Abstract
Dynamic wireless charging for electric vehicles is an emerging technology to provide an alternative solution for onboard battery reduction and driving range extension. Because of their unique characteristic of very short charging times and relatively high power levels, high-power dynamic wireless charging systems (DWCSs) introduce significant challenges to grid integration. In this paper, a comprehensive study of the high-power DWCS on grid integration control and impact analysis into distribution networks is conducted. Due to the unique load profile of DWCSs with power pulsations and the inherent imbalanced situations of a distribution network, a control strategy based on direct power control is proposed for the grid interface of DWCS to enhance the load transient response and ensure the stable operation. Considering that the load profile of DWCSs closely relates to traffic volumes and the approaching vehicle speeds, a 24-h load profile is developed based on Annual Average Daily Traffic (AADT) data and a stochastic model to analyze the grid impact of high-power DWCSs in a distribution network. Case studies on a modified IEEE 13-bus distribution network are presented to validate the effectiveness of the proposed approach.
Original language | English |
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Article number | 9314103 |
Pages (from-to) | 6746-6755 |
Number of pages | 10 |
Journal | IEEE Access |
Volume | 9 |
DOIs | |
State | Published - 2021 |
Funding
The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes. The Department of Energy will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan). This research used resources available at the Power Electronics and Electric Machinery Research Facility, a DOE EERE User Facility operated by the Oak Ridge National Laboratory (ORNL). The authors would like to thank David Smith (ORNL) and Lee Slezak (US Department of Energy) for their support of this work. This work is completed under the US Department of Energy Vehicle Technologies Office funded High Power and Dynamic Charging of EVs project. This work was supported by the Oak Ridge National Laboratory, operated by UT-Battelle, LLC, with the U.S. Department of Energy, under Contract DE-AC05-00OR22725.
Funders | Funder number |
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U.S. Department of Energy | DE-AC05-00OR22725 |
Oak Ridge National Laboratory |
Keywords
- Dynamic wireless charging
- Possion distribution
- direct power control
- distribution network
- grid impact
- traffic stochastic model
- voltage profile