Stochastic Model Predictive Control for economic/environmental operation management of microgrids
2013 (English)In: 2013 European Control Conference, ECC 2013, IEEE , 2013, 2014-2019 p.Conference paper (Refereed)
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.
Effective performance, Microgrid operations, Mixed integer linear programming, Operation constraint, Renewable energy source, Stochastic framework, Stochastic optimization problems, Two-stage stochastic programming
IdentifiersURN: urn:nbn:se:kth:diva-143161ISI: 000332509702067ScopusID: 2-s2.0-84893328141ISBN: 978-303303962-9OAI: oai:DiVA.org:kth-143161DiVA: diva2:705866
2013 12th European Control Conference, ECC 2013; Zurich; Switzerland; 17 July 2013 through 19 July 2013
QC 201403182014-03-182014-03-172014-04-24Bibliographically approved