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dc.contributor.authorBelk, Julia A.
dc.contributor.authorInam, Wardah
dc.contributor.authorPerreault, David J
dc.contributor.authorTuritsyn, Konstantin
dc.date.accessioned2017-10-02T15:05:46Z
dc.date.available2017-10-02T15:05:46Z
dc.date.issued2016-12
dc.identifier.isbn978-1-5090-1837-6
dc.identifier.urihttp://hdl.handle.net/1721.1/111667
dc.description.abstractAd hoc electrical networks are formed by connecting power sources and loads without pre-determining the network topology. These systems are well-suited to addressing the lack of electricity in rural areas because they can be assembled and modified by non-expert users without central oversight. There are two core aspects to ad hoc system design: (1) designing source and load units such that the microgrid formed from the arbitrary interconnection of many units is always stable and (2) developing control strategies to autonomously manage the microgrid (i.e., perform power dispatch and voltage regulation) in a decentralized manner and under large uncertainty. To address these challenges we apply a number of nonlinear control techniques-including Brayton-Moser potential theory and primal-dual dynamics-to obtain conditions under which an ad hoc dc microgrid will have a suitable and asymptotically stable equilibrium point. Further, we propose a new decentralized control scheme that coordinates many sources to achieve a specified power dispatch from each. A simulated comparison to previous research is included.en_US
dc.language.isoen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/CDC.2016.7798761en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourcearXiven_US
dc.titleStability and control of ad hoc dc microgridsen_US
dc.typeArticleen_US
dc.identifier.citationBelk, Julia A. et al. “Stability and Control of Ad Hoc Dc Microgrids.” 2016 IEEE 55th Conference on Decision and Control (CDC), December 12-14 2016, Las Vegas, Nevada, USA, Institute of Electrical and Electronics Engineers, December 2016: 3271-3278 © 2016 Institute of Electrical and Electronics Engineers (IEEE)en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineeringen_US
dc.contributor.mitauthorBelk, Julia A.
dc.contributor.mitauthorInam, Wardah
dc.contributor.mitauthorPerreault, David J
dc.contributor.mitauthorTuritsyn, Konstantin
dc.relation.journal2016 IEEE 55th Conference on Decision and Control (CDC)en_US
dc.eprint.versionOriginal manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dspace.orderedauthorsBelk, Julia A.; Inam, Wardah; Perreault, David J.; Turitsyn, Konstantinen_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0001-5383-5608
dc.identifier.orcidhttps://orcid.org/0000-0002-0746-6191
dc.identifier.orcidhttps://orcid.org/0000-0002-7997-8962
mit.licenseOPEN_ACCESS_POLICYen_US


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