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Time-Synchronized Estimation Problems in Modern Power Systems

The 5th International Conference on Smart Grid Synchronized Measurements and Analytics (SGSMA 2026)

Tutorial Abstract

In the last decade, the number and types of sensors capable of producing time-synchronized measurements has grown significantly. Consequently, a variety of power system problems can now be addressed using measurements coming from these types of devices. This tutorial focuses on recent algorithms that have been developed to solve practical problems related to state estimation, oscillations, modal estimation, and inertia calculations using time-synchronized measurements alone as well as in combination with supervisory control and data acquisition (SCADA) measurements.

The tutorial will present hands-on exercises with step-by-step examples for each type of estimation problem. Simulated data along with real measurements will be used as input data to the algorithms used for estimation and the applications will span IEEE benchmark models as well as actual systems. Example programming codes, wherever possible, will be provided to facilitate reproducibility of the results. Moreover, additional references to support the material covered by each of the speakers will be provided.

Tutorial Outline

5 min

Introduction

50 min

Mani V. Venkatasubramanian: Offline analysis of oscillations using synchrophasors and SCADA

The talk introduces ringdown and ambient algorithms for analyzing oscillatory modes and oscillations with synchrophasors, plus a methodology for locating oscillation sources using SCADA measurements.

10 min

Break

50 min

Yilu Liu: Oscillations and inertia measurements

The talk focuses on captured oscillations, damping approaches, and field-probing-based inertia measurements with examples.

10 min

Break

50 min

Saikat Chakrabarti: Use of synchrophasor measurements in static state estimation

Topics include PMU-only SSE, hybrid PMU+SCADA SSE, observability with PMUs, bad data detection, and real-world usage examples. Links to MATLAB code for basic algorithms are provided.

10 min

Break

50 min

Backer Abu-Jaradeh: Need for Linear State Estimation (LSE) for real-time control room assessment

Topics include PMU deployment and observability, bad data handling, virtual PMUs with LSE, real-time assessments, and industry deployment considerations.

5 min

Closure

Instructors

Mani V. Venkatasubramanian

Boeing Distinguished Professor in Electrical Engineering at Washington State University (WSU), and Director of the Energy Systems Innovation Center (ESIC). He received M.S. and D.Sc. degrees in Systems Science and Mathematics from Washington University, St. Louis, and a B.E. (Hons.) in Electrical and Electronics Engineering from BITS Pilani, India. He served in working groups studying the 1996 Western Interconnection and 2003 Northeastern blackouts. He is Chair of the IEEE PES Working Group on Power System Dynamic Measurements, an IEEE Fellow, recipient of the IEEE PES Prabha S. Kundur Power System Dynamics and Control Award, and elected member of the Washington State Academy of Sciences.

Yilu Liu

Received M.S. and Ph.D. degrees from The Ohio State University (1986, 1989), and B.S. degrees from Xi'an Jiaotong University, China. She is currently the UT-ORNL Governor's Chair at the University of Tennessee and Oak Ridge National Laboratory, and deputy director of the DOE/NSF ERC CURENT (curent.utk.edu). She led the North American grid Frequency Monitoring Network FNET/GridEye (fnetpublic.utk.edu, powerit.utk.edu). Her research focuses on large-grid dynamic modeling, simulation, and monitoring. She is a member of the National Academy of Engineering, a member of the National Academy of Inventors, and an IEEE Fellow. Contact: Liu@utk.edu.

Saikat Chakrabarti

Completed his Ph.D. in Electrical Engineering at Memorial University of Newfoundland, Canada (2006). Since 2009 he has been with the Department of Electrical Engineering, IIT Kanpur, where he has served as professor since 2018. He also worked as Chair Professor and Director of the Emera and NB Power Research Centre for Smart Grid Technologies, University of New Brunswick, Fredericton, Canada. His research interests include monitoring, control, and protection of smart transmission/distribution systems and microgrids. He is an IEEE Fellow and Fellow of the Indian National Academy of Engineering (INAE).

Backer Abu-Jaradeh

Received his M.S. in Power Systems Electrical Engineering from California State University, Los Angeles (2012), and his Ph.D. from the University of Southern California (2022), focused on power system real-time applications. He is an IEEE Senior Member, NERC-certified Reliability Coordinator, and Professional Engineer with extensive operations experience. He has supported control room operations directly with grid operators and currently serves as Vice President of Customer Engineering Services at EPG, supporting synchrophasor technology applications for utilities and ISOs. He started at Southern California Edison, then joined CAISO control room operations in 2017 before joining EPG in 2018.

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