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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
Identifiers
URN: urn:nbn:se:kth:diva-139021DOI: 10.1016/j.apenergy.2013.10.027ISI: 000330908500005Scopus ID: 2-s2.0-84888260582OAI: oai:DiVA.org:kth-139021DiVA: diva2:682185
Funder
EU, FP7, Seventh Framework ProgrammeStandUp
Note

QC 20140131

Available from: 2013-12-24 Created: 2013-12-24 Last updated: 2017-12-06Bibliographically approved

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  • apa
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