Short-term planning of electric power distribution networks using multiobjective genetic algorithim
Autor(a) principal: | |
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Data de Publicação: | 2011 |
Outros Autores: | , |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.2316/P.2011.756-050 http://hdl.handle.net/11449/72897 |
Resumo: | The high active and reactive power level demanded by the distribution systems, the growth of consuming centers, and the long lines of the distribution systems result in voltage variations in the busses compromising the quality of energy supplied. To ensure the energy quality supplied in the distribution system short-term planning, some devices and actions are used to implement an effective control of voltage, reactive power, and power factor of the network. Among these devices and actions are the voltage regulators (VRs) and capacitor banks (CBs), as well as exchanging the conductors sizes of distribution lines. This paper presents a methodology based on the Non-Dominated Sorting Genetic Algorithm (NSGA-II) for optimized allocation of VRs, CBs, and exchange of conductors in radial distribution systems. The Multiobjective Genetic Algorithm (MGA) is aided by an inference process developed using fuzzy logic, which applies specialized knowledge to achieve the reduction of the search space for the allocation of CBs and VRs. |
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Short-term planning of electric power distribution networks using multiobjective genetic algorithimCapacitor BanksMultiobjective Genetic AlgorithmPower Distribution PlanningVoltage RegulatorsCapacitor bankDistribution linesDistribution systemsEnergy qualityInference processLong lineMulti objectiveMulti-objective genetic algorithmNon-dominated sorting genetic algorithmsNSGA-IIOptimized allocationPower distribution planningPower factorsRadial distribution systemsSearch spacesShort term planningSpecialized knowledgeVoltage variationCapacitorsElectric circuit breakersElectric power distributionElectric power factorFuzzy logicGenetic algorithmsReactive powerVoltage regulatorsLocal area networksThe high active and reactive power level demanded by the distribution systems, the growth of consuming centers, and the long lines of the distribution systems result in voltage variations in the busses compromising the quality of energy supplied. To ensure the energy quality supplied in the distribution system short-term planning, some devices and actions are used to implement an effective control of voltage, reactive power, and power factor of the network. Among these devices and actions are the voltage regulators (VRs) and capacitor banks (CBs), as well as exchanging the conductors sizes of distribution lines. This paper presents a methodology based on the Non-Dominated Sorting Genetic Algorithm (NSGA-II) for optimized allocation of VRs, CBs, and exchange of conductors in radial distribution systems. The Multiobjective Genetic Algorithm (MGA) is aided by an inference process developed using fuzzy logic, which applies specialized knowledge to achieve the reduction of the search space for the allocation of CBs and VRs.São Paulo State University - UNESP, Ilha SolteiraSão Paulo State University - UNESP, Ilha SolteiraUniversidade Estadual Paulista (Unesp)Pereira Jr., Benvindo [UNESP]Cossi, Antonio [UNESP]Mantovani, José Roberto [UNESP]2014-05-27T11:26:15Z2014-05-27T11:26:15Z2011-12-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject28-35http://dx.doi.org/10.2316/P.2011.756-050Proceedings of the IASTED International Conference on Power and Energy Systems and Applications, PESA 2011, p. 28-35.http://hdl.handle.net/11449/7289710.2316/P.2011.756-0502-s2.0-84856561397Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengProceedings of the IASTED International Conference on Power and Energy Systems and Applications, PESA 2011info:eu-repo/semantics/openAccess2024-07-04T19:11:33Zoai:repositorio.unesp.br:11449/72897Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T17:44:33.125533Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Short-term planning of electric power distribution networks using multiobjective genetic algorithim |
title |
Short-term planning of electric power distribution networks using multiobjective genetic algorithim |
spellingShingle |
