IEM Distinguished Lecturers Seminar: Avoiding Complete Divergence of State Estimators in Large Power Grids
Event details
| Date | 25.02.2022 |
| Hour | 13:15 › 14:00 |
| Speaker | Ali Abur obtained his B.S. degree from Orta Doğu Teknik niversitesi, Turkey and both his M.S. and Ph.D. degrees from the Ohio State University, Columbus, Ohio. He was a faculty member at Texas A&M University until November 2005 when he joined the faculty of Northeastern University as a Professor and Chair of the Electrical and Computer Engineering Department. His research and educational activities have been in the area of power systems. He is a Fellow of the IEEE for his work on power system state estimation. He co-authored a book and published widely in IEEE journals and conferences. |
| Location | Online |
| Category | Conferences - Seminars |
| Event Language | English |
Abstract: 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 does not converge. This is accomplished by locating and isolating the area which contains the gross error that is responsible for divergence. The talk will present results related to area partitioning, network observability and the developed multi-area state estimation algorithm. A software package and associated graphical user interface (GUI) developed for a large utility for this purpose will be demonstrated at the end of the presentation using different save cases provided by the utility.
Practical information
- General public
- Free