Title: Tracking Faults and Network Model Changes Using Phasor Measurements
Date: March 29, 2021
Bio: Ali Abur received his B.S. degree at Orta Doğu Teknik Üniversitesi, Ankara, Turkey and M.S. and Ph.D.
degrees from The Ohio State University. He joined the Department of Electrical Engineering at Texas A&M
University where he worked as a Professor between 1985 and 2005. In 2005, he moved to the Department of Electrical
and Computer Engineering at Northeastern University in Boston where he served as the department chair until 2013.
He is currently a professor in the same department. He is a Fellow of the IEEE.
Abstract: Phasor measurement units (PMU) are rapidly populating substations and providing valuable data and
measurements. These are streamed at much faster rates and in a synchronized manner compared to the existing
supervisory control and data acquisition (SCADA) measurements. In this tutorial, we will discuss potential network
applications which can benefit from availability of such measurements. We will first describe a fault location procedure
which relies on voltage measurements provided by a limited number of PMUs to detect and locate faults on any of the
transmission lines in a large power grid. This approach also takes advantage of the “Dantzig selector” estimator to
formulate and solve this problem. The same approach will then be used to solve the problem of detecting unreported
topology changes in external networks. This problem is particularly important for real-time contingency analysis of
interconnected power grids when ICCP links fail and real time data are temporarily or permanently not available from
neighboring systems. Finally, we will present a tracking estimator for non-transposed three phase transmission line
model parameters based on PMU measurements which will enhance the performance of control and protection functions
relying on accurate line models.