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dc.contributor.authorSpecht, Lukas
dc.contributor.authorRauma, Kalle
dc.contributor.authorSpina, Alfio
dc.contributor.authorRehtanz, Christian
dc.date.accessioned2019-07-24T12:38:37Z
dc.date.available2019-07-24T12:38:37Z
dc.date.issuedJune 2019
dc.identifier.isbn978-2-9602415-0-1
dc.identifier.issn2032-9644
dc.identifier.urihttps://cired-repository.org/handle/20.500.12455/260
dc.description.abstractThis project assessed the use of stationary energy storagesoperated by intelligent software to find optimal operationmodes and to adapt it to the changing load conditions inlow voltage networks. The goal is to develop anautonomous energy storage controlling software thatcreates revenues of price ranges of the daily day-aheadmarket while also considering and assessing load peaks inlow voltage networks. Furthermore, installation of thissoftware should be as easy as possible with only minorknowledge of the respecting grid and the need for externalcommands should be as little as possible.During the project it has been shown that the proposedalgorithm performs under computer simulatedcircumstances as expected. In addition, hardwareexperiments by using a 30 kW/100 kWh vanadium redoxflow battery and an adjusted low voltage grid shows thecapability of the control software under realisticconditions.
dc.language.isoen
dc.publisherAIM
dc.relation.ispartofseriesCIRED Conference Proceedings
dc.titleAutonomous and cost-efficient operation of a stationary battery energy storage in low voltage networks
dc.typeConference Proceedings
dc.description.conferencelocationMadrid, Spain
dc.relation.ispartProc. of the 25th International Conference on Electricity Distribution (CIRED 2019)
dc.contributor.detailedauthorSpecht, Lukas, TU Dortmund University, Germany
dc.contributor.detailedauthorRauma, Kalle, TU Dortmund University, Germany
dc.contributor.detailedauthorSpina, Alfio, TU Dortmund University, Germany
dc.contributor.detailedauthorRehtanz, Christian, TU Dortmund university - Institute of Energy Systems Energy Efficiency and Energy Economics, Germany
dc.date.conferencedate3-6 June 2019
dc.description.peerreviewedYes
dc.title.number91
dc.description.openaccessYes
dc.contributor.countryGermany
dc.contributor.countryGermany
dc.contributor.countryGermany
dc.contributor.countryGermany
dc.description.conferencenameCIRED 2019
dc.contributor.affiliationTU Dortmund University
dc.contributor.affiliationTU Dortmund University
dc.contributor.affiliationTU Dortmund University
dc.contributor.affiliationTU Dortmund university - Institute of Energy Systems Energy Efficiency and Energy Economics
dc.description.sessionDistributed energy resources and efficient utilisation of electricity
dc.description.sessionidSession 4


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