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Results of a Monte Carlo based risk analysis on the impact of PEVs to the distribution grid

: Beyer, Daniel; Ruhe, Stephan; Bretschneider, Peter; Ehrhardt, Jens


Institute of Electrical and Electronics Engineers -IEEE-:
IEEE International Energy Conference, ENERGYCON 2016 : 4-8 April 2016, Leuven
Piscataway, NJ: IEEE, 2016
ISBN: 978-1-4673-8464-3 (Print)
ISBN: 978-1-4673-8463-6 (Online)
7 pp.
International Energy Conference (ENERGYCON) <2016, Leuven>
Conference Paper
Fraunhofer IOSB ()
plugin electric vehicles; smart grid; vehicle charging; simulation method

This paper presents the study results of possible plug in electric vehicle (PEV) integration potentials in a commonly occurring rural distribution grid in Germany as a worst case scenario simulation. This worst case consideration means, that all the simulations are running at a fix defined load point at one specific moment in time. After the simulation case definition, like e.g. the so called “strong load case”, the different in Germany commonly occurring PEV-classes are connected step by step to the 0,4 kV grid. So it is possible to compute the maximum integrable amount of PEVs (of each class) in dependency on the grid operation risks. As the core method the conventional Monte Carlo approach were used in a self-implemented characteristic.