Time Series Based Power System Planning Including Storage Systems and Curtailment Strategies

dc.contributor.affiliationUniversity of Kassel
dc.contributor.affiliationUniversity of Kassel
dc.contributor.affiliationFraunhofer IEE
dc.contributor.affiliationFraunhofer / Universistät Kassel
dc.contributor.authorSchäfer , Florian
dc.contributor.authorMenke, Jan-Hendrik
dc.contributor.authorMarten, Frank
dc.contributor.authorBraun, Martin
dc.contributor.countryGermany
dc.contributor.countryGermany
dc.contributor.countryGermany
dc.contributor.countryGermany
dc.contributor.detailedauthorSchäfer , Florian, University of Kassel , Germany
dc.contributor.detailedauthorMenke, Jan-Hendrik, University of Kassel , Germany
dc.contributor.detailedauthorMarten, Frank, Fraunhofer IEE, Germany
dc.contributor.detailedauthorBraun, Martin, Fraunhofer / Universistät Kassel, Germany
dc.date.accessioned2019-07-24T12:38:10Z
dc.date.available2019-07-24T12:38:10Z
dc.date.conferencedate3-6 June 2019
dc.date.issued2019-06-03
dc.description.abstractCompared to the analysis of few loading situations, time series based power system planning methods allow to integrate control strategies of generators and storage systems into grid expansion planning. A novel framework is introduced in this paper, which is able to consider operational options such as the curtailment of distributed generators as well as storage systems in the expansion planning of distribution grids. The framework combines time series simulations and reinforcement heuristics to evaluate expansion planning costs, line loadings, voltages, energy and losses. To reduce computational effort and integrate the single contingency policy into the framework, artificial neural networks are employed.
dc.description.conferencelocationMadrid, Spain
dc.description.conferencenameCIRED 2019
dc.description.openaccessYes
dc.description.peerreviewedYes
dc.description.sessionPlanning of power distribution systems
dc.description.sessionidSession 5
dc.identifier.isbn978-2-9602415-0-1
dc.identifier.issn2032-9644
dc.identifier.urihttps://cired-repository.org/handle/20.500.12455/216
dc.identifier.urihttp://dx.doi.org/10.34890/425
dc.language.isoen
dc.publisherAIM
dc.relation.ispartProc. of the 25th International Conference on Electricity Distribution (CIRED 2019)
dc.relation.ispartofseriesCIRED Conference Proceedings
dc.titleTime Series Based Power System Planning Including Storage Systems and Curtailment Strategies
dc.title.number955
dc.typeConference Proceedings
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