Change search
ReferencesLink to record
Permanent link

Direct link
Use of Model Predictive Control for Experimental Microgrid Optimization
KTH, School of Electrical Engineering (EES), Automatic Control. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.
2013 (English)In: Applied Energy, ISSN 0306-2619, E-ISSN 1872-9118, Vol. 115, 37-46 p.Article in journal (Refereed) Published
Abstract [en]

In this paper we deal with the problem of efficiently optimizing microgrid operations while satisfying a time-varying request and operation constraints. Microgrids are subsystems of the distribution grid comprising sufficient generating resources to operate in isolation from the main grid, in a deliberate and controlled way. The Model Predictive Control (MPC) approach is applied for achieving economic efficiency in microgrid operation management. The method is thus applied to an experimental microgrid located in Athens, Greece: experimental results show the feasibility and the effectiveness of the proposed approach.

Place, publisher, year, edition, pages
2013. Vol. 115, 37-46 p.
Keyword [en]
Microgrids, Mixed Integer Linear Programming, Model predictive control, Optimization
National Category
Control Engineering
URN: urn:nbn:se:kth:diva-139021DOI: 10.1016/j.apenergy.2013.10.027ISI: 000330908500005ScopusID: 2-s2.0-84888260582OAI: diva2:682185
EU, FP7, Seventh Framework ProgrammeStandUp

QC 20140131

Available from: 2013-12-24 Created: 2013-12-24 Last updated: 2014-03-13Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textScopus

Search in DiVA

By author/editor
Parisio, Alessandra
By organisation
Automatic ControlACCESS Linnaeus Centre
In the same journal
Applied Energy
Control Engineering

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 69 hits
ReferencesLink to record
Permanent link

Direct link