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Analysis of electric vehicle charging behavior in low-voltage grids using a receding horizon control strategy

 
: Haendel, Michael; Hug, Gabriela

:

Institute of Electrical and Electronics Engineers -IEEE-; IEEE Industrial Electronics Society -IES-:
International Conference on Smart Energy Systems and Technologies, SEST 2018. Conference proceedings : 10-12 September 2018, Seville, Spain
Piscataway, NJ: IEEE, 2018
ISBN: 978-1-5386-5326-5
ISBN: 978-1-5386-5327-2
S.613-619
International Conference on Smart Energy Systems and Technologies (SEST) <1, 2018, Seville>
Englisch
Konferenzbeitrag
Fraunhofer ISI ()
electric vehicle; low-voltage grid; market simulation; receding horizon

Abstract
Electric vehicles (EV) are becoming increasingly popular due to the need for a greater contribution of the transport sector to climate protection. Their integration into the system, however, poses both challenges and opportunities. This paper takes a closer look at the behavior of EVs in a setting influenced by electricity market prices and network restrictions. Our focus is a market model that includes network constraints in order to derive a market driven control strategy for EVs that also observes all grid constraints. A price signal from the market is used to control the charging behavior with a receding horizon approach and considering network restrictions. A case study examines the possible effects of the control strategy on the system. The main result is that EVs are very flexible in shifting their demand for the considered low-voltage grid. However, high photovoltaics feed-in, especially in the summer months, can lead to high network loads that EVs cannot always completely compensate.

: http://publica.fraunhofer.de/dokumente/N-519917.html