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SUMMARY:Tracking performance of time-varying nonconvex optimization with a
 pplication to OPF - Steven Low\, Caltech
DTSTART:20190109T140000Z
DTEND:20190109T150000Z
UID:TALK117307@talks.cam.ac.uk
CONTACT:Alberto Padoan
DESCRIPTION:Optimal power flow (OPF) problems at fundamental for power sys
 tem operations. They are nonconvex and\, in future applications\, time-var
 ying.  We present a first-order proximal primal-dual algorithm and a secon
 d-order algorithm for general time-varying nonconvex optimization and boun
 d their tracking performance.  We incorporate real-time feedback in our al
 gorithms for applications to time-varying OPF problems\, and illustrate th
 eir tracking performance numerically.\n\n(Joint work with Yujie Tang\, Cal
 tech\, Emiliano Dall’Anese\, U of Colorado\, Andrey Berstein\, NREL)
LOCATION:Cambridge University Engineering Department\, Lecture Theatre 6
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