Combined Economic and Emission Dispatch Solution Using ABC_PSO Hybrid Algorithm with Valve Point Loading Effect

Abstract

The problem of power system optimization has become a deciding factor in current power system engineering practice with emphasis on cost and emission reduction. The economic and emission dispatch problem has been addressed in this paper using two efficient optimization methods, Artificial Bee Colony (ABC) and Particle Swarm Optimization (PSO). A hybrid produced from these two algorithms is tested on a 10 generator test system with valve point effects. The results are compared with differential evolution (DE), Strength Pareto Evolutionary Algorithm (SPEA) and Non Sorting Genetic Algorithm (NSGA) and found to be effective on the combined economic and emission dispatch problem.