Real-Time Charging Strategies for an Electric Vehicle Aggregator to Provide Ancillary Services

被引：102

作者：

Wenzel, George ^{[1
]}

Negrete-Pincetic, Mallas ^{[1
]}

Olivares, Daniel E. ^{[1
]}

MacDonald, Jason ^{[2
]}

Callaway, Duncan S. ^{[3
]}

机构：

[1] Pontificia Univ Catolica Chile, Dept Elect Engn, OCM Lab, Santiago 7820436, Chile

[2] Lawrence Berkeley Natl Lab, Berkeley, CA 94720 USA

[3] Univ Calif Berkeley, Energy Resources Grp, Berkeley, CA 94720 USA

来源：

IEEE TRANSACTIONS ON SMART GRID | 2018年 / 9卷 / 05期

基金：

美国国家科学基金会;

关键词：

Electric vehicles; resource scheduling; ancillary services; vehicle to grid; TO-GRID CONTROL; FREQUENCY REGULATION;

D O I：

10.1109/TSG.2017.2681961

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：

Real-time charging strategies, in the context of vehicle to grid technology, are needed to enable the use of electric vehicle fleets batteries to provide ancillary services. In this paper, we develop tools to manage charging and discharging in a fleet to track an automatic generation control signal when aggregated. We propose a real-time controller that considers bidirectional charging efficiency and extend it to study the effect of looking ahead when implementing model predictive control. Simulations show that the controller improves tracking error as compared with benchmark scheduling algorithms, as well as regulation capacity and battery cycling.

引用

页码：5141 / 5151

页数：11

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