Robust and real-time state estimation of unstable microgrids over IoT networks

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dc.contributor.authorNoor-A-Rahim, Md.
dc.contributor.authorKhyam, Mohammad Omar
dc.contributor.authorMahmud, M. Apel
dc.contributor.authorul Huque, M. Tanvir Ishtaique
dc.contributor.authorLi, Xinde
dc.contributor.authorPesch, Dirk
dc.contributor.authorOo, Amanullah M. T.
dc.contributor.funderScience Foundation Irelanden
dc.contributor.funderEuropean Regional Development Funden
dc.contributor.funderHorizon 2020en
dc.contributor.funderNational Natural Science Foundation of Chinaen
dc.contributor.funderState Key Laboratory of Synthetical Automation for Process Industriesen
dc.date.accessioned2020-09-04T10:27:37Z
dc.date.available2020-09-04T10:27:37Z
dc.date.issued2020-06-09
dc.description.abstractSmart grid is expected to make use of Internet-of-Things (IoT) networks to reliably monitor its state from remote places.However, due to a potentially unstable nature of a smart grid plant, in particular, when using renewable energy sources, and an unreliable wireless channel used in IoT, it is a challenging task to reliably track the state of smart grids. This article proposes a robust communication framework for state estimation/tracking of unstable microgrids, which is a key component of a smart grid. We present an IoT-integrated smart grid system to monitor the status of microgrids over a wireless network. A delay-universal-based error correction code is utilized to achieve a reliable and real-time estimation of microgrids. To exploit the features of the delay-universal coding scheme, we propose an iterative estimation technique. Through numerical results, we show that the proposed scheme can closely track the state of an unstable microgrid. We also show the impact of wireless network parameters on the estimation performance. The estimation performance of the proposed scheme is compared with the estimation performance of a traditional error correction coding scheme. We show that the proposed scheme substantially outperforms the traditional scheme.en
dc.description.sponsorshipNational Natural Science Foundation of China (Grant 61573097 and Grant 91748106); State Key Laboratory of Synthetical Automation for Process Industries (Grant PALN201704)en
dc.description.statusPeer revieweden
dc.description.versionAccepted Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationNoor-A-Rahim, M., Khyam, M. O., Mahmud, M. A.; ul Huque, M. T. I., Li, X., Pesch, D. and Oo, A. M. T. (2020) 'Robust and real-time state estimation of unstable microgrids over IoT networks', IEEE Systems Journal. doi: 10.1109/JSYST.2020.2997065en
dc.identifier.doi10.1109/JSYST.2020.2997065en
dc.identifier.eissn1937-9234
dc.identifier.endpage10
dc.identifier.issn1932-8184
dc.identifier.journaltitleIEEE Systems Journalen
dc.identifier.startpage1
dc.identifier.urihttps://hdl.handle.net/10468/10473
dc.language.isoenen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.relation.projectinfo:eu-repo/grantAgreement/SFI/SFI Research Centres/13/RC/2077/IE/CONNECT: The Centre for Future Networks & Communications/en
dc.relation.projectinfo:eu-repo/grantAgreement/EC/H2020::MSCA-COFUND-FP/713567/EU/Cutting Edge Training - Cutting Edge Technology/EDGEen
dc.rights© 2020, 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.en
dc.subjectInternet-of-things (IoT)en
dc.subjectMicrogriden
dc.subjectSmartgriden
dc.subjectReal-time estimation and controlen
dc.titleRobust and real-time state estimation of unstable microgrids over IoT networksen
dc.typeArticle (peer-reviewed)en
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