Change search
ReferencesLink to record
Permanent link

Direct link
A Model Predictive Control Approach to Microgrid Operation Optimization
KTH, School of Electrical Engineering (EES), Automatic Control. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.
2014 (English)In: IEEE Transactions on Control Systems Technology, ISSN 1063-6536, E-ISSN 1558-0865, Vol. 22, no 5, 1813-1827 p.Article in journal (Refereed) Published
Abstract [en]

Microgrids are subsystems of the distribution grid, which comprises generation capacities, storage devices, and controllable loads, operating as a single controllable system either connected or isolated from the utility grid. In this paper, we present a study on applying a model predictive control approach to the problem of efficiently optimizing microgrid operations while satisfying a time-varying request and operation constraints. The overall problem is formulated using mixed-integer linear programming (MILP), which can be solved in an efficient way by using commercial solvers without resorting to complex heuristics or decompositions techniques. Then, the MILP formulation leads to significant improvements in solution quality and computational burden. A case study of a microgrid is employed to assess the performance of the online optimization-based control strategy and the simulation results are discussed. The method is applied to an experimental microgrid located in Athens, Greece. The experimental results show the feasibility and the effectiveness of the proposed approach.

Place, publisher, year, edition, pages
2014. Vol. 22, no 5, 1813-1827 p.
Keyword [en]
Microgrids, mixed logical dynamical systems, mixed-integer linear programming (MILP), model predictive control (MPC), optimization
National Category
Control Engineering
URN: urn:nbn:se:kth:diva-139020DOI: 10.1109/TCST.2013.2295737ISI: 000345574100011ScopusID: 2-s2.0-84905244928OAI: diva2:682184
EU, FP7, Seventh Framework ProgrammeStandUp

QC 20140131

Available from: 2013-12-24 Created: 2013-12-24 Last updated: 2015-01-26Bibliographically 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
IEEE Transactions on Control Systems Technology
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: 267 hits
ReferencesLink to record
Permanent link

Direct link