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Impact of load and generation price uncertainties in spot prices

2009-06Conference paper Open access
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datacite.subject.fosEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
datacite.subject.fosEngenharia e Tecnologia::Outras Engenharias e Tecnologias
datacite.subject.sdg07:Energias Renováveis e Acessíveis
datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
datacite.subject.sdg11:Cidades e Comunidades Sustentáveis
dc.contributor.authorGomes, Bruno A.
dc.contributor.authorSaraiva, João T.
dc.contributor.authorPires Neves, Luís
dc.date.accessioned2025-06-11T13:45:21Z
dc.date.available2025-06-11T13:45:21Z
dc.date.issued2009-06
dc.descriptionPaper accepted for presentation at 2009 IEEE Bucharest Power Tech Conference, June 28th - July 2nd, Bucharest, Romania. Article number 5282148 - 2009 IEEE Bucharest PowerTech: Innovative Ideas Toward the Electrical Grid of the Future; Bucharest; Romania; 28 June 2009 through 2 July 2009; Category number CFP09815-CDR; Code 78575
dc.description.abstractIn this paper it is presented a formulation for the DC Optimal Power Flow problem considering load and generation cost uncertainties and the corresponding solution algorithms. The paper also details the algorithms implemented to allow the integration of losses on the results as well the algorithm developed to compute the nodal marginal price in the presence of such uncertainties. Since loads and generation costs are represented by fuzzy numbers, nodal marginal prices are no longer represented by deterministic values, but instead, by membership functions. To illustrate the application of the proposed algorithms, this paper also includes results based on a small 3 bus system and on the IEEE 24 bus/38 branch test system.eng
dc.description.sponsorshipThis work was supported by the Fundação para a Ciência e Tecnologia through the PhD grant nº SFRH/BD/34314/2006.
dc.identifier.citationB. A. Gomes, J. T. Saraiva and L. M. Neves, "Impact of load and generation price uncertainties in spot prices," 2009 IEEE Bucharest PowerTech, Bucharest, Romania, 2009, pp. 1-6, doi: https://doi.org/10.1109/PTC.2009.5282148.
dc.identifier.doi10.1109/ptc.2009.5282148
dc.identifier.isbn978-1-4244-2234-0
dc.identifier.urihttp://hdl.handle.net/10400.8/13196
dc.language.isoeng
dc.peerreviewedyes
dc.publisherIEEE Canada
dc.relationMODELIZAÇÃO DE INCERTEZAS NOS CUSTOS DE PROD. E NAS POT. PRODUZIDAS E DE CARGA EM MECANISMOS DE MERCADO E NO CÁLCULO DE PREÇOS MARGINAIS NODAIS EM SISTEMAS ELÉCTRICOS DE ENERGIA
dc.relation.hasversionhttps://ieeexplore.ieee.org/document/5282148
dc.relation.ispartof2009 IEEE Bucharest PowerTech
dc.rights.uriN/A
dc.subjectUncertainties
dc.subjectfuzzy models
dc.subjectDC optimal power flow
dc.subjectmultiparametric programming
dc.subjectnodal marginal prices
dc.titleImpact of load and generation price uncertainties in spot priceseng
dc.typeconference paper
dspace.entity.typePublication
oaire.awardTitleMODELIZAÇÃO DE INCERTEZAS NOS CUSTOS DE PROD. E NAS POT. PRODUZIDAS E DE CARGA EM MECANISMOS DE MERCADO E NO CÁLCULO DE PREÇOS MARGINAIS NODAIS EM SISTEMAS ELÉCTRICOS DE ENERGIA
oaire.awardURIhttp://hdl.handle.net/10400.8/12940
oaire.citation.conferenceDate2009-06
oaire.citation.conferencePlaceBucharest, Romania
oaire.citation.endPage6
oaire.citation.startPage1
oaire.citation.title2009 IEEE Bucharest PowerTech: Innovative Ideas Toward the Electrical Grid of the Future
oaire.fundingStreamPIDDAC
oaire.versionhttp://purl.org/coar/version/c_b1a7d7d4d402bcce
person.familyNamePires Neves
person.givenNameLuís
person.identifier.ciencia-id591E-30D4-2C97
person.identifier.orcid0000-0002-2600-5622
person.identifier.scopus-author-id34977315800
relation.isAuthorOfPublication5315d446-6d51-4d95-aeaa-72b6a44a4838
relation.isAuthorOfPublication.latestForDiscovery5315d446-6d51-4d95-aeaa-72b6a44a4838
relation.isProjectOfPublication0b20a448-cf39-42e7-9676-90a3581e3b2b
relation.isProjectOfPublication.latestForDiscovery0b20a448-cf39-42e7-9676-90a3581e3b2b

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In this paper it is presented a formulation for the DC Optimal Power Flow problem considering load and generation cost uncertainties and the corresponding solution algorithms. The paper also details the algorithms implemented to allow the integration of losses on the results as well the algorithm developed to compute the nodal marginal price in the presence of such uncertainties. Since loads and generation costs are represented by fuzzy numbers, nodal marginal prices are no longer represented by deterministic values, but instead, by membership functions. To illustrate the application of the proposed algorithms, this paper also includes results based on a small 3 bus system and on the IEEE 24 bus/38 branch test system.
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