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.
Original language | English |
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Title of host publication | 2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017 |
Place of Publication | Piscataway |
Publisher | Institute of Electrical and Electronics Engineers |
Pages | 5056-5061 |
Number of pages | 6 |
ISBN (Electronic) | 978-1-5090-2873-3 |
ISBN (Print) | 978-1-5090-2874-0 |
DOIs | |
Publication status | Published - 18 Jan 2018 |
Event | 56th IEEE Conference on Decision and Control (CDC 2017) - Melbourne, VIC, Australia, Melbourne, Australia Duration: 12 Dec 2017 → 15 Dec 2017 Conference number: 56 http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=8253407 |
Conference
Conference | 56th IEEE Conference on Decision and Control (CDC 2017) |
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Abbreviated title | CDC 2017 |
Country/Territory | Australia |
City | Melbourne |
Period | 12/12/17 → 15/12/17 |
Internet address |