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SUMMARY:IEM Distinguished Lecturers Seminar: Avoiding Complete Divergence 
 of State Estimators in Large Power Grids
DTSTART:20220225T131500
DTEND:20220225T140000
DTSTAMP:20260508T053750Z
UID:1a1e4a1b06af41395cdf4b3c824e1212ef9e75901da9fa1f4feb3210
CATEGORIES:Conferences - Seminars
DESCRIPTION:Ali Abur obtained his B.S. degree from Orta Doğu Teknik niver
 sitesi\, Turkey and both his M.S. and Ph.D. degrees from the Ohio State Un
 iversity\, Columbus\, Ohio. He was a faculty member at Texas A&M Universit
 y until November 2005 when he joined the faculty of Northeastern Universit
 y as a Professor and Chair of the Electrical and Computer Engineering Depa
 rtment. His research and educational activities have been in the area of p
 ower systems. He is a Fellow of the IEEE for his work on power system stat
 e estimation. He co-authored a book and published widely in IEEE journals 
 and conferences.\nAbstract: This talk describes implementation of a multi-
 area state estimation approach where a converged solution can be obtained 
 for a large part of the network even if the conventional state estimator d
 oes not converge. This is accomplished by locating and isolating the area 
 which contains the gross error that is responsible for divergence. The tal
 k will present results related to area partitioning\, network observabilit
 y and the developed multi-area state estimation algorithm. A software pack
 age and associated graphical user interface (GUI) developed for a large ut
 ility for this purpose will be demonstrated at the end of the presentation
  using different save cases provided by the utility.
LOCATION:ELA 1 https://plan.epfl.ch/?room==ELA%201 https://epfl.zoom.us/j/
 65097274419
STATUS:CONFIRMED
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