Change search
ReferencesLink to record
Permanent link

Direct link
Stochastic Model Predictive Control for economic/environmental operation management of microgrids
KTH, School of Electrical Engineering (EES), Automatic Control. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.
2013 (English)In: 2013 European Control Conference, ECC 2013, IEEE , 2013, 2014-2019 p.Conference paper (Refereed)
Abstract [en]

Microgrids are subsystems of the distribution grid which comprises generation capacities, storage devices and controllable loads, which can operate either connected or isolated from the utility grid. In this work, microgrid management system is developed in a stochastic framework. Uncertainties due to fluctuating demand and generation from renewable energy sources are taken into account and a two-stage stochastic programming approach is applied to efficiently optimize microgrid operations while satisfying a time-varying request and operation constraints. Mathematically, the stochastic optimization problem is stated as a mixed-integer linear programming problem, which can be solved in an efficient way by using commercial solvers. The stochastic problem is incorporated in a Model Predictive Control (MPC) scheme to further compensate the uncertainty though the feedback mechanism. Simulations show the effective performance of the proposed approach.

Place, publisher, year, edition, pages
IEEE , 2013. 2014-2019 p.
Keyword [en]
Effective performance, Microgrid operations, Mixed integer linear programming, Operation constraint, Renewable energy source, Stochastic framework, Stochastic optimization problems, Two-stage stochastic programming
National Category
Control Engineering
URN: urn:nbn:se:kth:diva-143161ISI: 000332509702067ScopusID: 2-s2.0-84893328141ISBN: 978-303303962-9OAI: diva2:705866
2013 12th European Control Conference, ECC 2013; Zurich; Switzerland; 17 July 2013 through 19 July 2013

QC 20140318

Available from: 2014-03-18 Created: 2014-03-17 Last updated: 2014-04-24Bibliographically approved

Open Access in DiVA

No full text


Search in DiVA

By author/editor
Parisio, Alessandra
By organisation
Automatic ControlACCESS Linnaeus Centre
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

Total: 64 hits
ReferencesLink to record
Permanent link

Direct link