Short-term planning of electric power distribution networks using multiobjective genetic algorithim Pereira Jr., Benvindo [UNESP] Capacitor Banks Multiobjective Genetic Algorithm Power Distribution Planning Voltage Regulators Capacitor bank Distribution lines Distribution systems Energy quality Inference process Long line Multi objective Multi-objective genetic algorithm Non-dominated sorting genetic algorithms NSGA-II Optimized allocation Power distribution planning Power factors Radial distribution systems Search spaces Short term planning Specialized knowledge Voltage variation Capacitors Electric circuit breakers Electric power distribution Electric power factor Fuzzy logic Genetic algorithms Reactive power Voltage regulators Local area networks |
title_short |
Short-term planning of electric power distribution networks using multiobjective genetic algorithim |
title_full |
Short-term planning of electric power distribution networks using multiobjective genetic algorithim |
title_fullStr |
Short-term planning of electric power distribution networks using multiobjective genetic algorithim |
title_full_unstemmed |
Short-term planning of electric power distribution networks using multiobjective genetic algorithim |
title_sort |
Short-term planning of electric power distribution networks using multiobjective genetic algorithim |
author |
Pereira Jr., Benvindo [UNESP] |
author_facet |
Pereira Jr., Benvindo [UNESP] Cossi, Antonio [UNESP] Mantovani, José Roberto [UNESP] |
author_role |
author |
author2 |
Cossi, Antonio [UNESP] Mantovani, José Roberto [UNESP] |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Pereira Jr., Benvindo [UNESP] Cossi, Antonio [UNESP] Mantovani, José Roberto [UNESP] |
dc.subject.por.fl_str_mv |
Capacitor Banks Multiobjective Genetic Algorithm Power Distribution Planning Voltage Regulators Capacitor bank Distribution lines Distribution systems Energy quality Inference process Long line Multi objective Multi-objective genetic algorithm Non-dominated sorting genetic algorithms NSGA-II Optimized allocation Power distribution planning Power factors Radial distribution systems Search spaces Short term planning Specialized knowledge Voltage variation Capacitors Electric circuit breakers Electric power distribution Electric power factor Fuzzy logic Genetic algorithms Reactive power Voltage regulators Local area networks |
topic |
Capacitor Banks Multiobjective Genetic Algorithm Power Distribution Planning Voltage Regulators Capacitor bank Distribution lines Distribution systems Energy quality Inference process Long line Multi objective Multi-objective genetic algorithm Non-dominated sorting genetic algorithms NSGA-II Optimized allocation Power distribution planning Power factors Radial distribution systems Search spaces Short term planning Specialized knowledge Voltage variation Capacitors Electric circuit breakers Electric power distribution Electric power factor Fuzzy logic Genetic algorithms Reactive power Voltage regulators Local area networks |
description |
The high active and reactive power level demanded by the distribution systems, the growth of consuming centers, and the long lines of the distribution systems result in voltage variations in the busses compromising the quality of energy supplied. To ensure the energy quality supplied in the distribution system short-term planning, some devices and actions are used to implement an effective control of voltage, reactive power, and power factor of the network. Among these devices and actions are the voltage regulators (VRs) and capacitor banks (CBs), as well as exchanging the conductors sizes of distribution lines. This paper presents a methodology based on the Non-Dominated Sorting Genetic Algorithm (NSGA-II) for optimized allocation of VRs, CBs, and exchange of conductors in radial distribution systems. The Multiobjective Genetic Algorithm (MGA) is aided by an inference process developed using fuzzy logic, which applies specialized knowledge to achieve the reduction of the search space for the allocation of CBs and VRs. |
publishDate |
2011 |
dc.date.none.fl_str_mv |
2011-12-01 2014-05-27T11:26:15Z 2014-05-27T11:26:15Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.2316/P.2011.756-050 Proceedings of the IASTED International Conference on Power and Energy Systems and Applications, PESA 2011, p. 28-35. http://hdl.handle.net/11449/72897 10.2316/P.2011.756-050 2-s2.0-84856561397 |
url |
http://dx.doi.org/10.2316/P.2011.756-050 http://hdl.handle.net/11449/72897 |
identifier_str_mv |
Proceedings of the IASTED International Conference on Power and Energy Systems and Applications, PESA 2011, p. 28-35. 10.2316/P.2011.756-050 2-s2.0-84856561397 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Proceedings of the IASTED International Conference on Power and Energy Systems and Applications, PESA 2011 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
28-35 |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808128851945979904 |