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dc.contributor.authorDu, Y.en_US
dc.contributor.authorWu, J.en_US
dc.contributor.authorLong, C.en_US
dc.contributor.authorPaschalidis, Ioannis Ch.en_US
dc.date.accessioned2020-01-09T20:32:16Z
dc.date.available2020-01-09T20:32:16Z
dc.date.issued2019
dc.identifier.citationY. Du, J. Wu, C. Long, I Ch Paschalidis. 2019. "Distributed MPC for Coordinated Energy Efficiency Utilization in Microgrid Systems." IEEE Transactions on Smart Grid, Volume 10, Issue 2, pp. 1781 - 1790. https://doi.org/10.1109/TSG.2017.2777975
dc.identifier.urihttps://hdl.handle.net/2144/39066
dc.description.abstractTo improve the renewable energy utilization of distributed microgrid systems, this paper presents an optimal distributed model predictive control strategy to coordinate energy management among microgrid systems. In particular, through information exchange among systems, each microgrid in the network, which includes renewable generation, storage systems, and some controllable loads, can maintain its own systemwide supply and demand balance. With our mechanism, the closed-loop stability of the distributed microgrid systems can be guaranteed. In addition, we provide evaluation criteria of renewable energy utilization to validate our proposed method. Simulations show that the supply demand balance in each microgrid is achieved while, at the same time, the system operation cost is reduced, which demonstrates the effectiveness and efficiency of our proposed policy.en_US
dc.format.extentp. 1781 - 1790en_US
dc.language.isoen_US
dc.publisherIEEEen_US
dc.relation.ispartofIEEE Transactions on Smart Grid
dc.subjectMicrogridsen_US
dc.subjectEnergy management strategyen_US
dc.subjectDistributed model predictive controlen_US
dc.subjectRenewable energy sourcesen_US
dc.subjectCoordinated schedulingen_US
dc.subjectElectrical and electronic engineeringen_US
dc.subjectInterdisciplinary engineeringen_US
dc.titleDistributed MPC for coordinated energy efficiency utilization in microgrid systemsen_US
dc.typeArticleen_US
dc.description.versionAccepted manuscripten_US
dc.identifier.doi10.1109/TSG.2017.2777975
pubs.elements-sourcemanual-entryen_US
pubs.notesin print optvolume: optnumber: optpages: optmonth:en_US
pubs.notesEmbargo: Not knownen_US
pubs.organisational-groupBoston Universityen_US
pubs.organisational-groupBoston University, College of Engineeringen_US
pubs.organisational-groupBoston University, College of Engineering, Department of Electrical & Computer Engineeringen_US
pubs.publication-statusPublisheden_US
dc.identifier.orcid0000-0002-3343-2913 (Paschalidis, I Ch)
dc.identifier.mycv359079


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