A Novel Selective Particle Swarm Optimization Approach for Combined Heat and Power Economic Dispatch

Abstract

This article presents a new, improved particle swarm optimization algorithm with a selection operator for the solution of the combined heat and power economic dispatch problem. In this technique, starting with a large swarm of particles, only those particles whose fitness is above the scaled average fitness are selected in successive iterations, using a selection factor that is adjustable depending on the nature of the problem. The method is illustrated using a test case. The result compares favorably with other particle swarm optimization variants and other existing non-conventional methods.

Keywords:

• combined heat and power economic dispatch
• cogeneration
• particle swarm optimization
• selective particle swarm optimization
• selection coefficient

Acknowledgment

The authors are extremely grateful to the chancellor and pro-chancellors of the Vellore Institute of Technology, Vellore, India, for providing excellent infra-structure facilities and the encouragement that have made this research work possible.