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Crisscross Optimization with Comprehensive Vertical Crossover to Solve Combined Economic Emission DispatchCHELLADURAI, C.   , VICTOIRE, A. A. |
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Author keywords
heuristic algorithms, nonlinear equations, optimal scheduling, optimization methods, power generation dispatch
References keywords
economic(23), dispatch(23), systems(12), power(12), emission(12), algorithm(12), load(7), search(6), problem(6), environmental(6)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2018-08-31
Volume 18, Issue 3, Year 2018, On page(s): 131 - 140
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2018.03018
Web of Science Accession Number: 000442420900018
SCOPUS ID: 85052127455
Abstract
This article implements Crisscross optimization technique with comprehensive vertical crossover (CSCVC) to solve the combined economic and emission dispatch (CEED) problem. The optimization problem considered here is multi-objective, as it involves both cost and emission to be minimized simultaneously. This complex and challenging problem can be solved using specialized technique which could thoroughly search the solution space and locate the best optimal set of solutions. The proposed CSCVC technique generates good quality solutions by implementing three interacting search operators, namely horizontal, vertical and Comprehensive crossover stages. To prove the superiority of the proposed technique numerical simulations are performed on 6, 10, and 14 Units test systems. The numerical results are compared with other existing methods in the literature and it is shown that the proposed CSCVC technique outperforms the other methods in terms producing minimum cost and emission. |
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[1] A bio-geography-based algorithm for optimal siting and sizing of distributed generators with an effective power factor model, Ravindran, S., Victoire, T. Aruldoss Albert, Computers & Electrical Engineering, ISSN 0045-7906, Issue , 2018.
Digital Object Identifier: 10.1016/j.compeleceng.2018.10.010 [CrossRef]
[2] Enhanced multi-objective crisscross optimization for dynamic economic emission dispatch considering demand response and wind power uncertainty, Chinnadurrai, C L., Victoire, T. Aruldoss Albert, Soft Computing, ISSN 1432-7643, Issue 12, Volume 24, 2020.
Digital Object Identifier: 10.1007/s00500-019-04431-3 [CrossRef]
[3] Multi-strategy ensemble binary hunger games search for feature selection, Ma, Benedict Jun, Liu, Shuai, Heidari, Ali Asghar, Knowledge-Based Systems, ISSN 0950-7051, Issue , 2022.
Digital Object Identifier: 10.1016/j.knosys.2022.108787 [CrossRef]
[4] Multi Objective Optimization for Sizing and Placement of Distributed Generators Using a Modified Ant Lion Optimizer Algorithm, Victoire T, Aruldoss Albert, Chelladurrai, Chinnadurrai, Selladurai, Ravindran, Kanimozhi P, Arulmozhi N, Gobu B Jaikumar S, Suguna A, SN, Deepa, 2019 9th International Conference on Power and Energy Systems (ICPES), ISBN 978-1-7281-2658-6, 2019.
Digital Object Identifier: 10.1109/ICPES47639.2019.9105513 [CrossRef]
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.
Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.
Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.
