Toward a More Resilient Cyber-Physical Power Grid with High Penetration of DERs
The increasing penetration of stochastic and uncertain inverter-based distributed energy resources (DERs), such as wind and solar PV, 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. Furthermore, the dependent of information and communication technology for smart grid development has increased the range of cyber vulnerabilities. To enable a safe cyber-physical power grid transition, tools and methods for enhanced modeling, situational awareness, uncertainty quantification and security assessment are in urgent demand. This talk will present a set of synchrophasor-based grid-eye developments for situational awareness, such as dynamic state and parameter estimation, frequency divider, cyber-attacks detection, etc., the probabilistic grid security assessment and uncertainty quantification tools to manage intermittence and risks caused by the high penetration of DERs.
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- Date: 29 May 2020
- Time: 11:00 AM to 12:00 PM
- All times are (UTC+10:00) Brisbane
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- Brisbane, Queensland
- Australia
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- Co-sponsored by PES Group, UQ
Speakers
Junbo Zhao
Biography:
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 IEEE Task Force on Power System Dynamic State and Parameter Estimation, the chair of Cyber-Physical Interdependency for Power System Operation and Control working group, and the Secretary of the IEEE Task Force on Synchrophasor Applications in Power System Operation and Control. His current research works are supported by NSF, DOE, PNNL, ANL and LLNL.
He has written three book chapters and published more than 70 peer-reviewed journal and conference papers. His research interests are cyber-physical power system modeling, estimation, security, dynamics and stability, uncertainty quantification, robust statistical signal processing and machine learning for smart grid. 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 is the receipt of best paper award of 2019 IEEE PES ISGT Asia.