Click to open the HelpDesk interface
AECE - Front page banner

Menu:


FACTS & FIGURES

JCR Impact Factor: 0.700
JCR 5-Year IF: 0.700
SCOPUS CiteScore: 1.8
Issues per year: 4
Current issue: Nov 2024
Next issue: Feb 2025
Avg review time: 57 days
Avg accept to publ: 60 days
APC: 300 EUR


PUBLISHER

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


TRAFFIC STATS

3,065,062 unique visits
1,190,710 downloads
Since November 1, 2009



Robots online now
SemrushBot
AhrefsBot
bingbot
Googlebot


SCOPUS CiteScore

SCOPUS CiteScore


SJR SCImago RANK

SCImago Journal & Country Rank




TEXT LINKS

Anycast DNS Hosting
MOST RECENT ISSUES

 Volume 24 (2024)
 
     »   Issue 4 / 2024
 
     »   Issue 3 / 2024
 
     »   Issue 2 / 2024
 
     »   Issue 1 / 2024
 
 
 Volume 23 (2023)
 
     »   Issue 4 / 2023
 
     »   Issue 3 / 2023
 
     »   Issue 2 / 2023
 
     »   Issue 1 / 2023
 
 
 Volume 22 (2022)
 
     »   Issue 4 / 2022
 
     »   Issue 3 / 2022
 
     »   Issue 2 / 2022
 
     »   Issue 1 / 2022
 
 
 Volume 21 (2021)
 
     »   Issue 4 / 2021
 
     »   Issue 3 / 2021
 
     »   Issue 2 / 2021
 
     »   Issue 1 / 2021
 
 
  View all issues  


FEATURED ARTICLE

A Proposed Signal Reconstruction Algorithm over Bandlimited Channels for Wireless Communications, ASHOUR, A., KHALAF, A., HUSSEIN, A., HAMED, H., RAMADAN, A.
Issue 1/2023

AbstractPlus






LATEST NEWS

2024-Jun-20
Clarivate Analytics published the InCites Journal Citations Report for 2023. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.700 (0.700 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.600.

2023-Jun-28
Clarivate Analytics published the InCites Journal Citations Report for 2022. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.800 (0.700 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 1.000.

2023-Jun-05
SCOPUS published the CiteScore for 2022, computed by using an improved methodology, counting the citations received in 2019-2022 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering for 2022 is 2.0. For "General Computer Science" we rank #134/233 and for "Electrical and Electronic Engineering" we rank #478/738.

2022-Jun-28
Clarivate Analytics published the InCites Journal Citations Report for 2021. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.825 (0.722 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.752.

2022-Jun-16
SCOPUS published the CiteScore for 2021, computed by using an improved methodology, counting the citations received in 2018-2021 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering for 2021 is 2.5, the same as for 2020 but better than all our previous results.

Read More »


    
 

  1/2009 - 6

 HIGH-IMPACT PAPER 

Optimal Power Flow Solution Using Ant Manners for Electrical Network

ALLAOUA, B., LAOUFI, A.
 
Extra paper information in View the paper record and citations in Google Scholar View the paper record and similar papers in Microsoft Bing View the paper record and similar papers in Semantic Scholar the AI-powered research tool
Click to see author's profile in 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: 1,694 | Views: 1,200

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
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.
[CrossRef] [SCOPUS Times Cited 1352]


[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 1689] [SCOPUS Times Cited 2264]


[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 7476] [SCOPUS Times Cited 10362]


[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 1248] [SCOPUS Times Cited 1650]


[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 6900]


[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] [SCOPUS Times Cited 507]


[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 378] [SCOPUS Times Cited 537]


[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] [SCOPUS Times Cited 103]


[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.

[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.
[CrossRef] [SCOPUS Times Cited 148]


[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.
[CrossRef] [Web of Science Times Cited 6] [SCOPUS Times Cited 16]


[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 264] [SCOPUS Times Cited 361]


[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 335] [SCOPUS Times Cited 518]


References Weight

Web of Science® Citations for all references: 11,750 TCR
SCOPUS® Citations for all references: 24,718 TCR

Web of Science® Average Citations per reference: 392 ACR
SCOPUS® Average Citations per reference: 824 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 2024-12-17 23:57 in 90 seconds.




Note1: Web of Science® is a registered trademark of Clarivate Analytics.
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 ©2001-2024
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 website 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: 


DNS Made Easy