期刊
ENERGY
卷 189, 期 -, 页码 -出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.energy.2019.116275
关键词
Distributed coordination pricing method; Electric vehicles; Elastic charging demand; Optimal power flow; Smart charging management system; Traffic equilibrium assignment
资金
- National Natural Science Foundation of China [61873225, 61374098]
- Provincial Graduate Innovation Assistant Project 2018 [023000307]
- National Natural Science Foundation of Hebei Province [F2016203507]
With the increasing popularity of electric vehicles, the connections between urban transportation and power distribution systems gradually change from independent to tightly coupled. To promote the coordinated operation of the two kind of systems, this paper proposes a smart charging management system considering the elastic response of electric vehicle users to electricity charging price. In this system, a multi-class user traffic equilibrium assignment model with elastic charging demand is formulated to capture link flow distributions of vehicles across the urban transportation network and estimate charging demand of each fast charging station. An alternating current optimal power flow model for power distribution network is also established to calculate optimal charging capacity of each fast charging station and scheduling plan of generators. Combining the above two models, a distributed coordination pricing method is designed based on alternating direction multiplier method, which can obtain a proper electricity charging price signal to better manage electric vehicles. A case study is performed to show the effectiveness of the proposed model and the distributed coordination pricing method. (C) 2019 Elsevier Ltd. All rights reserved.
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