Power scheduling in islanded-mode microgrids using fuel cell vehicles

Conference Paper (2017)
Author(s)

Farid Alavi (TU Delft - Mechanical Engineering)

Nathan Van De Wouw (Eindhoven University of Technology, TU Delft - Mechanical Engineering, University of Minnesota Twin Cities)

Bart De Schutter (TU Delft - Mechanical Engineering)

Research Group
Team Bart De Schutter
DOI related publication
https://doi.org/10.1109/CDC.2017.8264408 Final published version
More Info
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Publication Year
2017
Language
English
Research Group
Team Bart De Schutter
Pages (from-to)
5056-5061
ISBN (electronic)
978-150902873-3
Event
CDC 2017: 56th IEEE Annual Conference on Decision and Control (2017-12-12 - 2017-12-15), Melbourne, Australia
Downloads counter
148

Abstract

We consider power scheduling in a microgrid operated in the islanded mode. It is assumed that at any time all the renewable energy sources are generating the maximum achievable electrical power based on the weather conditions and the power balance of the microgrid is exclusively done by a fleet of fuel cell cars. As a result, the uncertainty in the prediction of the load will also make the future power generation of the fuel cell cars uncertain and, hence, a robust control method should be used to operate the fuel cell cars. We develop a min-max model predictive control approach to schedule the power generation profile of the fuel cell cars. Furthermore, we develop an alternative approach, a min-max disturbance feedback approach, in order to reduce the conservatism of the min-max approach. Finally, an illustrative case study shows the performance of the proposed approaches.