EURO 2024 Copenhagen
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3015. Efficient representations for the scheduling of aggregate charging power of battery electric vehicles

Invited abstract in session MD-22: Energy transition and operations, stream Energy Management.

Monday, 14:30-16:00
Room: 81 (building: 116)

Authors (first author is the speaker)

1. Simon Tindemans
Department of Electrical Sustainable Energy, Delft University of Technology
2. Nanda Kishor Panda
Delft University of Technology

Abstract

Battery Electric Vehicles (BEVs) must connect to a charging point to recharge their batteries. They are often plugged in for longer than they need to gain sufficient charge, so there is scope for smart scheduling of charging within the available window. Moreover, as the maximum charging power increases, this flexibility potential increases, but so does its necessity: collectively, charging vehicles can easily overload the capacity of the local electricity grid.

Aggregators that control the charging of BEVs use smart charging to optimize the aggregate power demand, for example, to trade on electricity markets. However, even in a fully deterministic setting, direct scheduling of large numbers of BEV charging sessions (tens of thousands) becomes a significant computational burden, because the number of variables increases linearly with the number of vehicles. It would be better to directly represent the flexibility of the aggregate power, but calculating the aggregate flexibility envelope is in general an NP-hard problem.

I will present a flexibility representation (UL-flexibility) that can efficiently calculate the exact aggregate envelope, for the special case where all vehicles remain connected during a specified interval. This representation involves only 2T parameters and can efficiently be used to construct the polytope that constrains the aggregate power consumption of a fleet – independent on the number of BEVs.

Keywords

Status: accepted

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