Assessment of Electric Vehicle Charging Scenarios Based on Demographical Data
Journal article, 2012

A massive introduction of Plug-in Electric Vehicles(PEVs) in the transportation sector would likely increase the total electricity consumption. Depending on how and when the PEVs are charged the effects on the power demand will vary. Previous studies have shown that uncontrolled charge of PEVs can cause problems for the electrical distribution system. This paper proposes an approach to control PEVs charging based on the charging behavior estimated from the demographical statistical data. In this approach, three different charge strategies are designed and the impacts of PEVs charging on the electrical distribution system are assess using standard load flow calculations. A case study using the proposed approach examines the real situation in Gothenburg, located on the west coast of Sweden. The results from the study show that the impacts on the electrical distribution system due to PEVs vary between different areas. By controlling the charging, the impacts can be reduced but the choice of control methods must be chosen carefully. Furthermore, the results indicate that a well-developed public charging infrastructure could reduce the stress on the residential electrical distribution systems since part of the charging can be done in commercial areas.

Open loop radial distribution system

Electric vehicle (EV)

Plug-in electric vehicle (PEV)

Plug-in hybrid electric vehicle (PHEV)

Electric distribution system

Author

David Steen

Chalmers, Energy and Environment, Electric Power Engineering

Anh Tuan Le

Chalmers, Energy and Environment, Electric Power Engineering

Lina Bertling

Chalmers, Energy and Environment, Electric Power Engineering

Ola Carlson

Chalmers, Energy and Environment, Electric Power Engineering

IEEE Transactions on Smart Grid

1949-3053 (ISSN) 19493061 (eISSN)

Vol. 3 3 1457-1468 6209457

Areas of Advance

Transport

Energy

Subject Categories

Electrical Engineering, Electronic Engineering, Information Engineering

DOI

10.1109/TSG.2012.2195687

More information

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4/5/2022 6