Modernized power systems abide of substantial and highly complicated interlinked transmission systems, hence transmission expansion planning (TEP) in the present scenario is a momentous optimization problem in power system. The description of TEP problem is vast and nonlinear which is of a mixed integer nature where transmission lines for evaluation entitled as candidate inflates in an exponential manner with the size of the system. The authentic interpretation of TEP problem is imperative in sequence to project power systems economically and in adequate manner. Existing numerical techniques have computational weakness for optimization problems which impelled analyst to repose their trust towards intelligence techniques. Genetic algorithms (GAs) and Particle swarm optimization (PSO) algorithms procure vigorous and methodical techniques for solution to problematical problems in the physical world. In this paper, hybridization of GAs and PSO algorithms (HGAPSO) has been oppressed to obtain the optimal cost as well as expansion plan of formulated TEP problem. To inspect its performance, suggested algorithm has been tested on three test cases and its comparison with GA and PSO for similar three test cases has been made. Numerical results are shown to justify the proposed approach.
Volume 11 | 06-Special Issue
Pages: 900-909