IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids
29-31 October 2018 // Aalborg, Denmark

Data, Analytics, and Synchrophasors for Transparent Distribution Networks

Date and time: Tuesday, October 30th, 9:50 to 13:00


Dr. Reza Arghandeh, Western Norway University of Applied Sciences, Bergen, Norway (workshop chair)

Dr. Hamed Mohsenian-Rad, Smart Grid Research Lab, University of California, Riverside, CA, USA

Dr. Omid Ardakanian, Sustainable Computing Lab, Edmonton, AB, Canada

Dr. Mario Paolone, Distributed Electrical Systems laboratory, Swiss Federal Institute of Technology, Lausanne, Switzerland


In this workshop, we will focus on advanced distribution grid monitoring systems using phasor measurement units (D-PMUs) and their data quality, availability, analytics, and applications. Our panelists will discuss challenges, opportunities, success stories, and pathways for utilizing PMU data in power distribution networks.

The smart grid revolution has created a paradigm shift in distribution networks which is marked by significant variability and uncertainty in electricity supply and demand. This is due to the dramatic increase in the adoption of distributed energy resources (DER), electric vehicles, energy storage, and controlled loads. This transformation will impose different challenges on existing distribution infrastructure and system operation for various stockholders, operators, and customers. Moreover, distribution networks historically are lagging behind transmission networks in terms of observability, measurement accuracy, and data granularity. The recent developments in monitoring systems and sensor networks dramatically increase the variety, volume, and velocity of measurement data in the distribution level. A recent report by the Navigant estimates that the market for data analytics in the power distribution networks, including PMU data, is expected to be worth $9.7 billion by 2020.

Within this context, the panel will discuss specific use cases associated with the specific deployment of the PMU technology in power distribution networks. In particular, the panel will focus on the benefits of D-PMU data and their potential use on state estimation, fault detection, situational awareness systems, and dedicated optimal control strategies








Workshop Chairs’ Welcome

Dr. Reza Arghandeh



Keynote: Stability-by-the-PMU, from Transmission to Distribution

Dr. Salvatore D’Arco



Presentation Session I
- Event Source Location Identification Using Micro-PMU Data (Mohsenian-Rad)

- PMU-based situational awareness systems for the monitoring and protection of active distribution networks (Paolone)

Dr. Hamed Mohsenian-Rad,

Dr. Mario Paolone



Coffee Break




Presentation Session II
- Shape Data Analysis for Fault Detection with D-PMU Data (Arghandeh)

- State Estimation using D-PMU Data (Ardakanian)

Dr. Reza Arghandeh,

Dr. Omid Ardakanian


Chair: Dr. Reza Arghandeh is an Associate Professor in the Department of Computing, Mathematics, and Physics at the Western Norway University of Applied Sciences, Bergen, Norway. He has been an Assistant Professor in ECE Dept, Florida State University, USA 2015-2018, and a postdoctoral scholar at EECS Dept, University of California, Berkeley 2013-2015. He completed his Ph.D. in Electrical Engineering with a specialization in power systems at Virginia Tech, 2013. He holds MS degrees in Industrial and System Engineering from Virginia Tech 2013 and in Energy Systems from the University of Manchester 2008. He was a power system software designer at Electrical Distribution Design Inc. in Virginia, USA, 2011-2013. He won the IBM Faculty Award in 2018 in Big Data Analytics Applications for Smart Buildings. Dr. Arghandeh research interests include data analysis and decision support for smart grids and smart cities. He is senior member of IEEE and the chair of the IEEE Task Force on Big Data Application for Power Distribution Network.

Dr. Hamed Mohsenian-Rad is an Associate Professor of Electrical Engineering, an Associate Director of the Winston Chung Global Energy Center, Director of the UC-National Lab Center for Power Distribution Cyber Security, and Director of the Smart Grid Research Lab at the University of California, Riverside, CA, USA. His research interests include modeling, data analytics, 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 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, a Vice-Chair of the IEEE Smart Grid Communications Emerging Technical Subcommittee, and a co-Chair of the IEEE Power and Energy Society Working Group on Big Data Access and Research Integration.

Dr. Omid Ardakanian  is an Assistant Professor in Computing Science at the University of Alberta. He received a PhD in Computer Science from the University of Waterloo in 2015. He was subsequently an NSERC postdoctoral fellow at the University of California, Berkeley and the University of British Columbia, and was affiliated with the California Institute for Energy and Environment. He has received best paper awards at IEEE Power and Energy Society (PES) General Meeting, ACM BuildSys, and ACM e-Energy. His research interests include large-scale data analysis, ubiquitous computing, and optimization and control of smart infrastructure systems.

Dr. Mario Paolone received the M.Sc. (with honors) and the Ph.D. degree in electrical engineering from the University of Bologna, Italy, in 1998 and 2002, respectively. In 2005, he was appointed assistant professor in power systems at the University of Bologna where he was with the Power Systems laboratory until 2011. Since 2011 he joined the Swiss Federal Institute of Technology, Lausanne, Switzerland, where he is now Full Professor, Chair of the Distributed Electrical Systems laboratory and Head of the Swiss Competence Center for Energy Research (SCCER) FURIES (Future Swiss Electrical infrastructure). In 2013, he was the recipient of the IEEE EMC Society Technical Achievement Award. He was co-author of several papers that received the following awards: best IEEE Transactions on EMC paper award for the year 2017, in 2014 best paper award at the 13th International Conference on Probabilistic Methods Applied to Power Systems, Durham, UK, in 2013 Basil Papadias best paper award at the 2013 IEEE PowerTech, Grenoble, France, in 2008 best paper award at the International Universities Power Engineering Conference (UPEC).He is the Editor-in-Chief of the Elsevier journal Sustainable Energy, Grids and Networks and Associate Editor of the IEEE Transactions on Industrial Informatics. His research interests are in power systems with particular reference to real-time monitoring and operation, power system protections, power systems dynamics and power system transients.

Dr. Salvatore D’Arco received the M.Sc. and Ph.D. degrees in electrical engineering from the University of Naples “Federico II,” Naples, Italy, in 2002 and 2005, respectively. From 2006 to 2007, he was a postdoctoral researcher at the University of South Carolina, Columbia, SC, USA. In 2008, he joined ASML, Veldhoven, the Netherlands, as a Power Electronics Designer, where he worked until 2010. From 2010 to 2012, he was a postdoctoral researcher in the Department of Electric Power Engineering at the Norwegian University of Science and Technology (NTNU), Trondheim, Norway. In 2012, he joined SINTEF Energy Research where he currently works as a Senior Research Scientist. He is the author of more than 100 scientific papers and is the holder of one patent. His main research activities are related to control and analysis of power-electronic conversion systems for power system applications, including real-time simulation and rapid prototyping of converter control systems.