Use of Model Predictive Control for Experimental Microgrid Optimization
2013 (English)In: Applied Energy, ISSN 0306-2619, E-ISSN 1872-9118, Vol. 115, 37-46 p.Article in journal (Refereed) Published
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.
Microgrids, Mixed Integer Linear Programming, Model predictive control, Optimization
IdentifiersURN: urn:nbn:se:kth:diva-139021DOI: 10.1016/j.apenergy.2013.10.027ISI: 000330908500005ScopusID: 2-s2.0-84888260582OAI: oai:DiVA.org:kth-139021DiVA: diva2:682185
FunderEU, FP7, Seventh Framework ProgrammeStandUp
QC 201401312013-12-242013-12-242014-03-13Bibliographically approved