Economic power dispatch using hybrid particle swarm optimization with simplex search method

Abstract

This paper presents the solution of economic power dispatch (EPD) in thermal power plants using the hybridization of particle swarm optimization (PSO) and simplex search method (SSM). EPD is obtain-ing the best generating schedule to supply the power demand and cover the transmission losses with minimum overall fuel cost. Physical constraints like valve point loading effects, ramp rate limits and prohibited operating zones are also included with basic EPD problem to increase the practicability in the problem. As PSO performs well in finding the global best solution and SSM in finding the local best solution, com-bination of both these improves the overall minimum results obtained for the generation of the fuel cost objective function. The performance of the proposed methodology is tested on different test systems hav-ing categories of small-scale, medium-scale and large-scale power system problems. The results obtained are then compared with other reported methods to show the superiority of the proposed algorithm.