A Real-Time Charging Scheme for Demand Response in Electric Vehicle Parking Station

被引:207
作者
Yao, Leehter [1 ]
Lim, Wei Hong [1 ]
Tsai, Teng Shih [1 ]
机构
[1] Natl Taipei Univ Technol, Dept Elect Engn, Taipei 10648, Taiwan
关键词
Linear programming; convex relaxation; demand response; electric vehicle; smart grid; HOME ENERGY MANAGEMENT; OPTIMIZATION; PERFORMANCE; ALGORITHM; STRATEGY; SYSTEM; LOT;
D O I
10.1109/TSG.2016.2582749
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Demand response (DR) is a vital part in smart grid to restore the balance between electricity demand and supply. In this paper, a real-time charging scheme is proposed to coordinate the electric vehicle (EV) charging and accommodate DR programs in the parking station. The charging scheduling is formulated as a binary optimization problem because the on-off strategy is leveraged to achieve faster charging speed of EV. Given the computationally expensive nature of exhaustive search in solving the optimal solution of binary optimization problem, a convex relaxation method is developed as an alternative to compute the near-optimal charging schedules. Extensive simulation results show that the proposed work is able to satisfy EV charging demand while accommodating both types of DR programs in the parking station. The proposed work is also able to simultaneously maximize the number of EVs for charging and minimize the monetary expenses.
引用
收藏
页码:52 / 62
页数:11
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