PEV Fast-Charging Station Sizing and Placement in Coupled Transportation-Distribution Networks Considering Power Line Conditioning Capability

The locations and sizes of plug-in electric vehicle fast-charging stations (PEVFCS) can affect traffic flow in the urban transportation network (TN) and operation indices in the electrical energy distribution network (DN). PEVFCSs are supplied by the DNs, generally using power electronic devices. Th...

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Bibliographic Details
Published inIEEE transactions on smart grid Vol. 11; no. 6; pp. 4773 - 4783
Main Authors Hashemian, Seyed Nasrollah, Latify, Mohammad Amin, Yousefi, G. Reza
Format Journal Article
LanguageEnglish
Published Piscataway IEEE 01.11.2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Compensators
Conditioning
distribution network
Electric filters
Electric power distribution
Electric vehicle charging
Electronic devices
Energy distribution
fast-charging station
Harmonic analysis
harmonic mitigation
Integer programming
Linear programming
Load modeling
Mathematical model
Mixed integer
Numerical models
optimal placement
Optimization
plug-in electric vehicle
Power lines
Power system harmonics
Reactive power
reactive power compensation
Traffic flow
Urban transportation
Urban transportation network
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Summary:The locations and sizes of plug-in electric vehicle fast-charging stations (PEVFCS) can affect traffic flow in the urban transportation network (TN) and operation indices in the electrical energy distribution network (DN). PEVFCSs are supplied by the DNs, generally using power electronic devices. Thus, PEVFCSs could be used as power line conditioners, especially as active filters (for mitigating harmonic pollutions) and reactive power compensators. Accordingly, this paper proposes a mixed-integer linear programming model taking into account the traffic impacts and power line conditioning capabilities of PEVFCSs to determine optimal locations and sizes of PEVFCSs. Various load profile patterns and the variation of charging demand during the planning horizon are included in this model to consider different operation states of DN and TN. The proposed model is implemented in GAMS and applied to two standard test systems. Numerical results are provided for the case studies and various scenarios. The results confirm the ability and efficiency of the proposed model and its superiority to the existing models.
ISSN:1949-3053
1949-3061
DOI:10.1109/TSG.2020.3000113