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SUMMARY:Computational Methods for Nonlinear Power Operational Problems: Co
 nvex Reformulations and Near-Linear Time Algorithms - Javad Lavaei (Univer
 sity of California\, Berkeley)
DTSTART:20190108T113000Z
DTEND:20190108T123000Z
UID:TALK116758@talks.cam.ac.uk
CONTACT:INI IT
DESCRIPTION:Co-authors: Somayeh Sojoudi (UC Berkeley)\, Richard Zhang (UC 
 Berkeley)\, Salar Fattahi (UC Berkeley)\, Igor Molybog (UC Berkeley)\, Min
 g Jin (UC Berkeley)\, SangWoo Park (UC Berkeley)In this talk\, we will stu
 dy a set of nonlinear power optimization and decision-making problems\, na
 mely power flow\, optimal power flow\, state estimation and topology error
  detection. We will propose different conic relaxation and approximation t
 echniques to solve these nonconvex problems. We will prove that such conic
  problems could be solved in near linear time due to intrinsic properties 
 of real-world power networks. We will offer case studies on systems with a
 s high as 14\,000 nodes.
LOCATION:Seminar Room 1\, Newton Institute
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