Real-time Scheduling of Electric Vehicles for Ancillary Services

被引：0
|
作者：
Juul, Frederik [1 ]
Negrete-Pincetic, Matias [1 ,2 ]
MacDonald, Jason [3 ]
Callaway, Duncan [1 ]
机构：
[1] Univ Calif Berkeley, Energy Resources Grp, Berkeley, CA 94720 USA
[2] Pontificia Univ Catolica Chile, Dept Elect Engn, Santiago, Chile
[3] Lawrence Berkeley Natl Lab, Berkeley, CA USA
来源：
2015 IEEE POWER & ENERGY SOCIETY GENERAL MEETING | 2015年
关键词：
Electric Vehicles; Resource Scheduling; Ancillary Services Market; Vehicle to Grid Control;
D O I：
暂无
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：
This work is part of a project that aims to demonstrate the concept of Vehicle-to-Grid (V2G) with an operational fleet. A fleet of electric vehicles is operated with the objective of providing regulation services to the grid. The focus of this paper is on the real-time operation of the fleet. Specifically, given an optimal trajectory for the vehicle state of charge, schemes for distributing the regulation power commands among the vehicles are tested. A scheme based on a convex optimization problem is proposed. Several numerical illustrations and simulations show the effectiveness of the scheme respect to common scheduling heuristics in terms of accuracy.
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页数：5
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