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Print ISSN: 1582-7445
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WorldCat: 643243560
doi: 10.4316/AECE


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  3/2018 - 18
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 HIGHLY CITED PAPER 

Crisscross Optimization with Comprehensive Vertical Crossover to Solve Combined Economic Emission Dispatch

CHELLADURAI, C. See more information about CHELLADURAI, C. on SCOPUS See more information about CHELLADURAI, C. on IEEExplore See more information about CHELLADURAI, C. on Web of Science, VICTOIRE, A. A. See more information about VICTOIRE, A. A. on SCOPUS See more information about VICTOIRE, A. A. on SCOPUS See more information about VICTOIRE, A. A. on Web of Science
 
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Download PDF pdficon (1,238 KB) | Citation | Downloads: 737 | Views: 1,833

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
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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

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[CrossRef] [Web of Science Times Cited 462] [SCOPUS Times Cited 646]


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[CrossRef] [Web of Science Times Cited 250] [SCOPUS Times Cited 332]


[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 46] [SCOPUS Times Cited 57]


[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 105] [SCOPUS Times Cited 124]


[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 103] [SCOPUS Times Cited 118]


[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.
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[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 159] [SCOPUS Times Cited 203]


[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] [SCOPUS Times Cited 14]


[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 76] [SCOPUS Times Cited 85]


[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 54] [SCOPUS Times Cited 62]


[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.
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[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.
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[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 108] [SCOPUS Times Cited 134]


[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.
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[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.
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[CrossRef] [Web of Science Times Cited 81] [SCOPUS Times Cited 107]


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[CrossRef] [Web of Science Times Cited 74] [SCOPUS Times Cited 98]




References Weight

Web of Science® Citations for all references: 3,438 TCR
SCOPUS® Citations for all references: 4,462 TCR

Web of Science® Average Citations per reference: 132 ACR
SCOPUS® Average Citations per reference: 172 ACR

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 2022-10-03 09:02 in 167 seconds.




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