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Spatial Markov chain model for electric vehicle charging in cities using geographical information system (GIS) data

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  • Shepero, Mahmoud
  • Munkhammar, Joakim

Abstract

In the recent years, the number of electric vehicles (EVs) on the road have been rapidly increasing. Charging this increasing number of EVs is expected to have an impact on the electricity grid especially if high charging powers and opportunistic charging are used. Several models have been proposed to quantify this impact. Multiple papers have observed that the charging stations are used by multiple users during the day. However, this observation was not assumed in any previous model. Moreover, none of the previous models relied on geospatial maps to extract information about the parking lots—where charging stations are installed—and the charging profiles of the potential users of these charging stations.

Suggested Citation

  • Shepero, Mahmoud & Munkhammar, Joakim, 2018. "Spatial Markov chain model for electric vehicle charging in cities using geographical information system (GIS) data," Applied Energy, Elsevier, vol. 231(C), pages 1089-1099.
  • Handle: RePEc:eee:appene:v:231:y:2018:i:c:p:1089-1099
    DOI: 10.1016/j.apenergy.2018.09.175
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    References listed on IDEAS

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