PEV Charging Control Considering Transformer Life and Experimental Validation of a 25 kVA Distribution Transformer

被引：33

作者：

Gong, Qiuming ^{[1
]}

Midlam-Mohler, Shawn ^{[2
]}

Serra, Emmanuele ^{[2
]}

Marano, Vincenzo ^{[3
]}

Rizzoni, Giorgio ^{[2
]}

机构：

[1] Ford Motor Co, Dearborn, MI 48124 USA

[2] Ohio State Univ, Ctr Automat Res, Dept Mech Engn, Columbus, OH 43212 USA

[3] Univ Salerno, Dept Ind Engn, I-84084 Fisciano, Italy

来源：

IEEE TRANSACTIONS ON SMART GRID | 2015年 / 6卷 / 02期

关键词：

Distribution transformer; grid interaction; plug-in electric vehicles (PEVs); smart charging; ELECTRIC VEHICLES; 2ND USE; INTEGRATION; IMPACT;

D O I：

10.1109/TSG.2014.2365452

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：

When considering the characteristics of electric power systems in the U.S., the local distribution is the most likely part to be adversely affected by the unregulated plug-in electric vehicle (PEV) charging. The increased load that can result from unregulated charging of PEVs could dramatically accelerate the aging of electrical transformers. In this paper, the control strategies that can mitigate or eliminate the accelerated aging that could result from load peaks caused by PEV charging is developed. The aging model makes it possible to develop charging control strategies that protect the transformer system while maximizing overall PEV charging quality. The charging control policy makes use of load prediction algorithms using data-driven models that are based on actual electricity consumption data. The experimental tests are done to calibrate the thermal model of a 25 kVA distribution transformer and validate the effectiveness of the control strategy.

引用

页码：648 / 656

页数：9

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