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LDRD Seminar Series: ‘Keep Your Lights On! — Building an Adaptive and Resilient Power Grid Based on Advanced Modeling and Optimization’

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Jianhui Wang

Principal Computational Engineer Jianhui Wang (ES) will discuss his Laboratory-Directed Research and Development (LDRD) sponsored work at the LDRD Seminar Series presentation Tuesday, Jan. 10, 2017.

“Keep Your Lights On! — Building an Adaptive and Resilient Power Grid Based on Advanced Modeling and Optimization” will begin at 12:30 p.m. in the Bldg. 203 Auditorium.  All are welcome to attend.

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Abstract

Hurricane Sandy and other recent power outages under extreme weather conditions have revealed that our electric power grid is not sufficiently planned and operated to be resilient to large-scale events. A well-prepared and executed response to such incidents can prevent possible outages, reduce the time to restore power supply to consumers and potentially lead to significant economic savings. Maintaining the resilience of the power grid is critical to our nation’s energy security and sustainability. This becomes even more critical as climate change alters the frequency and severity of future extreme weather events.

The objective of this project is to develop state-of-the-art algorithms including weather forecasting, power system modeling and simulation, stochastic optimization and high-performance computing to enhance the U.S. power grid’s capability to integrate clean and distributed energy, eliminate large-scale and long-term blackouts, recover and survive after major weather events. The problem we will study is in nature large-scale (interconnection-level), multilevel (both transmission and distribution) and multi-timescale (operation and planning), which poses great modeling and engineering challenges. To address these issues, we developed a complete suite of solutions for enhancing power grid resilience from advanced power grid restoration algorithms to logistics scheduling of repair crew and mobile generators. Successful deployment of our research results can greatly increase the resilience of our power grid and reduce outage times.

Biography

Jianhui Wang is the Section Manager for Advanced Power Grid Modeling in the Energy Systems Division at Argonne National Laboratory. He is also a Senior Institute Fellow of the Northwestern/Argonne Institute of Science and Engineering (NAISE) at Northwestern University, a Fellow of the Computation Institute at The University of Chicago, an Adjunct Professor at the University of Notre Dame and an Affiliate Professor at Auburn University. Wang has also held visiting positions in Europe, Australia and Hong Kong including a VELUX Visiting Professorship at the Technical University of Denmark. He has been invited to give tutorials and keynote speeches at major conferences including Institute of Electrical and Electronics Engineers (IEEE) SmartGridComm, IEEE Smart Energy Grid Engineering, IEEE High Performance and Smart Computing and IGEC-XI.

Wang has authored and co-authored more than 250 journal and conference publications. He is an associate editor of the Journal of Energy Engineering and an editorial board member of Applied Energy and IEEE Power and Energy Magazine. He served as guest editor for a special issue of the IEEE Power and Energy Magazine on Electrification of Transportation, which won an APEX Grand Award. Wang also served as the editor of Artech House Publishers’ Power Engineering Book Series, and as the Technical Program Chair of the 2012 IEEE Power & Energy Society (PES) Innovative Smart Grid Technologies conference. He is the secretary of the IEEE  PES Power System Operations, Planning & Economics Committee. He received the IEEE Chicago Section 2012 Outstanding Young Engineer Award and a Midwest Energy News 40 Under 40 award in 2016.

Wang is the Editor-in-Chief of the IEEE Transactions on Smart Grid and an IEEE PES Distinguished Lecturer. He is also a guest editor of a Proceedings of the IEEE special issue on power grid resilience. He was the recipient of the IEEE PES Power System Operation Committee Prize Paper Award in 2015.


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