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dc.contributor.authorVu, Thanh Long
dc.contributor.authorNguyen, Hung Dinh
dc.contributor.authorMegretski, Alexandre
dc.contributor.authorSlotine, Jean-Jacques E
dc.contributor.authorTuritsyn, Konstantin
dc.date.accessioned2020-06-11T21:23:53Z
dc.date.available2020-06-11T21:23:53Z
dc.date.issued2017-10
dc.identifier.issn2475-1456
dc.identifier.urihttps://hdl.handle.net/1721.1/125775
dc.description.abstractIn modern power systems, the operating point, at which the demand and supply are balanced, may take different values due to changes in loads and renewable generation levels. Understanding the dynamics of stressed power systems with a range of operating points would be essential to assuring their reliable operation, and possibly allow higher integration of renewable resources. This letter introduces a non-traditional way to think about the stability assessment problem of power systems. Instead of estimating the set of initial states leading to a given operating condition, we characterize the set of operating conditions that a power grid converges to from a given initial state under changes in power injections and lines. We term this problem as "inverse stability," a problem which is rarely addressed in the control and systems literature, and hence, poorly understood. Exploiting quadratic approximations of the system's energy function, we introduce an estimate of the inverse stability region. Also, we briefly describe three important applications of the inverse stability notion: 1) robust stability assessment of power systems with respect to different renewable generation levels; 2) stability-constrained optimal power flow; and 3) stability-guaranteed corrective action design. ©2017 IEEE.en_US
dc.description.sponsorshipMIT/Skoltech, Ministry of Education and Science of Russian Federation (Grant no.14.615.21.0001.)en_US
dc.description.sponsorshipNSF (1508666)en_US
dc.description.sponsorshipNSF (1550015)en_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.isversionofhttps://dx.doi.org/10.1109/LCSYS.2017.2764040en_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.titleInverse Stability Problem and Applications to Renewables Integrationen_US
dc.typeArticleen_US
dc.identifier.citationVu, Thanh Long, Hung Dinh Nguyen, Alexandre Megretski, Jean-Jacques Slotine, and Konstantin Turitsyn. “Inverse Stability Problem and Applications to Renewables Integration.” IEEE Control Systems Letters 2, 1 (January 2018): 133–138. doi. 10.1109/lcsys.2017.2764040. ©2018 Authorsen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineeringen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Brain and Cognitive Sciencesen_US
dc.relation.journalIEEE Control Systems Lettersen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2019-01-03T15:08:09Z
dspace.orderedauthorsVu, Thanh Long; Nguyen, Hung Dinh; Megretski, Alexandre; Slotine, Jean-Jacques; Turitsyn, Konstantinen_US
dspace.embargo.termsNen_US
dspace.date.submission2019-04-04T14:44:27Z
mit.journal.volume2en_US
mit.journal.issue1en_US
mit.licenseOPEN_ACCESS_POLICYen_US
mit.metadata.statusComplete


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