NDLI: Empirical BEV model for power flow analysis and demand side management purposes

Content Provider	IEEE Xplore Digital Library
Author	Westermann, D. Agsten, M. Schlegel, S.
Copyright Year	2010
Description	Author affiliation: Power Systems Department, Ilmenau University of Technology, Ilmenau, Germany (Westermann, D.; Agsten, M.; Schlegel, S.)
Abstract	The discussion about the substitution of fossil driven vehicles by battery electric vehicles (BEV) has raised questions from a power system operation perspective. The focus areas today are distribution networks (medium-to low-voltage level) with respect to the expected impact of a high penetration of the BEV charging action. BEV's will be mainly connected to the lower medium and low voltage power grid. Theoretic research and measurements show that the uncontrolled BEV charging can result in additional peaks at the step down transformers and adjacent cable systems. Assuming that the peak generation can feed in, power must flow over the entire distribution networks to the low voltage level. This results in situations where the operational limits of the power grid could be reached. This paper focuses on the modeling of these phenomena in order to forecast the daily load shape and additionally information as input for the power systems operation and optimization purposes, for example demand side management (DSM) strategies for managed BEV's charging. All models are based on the results of the field test in Berlin, using 50 Mini-E for managed charging.
Starting Page	1
Ending Page	6
File Size	478899
Page Count	6
File Format	PDF
e-ISBN	9788392131588
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-09-20
Publisher Place	Poland
Access Restriction	Subscribed
Rights Holder	Institute of Electrical Power
Subject Keyword	Demand side management Shape Impact BEV on distribution networks Optimization Load flow analysis Power system operation Analytical models Low voltage Simulation Power flow Battery electric vehicle Distribution network Load modeling
Content Type	Text
Resource Type	Article

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