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Optimizing the renewable generation mix in the portuguese power system based on temporal and spatial diversity

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dc.contributor.authorPereira, João Venceslau
dc.contributor.authorFerreira, Rúben Aires Fonseca Paz
dc.contributor.authorSousa, Jorge A. M.
dc.contributor.authorLagarto, João
dc.contributor.authorMartins, Ana Alexandra
dc.date.accessioned2015-08-20T14:45:27Z
dc.date.available2015-08-20T14:45:27Z
dc.date.issued2014
dc.description.abstractRenewable energy sources (RES) have unique characteristics that grant them preference in energy and environmental policies. However, considering that the renewable resources are barely controllable and sometimes unpredictable, some challenges are faced when integrating high shares of renewable sources in power systems. In order to mitigate this problem, this paper presents a decision-making methodology regarding renewable investments. The model computes the optimal renewable generation mix from different available technologies (hydro, wind and photovoltaic) that integrates a given share of renewable sources, minimizing residual demand variability, therefore stabilizing the thermal power generation. The model also includes a spatial optimization of wind farms in order to identify the best distribution of wind capacity. This methodology is applied to the Portuguese power system.por
dc.identifier.citationPEREIRA, João Venceslau; [et al] – Optimizing the renewable generation mix in the portuguese power system based on temporal and spatial diversity. In International Conference on the European Energy Market. New York : IEEE - Institute of Electrical and Electronics Engineers Inc., 2014. ISSN: 2165-4077. P. 1-5.por
dc.identifier.doi10.1109/EEM.2014.6861292
dc.identifier.isbn978-1-4799-6095-8
dc.identifier.issn2165-4077
dc.identifier.urihttp://hdl.handle.net/10400.21/4887
dc.language.isoengen
dc.peerreviewedyespor
dc.publisherIEEE - Institute of Electrical and Electronics Engineers Inc.por
dc.subjectRenewable generation mixpor
dc.subjectLarge-scale integrationpor
dc.subjectPower systemspor
dc.subjectTemporal and spatial analysispor
dc.subjectWind powerpor
dc.titleOptimizing the renewable generation mix in the portuguese power system based on temporal and spatial diversitypor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceNew Yorkpor
oaire.citation.endPage5por
oaire.citation.startPage1por
oaire.citation.titleInternational Conference on the European Energy Marketpor
person.familyNameSousa
person.familyNameLagarto
person.familyNameMartins
person.givenNameJorge A. M.
person.givenNameJoão
person.givenNameAna Alexandra
person.identifier2750231
person.identifier.ciencia-idF816-08E3-B045
person.identifier.ciencia-id0512-2920-3C9E
person.identifier.ciencia-id2016-88BF-5D0B
person.identifier.orcid0000-0002-1110-6586
person.identifier.orcid0000-0002-7047-6210
person.identifier.orcid0000-0003-3733-6619
person.identifier.ridM-1020-2015
person.identifier.scopus-author-id55940825700
person.identifier.scopus-author-id24758947600
person.identifier.scopus-author-id34969159800
rcaap.rightsclosedAccesspor
rcaap.typeconferenceObjectpor
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relation.isAuthorOfPublication174bfcee-266b-483c-bc13-f187a886014d
relation.isAuthorOfPublication7174415b-4387-4cc9-97b0-6c2a3e0c88b4
relation.isAuthorOfPublication.latestForDiscovery69325e43-1f4e-4c1c-8c69-159ac3f93066

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