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JCR Impact Factor: 0.699
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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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LATEST NEWS

2018-Jun-27
Clarivate Analytics published the InCites Journal Citations Report for 2017. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.699, and the JCR 5-Year Impact Factor is 0.674.

2017-Jun-14
Thomson Reuters published the Journal Citations Report for 2016. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.595, and the JCR 5-Year Impact Factor is 0.661.

2017-Feb-16
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 "BigData - " 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 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: 1,082 | Views: 5,114

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

Cited-By ISI Web of Science

Web of Science® Times Cited: 19 [View]
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Cited-By CrossRef

SCOPUS® Times Cited: 24
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[Free preview]

Updated 2 days, 6 hours ago

Cited-By CrossRef

[1] Modified Honey Bee Mating Optimisation to solve dynamic optimal power flow considering generator constraints, Niknam, T., Narimani, M.R., Aghaei, J., Tabatabaei, S., Nayeripour, M., IET Generation, Transmission & Distribution, ISSN 1751-8687, Issue 10, Volume 5, 2011.
Digital Object Identifier: 10.1049/iet-gtd.2011.0055
[CrossRef]

[2] Stochastic Weight Trade-Off Particle Swarm Optimization for Optimal Power Flow, Le, Luong Dinh, Polprasert, Jirawadee, Ongsakul, Weerakorn, Vo, Dieu Ngoc, Le, Dung Anh, Journal of Automation and Control Engineering, ISSN 2301-3702, Issue 1, Volume 2, 2014.
Digital Object Identifier: 10.12720/joace.2.1.31-37
[CrossRef]

[3] Voltage Control of Distribution Grids with Multi-Microgrids Using Reactive Power Management, WLODARCZYK, P., SUMPER, A., CRUZ, M., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 1, Volume 15, 2015.
Digital Object Identifier: 10.4316/AECE.2015.01012
[CrossRef] [Full text]

[4] Techniques for the Identification of Critical Nodes Leading to Voltage Collapse in a Power System, Adebayo, Isaiah, Jimoh, Adisa, Yusuff, Adedayo, International Journal of Emerging Electric Power Systems, ISSN 1553-779X, Issue 2, Volume 19, 2018.
Digital Object Identifier: 10.1515/ijeeps-2017-0129
[CrossRef]

[5] Artificial Bee Colony Algorithm for Solving Optimal Power Flow Problem, Le Dinh, Luong, Vo Ngoc, Dieu, Vasant, Pandian, The Scientific World Journal, ISSN 1537-744X, Issue , 2013.
Digital Object Identifier: 10.1155/2013/159040
[CrossRef]

[6] An Optimal Initial Partitioning of Large Data Model in Utility Management Systems, CAPKO, D., ERDELJAN, A., POPOVIC, M., SVENDA, G., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 4, Volume 11, 2011.
Digital Object Identifier: 10.4316/AECE.2011.04007
[CrossRef] [Full text]

[7] Optimal power flow: a bibliographic survey II, Frank, Stephen, Steponavice, Ingrida, Rebennack, Steffen, Energy Systems, ISSN 1868-3967, Issue 3, Volume 3, 2012.
Digital Object Identifier: 10.1007/s12667-012-0057-x
[CrossRef]

[8] Strategies for Power/Energy Saving in Distribution Networks, GRIGORAS, G., CARTINA, G., BOBRIC, E. C., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 2, Volume 10, 2010.
Digital Object Identifier: 10.4316/aece.2010.02010
[CrossRef] [Full text]

[9] Hybrid technique for optimal location and cost sizing of thyristor controlled series compensator to upgrade voltage stability, Jha, A.N., Panigrahi, B.K., Mahapatra, Sheila, IET Generation, Transmission & Distribution, ISSN 1751-8687, Issue 8, Volume 10, 2016.
Digital Object Identifier: 10.1049/iet-gtd.2015.1211
[CrossRef]

[10] Optimal power flow based upon genetic algorithm deploying optimum mutation and elitism, Aslam, M. Usman, Cheema, Muhammad Usman, Samran, Muhammad, Cheema, Muhammad Bilal, 2014 The 1st International Conference on Information Technology, Computer, and Electrical Engineering, ISBN 978-1-4799-6431-4, 2014.
Digital Object Identifier: 10.1109/ICITACEE.2014.7065767
[CrossRef]

[11] Economic load dispatch with environmental emission using MRPSO, Singh, N., Kumar, Y., 2013 3rd IEEE International Advance Computing Conference (IACC), ISBN 978-1-4673-4529-3, 2013.
Digital Object Identifier: 10.1109/IAdCC.2013.6514362
[CrossRef]

[12] Economic Load Dispatch Using MRPSO with Generator Ramp Rate Limits Constraint, Singh, Nagendra, Kumar, Yogendra, 2012 Fourth International Conference on Computational Intelligence and Communication Networks, ISBN 978-0-7695-4850-0, 2012.
Digital Object Identifier: 10.1109/CICN.2012.101
[CrossRef]

[13] Multi-objective Modified Grey Wolf Optimizer for Optimal Power Flow, Mohamed, Al-Attar Ali, El-Gaafary, Ahmed A. M., Mohamed, Yahia S., Hemeida, Ashraf Mohamed, 2016 Eighteenth International Middle East Power Systems Conference (MEPCON), ISBN 978-1-4673-9063-7, 2016.
Digital Object Identifier: 10.1109/MEPCON.2016.7837016
[CrossRef]

[14] A novel weight-improved particle swarm optimization algorithm for optimal power flow and economic load dispatch problems, PhanTu Vu, , DinhLuong Le, , NgocDieu Vo, , Tlusty, Josef, IEEE PES T&D 2010, ISBN 978-1-4244-6546-0, 2010.
Digital Object Identifier: 10.1109/TDC.2010.5484396
[CrossRef]

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


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