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

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...

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Vydáno v:IEEE transactions on power systems Ročník 33; číslo 3; s. 2763 - 2777
Hlavní autoři: Zhang, Hongcai, Moura, Scott J., Hu, Zechun, Qi, Wei, Song, Yonghua
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York IEEE 01.05.2018
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Charging
charging station
Charging stations
Computational modeling
Computing time
Constraint modelling
Couplings
Electric vehicles
heterogeneous driving ranges
Investment
Model accuracy
Planning
Plug-in electric vehicle
Power flow
power system
second order cone programming
Stations
transportation
Transportation networks
ISSN:0885-8950, 1558-0679
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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.
AbstractList 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 Hu, Zechun
Song, Yonghua
Moura, Scott J.
Zhang, Hongcai
Qi, Wei
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  organization: Department of Electrical Engineering, Tsinghua University, Beijing, China
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  surname: Moura
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  surname: Hu
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  email: yhsong@tsinghua.edu.cn
  organization: Department of Electrical Engineering, Tsinghua University, Beijing, China
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Snippet This paper studies siting and sizing of plug-in electric vehicle (PEV) fast-charging stations on coupled transportation and power networks. We develop a...
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SubjectTerms Charging
charging station
Charging stations
Computational modeling
Computing time
Constraint modelling
Couplings
Electric vehicles
heterogeneous driving ranges
Investment
Model accuracy
Planning
Plug-in electric vehicle
Power flow
power system
second order cone programming
Stations
transportation
Transportation networks
Title A Second-Order Cone Programming Model for Planning PEV Fast-Charging Stations
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