Hierarchical Electric Vehicle Charging Aggregator Strategy Using Dantzig-Wolfe Decomposition

被引：32
作者：
Amini, M. Hadi [1 ,2 ,3 ]
Mcnamara, Paul [4 ]
Weng, Paul [5 ]
Karabasoglu, Orkun [6 ]
Xu, Yinliang [7 ]
机构：
[1] Sun Yat Sen Univ, Sch Elect & Informat Technol, Comp Sci & Technol, Guangzhou, Guangdong, Peoples R China
[2] Carnegie Mellon Univ, Dept Elect & Comp Engn, Elect & Comp Engn, Pittsburgh, PA 15213 USA
[3] SYSU CMU Shunde Int Joint Res Inst, Guangzhou, Guangdong, Peoples R China
[4] Univ Coll Dublin, Elect Res Ctr, Dublin, Ireland
[5] Sun Yat Sen Univ Carnegie Mellon Univ Joint Inst, SYSU CMU Shunde Int Joint Res Inst, Guangzhou, Guangdong, Peoples R China
[6] Yasar Univ, Ind Engn Dept, Izmir, Turkey
[7] Tsinghua Berkeley Shenzhen Inst, Shenzhen Environm Sci & New Energy Technol Engn L, Shenzhen, Peoples R China
来源：
IEEE DESIGN & TEST | 2018年 / 35卷 / 06期
关键词：
DEMAND; PARTICIPATION; OPTIMIZATION;
D O I：
10.1109/MDAT.2017.2759505
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
This article focuses on reducing a charging cost for electric vehicles (EVs). A charging strategy is proposed to minimize the charging cost of EVs within the charging station constraints. © 2018 IEEE.
引用
收藏
页码：25 / 36
页数：12
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