Group-Theory for the Analysis of Heuristic Algorithms in Power Distribution Systems

This paper applies group theory to four classic problems in power distribution systems, namely: phase balancing, primary feeder reconfiguration, optimal tap setting of voltage regulator transformers and optimal placement of fixed capacitors. The main focus of the paper is in the codification and the...

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Autores:
Tipo de recurso:
Fecha de publicación:
2018
Institución:
Universidad Tecnológica de Bolívar
Repositorio:
Repositorio Institucional UTB
Idioma:
eng
OAI Identifier:
oai:repositorio.utb.edu.co:20.500.12585/8861
Acceso en línea:
https://hdl.handle.net/20.500.12585/8861
Palabra clave:
Group theory
Meta heuristics
Optimal placement of capacitors
Phase balancing
Primary feeder reconfiguration
Heuristic algorithms
Optimization
Voltage regulators
Fixed capacitors
Meta heuristics
Optimal placements
Phase balancing
Power distribution system
Primary feeder
Random search algorithm
Simple analysis
Group theory
Rights
restrictedAccess
License
http://creativecommons.org/licenses/by-nc-nd/4.0/
id UTB2_dbf0e45b82319182ce7a09d810dd2c90
oai_identifier_str oai:repositorio.utb.edu.co:20.500.12585/8861
network_acronym_str UTB2
network_name_str Repositorio Institucional UTB
repository_id_str
dc.title.none.fl_str_mv Group-Theory for the Analysis of Heuristic Algorithms in Power Distribution Systems
title Group-Theory for the Analysis of Heuristic Algorithms in Power Distribution Systems
spellingShingle Group-Theory for the Analysis of Heuristic Algorithms in Power Distribution Systems
Group theory
Meta heuristics
Optimal placement of capacitors
Phase balancing
Primary feeder reconfiguration
Heuristic algorithms
Optimization
Voltage regulators
Fixed capacitors
Meta heuristics
Optimal placements
Phase balancing
Power distribution system
Primary feeder
Random search algorithm
Simple analysis
Group theory
title_short Group-Theory for the Analysis of Heuristic Algorithms in Power Distribution Systems
title_full Group-Theory for the Analysis of Heuristic Algorithms in Power Distribution Systems
title_fullStr Group-Theory for the Analysis of Heuristic Algorithms in Power Distribution Systems
title_full_unstemmed Group-Theory for the Analysis of Heuristic Algorithms in Power Distribution Systems
title_sort Group-Theory for the Analysis of Heuristic Algorithms in Power Distribution Systems
dc.subject.keywords.none.fl_str_mv Group theory
Meta heuristics
Optimal placement of capacitors
Phase balancing
Primary feeder reconfiguration
Heuristic algorithms
Optimization
Voltage regulators
Fixed capacitors
Meta heuristics
Optimal placements
Phase balancing
Power distribution system
Primary feeder
Random search algorithm
Simple analysis
Group theory
topic Group theory
Meta heuristics
Optimal placement of capacitors
Phase balancing
Primary feeder reconfiguration
Heuristic algorithms
Optimization
Voltage regulators
Fixed capacitors
Meta heuristics
Optimal placements
Phase balancing
Power distribution system
Primary feeder
Random search algorithm
Simple analysis
Group theory
description This paper applies group theory to four classic problems in power distribution systems, namely: phase balancing, primary feeder reconfiguration, optimal tap setting of voltage regulator transformers and optimal placement of fixed capacitors. The main focus of the paper is in the codification and the use of groups as a tool for analysis. A simple random search algorithm is used as a test for the first problem. It is demonstrated that the groups formalism allows a simple analysis of heuristics and could be an interesting path for future investigations. © 2018 IEEE.
