Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/73821
Title: Multi-area self-adaptive pricing control in smart city with EV user participation
Authors: Nie, Y
Wang, X 
Cheng, KE 
Keywords: Electric vehicle
Energy consumption
MASA pricing
Power grids
Pricing
Smart cities
Smart city
State of charge
Transportation
User behavior.
Issue Date: 2018
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE transactions on intelligent transportation systems, 2018, v. 19, no. 7, p. 2156-2164 How to cite?
Journal: IEEE transactions on intelligent transportation systems 
Abstract: Promoting the market of electric vehicles (EV) can be one of the most effective ways to deal with the increasing severity of air pollution. However, the behavior of EV users can be rather stochastic and the aggregated charging power may add pressure to urban power grid during peak hours. In this paper, a novel smart city modeling with combined EV traveling and charging network is formulated. To alleviate the potential contingency brought by stochastic EV charging, mandatory control from grid operator and different kinds of electricity pricing schemes are introduced. Finally, the comparison between existing EV charging control schemes and multi-area self-adaptive (MASA) pricing control is performed to point out the limitation of passive control imposed on users as well as the flexibility of MASA pricing scheme. The results demonstrate that MASA pricing with active EV participation serves as an effective and economical solution to the future smart city under complex transportation network and massive EV integration.
URI: http://hdl.handle.net/10397/73821
ISSN: 1524-9050
EISSN: 1558-0016
DOI: 10.1109/TITS.2017.2759192
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