| 3/2018 - 18 | View TOC | « Previous Article | Next Article » |
Crisscross Optimization with Comprehensive Vertical Crossover to Solve Combined Economic Emission DispatchCHELLADURAI, C.   , VICTOIRE, A. A. |
View the paper record and citations in  |
| Click to see author's profile in SCOPUS, IEEE Xplore, Web of Science |
Download PDF  (1,238 KB) | Citation | Downloads: 862 | Views: 2,575 |
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. |
| References | | | Cited By «-- Click to see who has cited this paper |
| [1] D. C. Walters, and G. B. Sheble, "Genetic algorithm solution of economic dispatch with valve point loading", IEEE transactions on Power Systems, vol. 8, no. 3, pp.1325-1332, Aug 1993. [CrossRef] [Web of Science Times Cited 799] [2] IEEE Current Operating Problems Working Group, in: "Potential impacts of clean air regulations on system operations", IEEE Trans. Power Syst, vol. 10,pp. 647-653, May 1995. [CrossRef] [Web of Science Times Cited 82] [3] J. Nanda, D. P. Kothari, K. S. Lingamurthy, "Economic-emission load dispatch through goal programming techniques",IEEE Transactions on Energy Conversion, vol. 3, no. 1 pp. 26-32, Mar 1988. [CrossRef] [Web of Science Times Cited 135] [4] J. Nanda, L. Hari, M. L. Kothari, "Economic emission load dispatch with line flow constraints using a classical technique", IEE Proceedings-Generation, Transmission and Distribution, vol. 141, no. 1, pp.1-10, Jan 1994. [CrossRef] [Web of Science Times Cited 152] [5] J. Y. Fan, L. Zhang, "Real-time economic dispatch with line flow and emission constraints using quadratic programming". IEEE Transactions on Power Systems, vol. 13, no. 2, pp.320-325, May 1998. [CrossRef] [Web of Science Times Cited 204] [6] M. A. Abido, "Environmental/economic power dispatch using multiobjective evolutionary algorithms", IEEE Transactions on Power Systems, vol. 18, no. 4, pp.1529-1537, Nov 2003. [CrossRef] [Web of Science Times Cited 488] [7] M. Basu, "Economic environmental dispatch using multi-objective differential evolution", Applied Soft Computing, vol. 11, no. 2, pp.2845-2853, Mar 2011. [CrossRef] [Web of Science Times Cited 294] [8] P. K. Roy, S. P. Ghoshal, S. S. Thakur, "Combined economic and emission dispatch problems using biogeography-based optimization", Electrical Engineering (Archiv fur Elektrotechnik), vol. 92, no. 4, pp.173-184, Oct 2010. [CrossRef] [Web of Science Times Cited 50] [9] T. Apostolopoulos, A. Vlachos, "Application of the firefly algorithm for solving the economic emissions load dispatch problem", International Journal of Combinatorics, vol.2011, Dec 2011. [CrossRef] [10] S. Sivasubramani, K. S. Swarup, "Environmental/economic dispatch using multi-objective harmony search algorithm", Electric power systems research, vol. 81, no. 9, pp.1778-1785, Sep 2011. [CrossRef] [Web of Science Times Cited 118] [11] N. Pandit, A. Tripathi, S. Tapaswi, M. Pandit, "An improved bacterial foraging algorithm for combined static/dynamic environmental economic dispatch", Applied Soft Computing, vol. 12, no. 11, pp.3500-3513, Nov 2012. [CrossRef] [Web of Science Times Cited 124] [12] S. Rajasomashekar, Aravindhababu, "Biogeography based optimization technique for best compromise solution economic emission dispatch", Swarm and Evolutionary Computation, vol. 7, pp.47-57, Dec 2012. [CrossRef] [Web of Science Times Cited 68] [13] U. Guvenc, Y. Sonmez, S. Duman, N. Yorukeren, "Combined economic and emission dispatch solution using gravitational search algorithm", Scientia Iranica, vol. 19, no. 6, pp.1754-1762, Dec 2012. [CrossRef] [Web of Science Times Cited 184] [14] C. Koodalsamy, S. P. Simon, "Fuzzified artificial bee colony algorithm for nonsmooth and nonconvexmultiobjective economic dispatch problem", Turkish Journal of Electrical Engineering & Computer Sciences, vol. 21, no. 1, pp.1995-2014, Oct 2013. [CrossRef] [Web of Science