Short-term planning of electric power distribution networks using multiobjective genetic algorithim

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dc.contributor.authorPereira Jr., Benvindo [UNESP]
dc.contributor.authorCossi, Antonio [UNESP]
dc.contributor.authorMantovani, José Roberto [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-05-27T11:26:15Z
dc.date.available2014-05-27T11:26:15Z
dc.date.issued2011-12-01
dc.description.abstractThe 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.en
dc.description.affiliationSão Paulo State University - UNESP, Ilha Solteira
dc.description.affiliationUnespSão Paulo State University - UNESP, Ilha Solteira
dc.format.extent28-35
dc.identifierhttp://dx.doi.org/10.2316/P.2011.756-050
dc.identifier.citationProceedings of the IASTED International Conference on Power and Energy Systems and Applications, PESA 2011, p. 28-35.
dc.identifier.doi10.2316/P.2011.756-050
dc.identifier.scopus2-s2.0-84856561397
dc.identifier.urihttp://hdl.handle.net/11449/72897
dc.language.isoeng
dc.relation.ispartofProceedings of the IASTED International Conference on Power and Energy Systems and Applications, PESA 2011
dc.rights.accessRightsAcesso aberto
dc.sourceScopus
dc.subjectCapacitor Banks
dc.subjectMultiobjective Genetic Algorithm
dc.subjectPower Distribution Planning
dc.subjectVoltage Regulators
dc.subjectCapacitor bank
dc.subjectDistribution lines
dc.subjectDistribution systems
dc.subjectEnergy quality
dc.subjectInference process
dc.subjectLong line
dc.subjectMulti objective
dc.subjectMulti-objective genetic algorithm
dc.subjectNon-dominated sorting genetic algorithms
dc.subjectNSGA-II
dc.subjectOptimized allocation
dc.subjectPower distribution planning
dc.subjectPower factors
dc.subjectRadial distribution systems
dc.subjectSearch spaces
dc.subjectShort term planning
dc.subjectSpecialized knowledge
dc.subjectVoltage variation
dc.subjectCapacitors
dc.subjectElectric circuit breakers
dc.subjectElectric power distribution
dc.subjectElectric power factor
dc.subjectFuzzy logic
dc.subjectGenetic algorithms
dc.subjectReactive power
dc.subjectVoltage regulators
dc.subjectLocal area networks
dc.titleShort-term planning of electric power distribution networks using multiobjective genetic algorithimen
dc.typeTrabalho apresentado em evento
dcterms.licensehttp://www.actapress.com/privacy.aspx#copyrighttitle
unesp.author.lattes0899728893178335[2]
unesp.author.orcid0000-0003-1005-6246[2]
unesp.campusUniversidade Estadual Paulista (Unesp), Faculdade de Engenharia, Ilha Solteirapt

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