Abstract
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.
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