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Bidding and optimization strategies for wind-PV systems in electricity markets assisted by CPS

2016Conference object Open access
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dc.contributor.authorGomes, I. L. R.
dc.contributor.authorPousinho, H. M. I.
dc.contributor.authorMelício, R.
dc.contributor.authorMendes, Victor
dc.date.accessioned2017-03-14T13:19:24Z
dc.date.available2017-03-14T13:19:24Z
dc.date.issued2016
dc.description.abstractThe variability in non-dispatchable power generation raises important challenges to the integration of renewable energy sources into the electricity power grid. This paper provides the coordinated trading of wind and photovoltaic energy assisted by a cyber-physical system for supporting management decisions to mitigate risks due to the wind and solar power variability, electricity prices, and financial penalties arising out the generation shortfall and surplus. The problem of wind-photovoltaic coordinated trading is formulated as a stochastic linear programming problem. The goal is to obtain the optimal bidding strategy that maximizes the total profit. The wind-photovoltaic coordinated operation is modelled and compared with the uncoordinated operation. A comparison of the models and relevant conclusions are drawn from an illustrative case study of the Iberian day-ahead electricity market. (C) 2016 The Authors. Published by Elsevier Ltd.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationGOMES, I. L. R.; [et al] – Bidding and optimization strategies for wind-PV systems in electricity markets assisted by CPS. In 1st Energy Economics Iberian Conference (EEIC). Lisbon, Portugal. Energy Procedia: Elsevier, 2016. ISSN 1876-6102. http://ac.els-cdn.com/S1876610216316678/1-s2.0-S1876610216316678-main.pdf?_tid=93251192-08b7-11e7-9e8c-00000aacb362&acdnat=1489497199_addf2b15410b7ff27e2a0f023fa01c50. Vol. 106/Pp. 111-121pt_PT
dc.identifier.doi10.1016/j.egypro.2016.12.109pt_PT
dc.identifier.issn1876-6102
dc.identifier.urihttp://hdl.handle.net/10400.21/6856
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherElsevierpt_PT
dc.relation.publisherversionhttp://ac.els-cdn.com/S1876610216316678/1-s2.0-S1876610216316678-main.pdf?_tid=93251192-08b7-11e7-9e8c-00000aacb362&acdnat=1489497199_addf2b15410b7ff27e2a0f023fa01c50pt_PT
dc.subjectcoordinated bidding strategiespt_PT
dc.subjectwind-PV power systempt_PT
dc.subjectlinear programmingpt_PT
dc.subjectday-ahead marketpt_PT
dc.titleBidding and optimization strategies for wind-PV systems in electricity markets assisted by CPSpt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.endPage121pt_PT
oaire.citation.startPage111pt_PT
oaire.citation.titleEnergy Procediapt_PT
oaire.citation.volume106pt_PT
person.familyNameMendes
person.givenNameVictor
person.identifier.orcid0000-0002-4599-477X
person.identifier.ridD-2332-2012
person.identifier.scopus-author-id55138675600
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublicationa86b9291-f23c-4f09-83d7-9ee691696705
relation.isAuthorOfPublication.latestForDiscoverya86b9291-f23c-4f09-83d7-9ee691696705

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ISEL - Eng. Electrotécn. - Comunicações