OPTIMAL CONTROL OF PEV CHARGING BASED ON RESIDENTIAL BASE LOAD PREDICTION

被引：0

作者：

Gong, Qiuming ^{[1
]}

Midlam-Mohler, Shawn ^{[1
]}

Marano, Vincenzo ^{[1
]}

Rizzoni, Giorgio ^{[1
]}

机构：

[1] Ohio State Univ, Dept Mech Engn, Columbus, OH 43212 USA

来源：

PROCEEDINGS OF THE ASME DYNAMIC SYSTEMS AND CONTROL CONFERENCE AND BATH/ASME SYMPOSIUM ON FLUID POWER AND MOTION CONTROL (DSCC 2011), VOL 1 | 2012年

关键词：

FUNDAMENTAL APPROACH; ELECTRICITY DEMAND;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Due to the characteristics of electric power generation, transmission and distribution in the U.S., experts have identified local distribution as a likely component of the chain to be adversely affected by unregulated FEY (Plug-in Hybrid Electric Vehicle/Electric Vehicle) charging. This paper studied the optimal control of FEY charging considering the loss of life of residential distribution transformer based on the prediction of residential base load. The prediction was studied using an autoregressive moving average (ARMA) model. A dynamic thermal model was used for prediction of the transformer hot-spot temperature with the information on power load and ambient temperature. The loss of life model including the dynamic thermal model was integrated into the optimization problem. The objective of the optimal control is to minimize the loss of life of transformer Finally, a genetic algorithm (GA) was used for searching the optimal solution of PEV charging based on the predicted base load.

引用

页码：727 / 734

页数：8