publishDate 2018
dc.date.issued.none.fl_str_mv 2018
dc.date.accessioned.none.fl_str_mv 2020-03-26T16:32:31Z
dc.date.available.none.fl_str_mv 2020-03-26T16:32:31Z
dc.type.coarversion.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
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dc.type.driver.none.fl_str_mv info:eu-repo/semantics/conferenceObject
dc.type.hasversion.none.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.spa.none.fl_str_mv Conferencia
status_str publishedVersion
dc.identifier.citation.none.fl_str_mv Proceedings of the 2018 IEEE PES Transmission and Distribution Conference and Exhibition - Latin America, T and D-LA 2018
dc.identifier.isbn.none.fl_str_mv 9781538658444
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12585/8861
dc.identifier.doi.none.fl_str_mv 10.1109/TDC-LA.2018.8511647
dc.identifier.instname.none.fl_str_mv Universidad Tecnológica de Bolívar
dc.identifier.reponame.none.fl_str_mv Repositorio UTB
dc.identifier.orcid.none.fl_str_mv 36449223500
57191493648
57204762094
56919564100
identifier_str_mv Proceedings of the 2018 IEEE PES Transmission and Distribution Conference and Exhibition - Latin America, T and D-LA 2018
9781538658444
10.1109/TDC-LA.2018.8511647
Universidad Tecnológica de Bolívar
Repositorio UTB
36449223500
57191493648
57204762094
56919564100
url https://hdl.handle.net/20.500.12585/8861
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.conferencedate.none.fl_str_mv 18 September 2018 through 21 September 2018
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_16ec
dc.rights.uri.none.fl_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.accessrights.none.fl_str_mv info:eu-repo/semantics/restrictedAccess
dc.rights.cc.none.fl_str_mv Atribución-NoComercial 4.0 Internacional
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
Atribución-NoComercial 4.0 Internacional
http://purl.org/coar/access_right/c_16ec
eu_rights_str_mv restrictedAccess
dc.format.medium.none.fl_str_mv Recurso electrónico
dc.format.mimetype.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers Inc.
publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers Inc.
dc.source.none.fl_str_mv https://www.scopus.com/inward/record.uri?eid=2-s2.0-85057038148&doi=10.1109%2fTDC-LA.2018.8511647&partnerID=40&md5=a2e215f0df089fb75c2e8ca683f6a6c7
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institution Universidad Tecnológica de Bolívar
dc.source.event.none.fl_str_mv 2018 IEEE PES Transmission and Distribution Conference and Exhibition - Latin America, T and D-LA
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spelling 2020-03-26T16:32:31Z2020-03-26T16:32:31Z2018Proceedings of the 2018 IEEE PES Transmission and Distribution Conference and Exhibition - Latin America, T and D-LA 20189781538658444https://hdl.handle.net/20.500.12585/886110.1109/TDC-LA.2018.8511647Universidad Tecnológica de BolívarRepositorio UTB36449223500571914936485720476209456919564100This paper applies group theory to four classic problems in power distribution systems, namely: phase balancing, primary feeder reconfiguration, optimal tap setting of voltage regulator transformers and optimal placement of fixed capacitors. The main focus of the paper is in the codification and the use of groups as a tool for analysis. A simple random search algorithm is used as a test for the first problem. It is demonstrated that the groups formalism allows a simple analysis of heuristics and could be an interesting path for future investigations. © 2018 IEEE.IEEE Peru Section;IEEE Power and Energy SocietyFINANCIAL SUPPORT This work was partially supported by the Master in Electrical Engineering of the Universidad Tecnológica de Pereira.Recurso electrónicoapplication/pdfengInstitute of Electrical and Electronics Engineers Inc.http://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/restrictedAccessAtribución-NoComercial 4.0 Internacionalhttp://purl.org/coar/access_right/c_16echttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85057038148&doi=10.1109%2fTDC-LA.2018.8511647&partnerID=40&md5=a2e215f0df089fb75c2e8ca683f6a6c7Scopus2-s2.0-850570381482018 IEEE PES