It is the cache of It is a snapshot of the page. The current page could have changed in the meantime.
Tip: To quickly find your search term on this page, press Ctrl+F or ⌘-F (Mac) and use the find bar.

Optimal Power Flow Solution Using Ant Manners for Electrical Network - Full text
Click to open the HelpDesk interface
AECE - Front page banner



JCR Impact Factor: 0.552
JCR 5-Year IF: 0.479
Issues per year: 4
Current issue: Feb 2014
Next issue: May 2014
Avg review time: 96 days


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

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 644266260
doi: 10.4316/AECE


762,134 unique visits
Since November 1, 2009

Robots online now
Yahoo! Slurp


SCImago Journal & Country Rank




 Volume 14 (2014)
     »    Issue 1 / 2014
 Volume 13 (2013)
     »    Issue 4 / 2013
     »    Issue 3 / 2013
     »    Issue 2 / 2013
     »    Issue 1 / 2013
 Volume 12 (2012)
     »    Issue 4 / 2012
     »    Issue 3 / 2012
     »    Issue 2 / 2012
     »    Issue 1 / 2012
 Volume 11 (2011)
     »    Issue 4 / 2011
     »    Issue 3 / 2011
     »    Issue 2 / 2011
     »    Issue 1 / 2011
  View all issues  


CA-MAC: A Novel MAC Protocol to Alleviate Congestion in Wireless Sensor Networks, QIAN, L., FANG, C., DOBRE, O. A., LIU, H., WU, J.
Issue 4/2013



Thomson Reuters published the Journal Citations Report for 2012. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.552, and the JCR 5-Year Impact Factor is 0.479.

In order to better and uniquely identify the authors, we publish permanent links to their profiles on Sciverse / Scopus. The information is available for all papers published after 2007.

The paper template was updated with new information and instructions. No significant changes were made, but accepted papers authors' are kindly asked to follow all the editing rules. More attention should be paid to the paper title, Abstract, Keywords and References sections.

Thomson Reuters published the Journal Citations Report for 2011. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.555.

Read More »


  1/2009 - 6

Optimal Power Flow Solution Using Ant Manners for Electrical Network
Coming from CrossRef

Download PDF pdficon (614 KB) | Citation | Downloads: 820 | Views: 2,434

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
This paper appears in: Advances in Electrical and Computer Engineering
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

Quick view
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

[1] H. W. Dommel, W. F. Tinney, "Optimal Power Flow Solutions", IEEE Transactions on Power Apparatus and Systems, vol. PAS-87, No. 10, pp. 1866-1876, 1968.

[2] T. Bouktir, M. Belkacemi, K. Zehar, "Optimal power flow using modified gradient method", Proceedings ICEL'2000, U.S.T. Oran, Algeria, pp. 436-442, 2000.

[3] R. Fletcher, Practical Methods of Optimization, John Willey & Sons, 1986.

[4] M. Dorigo, "Optimization, learning, and natural algorithms", Ph.D. Dissertation (in Italian), Dipartimento di Elettronica, Politecnico di Milano, Italy, 1992.

[5] M. Dorigo, G. Di Caro, "The ant colony optimization metaheuristic, New Ideas in Optimization, McGraw-Hill, pp. 11-32, 1997.

[6] M. Dorigo, G. Di Caro, L. M. Gambardella, "Ant algorithms for discrete optimization", Artificial Life, Vol.5, No.2, pp. 137-172, 1999.
[CrossRef] [PubMed] [Web of Science Times Cited 954]

[7] M. Dorigo, V. Maniezzo, A. Colorni, "Ant System, optimization by a colony of cooperating agents", IEEE Trans. System Man. and Cybernetics, Part B: Cybernetics, Vol. 26, No. 1, pp. 29-41, 1996.
[CrossRef] [PubMed] [Web of Science Times Cited 2783] [SCOPUS Times Cited 4129]

[8] M. Dorigo, L. M. Gambardella, "Ant colonies for the traveling salesman problem", BioSystems, Vol. 43, pp. 73-81, 1997.
[CrossRef] [Web of Science Times Cited 550] [SCOPUS Times Cited 755]

[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 3208]

[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 244] [SCOPUS Times Cited 346]

[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 209]

[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.

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

[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.

[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. 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.

[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.

[23] A. J. Wood, B.F. Wollenberg, "Power Generation, Operation and Control", 2nd Edition, John Wiley, 1996.

[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.

[26] S. Kumar, R. Billinton, "Low bus voltage and ill-conditioned network situation in a composite system adequacy evaluation", IEEE Transactions on Power Systems, Vol. PWRS-2, No. 3, 1987.

[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 80]

[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 152]

References Weight

Web of Science Citations for all references: 4,972 TCR
SCOPUS Citations for all references: 8,438 TCR

Web of Science Average Citations per reference: 165.73 ACR
SCOPUS Average Citations for per reference: 281.27 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 2014-03-03 15:54 in 58 seconds.

Note1: Web of Science® is a registered trademark of Thomson Reuters.
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 ©2001-2014
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 web-site 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.

Website loading speed and performance optimization powered by: