\^A}{\copyright}2010 IEEE.},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-79951806710&doi=10.1109\%2fPECON.2010.5697600&partnerID=40&md5=7dcc705a3c9c79abcdf848c923f1787b},
        keywords = {Bench marks; Control parameters; Intelligent optimization technique; Interline power flow controllers; Modified Newton-Raphson method; Modified Newton-Rapson method; Optimal controls; Optimal parameter; Optimal power flows; Optimization techniques; Power systems; Simulation result; Transmission line loss; Voltage profile; Voltage source converters, Acoustic generators; Controllers; Electric control equipment; Electric lines; Electric load flow; Electric power transmission; Flow control; Genetic algorithms; Newton-Raphson method; Particle swarm optimization (PSO); Transmission line theory, Simulated annealing},
            isbn = {9781424489466},
          author = {Mohamed, K. H. and Rao, K. S. R.}
}