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.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: IEEE Transactions on Intelligent Transportation Systems
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
