Abstract
Environmental concerns and urban air pollution are major drivers for the transition from combustion engines to electric vehicles. To support a large-scale adoption of electric vehicles an efficient charging infrastructure roll-out is required. However, the optimal planning of charging stations is a non-trivial task, as it requires coordination between planning activities in the transportation and the power distribution network. Historically, the modeling of these two networks has been approached from different research areas and with the use of different methodologies. As a result, few papers embrace the combined problem to its full extent and the literature is highly scattered and represents different model perspectives and the targeting of many different objectives. In the paper, we present a systematic review of the literature that considers the combined investigation of transportation and distribution networks, with a focus on objectives, methodology and scope. It allows us to describe the current state of the art, to highlight research gaps and to propose directions for future work of the research community. The identified research gaps include, but are not limited to: 1) a general lack of integrated modeling approaches, 2) the need for increasingly detailed modeling of charging demand that accounts for randomness and variability in space and time rather than averages to support power grid planning, 3) the need to consider a mix of different types of charging options rather than only fast charging and 4) the need to shift from standard test networks and theoretical based planning approaches to large-scale and real-world case studies.
| Original language | English |
|---|---|
| Article number | 100163 |
| Journal | eTransportation |
| Volume | 12 |
| Number of pages | 20 |
| DOIs | |
| Publication status | Published - 2022 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 11 Sustainable Cities and Communities
Keywords
- Electric vehicles
- Public charging infrastructure
- Charging infrastructure planning
- Transportation network
- Integrated transportation and power system modeling
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