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dc.contributor.advisorRehtanz, Christian-
dc.contributor.authorLiu, Jiayan-
dc.date.accessioned2022-05-06T12:21:55Z-
dc.date.available2022-05-06T12:21:55Z-
dc.date.issued2022-
dc.identifier.urihttp://hdl.handle.net/2003/40895-
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-22752-
dc.description.abstractAppropriately planning and scheduling strategies can improve the enthusiasm of Electric vehicles (EVs), reduce charging losses, and support the power grid system. Thus, this dissertation studies the planning and operating of the EV charging station. First, an EV charging station planning strategy considering the overall social cost is proposed. Then, to reduce the charging cost and guarantee the charging demand, an optimal charging scheduling method is proposed. Additionally, by considering the uncertainty of charging demand, a data-driven intelligent EV charging scheduling algorithm is proposed. Finally, a collaborative optimal routing and scheduling method is proposed.en
dc.language.isoende
dc.subjectElectric vehicleen
dc.subjectCharging station planningen
dc.subjectCharging schedulingen
dc.subjectDistribution networken
dc.subjectBi-level programmingen
dc.subjectGenetic algorithmen
dc.subject.ddc620-
dc.titleResearch on economic planning and operation of electric vehicle charging stationsen
dc.typeTextde
dc.contributor.refereeZdrallek, Markus-
dc.date.accepted2022-04-25-
dc.type.publicationtypedoctoralThesisde
dc.subject.rswkElektromobilitätde
dc.subject.rswkLadestationde
dcterms.accessRightsopen access-
eldorado.secondarypublicationfalsede
Appears in Collections:Sonstige Veröffentlichungen (Institut für Energiesysteme, Energieeffizienz und Energiewirtschaft)

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