Times Cited 12] [15] A. M. Elaiw, X. Xia, A. M. Shehata,"Hybrid DE-SQP and hybrid PSO-SQP methods for solving dynamic economic emission dispatch problem with valve-point effects", Electric Power Systems Research, vol.103,pp.192-200,Oct2013. [CrossRef] [Web of Science Times Cited 81] [16] H. Shayeghi, A. Ghasemi, "A modified artificial bee colony based on chaos theory for solving non-convex emission/economic dispatch", Energy Conversion and Management, vol. 79, pp.344-354, Mar 2014. [CrossRef] [Web of Science Times Cited 63] [17] B. Jeddi, V. Vahidinasab, "A modified harmony search method for environmental/economic load dispatch of real-world power systems", Energy Conversion and Management, vol. 78, pp.661-675, Feb 2014. [CrossRef] [Web of Science Times Cited 113] [18] S. Jiang, Z. Ji, Y. Shen, "A novel hybrid particle swarm optimization and gravitational search algorithm for solving economic emission load dispatch problems with various practical constraints", International Journal of Electrical Power & Energy Systems, vol. 55, pp.628-644, Feb 2014. [CrossRef] [Web of Science Times Cited 149] [19] D. Aydin, S. Ozyon, S,C. Yasar, T. Liao, "Artificial bee colony algorithm with dynamic population size to combined economic and emission dispatch problem", International journal of electrical power & energy systems, vol. 54, pp.144-153, Jan 2014. [CrossRef] [Web of Science Times Cited 124] [20] M. Modiri-Delshad, N. A. Rahim, "Multi-objective backtracking search algorithm for economic emission dispatch problem", Applied Soft Computing, vol. 40, pp.479-494, Mar 2016. [CrossRef] [Web of Science Times Cited 97] [21] A. Y. Abdelaziz,E. S. Ali, S. A. Elazim, "Implementation of flower pollination algorithm for solving economic load dispatch and combined economic emission dispatch problems in power systems", Energy, Vol. 101, pp.506-518, Apr 2016. [CrossRef] [Web of Science Times Cited 132] [22] A. B. Meng, Y. C. Chen, H. Yin, S. Z. Chen, "Crisscross optimization algorithm and its application", Knowledge-Based Systems, vol. 67, pp.218-229, Sep 2014. [CrossRef] [Web of Science Times Cited 125] [23] R. Zhang, J. Zhou, L. Mo, S. Ouyang, X. Liao, "Economic environmental dispatch using an enhanced multi-objective cultural algorithm", Electric Power Systems Research, vol. 99, pp.18-29, Jun 2013. [CrossRef] [Web of Science Times Cited 73] [24] M. S. Subathra, S. E. V. Selvan, T. Aruldoss Albert Victoire, A. H. Christinal, U. Amato, "A hybrid with cross-entropy method and sequential quadratic programming to solve economic load dispatch problem", IEEE Systems Journal, vol. 9, no. 3, pp.1031-44, Sep 2015. [CrossRef] [Web of Science Times Cited 88] [25] T. Aruldoss Albert Victoire, A. E. Jeyakumar, "Unit commitment by a tabu-search-based hybrid-optimisation technique", IEE Proceedings-Generation, Transmission and Distribution, vol. 152, no. 4, pp.563-574, Jul 2005. [CrossRef] [Web of Science Times Cited 75] Web of Science® Citations for all references: 3,830 TCR SCOPUS® Citations for all references: 0 Web of Science® Average Citations per reference: 147 ACR SCOPUS® Average Citations per reference: 0 TCR = Total Citations for References / ACR = Average Citations per Reference We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more Citations for references updated on 2024-04-16 07:31 in 144 seconds. Note1: Web of Science® is a registered trademark of Clarivate Analytics. Note2: SCOPUS® is a registered trademark of Elsevier B.V. Disclaimer: All queries to the respective databases were made by using the DOI record of every reference (where available). Due to technical problems beyond our control, the information is not always accurate. Please use the CrossRef link to visit the respective publisher site. |
Copyright ©2001-2024
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.
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.
