IEEE PES Region 2, along with Columbus, Pittsburg, Cleveland, Dayton, and North Virginia/Washington Chapters, welcome you to join this technical webinar related to AI, cyber-physical systems, and DERs. 1 PDH will be provided to attendees who will be tracked and proven to be in attendance for this entire webinar.

Abstract: The increasing penetration of stochastic and uncertain inverter-based distributed energy resources (DERs), such as wind and solar PVs, has a considerable influence on the power system dynamics, and the total inertia of the power grid is reduced significantly, causing reliability and resiliency concerns. On the other hand, the power industry is transforming itself from a hierarchical, passive, and sparsely sensed engineering system into a flat, active, and ubiquitously sensed cyber physical system. The emerging multi-scale data from phasor measurement units, SCADA, smart meters, weather, and electricity markets offers tremendous opportunities and challenges for the industry to dynamically learn and adaptively control the smart grid. Machine learning and big data analytics algorithms and applications for unlocking the potential of big data in smart grid are paid increasingly attentions in recent years. This talk will present a set of AI developments for power system operation and controls with DERs, including transmission system applications, such as event detection and disturbance identification, transient stability prediction, preventive control considering uncertainties, optimal power flow, as well as some distribution system applications, i.e., topology identification, distribution system state estimation, Vol-VAR control and optimization, microgrid energy management, etc.

Event Webex URL: https://aep.webex.com/aep/onstage/g.php?MTID=e87e27512538bc1edd2de1fee8b433f0f

Event Number/Access Code: 178 106 1838

Event Password: PESR2

4:50 – 5:00 PM: Welcome & Introduction

5:00 – 5:55 PM: Lecture

5:55 – 6:00 PM: Q&A

Speaker Biography

Dr. Junbo Zhao is currently an Assistant Professor at Mississippi State University, Starkville, MS, USA. He received the Ph.D. degree from the Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA, USA, in 2018. He was a Research Assistant Professor at Virginia Tech from May 2018 to August 2019. He did the summer internship at Pacific Northwest National Laboratory from May to August 2017. He is currently the chair of the IEEE Task Force on Power System Dynamic State and Parameter Estimation and the IEEE Task Force on Cyber-Physical Interdependency for Power System Operation and Control, the co-chair of the IEEE Working Group on Power System Static and Dynamic State Estimation, the Secretary of the IEEE PES Bulk Power System Operation Subcommittee and the IEEE Task Force on Synchrophasor Applications in Power System Operation and Control.

He has published three book chapters and more than 100 peer-reviewed journal and conference papers, where more than 50 appear in IEEE Transactions. His research interests are cyber-physical power system modeling, estimation, security, dynamics and stability, uncertainty quantification, renewable energy integration and control, robust statistical signal processing and machine learning. He serves as the editor of IEEE Transactions on Power Systems, IEEE Transactions on Smart Grid and IEEE Power and Engineering Letters, the Associate Editor of International Journal of Electrical Power & Energy Systems, and the subject editor of IET Generation, Transmission & Distribution. He was the leading guest editor of special issue of “Next Generation of Synchrophasor-based Power System Monitoring, Operation and Control” at IET Generation, Transmission & Distribution. He is the receipt of best paper awards of 2020 IEEE PES General Meeting and 2019 IEEE PES ISGT Asia. He received the Best Associated Editor Award from IEEE Transactions on Smart Grid in 2020.