Authors
Zhaoxi Liu, Qiuwei Wu, Shaojun Huang, Lingfeng Wang, Mohammad Shahidehpour, Yusheng Xue
Publication date
2017/3/15
Journal
IEEE Transactions on Smart Grid
Volume
9
Issue
5
Pages
5173-5184
Publisher
IEEE
Description
The electric vehicle (EV) market has been growing rapidly around the world. With large scale deployment of EVs in power systems, both the grid and EV owners will benefit if the flexible demand of EV charging is properly managed through the electricity market. When EV charging demand is considerable in a grid, it will impact spot prices in the electricity market and consequently influence the charging scheduling itself. The interaction between the spot prices and the EV demand needs to be considered in the EV charging scheduling, otherwise it will lead to a higher charging cost. A day-ahead EV charging scheduling based on an aggregative game model is proposed in this paper. The impacts of the EV demand on the electricity prices are formulated with the game model in the scheduling considering possible actions of other EVs. The existence and uniqueness of the pure strategy Nash equilibrium are proved for …
Total citations
20172018201920202021202220232024713183732503915
Scholar articles
Z Liu, Q Wu, S Huang, L Wang, M Shahidehpour… - IEEE Transactions on Smart Grid, 2017