I am interested in making renewable energy and electrification technologies more scalable, efficient, and resilient. Towards these ends, my research draws from the domains of power electronics, controls and optimization, and power systems. The overarching aim of my work is to develop innovative and outside-the-box solutions to pressing societal challenges, such as climate change and grid resilience.
I am currently a Visiting Scholar in the Electrical Engineering Department at Stanford University and an Affiliate Researcher in the Energy Technologies Area at Lawrence Berkeley National Laboratory. I received my Ph.D. in Electrical Engineering and Computer Sciences from UC Berkeley in 2019.
I delivered a lecture for the Stanford Smart Grid Seminar on Feb. 11, 2021.
Real-time selective harmonic minimization using a hybrid analog/digital computing method
J. Poon, M. Sinha, S. V. Dhople, J. M. Rivas
IEEE Transactions on Power Electronics (Submitted)
Decentralized carrier phase-shifting for parallel-connected inverters for optimal harmonic minimization
J. Poon, B. B. Johnson, S. V. Dhople, J. M. Rivas
IEEE Transactions on Power Electronics, vol. 36, no. 5, pp. 5915-5925, May 2021
Minimum Distortion Point Tracking
J. Poon, B. B. Johnson, S. V. Dhople, S. R. Sanders
IEEE Transactions on Power Electronics, vol. 35, no. 10, pp. 11013-11025, Oct. 2020
Decentralized interleaving of parallel-connected buck converters
M. Sinha, J. Poon, B. B. Johnson, M. Rodriguez, S. V. Dhople
IEEE Transactions on Power Electronics, vol. 34, no. 5, pp. 4993-5006, May 2019
Presented our latest work at APEC 2021 on a mixed-signal computing platform for solving online optimization problems for power electronics systems in a fast and energy-efficient manner. See the full paper here.2/11/2021
Delivered a lecture titled 'The Power Electronics-Enabled Smart Grid' for the Stanford Smart Grid Seminar. A recording of the event is available here.10/7/2020
Our latest work has been published in the IEEE Transactions on Power Electronics and is available on IEEE Xplore. We show how minimum distortion point tracking can significantly improve the power quality and stability of large-scale, distributed solar inverter systems.3/5/2020
Presented an overview poster of my latest research at an NSF-sponsored workshop on power systems and machine learning in Alexandria, VA2/18/2020
Our work on minimum distortion point tracking is available on IEEE Xplore. This work presents a new decentralized control strategy for networks of dc-dc converters that can reduce harmonic noise by more than two orders of magnitude for some applications.