Data-Driven Analytics and Use Cases for Synchronized Waveform Measurements


Date: Tuesday, May 24                              Time: 5:00 pm – 6:30 pm (CEST)


Name of the organizer: Professor Hamed Mohsenian-Rad

Organization: University of California, Riverside, USA

Email: hamed@ece.ucr.edu

Short biography of the chair: Dr. Hamed Mohsenian-Rad is a Professor of Electrical and Computer Engineering and a Bourns Family Faculty Fellow at the University of California, Riverside, USA. 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 NSF CAREER Award, a Best Paper Award from the IEEE PES 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 author of Smart Grid Sensors: Principles and Applications, a textbook on smart grid sensors and data-driven applications. He is the Associate Director of the Winston Chung Global Energy Center, an endowed research center in the area of energy and sustainability at UC Riverside. Dr. Mohsenian-Rad is currently an Associate Editor of the IEEE Transactions on Power Systems. Previously, he served as Associate Editor of the IEEE Transactions on Smart Grid. 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.

Panel 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 calls for fundamentally new methodologies to analyze WMU data. In this panel, we cover the advancements in this field, in various areas, including sensor technologies, data collection and compression, data analytics, and use cases. The speakers on the proposed panel are experts in this field with diverse representations, coming from academia, industry, and government.


Panelist 1:

Name: Wilsun Xu

Organization: University of Alberta, Edmonton, Canada

Email: wxu@ece.ualberta.ca

Short biography: Dr. Wilsun Xu received Ph.D. from the University of British Columbia, Vancouver, BC, Canada, in 1989. He worked in BC Hydro, Vancouver, BC, Canada, for seven years before he joined the University of Alberta, Edmonton, Alberta, Canada, in 1996. He is currently a professor at the University of Alberta. Dr. Xu’s main research area is power quality. He was awarded IEEE Fellow in 2005 for contributions to power quality research. In recent years, Dr. Xu has been researching the application of disturbance waveforms to support equipment and system condition monitoring. These activities have helped to form the Power Quality Data Analytics Working Group in 2014, under the Power Quality Subcommittee of the IEEE Power & Energy Society.

Title of presentation: Applications of Synchronized Waveform Data to Power System and Apparatus Monitoring

Abstract: Voltage and current waveforms contain the most authentic and granular information on the behaviors of power systems. In recent years, it has become possible to synchronize waveform data measured from different locations of a power system. Thus, large-scale coordinated analyses of multiple waveforms over a wide area are within our reach. This presentation provides an overview on the developments in this fascinating direction and proposes three platforms for applying the data. It further presents several strategies to discover and develop synchronized waveform-based applications for both power system and power apparatus monitoring.


Panelist 2:

Name: Professor Hamed Mohsenian-Rad

Organization: University of California, Riverside, USA

Email: hamed@ece.ucr.edu

Short biography: Dr. Hamed Mohsenian-Rad is a Professor of Electrical and Computer Engineering and a Bourns Family Faculty Fellow at the University of California, Riverside, USA. 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 NSF CAREER Award, a Best Paper Award from the IEEE PES 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 author of Smart Grid Sensors: Principles and Applications, a textbook on smart grid sensors and data-driven applications. He is the Associate Director of the Winston Chung Global Energy Center, an endowed research center in the area of energy and sustainability at UC Riverside. Dr. Mohsenian-Rad is currently an Associate Editor of the IEEE Transactions on Power Systems. Previously, he served as Associate Editor of the IEEE Transactions on Smart Grid. 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.

Title of presentation: Synchro-Waveforms in Power Distribution Systems: Field Data, Data-Analytics, and Innovative Use Cases

Abstract: Synchronized waveform measurements, a.k.a, synchro-waveforms, provide the ultimate measurement resolution for voltage and current in advanced power system monitoring. Analysis of synchrophasors has important applications in power distribution systems, such as to detect, identify, and locate incipient faults in power distribution systems. In this talk, we start by looking at a few examples of real-world waveform and synchro-waveform measurements in power distribution systems. We will then discuss some recent advancements in data-driven methodologies in this field, covering both model-based and model-free methods, as we as emerging and future use cases for synchro-wavform measurements.


Panelist 3:

Name: Steven Blair

Organization: Synaptec Ltd, Glasgow, Scotland, UK

Email: steven.blair@synapt.ec

Short biography: Steven Blair is the Head of Power Systems Technologies at Synaptec, UK. He has extensive experience in the fields of power system measurement, protection, and communications technologies. He holds a PhD in power system protection from the University of Strathclyde, where he has been both researcher and academic including holding the Nokia lectureship position. Steven is a member of IEC TC57 WG10 which manages the IEC 61850 standards, and is also a member of CIGRE WG C4/C2.62/IEEE on Review of Advancements in Synchrophasor Measurement Applications

Title of presentation: Applications of wide-area synchronised waveform measurements

Abstract: Fundamental changes in power grids due to decarbonisation require advanced monitoring and automated analysis. Synchronised waveform data from voltage and current sensors offers several new capabilities beyond synchrophasors from Phasor Measurement Units (PMUs). This presentation will describe new applications which are enabled by this approach, including: deeper classification of events (e.g., for root cause identification for electrical faults), detailed wide-area power quality investigations, and post-event analysis of major system-wide disturbances. However, the obvious drawbacks in manipulating, transferring, and storing waveform data are the high data bandwidth and storage requirements. This presentation also reports on a platform to address these issues by using a high-performance lossless data compression method designed for streaming waveform data, which significantly reduces data bandwidth requirements and improves end-to-end efficiency and latency. An implementation of the scheme, called Slipstream, has been open sourced to enable industry adoption (available at https://github.com/synaptecltd/slipstream). The presentation will demonstrate the performance of the data compression method, which removes the barriers for utilities to stream, record, and analyse synchronised power system waveform data.


Panelist 4:

Name: Alvaro Furlani Bastos

Organization: Sandia National Laboratory, Albuquerque, USA

Email: afurlan@sandia.gov

Short biography: Dr. Alvaro Furlani Bastos is a Senior Member of the Technical Staff at Sandia National Laboratories, New Mexico, US. He received his MS and PhD degrees in Electrical and Computer Engineering from The University of Texas at Austin in 2015 and 2020, respectively. His current work is focused on the application of data analytics and optimization to the planning, modeling, and control of energy storage systems; other research interests include power quality, renewable energy integration, and microgrids.

Title of presentation: Challenges and their potential solutions in implementing synchronized waveform applications

Abstract: This presentation will discuss several procedures that enable the successful application of synchronized waveform measurements. These procedures aim at improving the data quality of the synchronized measurements before they are utilized in the desired applications; for example, it is not uncommon to encounter datasets where the phase ordering of the voltage measurements and/or the polarity of the current measurements are inconsistent among the measurement locations due to improper connection of the measurement devices. Further, an algorithm for detecting abnormal/novel waveforms within large synchronized waveform datasets is presented. Finally, we will illustrate how inaccurate timestamps in the synchronized waveform measurements affect some applications.