Stochastic-Predictive Energy Management System for Isolated Microgrids

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dc.contributor.authorOlivares, Daniel E.
dc.contributor.authorLara, Jose D.
dc.contributor.authorCanizares, Claudio A.
dc.contributor.authorKazerani, Mehrdad
dc.date.accessioned2025-08-06T15:25:38Z
dc.date.available2025-08-06T15:25:38Z
dc.date.issued2015-09-14
dc.description(© 2015 IEEE) Olivares, D. E., Lara, J. D., Canizares, C. A., & Kazerani, M. (2015). Stochastic-predictive energy management system for isolated microgrids. IEEE Transactions on Smart Grid, 6(6), 2681–2693. https://doi.org/10.1109/tsg.2015.2469631
dc.description.abstractThis paper presents the mathematical formulation and control architecture of a stochastic-predictive energy management system for isolated microgrids. The proposed strategy addresses uncertainty using a two-stage decision process combined with a receding horizon approach. The first stage decision variables (unit commitment) are determined using a stochastic mixed-integer linear programming formulation, whereas the second stage variables (optimal power flow) are refined using a nonlinear programming formulation. This novel approach was tested on a modified CIGRE test system under different configurations comparing the results with respect to a deterministic approach. The results show the appropriateness of the method to account for uncertainty in the power forecast.
dc.description.sponsorshipHatch Ltd. through an Natural Resources Canada ecoEnergy II Project CONICYT/FONDAP/15110019.
dc.identifier.doi10.1109/tsg.2015.2469631
dc.identifier.issn1949-3053
dc.identifier.issn1949-3061
dc.identifier.urihttps://doi.org/10.1109/TSG.2015.2469631
dc.identifier.urihttps://hdl.handle.net/10012/22107
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartofIEEE Transactions on Smart Grid
dc.relation.ispartofseriesIEEE Transactions on Smart Grid; 6(6)
dc.subjectOPF
dc.subjectmicrogrid
dc.subjectstochastic programming
dc.subjectenergy management system
dc.subjectmodel predictive control
dc.subjectoptimal dispatch
dc.titleStochastic-Predictive Energy Management System for Isolated Microgrids
dc.typeArticle
dcterms.bibliographicCitationOlivares, D. E., Lara, J. D., Canizares, C. A., & Kazerani, M. (2015). Stochastic-predictive energy management system for isolated microgrids. IEEE Transactions on Smart Grid, 6(6), 2681–2693. https://doi.org/10.1109/tsg.2015.2469631
oaire.citation.issue6
oaire.citation.volume6
uws.contributor.affiliation1Faculty of Engineering
uws.contributor.affiliation2Electrical and Computer Engineering
uws.peerReviewStatusReviewed
uws.scholarLevelFaculty
uws.typeOfResourceTexten

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