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Computation of nodal marginal prices in the presence of load and generation cost Uncertainties

2009-05Conference paper Restricted access
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dc.contributor.authorGomes, B.A.
dc.contributor.authorTomé Saraiva, João
dc.contributor.authorNeves, L.M.P.
dc.date.accessioned2025-06-06T15:40:58Z
dc.date.available2025-06-06T15:40:58Z
dc.date.issued2009-05
dc.descriptionArticle number 52072192009 6th International Conference on the European Energy Market, EEM 2009, 27 May 2009 through 29 May 2009 - Code 78380
dc.description.abstractMarginal prices have been recognized as the core approach to the economic evaluation of generation and transmission services in an electricity market environment. In this context, this paper presents the New Fuzzy Optimal Power Flow algorithm as a model to addresses the impact of load and generation cost uncertainties in nodal marginal prices. Since loads and generation costs are represented by fuzzy numbers, nodal marginal prices will no longer be represented by deterministic values, but rather by fuzzy membership functions reflecting the specified uncertainties. The paper also presents the algorithm used for the integration of the transmission losses effect on the results. Since the proposed algorithm uses multiparametric programming techniques, it contributes to characterize in a better way the system behavior. Finally, it includes results based on the IEEE 24 bus/38 branch test system to illustrate the proposed approach.eng
dc.description.sponsorshipThe first author thanks Fundação para a Ciência e Tecnologia, FCT, that funded this research through the PhD grant n.º SFRHlBD/34314/2006.
dc.identifier.citationB. A. Gomes, J. T. Saraiva and L. Neves, "Computation of nodal marginal prices in the presence of load and generation cost Uncertainties," 2009 6th International Conference on the European Energy Market, Leuven, Belgium, 2009, pp. 1-6, doi: https://doi.org/10.1109/EEM.2009.5207219.
dc.identifier.doi10.1109/eem.2009.5207219
dc.identifier.eissn2165-4093
dc.identifier.issn2165-4077
dc.identifier.urihttp://hdl.handle.net/10400.8/13174
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/5207219
dc.relation.ispartof2009 6th International Conference on the European Energy Market
dc.rights.uriN/A
dc.subjectUncertainties
dc.subjectfuzzy models
dc.subjectmultiparametric programming
dc.subjectnodal marginal prices
dc.titleComputation of nodal marginal prices in the presence of load and generation cost Uncertaintieseng
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.conferenceDate2009-05
oaire.citation.conferencePlaceLeuven, Belgium
oaire.citation.titleInternational Conference on European Electricity Market, EEM
oaire.fundingStreamPIDDAC
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameTomé Saraiva
person.familyNamePires Neves
person.givenNameJoão
person.givenNameLuís
person.identifier.ciencia-id591E-30D4-2C97
person.identifier.orcid0000-0001-7672-3369
person.identifier.orcid0000-0002-2600-5622
person.identifier.scopus-author-id34977315800
relation.isAuthorOfPublicationc636b565-f2fe-4b53-a5ae-f17a84bb1086
relation.isAuthorOfPublication5315d446-6d51-4d95-aeaa-72b6a44a4838
relation.isAuthorOfPublication.latestForDiscoveryc636b565-f2fe-4b53-a5ae-f17a84bb1086
relation.isProjectOfPublication0b20a448-cf39-42e7-9676-90a3581e3b2b
relation.isProjectOfPublication.latestForDiscovery0b20a448-cf39-42e7-9676-90a3581e3b2b

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Marginal prices have been recognized as the core approach to the economic evaluation of generation and transmission services in an electricity market environment. In this context, this paper presents the New Fuzzy Optimal Power Flow algorithm as a model to addresses the impact of load and generation cost uncertainties in nodal marginal prices. Since loads and generation costs are represented by fuzzy numbers, nodal marginal prices will no longer be represented by deterministic values, but rather by fuzzy membership functions reflecting the specified uncertainties. The paper also presents the algorithm used for the integration of the transmission losses effect on the results. Since the proposed algorithm uses multiparametric programming techniques, it contributes to characterize in a better way the system behavior. Finally, it includes results based on the IEEE 24 bus/38 branch test system to illustrate the proposed approach.
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