Forecasted chronological Power Flow for enabling timely dynamic tariff activation

dc.contributor.affiliationEDP Distribuição
dc.contributor.affiliationEDP Distribuição
dc.contributor.affiliationEDP Distribuição
dc.contributor.affiliationEDP Inovação
dc.contributor.affiliationEDP Inovação
dc.contributor.affiliationEDP Inovação
dc.contributor.affiliationAmbertree
dc.contributor.affiliationAmberTREE
dc.contributor.authorGonçalves, Ricardo
dc.contributor.authorLouro, Miguel
dc.contributor.authorPaulo, André
dc.contributor.authorFerreira, Pedro
dc.contributor.authorPinheiro, Marco
dc.contributor.authorPedro, Margarida
dc.contributor.authorFerreira, Luís Marcelino
dc.contributor.authorCarvalho, Pedro
dc.contributor.countryPortugal
dc.contributor.countryPortugal
dc.contributor.countryPortugal
dc.contributor.countryPortugal
dc.contributor.countryPortugal
dc.contributor.countryPortugal
dc.contributor.countryPortugal
dc.contributor.countryPortugal
dc.contributor.detailedauthorGonçalves, Ricardo, EDP Distribuição, Portugal
dc.contributor.detailedauthorLouro, Miguel, EDP Distribuição, Portugal
dc.contributor.detailedauthorPaulo, André, EDP Distribuição, Portugal
dc.contributor.detailedauthorFerreira, Pedro, EDP Inovação, Portugal
dc.contributor.detailedauthorPinheiro, Marco, EDP Inovação, Portugal
dc.contributor.detailedauthorPedro, Margarida, EDP Inovação, Portugal
dc.contributor.detailedauthorFerreira, Luís Marcelino, Ambertree, Portugal
dc.contributor.detailedauthorCarvalho, Pedro, AmberTREE, Portugal
dc.date.accessioned2019-07-24T12:39:47Z
dc.date.available2019-07-24T12:39:47Z
dc.date.conferencedate3-6 June 2019
dc.date.issued2019-06-03
dc.description.abstractThe introduction of sensors and smart meters in power networks has leveraged the use of several other technologies with the aim of improving efficiency of grid operation and maximizing the benefit for all the stakeholders. One way to improve efficiency is to foster a better utilization of the existing assets which delays the investment on new ones. Dynamic tariffs are tariffs whose prices change as a function of certain constraints (time-related or network operation-related). The goal of their utilization is to try to induce a load shift from peak periods thus decreasing the peak value.In order to anticipate the need of shifting load, besides a favourable regulatory environment and the adherence of consumers to this kind of strategies, the Distribution System Operator (DSO) needs to forecast when, in the future, will a peak period occur. To do so, it is needed to develop load and generation forecasting models, scale them on Big Data Infrastructures and integrate the results into power networks analysis tools capable of processing the amount of data within the time constraints for the analysis (if it takes too long to process the information may be useless).
dc.description.conferencelocationMadrid, Spain
dc.description.conferencenameCIRED 2019
dc.description.openaccessYes
dc.description.peerreviewedYes
dc.description.sessionOperation, control and protection
dc.description.sessionidSession 3
dc.identifier.isbn978-2-9602415-0-1
dc.identifier.issn2032-9644
dc.identifier.urihttps://cired-repository.org/handle/20.500.12455/346
dc.identifier.urihttp://dx.doi.org/10.34890/573
dc.language.isoen
dc.publisherAIM
dc.relation.ispartProc. of the 25th International Conference on Electricity Distribution (CIRED 2019)
dc.relation.ispartofseriesCIRED Conference Proceedings
dc.titleForecasted chronological Power Flow for enabling timely dynamic tariff activation
dc.title.number1214
dc.typeConference Proceedings
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