Growing Electric Networks from the Bottom-Up: Circuits & Systems for Decentralized Power Conversion
This talk presents contributions in decentralized optimization and control for power conversion circuits and systems that lay the foundation for a new class of electric networks that can be scaled from the bottom-up. First, I will discuss new design techniques for power conversion circuits that operate in tandem with each other to improve power quality and efficiency. Second, I will discuss our work on power conversion systems that can actively detect and diagnosis faults, essentially acting as probes within networks, enabling improvements in reliability and resiliency. I will conclude by discussing future directions in the interdisciplinary design of power conversion circuits and systems that can support and synthesize decentralized electric networks.
PhD Candidate, UC Berkeley
Jason Poon is a PhD candidate in Electrical Engineering and Computer Sciences (EECS) at UC Berkeley. He received his Masters in EECS from UC Berkeley in 2015 and his Bachelors in Electrical and Computer Engineering from Olin College of Engineering in 2012. He is a recipient of the NSF graduate fellowship, the NDSEG fellowship, the Berkeley EECS Excellence Award, and a Best Paper Award at 2016 IEEE COMPEL. Jason has held positions at Dialog Semiconductor, ABB Corporate Research, the National Renewable Energy Laboratory, and MIT.