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Comparing wind generation profiles: a circular data approach

2015-05-19Journal article Restricted access
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dc.contributor.authorMartins, Ana Alexandra
dc.contributor.authorCarvalho, Alda
dc.contributor.authorSousa, Jorge A. M.
dc.date.accessioned2016-05-16T09:00:30Z
dc.date.available2016-05-16T09:00:30Z
dc.date.issued2015-05-19
dc.description.abstractThe importance of wind power energy for energy and environmental policies has been growing in past recent years. However, because of its random nature over time, the wind generation cannot be reliable dispatched and perfectly forecasted, becoming a challenge when integrating this production in power systems. In addition the wind energy has to cope with the diversity of production resulting from alternative wind power profiles located in different regions. In 2012, Portugal presented a cumulative installed capacity distributed over 223 wind farms [1]. In this work the circular data statistical methods are used to analyze and compare alternative spatial wind generation profiles. Variables indicating extreme situations are analyzed. The hour (s) of the day where the farm production attains its maximum daily production is considered. This variable was converted into circular variable, and the use of circular statistics enables to identify the daily hour distribution for different wind production profiles. This methodology was applied to a real case, considering data from the Portuguese power system regarding the year 2012 with a 15-minutes interval. Six geographical locations were considered, representing different wind generation profiles in the Portuguese system.In this work the circular data statistical methods are used to analyze and compare alternative spatial wind generation profiles. Variables indicating extreme situations are analyzed. The hour (s) of the day where the farm production attains its maximum daily production is considered. This variable was converted into circular variable, and the use of circular statistics enables to identify the daily hour distribution for different wind production profiles. This methodology was applied to a real case, considering data from the Portuguese power system regarding the year 2012 with a 15-minutes interval. Six geographical locations were considered, representing different wind generation profiles in the Portuguese system.pt_PT
dc.identifier.citationMARTINS, Ana Alexandra Antunes Figueiredo; CARVALHO, Alda Cristina Jesus Valentim Nunes de; SOUSA, Jorge Alberto Mendes de - Comparing wind generation profiles: A circular data approach. In 12th International Conference on the European Energy Market. Lisbon, Portugal: IEEE, 2015. ISBN. 978-1-4673-6692-2/15. Pp. 1-5.pt_PT
dc.identifier.doi10.1109/EEM.2015.7216766pt_PT
dc.identifier.isbn978-1-4673-6692-2/15
dc.identifier.issn2165-4077
dc.identifier.urihttp://hdl.handle.net/10400.21/6187
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherIEEEpt_PT
dc.relation.publisherversionhttp://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7216766&tag=1pt_PT
dc.subjectRenewable generationpt_PT
dc.subjectCircular statisticspt_PT
dc.subjectWind power generationpt_PT
dc.titleComparing wind generation profiles: a circular data approachpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.conferencePlaceLisboapt_PT
oaire.citation.endPage5pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titleEEM 2015, 12th International Conference on the European Energy Marketpt_PT
person.familyNameMartins
person.familyNameCarvalho
person.familyNameSousa
person.givenNameAna Alexandra
person.givenNameAlda
person.givenNameJorge A. M.
person.identifier2750231
person.identifier.ciencia-id2016-88BF-5D0B
person.identifier.ciencia-idFD18-CBDD-B7C7
person.identifier.ciencia-idF816-08E3-B045
person.identifier.orcid0000-0003-3733-6619
person.identifier.orcid0000-0003-2642-4947
person.identifier.orcid0000-0002-1110-6586
person.identifier.ridM-1020-2015
person.identifier.scopus-author-id34969159800
person.identifier.scopus-author-id25027091800
person.identifier.scopus-author-id55940825700
rcaap.rightsclosedAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication7174415b-4387-4cc9-97b0-6c2a3e0c88b4
relation.isAuthorOfPublication214fa21c-bca0-4769-99b0-5f1239d2ea41
relation.isAuthorOfPublication69325e43-1f4e-4c1c-8c69-159ac3f93066
relation.isAuthorOfPublication.latestForDiscovery69325e43-1f4e-4c1c-8c69-159ac3f93066

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