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Assessing the impact of electric vehicle charging behavior on the distribution grid

  • The promise of the EVs is twofold. First, rejuvenating a transport sector that still heavily depends on fossil fuels and second, integrating intermittent renewable energies into the power mix. However, it is still not clear how electricity networks will cope with the predicted increase in EVs and their charging demand, especially in combination with conventional energy demand. This paper proposes a methodology which allows to predict the impact of EV charging behavior on the electricity grid. Moreover, this model simulates the driving and charging behavior of heterogeneous EV drivers which differ in their mobility pattern, decision-making heuristics and charging strategies. The simulations show that uncoordinated charging results in charging load clustering. In contrast, decentralized coordination allows to fill the valleys of the conventional load curve and to integrate EVs without the need of a costly expansion of the electricity grid.

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Metadaten
Author of HS Reutlingenvan Dinther, Clemens
URL:https://aisel.aisnet.org/amcis2020/sig_green/sig_green/12
Erschienen in:AMCIS 2020 proceedings - Green IS and sustainability (SIGGreen)
Publisher:Association for Information Systems (AIS)
Place of publication:Atlanta, GA
Document Type:Conference proceeding
Language:English
Publication year:2020
Page Number:10
First Page:1
Last Page:10
DDC classes:004 Informatik