Evaluation of Optimization-Based EV Charging Scheduling with Load Limit in a Realistic Scenario

Steffen Limmer
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Steffen Limmer: Honda Research Institute Europe GmbH, 63073 Offenbach, Germany

Energies, 2019, vol. 12, issue 24, 1-16

Abstract: In the literature, optimization-based approaches are frequently proposed for the control of electric vehicle charging. However, they are usually evaluated under simplifying assumptions and are not compared to more simple approaches. The present work compares optimization-based approaches with rule-based ones in a simple but realistic scenario, in which a certain limit for the total load has to be satisfied. The scenario is based on the situation at an office building in Germany. In simulation experiments, different control approaches are evaluated not only in terms of pure performance but also from an economic perspective. The results indicate that, although the optimization-based approaches outperform the rule-based approaches, they are not always the right choice from an economic point of view.

Keywords: electric vehicles; charging control; energy management; load prediction (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (2)

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