作者
Bo Wang, Dongbo Zhao, Payman Dehghanian, Yuting Tian, Tianqi Hong
发表日期
2020/4/16
期刊
IEEE Transactions on Industry Applications
卷号
56
期号
5
页码范围
5796-5810
出版商
IEEE
简介
Different electric vehicle (EV) charging algorithms result in different EV charging load profiles, that if aggregated, influence the power grid operation. The existing EV charging demand models are either based on the charging status upon EV arrival or smart charging algorithms reinforced with particular charging methods and/or charging levels. This article proposes a new data-driven approach for EV charging load modeling. We first introduce a mathematical model that characterizes the flexibility of EV charging demand. Advanced simulation procedures are then proposed to identify the parameters of different EV load models and simulate EV charging demand under different electricity market realizations. The proposed EV load modeling approach can simulate different EV operation schedules, charging levels, and customer participation as a benchmark system. The proposed framework will also provide informative …
引用总数
202020212022202320248139207
学术搜索中的文章
B Wang, D Zhao, P Dehghanian, Y Tian, T Hong - IEEE Transactions on Industry Applications, 2020