A HYBRID BPSO-ST SWARM INTELLIGENCE APPROACH FOR RESOLVING ECONOMIC LOAD DISPATCH PROBLEM IN POWER SYSTEM

Abstract

The increment in the demand of real power on the distribution power system has an effect on cost of the
power generation systems. The main purpose is to arrange the total demand amid committed generating units with lesser
fuel cost by utilizing the intelligent mechanisms. This study develops a hybrid mechanism based on Binary Particle
Swarm Optimization (BPSO) and State Transition (ST) to optimize the performance of the power units at lesser cost. The
BPSO-ST is evaluated by using the 6 different power units. A comparison analysis is performed among Lambda Method,
Genetic Algorithm (GA), Particle Swarm Method (PSO) and BPSO-ST method in the terms of total power loss, total
generated power and total cost incurred. The results prove that the BPSO-ST outperforms the other ELD optimizing
techniques.