Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/142037
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dc.contributor.authorSampath, Lahanda Purage Mohasha Isuruen_US
dc.contributor.authorKrishnan, Ashoken_US
dc.contributor.authorFoo, Eddy Yi Shyhen_US
dc.contributor.authorGooi, Hoay Bengen_US
dc.date.accessioned2020-06-15T03:55:05Z-
dc.date.available2020-06-15T03:55:05Z-
dc.date.issued2019-
dc.identifier.citationSampath, L. P. M. I., Krishnan, A., Foo, E. Y. S., & Gooi, H. B. (2020). Cooperative bidding-based robust optimal energy management of multimicrogrids. IEEE Transactions on Industrial Informatics, 16(9), 5757-5768. doi:10.1109/TII.2019.2955991en_US
dc.identifier.issn1551-3203en_US
dc.identifier.urihttps://hdl.handle.net/10356/142037-
dc.description.abstractThe increasing penetration of renewable energy sources (RESs) has led to the proliferation of microgrids (MGs) in the power system. Recently, the concept of multimicrogrid (MMG) systems has come into prominence due to the economic benefits accrued through the sharing of resources between the constituent MGs. The uncertainties caused by the penetration of RESs necessitate the usage of advanced optimization procedures to manage the MMG system. This article proposes a robust optimization (RO) framework to determine the day-ahead schedule of an MMG system. Unlike the existing works in the literature, the proposed RO framework preserves the nonanticipativity in reserve scheduling. The proposed RO framework also includes a cooperative bidding-based trading scheme to facilitate the sharing of energy and reserves between the constituent MGs in the MMG system. The results highlight the economic benefits obtained through the sharing of resources between the constituent MGs in an MMG system. Furthermore, the results also demonstrate that the proposed nonanticipative RO framework performs better in terms of robustness when compared with the existing RO frameworks for MMG systems in the literature.en_US
dc.description.sponsorshipMOE (Min. of Education, S’pore)en_US
dc.language.isoenen_US
dc.relation2018-T1-002-093en_US
dc.relation.ispartofIEEE Transactions on Industrial Informaticsen_US
dc.rights© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: https://doi.org/10.1109/TII.2019.2955991.en_US
dc.subjectEngineering::Electrical and electronic engineering::Electric power::Production, transmission and distributionen_US
dc.titleCooperative bidding-based robust optimal energy management of multimicrogridsen_US
dc.typeJournal Articleen
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.contributor.schoolInterdisciplinary Graduate School (IGS)en_US
dc.identifier.doi10.1109/TII.2019.2955991-
dc.description.versionAccepted versionen_US
dc.identifier.issue9en_US
dc.identifier.volume16en_US
dc.identifier.spage5757en_US
dc.identifier.epage5768en_US
dc.subject.keywordsDay-ahead Planningen_US
dc.subject.keywordsDistributed Optimizationen_US
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