Economic Load Dispatch Using PSO And TLBO

Abstract

This paper presents the application of Bio-inspired algorithms like Particle Swarm Optimization (PSO) and Teaching-learning Based Optimization (TLBO) for solution of economic load dispatch (ELD) problem. The algorithms are used to find the optimum solution with lowest fuel cost for four different network consisting of three, six, fifteen, and twenty generating units respectively for different load demand. Results obtained using PSO and TLBO are compared with the results obtained using lambda iteration method. The study has been done neglecting line losses as well as considering the line losses for different load demand. Both the algorithms are presented and described in this paper. The optimization has been done considering total fuel cost as the fitness function. The simulation results for all the cases are analyzed and presented in this paper.