Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/169109
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dc.contributor.authorQiu, Haifengen_US
dc.contributor.authorGooi, Hoay Bengen_US
dc.date.accessioned2023-06-30T04:55:21Z-
dc.date.available2023-06-30T04:55:21Z-
dc.date.issued2023-
dc.identifier.citationQiu, H. & Gooi, H. B. (2023). Identifying differential scheduling plans for microgrid operations under diverse uncertainties. IEEE Transactions On Sustainable Energy, 14(1), 309-324. https://dx.doi.org/10.1109/TSTE.2022.3211865en_US
dc.identifier.issn1949-3029en_US
dc.identifier.urihttps://hdl.handle.net/10356/169109-
dc.description.abstractTo satisfy the differential operation requirements of microgrids under the nominal and uncertain scenarios, a novel three-stage close-looped robust optimization (TSCL-RO) method is proposed to obtain more practical scheduling plans. In the first stage, the fixed startup and shutdown plans are identified considering both the cutting planes from the nominal and uncertain scenarios. According to the startup/shutdown schemes, the decision-making of the basic flexible plans under the nominal scenario is performed to minimize the operation cost in the second stage considering the second-order cone relaxed distflow model. To confront the disturbances from the power and N-k uncertainties, the basic flexible variables are revised to capture the worst-case scenario via a max-min bi-level optimization in the third stage, and the derived results are returned as feasibility cuts to preserve the robustness of the fixed plans. To solve this intractable TSCL-RO model proficiently, a tailored bi-layer chaining decomposition algorithm is further devised to handle the resulting multi-level mixed-integer second-order cone programming (MISOCP) via alternate iterations. Finally, numerical simulations verify the applicability and superiority of the investigated TSCL-RO model and the decomposition algorithm.en_US
dc.description.sponsorshipNational Research Foundation (NRF)en_US
dc.language.isoenen_US
dc.relationNRF2019NRFCG002-002en_US
dc.relationN62909-19-1-2037en_US
dc.relation.ispartofIEEE Transactions on Sustainable Energyen_US
dc.rights© 2022 IEEE. All rights reserved.en_US
dc.subjectEngineering::Electrical and electronic engineeringen_US
dc.titleIdentifying differential scheduling plans for microgrid operations under diverse uncertaintiesen_US
dc.typeJournal Articleen
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.identifier.doi10.1109/TSTE.2022.3211865-
dc.identifier.scopus2-s2.0-85146327246-
dc.identifier.issue1en_US
dc.identifier.volume14en_US
dc.identifier.spage309en_US
dc.identifier.epage324en_US
dc.subject.keywordsDecomposition Algorithmen_US
dc.subject.keywordsMicrogrid Schedulingen_US
dc.description.acknowledgementThis work was supported in part by the National Research Foundation, Singapore, EMA and ESG under Award NRF2019NRFCG002-002 and in part by the Department of the Navy, Office of Naval Research Global under Award N62909-19-1-2037. Paper no. TSTE-00356-2022.en_US
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item.fulltextNo Fulltext-
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