AI-based Decision Support for Sustainable Operation of Electric Vehicle Charging Parks

Titelangaben

Baumgarte, Felix ; Dombetzki, Luca ; Kecht, Christoph ; Wolf, Linda ; Keller, Robert:
AI-based Decision Support for Sustainable Operation of Electric Vehicle Charging Parks.
In: Proceedings of the 54th Hawaii International Conference on System Sciences (HICSS). - Honolulu, USA , 2021
ISBN 978-0-9981331-4-0

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Abstract

The widespread adoption of electric vehicles makes investments in charging parks both immediate and necessary to lower range anxiety and allow longer trips. However, many charging park operators struggle with sustainable and profitable operation due to high fees on peak loads and volatile availability of renewable energy. Smart charging strategies may enable such operation, but the computational complexity of most available algorithms increases significantly with the number of charging points. Thus, operators of larger charging parks need information systems that provide real-time decision support without immense cost for computation. This paper presents a model that uses recent methods from the field of Reinforcement Learning. Our model is trained on a charging park simulation with realworld data on highway traffic and day ahead energy prices. The results indicate that Reinforcement Learning is a feasible solution to improve the sustainable and profitable operation of large electric vehicle charging parks. und folgende Keywords hinzu: electric vehicle, charging park, reinforcement learning, smart charging, decision support.