A Second-Order Cone Programming Model for Planning PEV Fast-Charging Stations

Abstract: 

This paper studies siting and sizing of plug-in electric vehicle (PEV) fast-charging stations on coupled transportation and power networks. We develop a closed-form model for PEV fast-charging stations' service abilities, which considers heterogeneous PEV driving ranges and charging demands. We utilize a modified capacitated flow refueling location model based on subpaths (CFRLM_SP) to explicitly capture time-varying PEV charging demands on the transportation network under driving range constraints. We explore extra constraints of the CFRLM_SP to enhance model accuracy and computational efficiency. We then propose a stochastic mixed-integer second-order cone programming model for PEV fast-charging station planning. The model considers the transportation network constraints of CFRLM_SP and the power network constraints with ac power flow. Numerical experiments are conducted to illustrate the effectiveness of the proposed method.

Author: 
Zhang, Hongcai
Moura, Scott J.
Hu, Zechun
Qi, Wei
Publication date: 
May 1, 2018
Publication type: 
Journal Article
Citation: 
Zhang, H., Moura, S. J., Hu, Z., Qi, W., & Song, Y. (2018). A Second-Order Cone Programming Model for Planning PEV Fast-Charging Stations. IEEE Transactions on Power Systems, 33(3), 2763–2777. https://doi.org/10.1109/TPWRS.2017.2754940