MPC based energy management optimization for a European microgrid implementation
Paper number
1908Conference name
CIRED 2019Conference date
3-6 June 2019Conference location
Madrid, SpainPeer-reviewed
YesMetadata
Show full item recordAuthors
Gürses-Tran, Gonca, EON Energy Research Center - RWTH Aachen, GermanyMildt, 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.Publisher
AIMDate
2019-06-03Published in
Permanent link to this record
https://cired-repository.org/handle/20.500.12455/640http://dx.doi.org/10.34890/863