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Approach and main results of the G4V project analyzing the impact of a mass introduction of electric vehicles on electricity networks in Europe
Authors: Thomas Helmschrott; Claas Matrose; Eva Szczechowicz; Armin Schnettler; Markus Gödde;
Abstract
The Grid 4 Vehicles project (G4V) has analyzed the effects of a mass integration of electric and plug-in hybrid electric vehicles (EV and PHEV) into some distribution grids in Europe. A consortium consisting of six European research institutions and six European utilities has developed a methodology to investigate the effects of EV and PHEV in distribution grids and has proposed different options for intelligent and “grid-friendly” EV charging. This paper introduces the algorithms used for grid calculation, describes intelligent charging methodologies and demonstrates the most significant results of these calculations.
Related Organizations
- RWTH Aachen University Germany
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).7 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average

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citations
Citations provided by BIP!
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
popularity
Popularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
7
Average
Top 10%
Average
Beta