Optimal Power Distribution Network Reconfiguration using Cuckoo Search

This paper presents an adaptation of a new metaheuristic algorithm known as Cuckoo Search (CS) to solve the distribution network reconfiguration problem (DNRC), where the objective is to minimize the real power losses subject to constraints such as voltage levels in nodes, current levels in branches...

Full description

Autores:
Herazo, Efren
Quintero, Michell
Candelo, John
Soto, Jose
Guerrero, Javier
Tipo de recurso:
Article of journal
Fecha de publicación:
2015
Institución:
Corporación Universidad de la Costa
Repositorio:
REDICUC - Repositorio CUC
Idioma:
eng
OAI Identifier:
oai:repositorio.cuc.edu.co:11323/8594
Acceso en línea:
https://hdl.handle.net/11323/8594
https://doi.org/10.1109/EPECS.2015.7368548
https://repositorio.cuc.edu.co/
Palabra clave:
Ant Colony Optimization
Cuckoo Search algorithm
distribution system
distribution network reconfiguration
real power
Rights
openAccess
License
Attribution-NonCommercial-NoDerivatives 4.0 International
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oai_identifier_str oai:repositorio.cuc.edu.co:11323/8594
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dc.title.spa.fl_str_mv Optimal Power Distribution Network Reconfiguration using Cuckoo Search
title Optimal Power Distribution Network Reconfiguration using Cuckoo Search
spellingShingle Optimal Power Distribution Network Reconfiguration using Cuckoo Search
Ant Colony Optimization
Cuckoo Search algorithm
distribution system
distribution network reconfiguration
real power
title_short Optimal Power Distribution Network Reconfiguration using Cuckoo Search
title_full Optimal Power Distribution Network Reconfiguration using Cuckoo Search
title_fullStr Optimal Power Distribution Network Reconfiguration using Cuckoo Search
title_full_unstemmed Optimal Power Distribution Network Reconfiguration using Cuckoo Search
title_sort Optimal Power Distribution Network Reconfiguration using Cuckoo Search
dc.creator.fl_str_mv Herazo, Efren
Quintero, Michell
Candelo, John
Soto, Jose
Guerrero, Javier
dc.contributor.author.spa.fl_str_mv Herazo, Efren
Quintero, Michell
Candelo, John
Soto, Jose
Guerrero, Javier
dc.subject.spa.fl_str_mv Ant Colony Optimization
Cuckoo Search algorithm
distribution system
distribution network reconfiguration
real power
topic Ant Colony Optimization
Cuckoo Search algorithm
distribution system
distribution network reconfiguration
real power
description This paper presents an adaptation of a new metaheuristic algorithm known as Cuckoo Search (CS) to solve the distribution network reconfiguration problem (DNRC), where the objective is to minimize the real power losses subject to constraints such as voltage levels in nodes, current levels in branches, and maintaining a radial topology in the distribution test system. The performance of the proposed method is compared with a popular meta-heuristic algorithm, Ant Colony Optimization (ACO). The methods have been tested on the IEEE 37 bus radial distribution system. Experiments were carried out to compare the simulation time, which is a critical measure for the real implementation of the method in real power distribution systems.
