The transmission losses are more dependent upon the voltages at various load conditions. The motive of research published in this paper is to propose a methodology to solve Optimal reactive power dispatch problem using two phase hybrid combination of Genetic algorithm and Particle Swarm Optimization algorithms. Optimal reactive power dispatch tackles network loss reduction, increased power transfer capability along with the voltage control at various buses by satisfying limitations on the dependent and independent control variables. Among all Flexible AC Transmission Systems Devices, unified power flow controller abbreviated as UPFC has been chosen for the analysis to control the power system because it was found to be the most efficient in empowering transmission network using reactive power injection. Therefore, most desirable placement and competency of UPFC has been worked out in the proposed research. Two-voltage source model of UPFC has been utilized for the analysis purpose. The UPFC control parameters are chosen to be the additional control parameters for the optimal reactive power dispatch calculations. The results are obtained by applying GA and PSO separately and finally, using the combination of Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). The simulation is carried out on standard IEEE-30 bus test system using MATLAB. The results obtained using GA, PSO and HGAPSO were compared, and it was found that HGAPSO results prove to be operative for the proposed optimal reactive power dispatch algorithm.
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