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Integrating renewable energy sources by electric vehicle fleets under uncertainty

Seddig, Katrin; Jochem, Patrick; Fichtner, Wolf

Electric vehicles are one of the concepts towards green and sustainable transportation systems. However, several uncertainties with respect to electricity demand and availability of electric vehicles as well as electricity supply by renewable energy sources influence an optimal scheduling through smart charging strategies. This paper investigates the possibilities to integrate additionally loads of uncertain renewable energy sources by smart charging strategies of three different electric vehicle fleets namely, commercial customers, commuters, and opportunity parkers. Therefore, data from an empiric field test with a public charging infrastructure in a parking garage with a photovoltaic system is taken. Various strategies are analyzed, considering the changing individual electricity demand, restrictions and parking times of electric vehicle fleets by combining a Monte Carlo simulation approach with different methodologies like a heuristic algorithm, an optimization model and stochastic programming. The numerical results indicate that the domestic photovoltaic generation of the car park can be fully used by the electric vehicle fleet ... mehr

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Postprint §
DOI: 10.5445/IR/1000077130
Veröffentlicht am 26.11.2018
DOI: 10.1016/
Zitationen: 14
Web of Science
Zitationen: 9
Seitenaufrufe: 139
seit 29.04.2018
Downloads: 91
seit 01.09.2018
Zugehörige Institution(en) am KIT Institut für Industriebetriebslehre und Industrielle Produktion (IIP)
Publikationstyp Zeitschriftenaufsatz
Jahr 2017
Sprache Englisch
Identifikator ISSN: 0360-5442, 1873-6785
KITopen-ID: 1000077130
Erschienen in Energy
Band 141
Seiten 2145-2153
Vorab online veröffentlicht am 25.11.2017
Schlagworte Electric vehicle fleets, Renewable energy sources, Uncertainty, Load management, Stochastic optimization
Nachgewiesen in Scopus
Web of Science
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