Electric Vehicles Charging Scheduling Strategy Considering the Uncertainty of Photovoltaic Output

被引:1
|
作者
Wei, Xiangxiang [1 ]
Su, Su [1 ]
Yue, Yunli [2 ]
Wang, Wei [1 ]
He, Luobin [1 ]
Li, Hao [1 ]
Ota, Yutaka [3 ]
机构
[1] Beijing Jiaotong Univ, Natl Act Distribut Network Technol Res Ctr, Beijing 100044, Peoples R China
[2] Stake Grid Jibei Elect Power Co, Beijing, Peoples R China
[3] Tokyo City Univ, Tokyo, Japan
基金
中国国家自然科学基金;
关键词
ENERGY-STORAGE; MANAGEMENT; SYSTEMS; DEMAND;
D O I
10.1088/1757-899X/199/1/012006
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The rapid development of electric vehicles and distributed generation bring new challenges to security and economic operation of the power system, so the collaborative research of the EVs and the distributed generation have important significance in distribution network. Under this background, an EVs charging scheduling strategy considering the uncertainty of photovoltaic(PV) output is proposed. The characteristics of EVs charging are analysed first. A PV output prediction method is proposed with a PV database then. On this basis, an EVs charging scheduling strategy is proposed with the goal to satisfy EVs users' charging willingness and decrease the power loss in distribution network. The case study proves that the proposed PV output prediction method can predict the PV output accurately and the EVs charging scheduling strategy can reduce the power loss and stabilize the fluctuation of the load in distributed network.
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页数:8
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