Bilevel approach for optimal location and contract pricing of distributed generation in radial distribution systems using mixed-integer linear programming

dc.contributor.authorRider, Marcos J. [UNESP]
dc.contributor.authorLópez-Lezama, Jesús María
dc.contributor.authorContreras, Javier
dc.contributor.authorPadilha-Feltrin, Antonio [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionEfficient Energy Management Research Group (GIMEL)
dc.contributor.institutionUniversidad de Castilla - La Mancha
dc.date.accessioned2014-05-27T11:30:01Z
dc.date.available2014-05-27T11:30:01Z
dc.date.issued2013-07-24
dc.description.abstractIn this study, a novel approach for the optimal location and contract pricing of distributed generation (DG) is presented. Such an approach is designed for a market environment in which the distribution company (DisCo) can buy energy either from the wholesale energy market or from the DG units within its network. The location and contract pricing of DG is determined by the interaction between the DisCo and the owner of the distributed generators. The DisCo intends to minimise the payments incurred in meeting the expected demand, whereas the owner of the DG intends to maximise the profits obtained from the energy sold to the DisCo. This two-agent relationship is modelled in a bilevel scheme. The upper-level optimisation is for determining the allocation and contract prices of the DG units, whereas the lower-level optimisation is for modelling the reaction of the DisCo. The bilevel programming problem is turned into an equivalent single-level mixed-integer linear optimisation problem using duality properties, which is then solved using commercially available software. Results show the robustness and efficiency of the proposed model compared with other existing models. As regards to contract pricing, the proposed approach allowed to find better solutions than those reported in previous works. © The Institution of Engineering and Technology 2013.en
dc.description.affiliationDepartamento de Engenharia Elétrica Faculdade de Engenharia de Ilha Solteira UNESP - Universidade Estadual Paulista, Ilha Solteira, São Paulo
dc.description.affiliationDepartment of Electrical Engineering Universidad de Antioquia Efficient Energy Management Research Group (GIMEL), Medellín
dc.description.affiliationE.T.S. de Ingenieros Industriales Universidad de Castilla - La Mancha, 13071 Ciudad Real
dc.description.affiliationUnespDepartamento de Engenharia Elétrica Faculdade de Engenharia de Ilha Solteira UNESP - Universidade Estadual Paulista, Ilha Solteira, São Paulo
dc.format.extent724-734
dc.identifierhttp://dx.doi.org/10.1049/iet-gtd.2012.0369
dc.identifier.citationIET Generation, Transmission and Distribution, v. 7, n. 7, p. 724-734, 2013.
dc.identifier.doi10.1049/iet-gtd.2012.0369
dc.identifier.issn1751-8687
dc.identifier.scopus2-s2.0-84880354471
dc.identifier.urihttp://hdl.handle.net/11449/76044
dc.identifier.wosWOS:000321746400008
dc.language.isoeng
dc.relation.ispartofIET Generation, Transmission and Distribution
dc.relation.ispartofjcr2.618
dc.relation.ispartofsjr0,907
dc.rights.accessRightsAcesso restrito
dc.sourceScopus
dc.subjectBi-level approaches
dc.subjectBilevel programming problem
dc.subjectDistributed generators
dc.subjectDistribution companies
dc.subjectMixed integer linear programming
dc.subjectOptimisation problems
dc.subjectRadial distribution systems
dc.subjectWholesale energy market
dc.subjectCommerce
dc.subjectDistributed power generation
dc.subjectLinear programming
dc.subjectLocation
dc.subjectOptimization
dc.subjectCosts
dc.titleBilevel approach for optimal location and contract pricing of distributed generation in radial distribution systems using mixed-integer linear programmingen
dc.typeArtigo
dcterms.licensehttp://www.ieee.org/publications_standards/publications/rights/rights_policies.html
unesp.author.lattes3886842168147059[4]
unesp.author.orcid0000-0001-6495-440X[4]
unesp.campusUniversidade Estadual Paulista (Unesp), Faculdade de Engenharia, Ilha Solteirapt

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