Data-Driven Analytics and Use Cases for Synchronized Waveform Measurements


Date: Tuesday, May 25                               Time:  – 


Name and title of the speaker: Professor Hamed Mohsenian-Rad

Email: hamed@ece.ucr.edu

Organisation: University of California, Riverside, USA

Biography of the speaker: Dr. Hamed Mohsenian-Rad is a Professor of Electrical and Computer Engineering and a Bourns Family Faculty Fellow at the University of California, Riverside. His research interests include developing data-driven and model-based techniques for monitoring, control, and optimization of power systems and smart grids. He is the author of an upcoming textbook on smart grid sensors: principles and applications. Dr. Mohsenian-Rad has received the United States National Science Foundation (NSF) CAREER Award, a Best Paper Award from the IEEE Power and Energy Society General Meeting, and a Best Paper Award from the IEEE Conference on Smart Grid Communications. Two of his papers are currently ranked as the two most cited articles in the IEEE Transactions on Smart Grid. Dr. Mohsenian-Rad is the Director of the UC-National Lab Center for Power Distribution Cyber Security, a cyber-security research initiative across four University of California campuses and two DoE National Labs. He also serves as the Associate Director of the Winston Chung Global Energy Center, an endowed research center in the area of energy and sustainability at UC Riverside. He has served as the PI for over $10 million smart grid research projects. He received his Ph.D. in Electrical and Computer Engineering from the University of British Columbia, Vancouver, Canada in 2008. Dr. Mohsenian-Rad is a Fellow of the IEEE.

Abstract: Waveform measurement units (WMUs) are an emerging class of smart grid synchronized measurement technologies that provide synchronized measurements for voltage and current waveforms. Since WMUs provide synchronized waveform measurements, as opposed to synchronized phasor measurements that are provided by phasor measurement units (PMUs), the data from WMUs is much more granular than the data from PMUs. This call for fundamentally new methodology to analyze WMU data. In this webinar, we cover three pillars in this area. First, we discuss the key differences between WMU measurements and PMU measurements through multiple illustrative examples. Second, we discuss both data-driven and model-based (as well as hybrid) methodologies to study measurements from WMUs, covering theoretical challenges and the practical considerations. Third, we will discuss some of the important use cases of synchronized waveform measurements, with primary focus on the applications in power distribution systems; and the lessons learned from recent case studies. This webinar can be offered as a pre-recorded presentation or as a live presentation to also answer questions.