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Power and Energy

DATA-DRIVEN ANALYSIS OF EVENTS IN DISTRIBUTION SYNCHROPHASORS

on November 13, 2019 from 6:00 PM to 8:00 PM

Speaker Dr. Hamed Mohsenian-Rad
Topic Info Synchrophasor measurements offer an unprecedented level of visibility in power distribution infrastructure. These are time-synchronized single-phase or three-phase voltage and current phasor measurements on medium and low voltage distribution circuits. However, data availability alone is not enough to enhance operational intelligence. In this talk, we make the case that the analysis of “events” is a key to translate the data from distribution synchrophasors into useful high-level information. An event in this study is defined rather broadly to include any major change in any component across the distribution feeder. The real data that is used in this study is obtained from a pilot distribution feeder in Riverside, CA. The goal is to enhance situational awareness in distribution grid by keeping track of the operation (or misoperation) of various grid equipment, assets, distribution energy resources, loads, etc. A combination of data-driven machine learning tools and hybrid model-based methodologies are discussed to automatically (and often remotely) detect, classify, and identify the causes of events and their characteristics in power distribution systems. Use cases are diverse and may include asset monitoring, non-intrusive load modeling, analysis of system dynamics, cybersecurity, etc.
Speaker Bio

Dr. Hamed Mohsenian-Rad is an Associate Professor of Electrical and Computer Engineering and a Bourns Family Faculty Fellow at the University of California, Riverside. His research interests include developing hybrid data-driven and model-based techniques for monitoring, control, and optimization of power systems and smart grids. He has received the National Science Foundation (NSF) CAREER Award, a Best Paper Award from the IEEE Power and Energy Society (PES) General Meeting, and a Best Paper Award from the IEEE International Conference on Smart Grid Communications. Two of his papers are currently ranked as the two most cited journal articles in the field of smart grids. Dr. Mohsenian-Rad is the founding Director of the UC-National Lab Center for Power Distribution Cyber Security, a new 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. He currently serves as an Editor of the IEEE Transactions on Smart Grid, an Editor of the IEEE Power Engineering Letters, Vice-Chair of the IEEE Smart Grid Communications Technical Committee, and co-Chair of the IEEE Power and Energy Society Working Group on Big Data Access and Research Integration. Dr. Mohsenian-Rad received the UC Riverside Bourns College of Engineering Distinguished Teaching Award in 2017.

Location 8680 Balboa Ave, San Diego, CA 92123
Directions

Google Maps

See location map attachment below for building location and entrance.  Upon entering the building, security will sign you in.  Follow signs to the auditorium.

Agenda

6:00 - 6:30 pm: Food and Networking

6:30 - 8:00 pm: Presentation and Q/A

Cost Free for IEEE members & SDG&E employees; $5 for non-members (cash only at the event)
RSVP

Advanced registration is necessary to ensure an accurate count for food – please register by 1400 hrs on 11/13/2019 – contact Fred Raddatz if registration issues, or if you wish to register after this time. 

RSVP at: https://events.vtools.ieee.org/m/208731

 

POC:  Fred Raddatz | IEEE Power and Energy Society Vice-Chairperson, San Diego Section

          San Diego Gas & Electric Company | FRaddatz@SDGE.com | tel: 619.880.9761

  File Date Uploaded
Sempra-SDG&E_Century Park East_Location Map.jpg 10/28/19 02:44 PM



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