Transmission and Distribution Conference and Exhibition - Latin America, T and D-LAGroup-Theory for the Analysis of Heuristic Algorithms in Power Distribution Systemsinfo:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionConferenciahttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_c94fGroup theoryMeta heuristicsOptimal placement of capacitorsPhase balancingPrimary feeder reconfigurationHeuristic algorithmsOptimizationVoltage regulatorsFixed capacitorsMeta heuristicsOptimal placementsPhase balancingPower distribution systemPrimary feederRandom search algorithmSimple analysisGroup theory18 September 2018 through 21 September 2018Garces A.Gil-González, WalterCastano J.Montoya O.D.Eremia, M., Liu, C.-C., Edris, A.-A., (2016) Heuristic Optimization Techniques, p. 1072. , http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7656787, Wiley-IEEE PressArmstrong, M., (1988) Groups and Symmetry, , SpringerKurzweil, H., Stellmacher, B., (2004) The Theory of Finite Groups: An Introduction, , SpringerZhu, J., Chow, M.-Y., Zhang, F., Phase balancing using mixed-integer programming [distribution feeders] (1998) IEEE Transactions on Power Systems, 13 (4), pp. 1487-1492. , NovWeckx, S., Driesen, J., Load balancing with ev chargers and pv inverters in unbalanced distribution grids (2015) IEEE Transactions on Sustainable Energy, 6 (2), pp. 635-643. , AprilTerorde, M., Wattar, H., Schulz, D., Phase balancing for aircraft electrical distribution systems (2015) IEEE Transactions on Aerospace and Electronic Systems, 51 (3), pp. 1781-1792. , JulyZhu, J., Bilbro, G., Chow, M.-Y., Phase balancing using simulated annealing (1999) IEEE Transactions on Power Systems, 14 (4), pp. 1508-1513. , NovSoltani, S., Rashidinejad, M., Abdollahi, A., Stochastic multiobjective distribution systems phase balancing considering distributed energy resources (2017) IEEE Systems Journal, 99, pp. 1-12Civanlar, S., Grainger, J.J., Yin, H., Lee, S.S.H., Distribution feeder reconfiguration for loss reduction (1988) IEEE Transactions on Power Delivery, 3 (3), pp. 1217-1223. , JulBaran, M.E., Wu, F.F., Network reconfiguration in distribution systems for loss reduction and load balancing (1989) IEEE Transactions on Power Delivery, 4 (2), pp. 1401-1407. , AprAhmadi, H., Marti, J.R., Distribution system optimization based on a linear power-flow formulation (2015) IEEE Transactions on Power Delivery, 30 (1), pp. 25-33. , FebLavorato, M., Franco, J.F., Rider, M.J., Romero, R., Imposing radiality constraints in distribution system optimization problems (2012) IEEE Transactions on Power Systems, 27 (1), pp. 172-180. , FebCarreno, E.M., Romero, R., Padilha-Feltrin, A., An efficient codification to solve distribution network reconfiguration for loss reduction problem (2008) IEEE Transactions on Power Systems, 23 (4), pp. 1542-1551. , NovSenjyu, T., Miyazato, Y., Yona, A., Urasaki, N., Funabashi, T., Optimal distribution voltage control and coordination with distributed generation (2008) IEEE Transactions on Power Delivery, 23 (2), pp. 1236-1242. , AprilElkhatib, M.E., Shatshat, R.E., Salama, M.M.A., Optimal control of voltage regulators for multiple feeders (2010) IEEE Transactions on Power Delivery, 25 (4), pp. 2670-2675. , OctCarlisle, J.C., El-Keib, A.A., A graph search algorithm for optimal placement of fixed and switched capacitors on radial distribution systems (2000) IEEE Transactions on Power Delivery, 15 (1), pp. 423-428. , JanEl-Fergany, A.A., Abdelaziz, A.Y., Capacitor allocations in radial distribution networks using cuckoo search algorithm (2014) IET Generation, Transmission Distribution, 8 (2), pp. 223-232. , FebruarySpall, J.C., (2003) Introduction to Stochastic Search Optimization: Estimation, Simulation and Control, , Wiley-intersciencehttp://purl.org/coar/resource_type/c_c94fTHUMBNAILMiniProdInv.pngMiniProdInv.pngimage/png23941https://repositorio.utb.edu.co/bitstream/20.500.12585/8861/1/MiniProdInv.png0cb0f101a8d16897fb46fc914d3d7043MD5120.500.12585/8861oai:repositorio.utb.edu.co:20.500.12585/88612023-05-26 10:23:16.824Repositorio Institucional UTBrepositorioutb@utb.edu.co