GRI Faculty Affiliate and ECE Professor Ali Abur was awarded a $750K DOE grant from the Solar Energy Technologies Office for “Graph-Learning-Assisted State and Event Tracking for Solar-Penetrated Power Grids with Heterogeneous Data Sources.”
The project uses artificial intelligence and machine learning techniques to integrate electric data and use it to calculate the state of the electric network. The resulting tool will be able to detect connectivity changes and faults in the grid and update grid models accordingly, which will improve the situational awareness of power grids with large amounts of solar energy by exploiting a large volume of data and measurements available from a highly diverse set of sources. The project will also provide tools to detect and identify network topology changes due to unexpected disturbances or switching events by exploiting the recently developed sparse estimation methods in the data analytics area.
About Ali Abur
Ali Abur obtained his B.S. degree from Orta Dogu Teknik Universitesi, Turkey in 1979 and both his M.S. and Ph.D. degrees from the Ohio State University in 1981 and 1985 respectively. 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. He serves on the Editorial Board of IEEE Transactions on Power Systems and Power Engineering Letters.