Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/346869
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dc.contributor.CRUESPUNIVERSIDADE ESTADUAL DE CAMPINASpt_BR
dc.contributor.authorunicampRosado, Bárbara Resende-
dc.contributor.authorunicampBorges, Ricardo Torquato-
dc.contributor.authorunicampFreitas Filho, Walmir de-
dc.contributor.authorunicampRider Flores, Marcos Julio-
dc.typeArtigopt_BR
dc.titleFramework for optimizing the demand contracted by large customerspt_BR
dc.contributor.authorRosado, Barbara-
dc.contributor.authorTorquato, Ricardo-
dc.contributor.authorVenkatesh, Bala-
dc.contributor.authorGooi, Hoay Beng-
dc.contributor.authorFreitas, Walmir-
dc.contributor.authorRider, Marcos J.-
dc.subjectProgramação inteirapt_BR
dc.subjectProgramação linearpt_BR
dc.subject.otherlanguageInteger programmingpt_BR
dc.subject.otherlanguageLinear programmingpt_BR
dc.description.abstractLarge customers in many electric distribution utilities must enter into demand contracts for the ensuing year for defining contracted demand. Customer demand charge equals contracted demand billed at contracted tariff if the peak demand is less than the contracted demand, and, if not, the excess is billed at the uncontracted tariff. Both scenarios lead to economic loss for the customer, as the uncontracted tariff is much higher than the contracted tariff. Further, optimization of demand contracts is also important for utilities, as they plan and operate their system to satisfy customer peak demand. If under planned, it leads to technical challenges, and otherwise, it leads to economic loss. This challenge of determining the best demand to be contracted is known as the demand cost optimization problem and would save US$ 38 billion globally to customers. This work describes the problem through a graphical approach and proposes three mathematical models to find the optimum demand even in the presence of intermittent renewable generation. Each model is verified through a case study and an exhaustive study with 7,000 large customers from a Brazilian utility. The formulations are easily implementable and have the potential to assist large customers and utilities with planning studiespt_BR
dc.relation.ispartofIET generation, transmission and distributionpt_BR
dc.relation.ispartofabbreviationIET gener., transm. distrib.pt_BR
dc.publisher.cityStevenagept_BR
dc.publisher.countryReino Unidopt_BR
dc.publisherInstitution of Engineering and Technologypt_BR
dc.date.issued2020-
dc.date.monthofcirculationFeb.pt_BR
dc.language.isoengpt_BR
dc.description.volume14pt_BR
dc.description.issuenumber4pt_BR
dc.description.firstpage635pt_BR
dc.description.lastpage644pt_BR
dc.rightsFechadopt_BR
dc.sourceWOSpt_BR
dc.identifier.issn1751-8687pt_BR
dc.identifier.eissn1751-8695pt_BR
dc.identifier.doi10.1049/iet-gtd.2019.1343pt_BR
dc.identifier.urlhttps://ieeexplore.ieee.org/document/8994304pt_BR
dc.description.sponsorshipFUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULO - FAPESPpt_BR
dc.description.sponsordocumentnumber2018/24018-0; 2017/20332-9; 2016/08645-9; 2015/21972-6pt_BR
dc.date.available2020-08-06T17:15:02Z-
dc.date.accessioned2020-08-06T17:15:02Z-
dc.description.provenanceSubmitted by Mariana Aparecida Azevedo (mary1@unicamp.br) on 2020-08-06T17:15:02Z No. of bitstreams: 0. Added 1 bitstream(s) on 2021-01-08T19:02:52Z : No. of bitstreams: 1 000514340500012.pdf: 1512035 bytes, checksum: 272051915c5408667fc79e0a9635fbbc (MD5)en
dc.description.provenanceMade available in DSpace on 2020-08-06T17:15:02Z (GMT). No. of bitstreams: 0 Previous issue date: 2020en
dc.identifier.urihttp://repositorio.unicamp.br/jspui/handle/REPOSIP/346869-
dc.contributor.departmentsem informaçãopt_BR
dc.contributor.departmentsem informaçãopt_BR
dc.contributor.departmentDepartamento de Sistemas e Energiapt_BR
dc.contributor.departmentDepartamento de Sistemas e Energiapt_BR
dc.contributor.unidadeFaculdade de Engenharia Elétrica e de Computaçãopt_BR
dc.subject.keywordCostingpt_BR
dc.subject.keywordOptimisationpt_BR
dc.subject.keywordPower generation planningpt_BR
dc.subject.keywordPower marketspt_BR
dc.subject.keywordTariffspt_BR
dc.identifier.source000514340500012pt_BR
dc.creator.orcid0000-0002-9748-355Xpt_BR
dc.creator.orcid0000-0001-6763-2764pt_BR
dc.creator.orcid0000-0002-2042-6741pt_BR
dc.creator.orcid0000-0001-5484-1161pt_BR
dc.type.formArtigo de pesquisapt_BR
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