A Charging Scheduling System For Electric Vehicles Using Vehicle-To-Grid

Nicklas K. Breum, Martin N. Joergensen,Christian A. Knudsen, Laerke B. Kristensen,Bin Yang

2019 20TH INTERNATIONAL CONFERENCE ON MOBILE DATA MANAGEMENT (MDM 2019)(2019)

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摘要
With the rise of sustainable energy sources, such as wind power, the energy production, and thus the energy price, fluctuates. Meanwhile, we are witnessing an increasing amount of electric vehicles, which soon will represent a substantial fraction of the electricity demand. Under this setting, the so-called vehicle-to-grid technology, which enables electric vehicles to sell electricity back to the power grid, appears to be an effective mean to reduce the charging costs for electric vehicles. We demonstrate a system that makes optimal scheduling for electric vehicle fleet owners using vehicle-to-grid. The principle of the scheduling is to charge electric vehicles when electricity is cheap and sell electricity back to the power grid when it is expensive, while making sure that the electric vehicles are sufficiently charged when they need to be used, e. g., 8 am in the morning. The system is integrated as part of aSTEP, a spatio-temporal data analytics platform developed at Aalborg University. In collaboration with a transportation-as-a-service company in Denmark, the system is tested through a use case that involves an electric vehicle fleet.
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关键词
electric vehicles,vehicle to grid,spatio temporal data analytics
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