Hamed Mohsenian-Rad, Ph.D., IEEE Fellow Professor and Bourns Family Faculty Fellow Department of Electrical and Computer Engineering University of California, Riverside Email: hamed (at) ee DOT ucr DOT edu Office: Room 436—Winston Chung Hall Research Lab: Room 225—Winston Chung Hall Phone: 951-827-2387    Fax: 951-827-2425

Short Bio

I am a Professor of Electrical and Computer Engineering. My research interests are in developing optimization-based and data-driven techniques for power systems and smart grid applications with focus on sensing, controls, and operations. I received the NSF CAREER Award from the National Science Foundation for my research on smart grid; the Best Paper Award from the IEEE International Conference on Smart Grid Communication; and the Best Paper Award from the IEEE Power and Energy Society General Meeting. I have been the Lead PI for over $10 million research projects. Before becoming a faculty member I was a post-doctoral fellow at the University of Toronto. I received my Ph.D. in Electrical and Computer Engineering from the University of British Columbia in 2008, M.Sc. in Electrical Engineering from Sharif University of Technology in 2004, and B.Sc. in Electrical Engineering from Amir-Kabir University of Technology in 2002. In 2007, I was a visiting student at Princeton University. I serve as Editor for the IEEE Transactions on Smart Grid and also the IEEE Power Engineering Letters. I am currently the Associate Director of the Winston Chung Global Energy Center and the Director of the UC-National Lab Center on Power System Cyber Security.

Research on Distribution Synchrophasors

• Our recent publications on distribution-level phasor measurement units (D-PMUs):

  • Distribution Synchrophasors
  • Unsupervised Event Detection, Clustering, and Use Case Exposition in Micro-PMU Measurements
  • Individual Load Model Parameter Estimation in Distribution Systems using Load Switching Events
  • Locating the Source of Events in Power Distribution Systems Using Micro-PMU Data
  • Situational Awareness in Distribution Grid Using Micro-PMU Data: A Machine Learning Approach
  • Event-Based Analysis of Solar Power Distribution Feeder Using Micro-PMU Measurements
  • Poisoning Attack against Event Classification in Distribution Synchrophasor Measurements
  • Cyberattacks Against Event-Based Analysis in Micro-PMUs: Attack Models and Counter Measures
  • Analysis of Cyber Attacks Against Micro-PMUs: The Case of Event Source Location Identification
  • Sparse Tracking State Estimation for Low-Observable Power Distribution Systems Using D-PMUs
  • Sparse Distribution System State Estimation: An Approximate Solution Against Low Observability
  • A Machine Learning Approach to Event Analysis in Distribution Feeders Using Distribution Synchrophasors
  • Linear Distribution System State Estimation Using Synchrophasor Data and Pseudo-Measurement
  • Tracking State Estimation in Distribution Networks Using Distribution-level Synchrophasor Data
  • Distribution Grid Reliability vs Regulation Market Efficiency: Analysis based on Micro-PMU Data
  • Autopsy on Active Distribution Networks: A Data-Driven Fault Analysis Using Micro-PMU Data.
  • Location Identification of Distribution Network Events Using Synchrophasor Data.
  • A Data-Driven Analysis of Lightning-Initiated Contingencies at a Distribution Grid with a PV Farm.
  • Data-Driven Analysis of Capacitor Bank Operation at a Distribution Feeder Using Micro-PMU Data.
  • Location Identification of High Impedance Faults Using Synchronized Harmonic Phasors.
  • Distribution Grid Reliability Analysis with Regulation Down Load Resources by Micro-PMU Data.

• I serve as the Guest Editor-in-Chief for the IEEE Transactions on Smart Grid a Special Issue on Theory and Application of PMUs in Power Distribution Systems. You can download the call-for-paper at this link. Also, a growing collection of literature on D-PMUs is available at this webpage.