MPC based energy management optimization for a European microgrid implementation
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Paper number
1908
Working Group Number
Conference name
CIRED 2019
Conference date
3-6 June 2019
Conference location
Madrid, Spain
Peer-reviewed
Yes
Short title
Convener
Authors
Gürses-Tran, Gonca, EON Energy Research Center - RWTH Aachen, Germany
Mildt, Dominik, EON Energy Research Center - RWTH Aachen, Germany
Hirst, Michael, E.ON UK, United Kingdom
Cupelli, Marco, EON Energy Research Center - RWTH Aachen, Germany
Monti, Antonello, EON Energy Research Center - RWTH Aachen, Germany
Mildt, Dominik, EON Energy Research Center - RWTH Aachen, Germany
Hirst, Michael, E.ON UK, United Kingdom
Cupelli, Marco, EON Energy Research Center - RWTH Aachen, Germany
Monti, Antonello, EON Energy Research Center - RWTH Aachen, Germany
Abstract
This paper presents a case study of two approaches for optimal microgrid control. The simulations are based on a real test site located in Sweden. One of the two presented models replicates the actual implemented rule based control (RBC) that is currently realized on the test site. The second model applies a model predictive control (MPC) scheme assuming the same system and boundary conditions. The performance is assessed in terms of maximizing the islanding time, signifying the time the microgrid (MG) can disconnect from the remaining distribution grid.
Table of content
Keywords
Publisher
AIM
Date
2019-06-03
Published in
Permanent link to this record
https://cired-repository.org/handle/20.500.12455/640
http://dx.doi.org/10.34890/863
http://dx.doi.org/10.34890/863
ISSN
2032-9644
ISBN
978-2-9602415-0-1