Towards Closing the Electricity-Transportation-Human Loop in Coupled Infrastructure Systems

Electric power systems and transportation systems become deeply interconnected due to transportation electrification. The couplings between these systems give rise to new challenges and opportunities for the operation and planning of these systems. In this talk, we will go through two such examples. In the first example, we will discuss how the classical notion of Braess’ paradox in transportation networks generalizes in the context of infrastructure planning for transportation electrification. By modeling the equilibrium of coupled power-transportation systems and analyzing simple examples of such systems, we demonstrate that capacity expansion in either transportation or power system can deteriorate the performance of both systems, and uncover the fundamental mechanisms for such new Braess’ paradoxes. For general networks, we develop efficient algorithms to detect Braess’ paradoxes and novel charging pricing policies to mitigate them. In the second example, we consider the design of workplace electric vehicle (EV) charging tariffs in a morning commute setting. We demonstrate that a time-varying charging tariff can play the role of a dynamic toll to improve the traffic or nudge the EV charging loads to optimize power system costs.

Junjie Qin

Assistant Professor, Elmore Family School of Electrical and Computer Engineering at Purdue University on September 13, 2024 at 10:15 AM in EB2 1231
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Junjie Qin is an Assistant Professor in the Elmore Family School of Electrical and Computer Engineering at Purdue University. Before joining Purdue, he was a postdoctoral researcher at the University of California, Berkeley. He obtained a Ph.D. degree in Computational and Mathematical Engineering from Stanford University, where he also received an M.S. degree in Civil and Environmental Engineering and an M.S. degree in Statistics. He received his bachelor’s degrees from Tsinghua University, Beijing, China. He has been awarded the NSF CAREER Award in 2023, Google Research Scholar Award in 2022, the 2020 O. Hugo Schuck Best Paper Award by the American Automatic Control Council, the Outstanding Student Paper Award (as the advisor) by the IEEE Control Systems Society Energy Systems Technical Committee, the Best Student Paper Award at the 23rd IEEE International Conference on Intelligent Transportation Systems, the Best Student Paper Finalist at the 55th IEEE Conference on Decision and Control, and the Satre family fellowship on energy and sustainability.

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