| 1/2009 - 6 |
Optimal Power Flow Solution Using Ant Manners for Electrical NetworkALLAOUA, B., LAOUFI, A. |
View the paper record and citations in  |
Click to see author's profile in  SCOPUS,  IEEE Xplore,  Web of Science |
Download PDF  (614 KB) | Citation | Downloads: 1,514 | Views: 741 |
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
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 |
Web of Science® Times Cited: 25 [View]
View record in Web of Science® [View]
View Related Records® [View]
Updated 3 days, 7 hours ago
SCOPUS® Times Cited: 35
View record in SCOPUS® [Free preview]
View citations in SCOPUS® [Free preview]
Updated today
[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] 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, 2023.
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]
Updated 3 days, 7 hours ago
Disclaimer: All information displayed above was retrieved by using remote connections to respective databases. For the best user experience, we update all data by using background processes, and use caches in order to reduce the load on the servers we retrieve the information from. As we have no control on the availability of the database servers and sometimes the Internet connectivity may be affected, we do not guarantee the information is correct or complete. For the most accurate data, please always consult the database sites directly. Some external links require authentication or an institutional subscription.
Web of Science® is a registered trademark of Clarivate Analytics, Scopus® is a registered trademark of Elsevier B.V., other product names, company names, brand names, trademarks and logos are the property of their respective owners.
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.
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.
