Time-series-based maximization of distributed wind power generation integration

dc.contributor.authorOchoa, Luis F.
dc.contributor.authorPadilha-Feltrin, Antonio [UNESP]
dc.contributor.authorHarrison, Gareth P.
dc.contributor.institutionUniv Edinburgh
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-05-20T13:29:13Z
dc.date.available2014-05-20T13:29:13Z
dc.date.issued2008-09-01
dc.description.abstractEnergy policies and technological progress in the development of wind turbines have made wind power the fastest growing renewable power source worldwide. The inherent variability of this resource requires special attention when analyzing the impacts of high penetration on the distribution network. A time-series steady-state analysis is proposed that assesses technical issues such as energy export, losses, and short-circuit levels. A multiobjective programming approach based on the nondominated sorting genetic algorithm (NSGA) is applied in order to find configurations that maximize the integration of distributed wind power generation (DWPG) while satisfying voltage and thermal limits. The approach has been applied to a medium voltage distribution network considering hourly demand and wind profiles for part of the U.K. The Pareto optimal solutions obtained highlight the drawbacks of using a single demand and generation scenario, and indicate the importance of appropriate substation voltage settings for maximizing the connection of MPG.en
dc.description.affiliationUniv Edinburgh, Inst Energy Syst, Sch Engn & Elect, Edinburgh EH9 3JL, Midlothian, Scotland
dc.description.affiliationSão Paulo State Univ, Dept Elect Engn, UNESP, BR-15385000 Ilha Solteira, Brazil
dc.description.affiliationUnespSão Paulo State Univ, Dept Elect Engn, UNESP, BR-15385000 Ilha Solteira, Brazil
dc.format.extent968-974
dc.identifierhttp://dx.doi.org/10.1109/TEC.2007.914180
dc.identifier.citationIEEE Transactions on Energy Conversion. Piscataway: IEEE-Inst Electrical Electronics Engineers Inc, v. 23, n. 3, p. 968-974, 2008.
dc.identifier.doi10.1109/TEC.2007.914180
dc.identifier.issn0885-8969
dc.identifier.urihttp://hdl.handle.net/11449/9836
dc.identifier.wosWOS:000258820200028
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartofIEEE Transactions on Energy Conversion
dc.relation.ispartofjcr3.767
dc.relation.ispartofsjr1,377
dc.rights.accessRightsAcesso restrito
dc.sourceWeb of Science
dc.subjectdistributed generation (DG)en
dc.subjectdistribution networksen
dc.subjectmultiobjective programmingen
dc.subjectPareto's optimalityen
dc.subjectwind poweren
dc.titleTime-series-based maximization of distributed wind power generation integrationen
dc.typeArtigo
dcterms.licensehttp://www.ieee.org/publications_standards/publications/rights/rights_policies.html
dcterms.rightsHolderIEEE-Inst Electrical Electronics Engineers Inc
unesp.author.lattes3886842168147059[2]
unesp.author.orcid0000-0001-6495-440X[2]
unesp.campusUniversidade Estadual Paulista (Unesp), Faculdade de Engenharia, Ilha Solteirapt
unesp.departmentEngenharia Elétrica - FEISpt

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