publishDate 2015
dc.date.issued.none.fl_str_mv 2015
dc.date.accessioned.none.fl_str_mv 2021-08-31T16:34:59Z
dc.date.available.none.fl_str_mv 2021-08-31T16:34:59Z
dc.type.spa.fl_str_mv Artículo de revista
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dc.type.content.spa.fl_str_mv Text
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dc.identifier.uri.spa.fl_str_mv https://hdl.handle.net/11323/8594
dc.identifier.doi.spa.fl_str_mv https://doi.org/10.1109/EPECS.2015.7368548
dc.identifier.instname.spa.fl_str_mv Corporación Universidad de la Costa
dc.identifier.reponame.spa.fl_str_mv REDICUC - Repositorio CUC
dc.identifier.repourl.spa.fl_str_mv https://repositorio.cuc.edu.co/
url https://hdl.handle.net/11323/8594
https://doi.org/10.1109/EPECS.2015.7368548
https://repositorio.cuc.edu.co/
identifier_str_mv Corporación Universidad de la Costa
REDICUC - Repositorio CUC
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.references.spa.fl_str_mv Y. Xu, Z. Y. Dong, K. P. Wong, E. Liu, and B. Yue, “Optimal Capacitor Placement to Distribution Transformers for Power Loss Reduction in Radial Distribution Systems,” vol. 28, no. 4, pp. 4072–4079, 2013
D. Das, “Optimal placement of capacitors in radial distribution system using a Fuzzy-GA method,” Int. J. Electr. Power Energy Syst., vol. 30, pp. 361–367, 2008
K. Vinoth and M. P. Selvan, “Planning and Operation of Distributed Generations in Distribution Systems for Improved Voltage Profile,” vol. 620015, pp. 1–7, 2009
W.-S. Tan, M. Y. Hassan, M. S. Majid, and H. Abdul Rahman, “Optimal distributed renewable generation planning: A review of different approaches,” Renew. Sustain. Energy Rev., vol. 18, pp. 626–645, Feb. 2013
R. S. Rao, K. Ravindra, K. Satish, and S. V. L. Narasimham, “Power Loss Minimization in Distribution System Using Network Recon fi guration in the Presence of Distributed Generation,” vol. 28, no. 1, pp. 317–325, 2013
N. Rugthaicharoencheep, S. Nedphograw, and W. Wanaratwijit, “Distribution system operation for power loss minimization and improved voltage profile with distributed generation and capacitor placements,” 2011 4th Int. Conf. Electr. Util. Deregul. Restruct. Power Technol., pp. 1185–1189, Jul. 2011
A. Merlin and H. Back, “Search for a minimal-loss operating spanning tree configuration in an urban power distribution system,” Proc. 5th Power Syst. Comput. Conf, 1975
H.-T. Yang, Y.-T. Tzeng, and M.-S. Tsai, “Loss-Minimized Distribution System Reconfiguration by Using Improved Multiagent Based Particle Swarm Optimization,” 2010 Asia-Pacific Power Energy Eng. Conf., pp. 1–6, 2010
F. S. Pereira, S. Member, K. Vittori, and G. R. M. Costa, “Ant Colony Based Method for Reconfiguration of Power Distribution System to Reduce Losses,” no. 1, pp. 1–5, 2008
A. M. Leite and L. C. Nascimento, “Network Reconfiguration of Distribution Systems Using Metaheuristics and Reliability Measures,” 2009
Xin-She Yang and Suash Dev, “Cuckoo Search,” Nature-Inspired Optim. Algorithms, 2009.
X. Yang and S. Deb, “Cuckoo Search via Levy Flights,” pp. 210– 214, 2009.
A. Swarnkar, N. Gupta, and K. R. Niazi, “Adapted ant colony optimization for efficient reconfiguration of balanced and unbalanced distribution systems for loss minimization,” Swarm Evol. Comput., vol. 1, no. 3, pp. 129–137, 2011.
F. Scenna, D. Anaut, L. Passoni, and G. Meschino, “Reconfiguration of Electrical Networks by an Ant Colony Optimization Algorithm,” IEEE Lat. Am. Trans., vol. 11, no. 1, pp. 538–544, 2013.
Mantegna RN., “Fast, accurate algorithm for numerical simulation of Lévy stable stochastic process,” Phys Rev, 1994.
A. Ouaarab, B. Ahiod, and X. S. Yang, “Discrete cuckoo search algorithm for the travelling salesman problem,” Neural Comput. Appl., vol. 24, pp. 1659–1669, 2014.
