TY - JOUR
T1 - Electric Vehicle Charging Station Placement Method for Urban Areas
AU - Cui, Qiushi
AU - Weng, Yang
AU - Tan, Chin Woo
N1 - Funding Information:
Manuscript received August 31, 2018; revised November 30, 2018 and March 19, 2019; accepted March 20, 2019. Date of publication March 25, 2019; date of current version October 30, 2019. This work was supported in part by the National Science Foundation under Grant 1810537. Paper no. TSG-01273-2018. (Corresponding author: Qiushi Cui.) Q. Cui and Y. Weng are with the Department of Electrical and Computer Engineering, Arizona State University, Tempe, AZ 85281 USA (e-mail: qiushi.cui@asu.edu; yang.weng@asu.edu).
Publisher Copyright:
© 2010-2012 IEEE.
PY - 2019/11
Y1 - 2019/11
N2 - For accommodating more electric vehicles (EVs) to battle against fossil fuel emission, the problem of charging station placement is inevitable and could be costly if done improperly. Research considers a general setup using conditions such as driving ranges for planning. However, most of the EV growths in the next decades will happen in urban areas where driving range is not the biggest concern. For such a need, we consider several practical aspects of urban systems, such as voltage regulation cost and protection device upgrade resulting from the large integration of EVs. Notably, our diversified objective can reveal the trade-off between different factors in different cities worldwide. To understand the global optimum of large-scale analysis, we studied each feature to preserve the problem convexity. Our sensitivity analysis before and after convexification shows that our approach is not only universally applicable but also has a small approximation error for prioritizing the most urgent constraint in a specific setup. Finally, numerical results demonstrate the trade-off, the relationship between different factors and the global objective, and the small approximation error. A unique observation in this paper shows the importance of incorporating the protection device upgrade in urban system planning on charging stations.
AB - For accommodating more electric vehicles (EVs) to battle against fossil fuel emission, the problem of charging station placement is inevitable and could be costly if done improperly. Research considers a general setup using conditions such as driving ranges for planning. However, most of the EV growths in the next decades will happen in urban areas where driving range is not the biggest concern. For such a need, we consider several practical aspects of urban systems, such as voltage regulation cost and protection device upgrade resulting from the large integration of EVs. Notably, our diversified objective can reveal the trade-off between different factors in different cities worldwide. To understand the global optimum of large-scale analysis, we studied each feature to preserve the problem convexity. Our sensitivity analysis before and after convexification shows that our approach is not only universally applicable but also has a small approximation error for prioritizing the most urgent constraint in a specific setup. Finally, numerical results demonstrate the trade-off, the relationship between different factors and the global objective, and the small approximation error. A unique observation in this paper shows the importance of incorporating the protection device upgrade in urban system planning on charging stations.
KW - Electric vehicle charging station
KW - convexification
KW - distribution grid
KW - protective devices upgrade
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U2 - 10.1109/TSG.2019.2907262
DO - 10.1109/TSG.2019.2907262
M3 - Article
AN - SCOPUS:85071365020
SN - 1949-3053
VL - 10
SP - 6552
EP - 6565
JO - IEEE Transactions on Smart Grid
JF - IEEE Transactions on Smart Grid
IS - 6
M1 - 8673613
ER -