Forecast of steady-state voltage problems considering simulation and socio-environmental information

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dc.contributor.affiliationSinapsis Inovação em Energia
dc.contributor.affiliationSinapsis Inovação em Energia
dc.contributor.affiliationSinapsis Inovação em Energia
dc.contributor.affiliationSinapsis Inovação em Energia
dc.contributor.affiliationENERQ - USP
dc.contributor.affiliationEletrobras
dc.contributor.affiliationSinapsis Inovação em Energia
dc.contributor.authorMachado Sales, Renan
dc.contributor.authorOrdonha Cyrillo, Ivo
dc.contributor.authorPelegrini, Marcelo
dc.contributor.authorLuz, Hector
dc.contributor.authorKagan, Nelson
dc.contributor.authorBorges da Silva Filho, Elson
dc.contributor.authorPerez Duarte, Daniel
dc.contributor.countryBrazil
dc.contributor.countryBrazil
dc.contributor.countryBrazil
dc.contributor.countryBrazil
dc.contributor.countryBrazil
dc.contributor.countryBrazil
dc.contributor.countryBrazil
dc.contributor.detailedauthorMachado Sales, Renan, Sinapsis Inovação em Energia, Brazil
dc.contributor.detailedauthorOrdonha Cyrillo, Ivo, Sinapsis Inovação em Energia, Brazil
dc.contributor.detailedauthorPelegrini, Marcelo, Sinapsis Inovação em Energia, Brazil
dc.contributor.detailedauthorLuz, Hector, Sinapsis Inovação em Energia, Brazil
dc.contributor.detailedauthorKagan, Nelson, ENERQ - USP, Brazil
dc.contributor.detailedauthorBorges da Silva Filho, Elson, Eletrobras, Brazil
dc.contributor.detailedauthorPerez Duarte, Daniel, Sinapsis Inovação em Energia, Brazil
dc.date.accessioned2019-07-24T12:49:13Z
dc.date.available2019-07-24T12:49:13Z
dc.date.conferencedate3-6 June 2019
dc.date.issued2019-06-03
dc.description.abstractThis article presents the general panorama of the use of multiple sources of information to identify consumers who could receive voltage quality different from the appropriate. It is observed that only simulations of power flow, and consequently levels of voltage, are not sufficient for a good prediction of regions and consumers out of the appropriate levels of steady-state voltage. To work around this problem, adjustments and reforms are made to the distribution networks databases, improving the assertiveness of the simulations. However, the simulations still distance themselves from the ideal model of prediction. Using spatial statistics and machine learning techniques, together with data on voltage measurements of the ANEEL product quality campaign and socio-environmental information, there is a significantly higher prediction than the one obtained only by power flow simulations. The predictive results from each model is presented and compared.
dc.description.conferencelocationMadrid, Spain
dc.description.conferencenameCIRED 2019
dc.description.openaccessYes
dc.description.peerreviewedYes
dc.description.sessionPower quality and electromagnetic compatibility
dc.description.sessionidSession 2
dc.identifier.isbn978-2-9602415-0-1
dc.identifier.issn2032-9644
dc.identifier.urihttps://cired-repository.org/handle/20.500.12455/749
dc.identifier.urihttp://dx.doi.org/10.34890/973
dc.language.isoen
dc.publisherAIM
dc.relation.ispartProc. of the 25th International Conference on Electricity Distribution (CIRED 2019)
dc.relation.ispartofseriesCIRED Conference Proceedings
dc.titleForecast of steady-state voltage problems considering simulation and socio-environmental information
dc.title.number2145
dc.typeConference Proceedings
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