Impact of electromobility on the future standard load profile

Author(s): Ali Hashemifarzada, Martin Faulstichb, Jens zum Hingstc, Milad Jokarid
a Institute of Electrical Power Engineering and Energy Systems, TU-Clausthal, Germany
b Institute of Electrical Power Engineering and Energy Systems, TU-Clausthal, Germany
c Institute of Electrical Power Engineering and Energy Systems, TU-Clausthal, Germany
d Institute of Electrical Power Engineering and Energy Systems, TU-Clausthal, Germany
International Journal of Smart Grid and Clean Energy, vol. 8, no. 2, March 2019: pp. 164-173
ISSN: 2315-4462 (Print)
ISSN: 2373-3594 (Online)
Digital Object Identifier: 10.12720/sgce.8.2.164-173

Abstract: Although Electromobility provides an appropriate technological solution to the low-carbon-emission goals of “Ener-giewende”, it poses specific challenges in terms of the increase in the electricity demand and the integration into the grid infrastructure across Germany and eventually the whole Europe. Considering the attained strategies in Energiewende, a significant increase in the number of electric-driven vehicles in future is expected. Germany’s “National Electromobility Development Plan” has set the targets to have one million electrical vehicles on the road by 2020. [2] Considering the current battery technologies and charging characteristics of electrical cars, a noteworthy impact on the distribution net-works and grids should be expected in near future. In this paper, the impact of electric vehicle charging on the distribution grid and standard load profiles will be investi-gated. To achieve the mentioned objective, different charging strategies for electric cars and their effects on the electricity network will be analysed. Two scenarios, assuming respectively 50 and 88 percent market penetration of electric vehicles by 2050, will then be introduced. The current conventional standard load profiles of households and industrial units will be used to investigate the impact of electric vehicle charging on them for each development scenario.

Keywords: Electromobility, Energiewende, Standard load profile, Load forecasting
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