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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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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.

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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.

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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.

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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: 1,694 | Views: 1,201

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 Clarivate Web of Science

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SCOPUS® Times Cited: 36
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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, Chen, H., Pajares, G., The Scientific World Journal, ISSN 2356-6140, Issue 1, Volume 2013, 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] Algorithm for power systems mode optimization taking into account the frequency change in terms of probablistic nature of initial information, Gayibov, T, Latipov, Sh, Abdurashidov, D, Pulatov, B, Davirov, A, IOP Conference Series: Materials Science and Engineering, ISSN 1757-8981, Issue 1, Volume 883, 2020.
Digital Object Identifier: 10.1088/1757-899X/883/1/012185
[CrossRef]

[8] Reactive Power Optimization Based on the Application of an Improved Particle Swarm Optimization Algorithm, Mourtzis, Dimitris, Angelopoulos, John, Machines, ISSN 2075-1702, Issue 7, Volume 11, 2023.
Digital Object Identifier: 10.3390/machines11070724
[CrossRef]

[9] Metaheuristic search in smart grid: A review with emphasis on planning, scheduling and power flow optimization applications, Papadimitrakis, M., Giamarelos, N., Stogiannos, M., Zois, E.N., Livanos, N.A.-I., Alexandridis, A., Renewable and Sustainable Energy Reviews, ISSN 1364-0321, Issue , 2021.
Digital Object Identifier: 10.1016/j.rser.2021.111072
[CrossRef]

[10] 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]

[11] 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]

[12] Developing a metaheuristic model for the general assembly line balancing optimization based on a new workforce performance index: a case study in the garment industry, Chourabi, Zouhour, Khedher, Faouzi, Babay, Amel, Cheikhrouhou, Morched, The Journal of The Textile Institute, ISSN 0040-5000, Issue 11, Volume 115, 2024.
Digital Object Identifier: 10.1080/00405000.2023.2288364
[CrossRef]

[13] Hybrid technique for optimal location and cost sizing of thyristor controlled series compensator to upgrade voltage stability, Mahapatra, Sheila, Jha, A.N., Panigrahi, B.K., IET Generation, Transmission & Distribution, ISSN 1751-8695, Issue 8, Volume 10, 2016.
Digital Object Identifier: 10.1049/iet-gtd.2015.1211
[CrossRef]

[14] Review of Metaheuristic Optimization Algorithms for Power Systems Problems, Nassef, Ahmed M., Abdelkareem, Mohammad Ali, Maghrabie, Hussein M., Baroutaji, Ahmad, Sustainability, ISSN 2071-1050, Issue 12, Volume 15, 2023.
Digital Object Identifier: 10.3390/su15129434
[CrossRef]

[15] Algorithm for optimization of power system short-term mode in conditions of partial uncertainty of initial information taking into account the frequency change, Gayibov, Tulkin, Voropai, N., Senderov, S., Michalevich, A., Guliev, H., E3S Web of Conferences, ISSN 2267-1242, Issue , 2020.
Digital Object Identifier: 10.1051/e3sconf/202021601100
[CrossRef]

[16] Calculating the locational marginal price and solving optimal power flow problem based on congestion management using GA-GSF algorithm, Dashtdar, Masoud, Najafi, Mojtaba, Esmaeilbeig, Mostafa, Electrical Engineering, ISSN 0948-7921, Issue 3, Volume 102, 2020.
Digital Object Identifier: 10.1007/s00202-020-00974-z
[CrossRef]

[17] 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]

[18] 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]

[19] 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]

[20] 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]

[21] 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]

[22] Taking into account functional restrictions in the form of inequalities when optimizing the modes of electric power systems under conditions of partial uncertainty of the initial information, Latipov, Sherkhon, Talipova, Surayyo, Karimov, Ilhom, Mamatkulov, Asom, III INTERNATIONAL SCIENTIFIC AND TECHNICAL CONFERENCE “ACTUAL ISSUES OF POWER SUPPLY SYSTEMS” (ICAIPSS2023), ISBN , Issue , 2024.
Digital Object Identifier: 10.1063/5.0218939
[CrossRef]

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