Title: Bio-inspired optimisation for economic load dispatch: a review

Authors: Hari Mohan Dubey; Bijaya Ketan Panigrahi; Manjaree Pandit

Addresses: Department of Electrical Engineering, Madhav Institute of Technology and Science, Gwalior, 474005, India ' Department of Electrical Engineering, IIT Delhi, 110016, India ' Department of Electrical Engineering, Madhav Institute of Technology and Science, Gwalior, 474005, India

Abstract: Restructuring of power sector in the last decade has introduced competition among the various entities of power system. In this revolutionised competitive environment, day by day increase in fossil fuel cost along with the environment issues, force the electric power producing utilities for a best possible economic real power dispatch with a minimum power production cost. The economic load dispatch (ELD) is a complex optimisation problem due to non-linear, non-convex type fuel cost characteristics of the fossil fuel operated thermal generators. Although many conventional optimisation approaches have been developed to solve such problem, over the past decade, the bio-inspired optimisation (BIO) techniques have shown promising performance on such constrained ELD problems. This paper attempts to provide a comprehensive review of application of BIO algorithms to solve most complex practical ELD problems.

Keywords: economic load dispatch; ELD; bio-inspired optimisation; BIO; differential evolution; swarm intelligence; genetic algorithms; particle swarm optimisation; PSO; ant colony optimisation; ACO; power systems; electric utilities; electricity industry.

DOI: 10.1504/IJBIC.2014.059967

International Journal of Bio-Inspired Computation, 2014 Vol.6 No.1, pp.7 - 21

Received: 02 Jul 2013
Accepted: 03 Jul 2013
Published online: 27 Sep 2014 *

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