Title: Combined economic emission and load dispatch using hybrid metaheuristics

Authors: Dipankar Santra; Krishna Sarker; Anirban Mukherjee; Subrata Mondal

Addresses: RCC Institute of Information Technology, Kolkata, India ' Saroj Mohan Institute of Technology, Hoogly, West Bengal, India ' RCC Institute of Information Technology, Kolkata, India ' Jadavpur University, Kolkata, India

Abstract: This paper attempts to report optimal result for economic emission dispatch (EED) problem together with economic load dispatch (ELD) problem with valve point effect. The result is obtained using a hybrid meta-heuristic technique not used earlier for the said purpose. The technique involves hybridised particle swarm optimisation (PSO) and ant colony optimisation (ACO) methods. The purpose is to minimise fuel cost and operating cost of generators and at the same time minimise harmful emission of NO_x. In this study ELD problem has been considered for a power system with 13 generating units whereas ELD and EED both combined i.e. CEED problem is solved for 40-generator test system. The proposed PSO-ACO hybrid shows excellent convergence property and encouraging results in comparison with other hybrid methods.

Keywords: combined economic emission dispatch; CEED; economic load dispatch; ELD; environment; hybrid metaheuristics; particle swarm optimisation; PSO; ant colony optimisation; ACO.

DOI: 10.1504/IJHI.2019.103579

International Journal of Hybrid Intelligence, 2019 Vol.1 No.2/3, pp.211 - 238

Received: 04 Apr 2018
Accepted: 07 Jun 2018
Published online: 12 Nov 2019 *

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