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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
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ROMANIA

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


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  1/2009 - 6

 HIGH-IMPACT PAPER 

Optimal Power Flow Solution Using Ant Manners for Electrical Network

ALLAOUA, B., LAOUFI, A.
 
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Download PDF pdficon (614 KB) | Citation | Downloads: 1,508 | Views: 715

Author keywords
optimal power flow, power systems, ant manners and collective intelligence, ant colony optimization, metaheuristic

References keywords
optimization(13), power(11), system(10), problem(10), dorigo(10), colony(6), systems(5), algorithms(5), routing(4), problems(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2009-02-03
Volume 9, Issue 1, Year 2009, On page(s): 34 - 40
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2009.01006
Web of Science Accession Number: 000264815300006
SCOPUS ID: 67749109811

Abstract
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This paper presents ant manners and the collective intelligence for electrical network. Solutions for Optimal Power Flow (OPF) problem of a power system deliberate via an ant colony optimization metaheuristic method. The objective is to minimize the total fuel cost of thermal generating units and also conserve an acceptable system performance in terms of limits on generator real and reactive power outputs, bus voltages, shunt capacitors/reactors, transformers tap-setting and power flow of transmission lines. Simulation results on the IEEE 30-bus electrical network show that the ant colony optimization method converges quickly to the global optimum.


References | Cited By  «-- Click to see who has cited this paper

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[CrossRef]


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[CrossRef] [PubMed] [Web of Science Times Cited 1666]


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[CrossRef] [Web of Science Times Cited 1221]


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[CrossRef]


[10] V. Maniezzo, A. Colorni, "The ant System applied to the quadratic assignment problem", IEEE Trans. Knowledge and Data Engineering, Vol.11, No.5, pp. 769-778, 1999.
[CrossRef] [Web of Science Times Cited 354]


[11] T. Stuetzle, M. Dorigo, "ACO algorithms for the quadratic assignment problem", New Ideas in Optimization, McGraw-Hill, 1999.

[12] B. Bullnheimer, R. F. Haiti, C. Strauss, "Applying the ant System to the vehicle routing problem", MetaHeuristics: Advances and Trend in Local Search Paradigms for Optimization, Kluwer, pp. 285-296, 1999.

[13] B. Bullnheimer, R. F. Haiti, C. Strauss, "An improved ant System algorithm for the vehicle routing problem", Ann. Oper. Res., Vol. 89, pp. 319-328, 1999.
[CrossRef] [Web of Science Times Cited 374]


[14] L. M. Gambardella, E. Taillard, G. Agazzi, "MACS-VRPTW a multiple ant colony System for vehicle routing problems with time Windows", New Ideas in Optimization, McGraw-Hill, pp. 63-76, 1999.

[15] G. Di Caro, M. Dorigo," Ant colonies for adaptive routing in packet-switched communication networks", Proc. 5th Int. Conf. Parallel Problem Solving From Nature, Amsterdam, The Netherlands, pp. 673-682, 1998.
[CrossRef]


[16] D. Costa, A. Hertz, "Ants can color graphs", J. Oper. Res. Soc., Vol. 48, pp. 295-305, 1997.
[CrossRef]


[17] L. Schoofs, B. Naudts, "Ant colonies are good at solving constraint satisfaction problems", Proc. 2000 Congress on Evolutionary Computation, San Diego, CA, 2000, pp. 1190-1195, 2000.

[18] I. A. Wagner, A. M. Bruckstein, "Hamiltonian(t)-an ant inspired heuristic for recognizing Hamiltonian graphs", Proc. 1999 Congress on Evolutionary Computation, Washington, D.C., pp. 1465-1469, 1999.

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[20] A. Colorni, M. Dorigo, V. Maniezzo, M. Trubian, "Ant system for job-shop scheduling", Belgian J. Oper. Res., Statist. Comp. Sci. (JORBEL), Vol. 34, No. 1, pp. 39-53, 1994.

[21] M. Den Besteb, T. Stützle, M. Dorigo, "Ant colony optimization for the total weighted tardiness problem", Proc. 6th Int. Conf. Parallel Problem Solving from Nature, Berlin, pp. 611-620, 2000.
[CrossRef]


[22] D. Merkle, M. Middendorf, "An ant algorithm with a new pheromone evaluation rule for total tardiness problems", Proceedings of the EvoWorkshops 2000, Berlin, Germany: Springer-Verlag, Vol. 1803 Lecture Notes in Computer Science, pp. 287-296, 2000.

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[CrossRef] [Web of Science Times Cited 6]


[27] D.S. Johnson, L.A. McGeoch, "The traveling salesman problem: a case study in local optimization", Local Search in Combinatorial Optimization, John Wiley and Sons, pp. 215-310, 1997.

[28] D. Gaertner: Natural Algorithms for Optimisation Problems", Final Year Project Report, June 20, 2004.

[29] L. L. Lai, J. T. Ma, R. Yokoma, M. Zhao, "Improved genetic algorithms for optimal power flow under both normal and contingent operation states", Electrical Power & Energy, System, Vol. 19, No. 5, pp. 287-292, 1997.
[CrossRef] [Web of Science Times Cited 257]


[30] J. Yuryevich, K. P. Wong, "Evolutionary Programming Based Optimal Power Flow Algorithm", IEEE Transaction on power Systems, Vol. 14, No. 4, November 1999.
[CrossRef] [Web of Science Times Cited 328]


References Weight

Web of Science® Citations for all references: 11,474 TCR
SCOPUS® Citations for all references: 0

Web of Science® Average Citations per reference: 382 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 2024-03-27 11:43 in 75 seconds.




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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


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