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SUMMARY:Time-varying nonconvex optimization with application to OPF - Stev
 en Low (CALTECH (California Institute of Technology))
DTSTART:20190502T150000Z
DTEND:20190502T160000Z
UID:TALK123607@talks.cam.ac.uk
CONTACT:INI IT
DESCRIPTION:Optimal power flow (OPF) problems are fundamental for power sy
 stem operations.<br> They are nonconvex and\, in future applications\, tim
 e-varying.  We present<br> a first-order proximal primal-dual algorithm an
 d a second-order algorithm<br> for general time-varying nonconvex optimiza
 tion and bound their tracking<br> performance.  We incorporate real-time f
 eedback in our algorithms for<br> applications to time-varying OPF problem
 s\, and illustrate their tracking<br> performance numerically.<br> <br> (J
 oint work with Yujie Tang\, Caltech\, Emiliano Dall&rsquo\;Anese\, U of Co
 lorado\,<br> Andrey Berstein\, NREL)
LOCATION:Seminar Room 1\, Newton Institute
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