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Stefan cel Mare
University of Suceava
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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: 1,096 | Views: 2,979

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

[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 812] [SCOPUS Times Cited 1107]


[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 83] [SCOPUS Times Cited 107]


[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 137] [SCOPUS Times Cited 184]


[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 153] [SCOPUS Times Cited 196]


[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 213] [SCOPUS Times Cited 263]


[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 493] [SCOPUS Times Cited 688]


[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 308] [SCOPUS Times Cited 409]


[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 52] [SCOPUS Times Cited 65]


[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 119] [SCOPUS Times Cited 142]


[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 131] [SCOPUS Times Cited 158]


[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 70] [SCOPUS Times Cited 95]


[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 193] [SCOPUS Times Cited 247]


[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 87] [SCOPUS Times Cited 98]


[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 65] [SCOPUS Times Cited 72]


[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 116] [SCOPUS Times Cited 141]


[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 155] [SCOPUS Times Cited 203]


[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 133] [SCOPUS Times Cited 164]


[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 101] [SCOPUS Times Cited 123]


[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 138] [SCOPUS Times Cited 159]


[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 151] [SCOPUS Times Cited 188]


[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 74] [SCOPUS Times Cited 97]


[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 90] [SCOPUS Times Cited 98]


[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 76] [SCOPUS Times Cited 101]




References Weight

Web of Science® Citations for all references: 3,962 TCR
SCOPUS® Citations for all references: 5,119 TCR

Web of Science® Average Citations per reference: 152 ACR
SCOPUS® Average Citations per reference: 197 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 2024-12-19 18:49 in 170 seconds.




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