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Wind power with energy storage arbitrage in day-ahead market by a stochastic MILP approach

2020-08Journal article Restricted access
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dc.contributor.authorGomes, Isaías
dc.contributor.authorMelício, R.
dc.contributor.authorMendes, Victor
dc.contributor.authorPousinho, H. M. I.
dc.date.accessioned2021-01-19T10:39:17Z
dc.date.available2021-01-19T10:39:17Z
dc.date.issued2020-08
dc.description.abstractThis paper is about a support information management system for a wind power (WP) producer having an energy storage system (ESS) and participating in a day-ahead electricity market. Energy storage can play not only a leading role in mitigation of the effect of uncertainty faced by a WP producer, but also allow for conversion of wind energy into electric energy to be stored and then released at favourable hours. This storage provides capability for arbitrage, allowing an increase on profit of a WP producer, but must be supported by a convenient problem formulation. The formulation proposed for the support information management system is based on an approach of stochasticity written as a mixed integer linear programming problem. WP and market prices are considered as stochastic processes represented by a set of scenarios. The charging/discharging of the ESS are considered dependent on scenarios of market prices and on scenarios of WP. The effectiveness of the proposed formulation is tested by comparison of case studies using data from the Iberian Electricity Market. The comparison is in favour of the proposed consideration of stochasticity.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationGOMES, Isaias L. R.; [et al] – Wind power with energy storage arbitrage in day-ahead market by a stochastic MILP approach. Logic Journal of the IGPL. ISSN 1367-0751. Vol. 28, N.º 4 (2020), pp. 570-582pt_PT
dc.identifier.doi10.1093/jigpal/jzz054pt_PT
dc.identifier.eissn1368-9894
dc.identifier.issn1367-0751
dc.identifier.urihttp://hdl.handle.net/10400.21/12642
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherOxford Univ. Presspt_PT
dc.relationUID/GEO/04683/2019 - European Union (EU)pt_PT
dc.relationPOCI010145FEDER007690 - European Union (EU)pt_PT
dc.relationUID/EEA/04131/2019 - FCTpt_PT
dc.relationUID/EMS/50022/2019 - FCT, through IDMECpt_PT
dc.relation.publisherversionhttp://dspace.uevora.pt/rdpc/bitstream/10174/26335/1/jzz054.pdfpt_PT
dc.subjectElectricity marketspt_PT
dc.subjectEnergy storagept_PT
dc.subjectMixed integer linear programmingpt_PT
dc.subjectStochastic optimizationpt_PT
dc.subjectWind powerpt_PT
dc.titleWind power with energy storage arbitrage in day-ahead market by a stochastic MILP approachpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage582pt_PT
oaire.citation.issue4pt_PT
oaire.citation.startPage570pt_PT
oaire.citation.titleLogic Journal of the IGPLpt_PT
oaire.citation.volume28pt_PT
person.familyNameGomes
person.familyNameMendes
person.givenNameIsaías
person.givenNameVictor
person.identifier.ciencia-id9A16-51D0-5AF9
person.identifier.orcid0000-0003-3110-6644
person.identifier.orcid0000-0002-4599-477X
person.identifier.ridD-2332-2012
person.identifier.scopus-author-id57188648074
person.identifier.scopus-author-id55138675600
rcaap.rightsclosedAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication104a0c6b-46e6-423f-8fe8-3edc1a2406dc
relation.isAuthorOfPublicationa86b9291-f23c-4f09-83d7-9ee691696705
relation.isAuthorOfPublication.latestForDiscovery104a0c6b-46e6-423f-8fe8-3edc1a2406dc

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