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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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With new technologies, such as mobile communications, internet of things, and wide applications of social media, organizations generate a huge volume of data, much faster than several years ago. Big data, characterized by high volume, diversity and velocity, increasingly drives decision making and is changing the landscape of business intelligence, from governments to private organizations, from communities to individuals. Big data analytics that discover insights from evidences has a high demand for computing efficiency, knowledge discovery, problem solving, and event prediction. We dedicate a special section of Issue 4/2017 to Big Data. Prospective authors are asked to make the submissions for this section no later than the 31st of May 2017, placing "Big Data - " before the paper title in OpenConf.

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  1/2009 - 6

Optimal Power Flow Solution Using Ant Manners for Electrical Network

ALLAOUA, B., LAOUFI, A.
 
Click to see author's profile on See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Download PDF pdficon (614 KB) | Citation | Downloads: 1,016 | Views: 4,530

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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Full text preview
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] [SCOPUS Times Cited 802]


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[CrossRef] [PubMed] [Web of Science Times Cited 1200]


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[CrossRef] [PubMed] [Web of Science Times Cited 4075] [SCOPUS Times Cited 5806]


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[CrossRef] [Web of Science Times Cited 762] [SCOPUS Times Cited 1055]


[9] M. Dorigo, L. M. Gambardella, "Ant colony System: a cooperative learning approach to the traveling salesman problem", IEEE Transactions on Evolutionary Computation, Vol. l, No. 1, pp. 53-66, 1997.
[CrossRef] [SCOPUS Times Cited 4415]


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[CrossRef] [Web of Science Times Cited 280] [SCOPUS Times Cited 401]


[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 263]


[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]


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[19] A. Bauer, B. Bullnheimer, R. F. Hartl, C. Strauss, "Minimizing total tardiness on a single machine using ant colony optimization", Central Eur. J. Oper. Res., Vol. 8, No. 2, pp. 125-141, 2000.

[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. St├╝tzle, 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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[24] V. Del Toro, "Electric Power Systems", Vol. 2, Prentice Hall, Englewood Cliffs, New Jersey, USA, 1992.

[25] G. W. Stagg, A. H. El Abiad, "Computer methods in power systems analysis", McGraw Hill International Book Company, 1968.

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[CrossRef] [Web of Science Times Cited 3] [SCOPUS Times Cited 15]


[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 139]


[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 214] [SCOPUS Times Cited 360]


References Weight

Web of Science® Citations for all references: 6,936 TCR
SCOPUS® Citations for all references: 12,854 TCR

Web of Science® Average Citations per reference: 231 ACR
SCOPUS® Average Citations per reference: 428 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 2017-04-22 20:51 in 86 seconds.




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


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