dc.rights.spa.fl_str_mv Attribution-NonCommercial-NoDerivatives 4.0 International
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spelling Herazo, EfrenQuintero, MichellCandelo, JohnSoto, JoseGuerrero, Javier2021-08-31T16:34:59Z2021-08-31T16:34:59Z2015https://hdl.handle.net/11323/8594https://doi.org/10.1109/EPECS.2015.7368548Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/This paper presents an adaptation of a new metaheuristic algorithm known as Cuckoo Search (CS) to solve the distribution network reconfiguration problem (DNRC), where the objective is to minimize the real power losses subject to constraints such as voltage levels in nodes, current levels in branches, and maintaining a radial topology in the distribution test system. The performance of the proposed method is compared with a popular meta-heuristic algorithm, Ant Colony Optimization (ACO). The methods have been tested on the IEEE 37 bus radial distribution system. Experiments were carried out to compare the simulation time, which is a critical measure for the real implementation of the method in real power distribution systems.Herazo, EfrenQuintero, MichellCandelo, JohnSoto, JoseGuerrero, Javierapplication/pdfengAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf22015 4th International Conference on Electric Power and Energy Conversion Systems, EPECS 2015https://ieeexplore.ieee.org/abstract/document/7368548Ant Colony OptimizationCuckoo Search algorithmdistribution systemdistribution network reconfigurationreal powerOptimal Power Distribution Network Reconfiguration using Cuckoo SearchArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/acceptedVersionY. Xu, Z. Y. Dong, K. P. Wong, E. Liu, and B. Yue, “Optimal Capacitor Placement to Distribution Transformers for Power Loss Reduction in Radial Distribution Systems,” vol. 28, no. 4, pp. 4072–4079, 2013D. Das, “Optimal placement of capacitors in radial distribution system using a Fuzzy-GA method,” Int. J. Electr. Power Energy Syst., vol. 30, pp. 361–367, 2008K. Vinoth and M. P. Selvan, “Planning and Operation of Distributed Generations in Distribution Systems for Improved Voltage Profile,” vol. 620015, pp. 1–7, 2009W.-S. Tan, M. Y. Hassan, M. S. Majid, and H. Abdul Rahman, “Optimal distributed renewable generation planning: A review of different approaches,” Renew. Sustain. Energy Rev., vol. 18, pp. 626–645, Feb. 2013R. S. Rao, K. Ravindra, K. Satish, and S. V. L. Narasimham, “Power Loss Minimization in Distribution System Using Network Recon fi guration in the Presence of Distributed Generation,” vol. 28, no. 1, pp. 317–325, 2013N. Rugthaicharoencheep, S. Nedphograw, and W. Wanaratwijit, “Distribution system operation for power loss minimization and improved voltage profile with distributed generation and capacitor placements,” 2011 4th Int. Conf. Electr. Util. Deregul. Restruct. Power Technol., pp. 1185–1189, Jul. 2011A. Merlin and H. Back, “Search for a minimal-loss operating spanning tree configuration in an urban power distribution system,” Proc. 5th Power Syst. Comput. Conf, 1975H.-T. Yang, Y.-T. Tzeng, and M.-S. Tsai, “Loss-Minimized Distribution System Reconfiguration by Using Improved Multiagent Based Particle Swarm Optimization,” 2010 Asia-Pacific Power Energy Eng. Conf., pp. 1–6, 2010F. S. Pereira, S. Member, K. Vittori, and G. R. M. Costa, “Ant Colony Based Method for Reconfiguration of Power Distribution System to Reduce Losses,” no. 1, pp. 1–5, 2008A. M. Leite and L. C. Nascimento, “Network Reconfiguration of Distribution Systems Using Metaheuristics and Reliability Measures,” 2009Xin-She Yang and Suash Dev, “Cuckoo Search,” Nature-Inspired Optim. Algorithms, 2009.X. Yang and S. Deb, “Cuckoo Search via Levy Flights,” pp. 210– 214, 2009.A. Swarnkar, N. Gupta, and K. R. Niazi, “Adapted ant colony optimization for efficient reconfiguration of balanced and unbalanced distribution systems for loss minimization,” Swarm Evol. Comput., vol. 1, no. 3, pp. 129–137, 2011.F. Scenna, D. Anaut, L. Passoni, and G. Meschino, “Reconfiguration of Electrical Networks by an Ant Colony Optimization Algorithm,” IEEE Lat. Am. Trans., vol. 11, no. 1, pp. 538–544, 2013.Mantegna RN., “Fast, accurate algorithm for numerical simulation of Lévy stable stochastic process,” Phys Rev, 1994.A. Ouaarab, B. Ahiod, and X. S. Yang, “Discrete cuckoo search algorithm for the travelling salesman problem,” Neural Comput. Appl., vol. 24, pp. 1659–1669, 2014.PublicationORIGINALOptimal Power Distribution Network Reconfiguration using Cuckoo Search.pdfOptimal Power Distribution Network Reconfiguration using Cuckoo Search.pdfapplication/pdf106875https://repositorio.cuc.edu.co/bitstreams/fc428bc2-cff8-415b-a032-ebb0d8837121/download68b23d7c794a0351d684955bf366daaeMD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8805https://repositorio.cuc.edu.co/bitstreams/d010aea4-2ebb-40c7-bf13-49bc828a0c63/download4460e5956bc1d1639be9ae6146a50347MD52LICENSElicense.txtlicense.txttext/plain; charset=utf-83196https://repositorio.cuc.edu.co/bitstreams/373b15be-be50-4006-8cda-b16289650a1d/downloade30e9215131d99561d40d6b0abbe9badMD53THUMBNAILOptimal Power Distribution Network Reconfiguration using Cuckoo Search.pdf.jpgOptimal Power Distribution Network Reconfiguration using Cuckoo 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