Date: 03/29/2022
Time: 1:00 pm - 2:00 pm
Location
Zoom
Description
Please note, due to unforeseen circumstances, this event has been postponed. Check back in the fall for a new date!
Abstract
Prof. Zhang’s Power Lab at Stony Brook University is pioneering the research of coordinated networked microgrids (NMs) that have the potential to help restore neighboring distribution grids after a major blackout. These NMs also hold promise to significantly enhance the day-to-day reliability of the power grids. Many organizations (including the US Department of Energy) believe that, ultimately, NM R&D will lead to the next wave of smart-grid technology, which has the potential to achieve the vision of a highly resilient grid. In this talk, the speaker will introduce the latest NM technology being developed at SBU — Artificial Intelligence (AI) enabled, provably resilient networked microgrids (AI-grid). AI-Grid has the potential to transform today’s community power infrastructures into tomorrow’s autonomic microgrids and flexible services immune to cyber-attacks, high levels of renewable energy penetration, faults, and disastrous events, which have the potential to benefit various commercial sectors as well as the military.
The key innovation in AI-Grid is a programmable platform that integrates continuous-depth deep neural networks, reachability analysis, formal control, and cybersecurity technologies to enable scalable, self-protecting, autonomic and ultra-resilient microgrids and NMs capable of coordinating ultra-scale distributed energy systems and cultivating America’s smart communities and cities. The adoption of AI-Grid in three highly representative microgrids will demonstrate the tremendous potential in empowering our nation’s digital economic engine, enhancing electricity resilience, and improving energy equality. The speaker will also discuss his plan to build a powerful living laboratory/classroom and to share big data sets with research communities so as to stimulate innovations towards smart, replicable, sustainable, and connected communities and infrastructures.
Biosketch
Peng Zhang is a SUNY Empire Innovation Professor at Stony Brook University, New York, USA. He has a joint appointment at Brookhaven National Laboratory as a Staff Scientist in the Interdisciplinary Sciences Department. He is an affiliated Professor of Computer Science and affiliated Professor of Applied Mathematics and Statistics at Stony Brook University. He received the Ph.D. in Electrical Engineering at the University of British Columbia, Vancouver, BC, Canada in 2009. Previously, he was the Francis L. Castleman Associate Professor and Centennial Associate Professor at the University of Connecticut, Storrs, CT, USA. He was a System Planning Engineer at BC Hydro and Power Authority, Canada, during 2006-2010.
Prof. Zhang is a leader in microgrid research. So far, Prof. Zhang has served as a PI of over 20 research grants with a total of more than $30 million sponsored by NSF, DOE and power industry. He contributed over 150 publications including over 100 papers in top journals and conferences, 26 technical reports, 2 books and 1 awarded patent. He pioneered quantum grids, networked microgrids and software-defined smart grid, and has been developing a series of technologies such as software-defined urban distribution network (SD2N), programmable microgrids, quantum-secure microgrids, and formal methods for microgrids/macrogrids.
Prof. Zhang is an Individual Member of CIGRE. He is an Editor of the IEEE Transactions on Power Systems, the IEEE Transactions on Sustainable Energy,the IEEE Power and Energy Society Letters, and the IEEE Journal of Oceanic Engineering.
Prof. Zhang received an IEEE Region 1 Technological Innovation Award for leadership and contributions in the areas of microgrids, smart communities and cities, cyber-physical security and smart ocean systems, an Outstanding Engineer Award, IEEE Connecticut Section for years of dedicated research and valuable technical contributions to the electric power industry, and an Outstanding Young Engineer Award, IEEE Long Island Section for contributions to reliable and secure distributed energy resources and microgrids. He also received the 2018 Excellence in Energy Award by Connecticut Power & Energy Society for shaping the renewable energy landscape.
Registration
Please note, this event has been postponed.
If you have a disability and are requesting accommodations in order to fully participate in this event, please email libraryevents@stonybrook.edu or call 631-632-7100.
Clara Tran
Email: clara.tran@stonybrook.edu