Economic emission dispatch using an advanced particle swarm optimization technique
ISSN: 1708-5284
Article publication date: 6 March 2019
Issue publication date: 12 April 2019
Abstract
Purpose
This study aims to present a novel optimization technique to solve the combined economic emission dispatch (CEED) problem considering transmission losses, valve-point loading effects, ramp rate limits and prohibited operating zones. This is one of the most complex optimization problems concerning power systems.
Design/methodology/approach
The proposed algorithm has been called advanced particle swarm optimization (APSO) and was created by applying several innovative modifications to the classic PSO algorithm. APSO performance was tested on four test systems having 14, 40, 54 and 120 generators.
Findings
The suggested modifications have improved the accuracy, convergence rate, robustness and effectiveness of the algorithm, which has produced high-quality solutions for the CEED problem.
Originality/value
The results obtained by APSO were compared with those of several other techniques, and the effectiveness and superiority of the proposed algorithm was demonstrated. Also, because of its superlative characteristics, APSO can be applied to many other engineering optimization problems. Moreover, the suggested modifications can be easily used in other population-based optimization algorithms to improve their performance.
Keywords
Citation
Rezaie, H., Abedi, M., Rastegar, S. and Rastegar, H. (2019), "Economic emission dispatch using an advanced particle swarm optimization technique", World Journal of Engineering, Vol. 16 No. 1, pp. 23-32. https://doi.org/10.1108/WJE-04-2018-0126
Publisher
:Emerald Publishing Limited
Copyright © 2019, Emerald Publishing Limited