Modelling of Stationary and Dynamic Demand Behavior considering Sectoral and Regional Characteristics

dc.contributor.affiliationTechnical University of Munich
dc.contributor.affiliationTechnical University of Munich
dc.contributor.affiliationTechnical University of Munich
dc.contributor.affiliationTechnical University of Munich
dc.contributor.affiliationTechnical University of Munich
dc.contributor.affiliationTenneT TSO GmbH
dc.contributor.affiliationTenneT TSO GmbH
dc.contributor.authorStenzel, Daniel
dc.contributor.authorViernstein, Lorenz
dc.contributor.authorHewes, Dominic
dc.contributor.authorWürl, Thomas
dc.contributor.authorWitzmann, Rolf
dc.contributor.authorAltschäffl, Sascha
dc.contributor.authorSchmidt, Jörg Michael
dc.contributor.countryGermany
dc.contributor.countryGermany
dc.contributor.countryGermany
dc.contributor.countryGermany
dc.contributor.countryGermany
dc.contributor.countryGermany
dc.contributor.countryGermany
dc.contributor.detailedauthorStenzel, Daniel, Technical University of Munich, Germany
dc.contributor.detailedauthorViernstein, Lorenz, Technical University of Munich, Germany
dc.contributor.detailedauthorHewes, Dominic, Technical University of Munich, Germany
dc.contributor.detailedauthorWürl, Thomas, Technical University of Munich, Germany
dc.contributor.detailedauthorWitzmann, Rolf, Technical University of Munich, Germany
dc.contributor.detailedauthorAltschäffl, Sascha, TenneT TSO GmbH, Germany
dc.contributor.detailedauthorSchmidt, Jörg Michael , TenneT TSO GmbH, Germany
dc.date.accessioned2019-07-24T12:38:28Z
dc.date.available2019-07-24T12:38:28Z
dc.date.conferencedate3-6 June 2019
dc.date.issued2019-06-03
dc.description.abstractModelling the aggregate behavior of electrical demand is a complex task as the composition is strongly dependent on time and field of application. This paper provides a methodical approach to describe the stationary and dynamic behavior of demand in typical German regions. Important factors of influence are considered, e.g. properties of individual load types and seasonal fluctuations in their usage. The resulting load model enables the dynamic simulation of changes in active and reactive power demand caused by variations in voltage and frequency. Representative regions are defined as ‘intermediate’, ‘industry’ and ‘households’ and the load model is parameterized for behavior during midday, evening and night time on a monthly basis.
dc.description.conferencelocationMadrid, Spain
dc.description.conferencenameCIRED 2019
dc.description.openaccessYes
dc.description.peerreviewedYes
dc.description.sessionDistributed energy resources and efficient utilisation of electricity
dc.description.sessionidSession 4
dc.identifier.isbn978-2-9602415-0-1
dc.identifier.issn2032-9644
dc.identifier.urihttps://cired-repository.org/handle/20.500.12455/245
dc.identifier.urihttp://dx.doi.org/10.34890/474
dc.language.isoen
dc.publisherAIM
dc.relation.ispartProc. of the 25th International Conference on Electricity Distribution (CIRED 2019)
dc.relation.ispartofseriesCIRED Conference Proceedings
dc.titleModelling of Stationary and Dynamic Demand Behavior considering Sectoral and Regional Characteristics
dc.title.number1020
dc.typeConference Proceedings
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