Lacey, Gillian, Putrus, Ghanim, Bentley, Edward, Johnston, David, Walker, Sara and Jiang, Tianxiang (2013) A modelling tool to investigate the effect of electric vehicle charging on low voltage networks. In: EVS 2014 - 27th World Electric Vehicle Symposium and Exhibition, 17th - 20th November 2013, Barcelona, Spain.
Full text not available from this repository. (Request a copy)Abstract
The market for electric vehicles (EV) is currently limited, but this is expected to grow rapidly with the increased advances in technology, particularly battery technology. Due to their high energy capacity and potential mass deployment, EVs will have significant impact on power networks. This paper presents a novel, user-friendly modelling tool which uses universally accepted, mathematically robust software to allow analysis of the effects of typical loads, microgeneration and EV charging on the distribution network, mainly the low voltage (LV) feeders, 11/0.4 kV substation and also part of the 11 kV section. Network asset ratings, voltage limits and thermal overloads are determined over a 24 hour period. The model allows the user to input any number of houses, schools, shops, microgeneration and EV charging posts which may be connected at each 400 V node. The EV charging post is modelled using pre-set connection times, battery capacity and battery state of charge (SOC). The effects of different EV battery charging scenarios on the LV network are investigated and presented in this paper. Comparison of different charging regimes demonstrates the effectiveness of the modelling tool and gives guidance for the design of EV charging infrastructure as more drivers choose EVs for their travelling needs.
Item Type: | Conference or Workshop Item (Paper) |
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Uncontrolled Keywords: | EV battery, LV distribution network, power quality, smart charging |
Subjects: | H600 Electronic and Electrical Engineering |
Department: | Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering |
Depositing User: | Paul Burns |
Date Deposited: | 04 Dec 2014 14:07 |
Last Modified: | 12 Oct 2019 19:08 |
URI: | http://nrl.northumbria.ac.uk/id/eprint/18383 |
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