The goal of my research is to develop power electronics systems endowed with advanced control, optimization, and computing capabilities that can enable seamless and sustainable ways of powering the world. Such advances in power electronics have the potential to unleash a new generation of power systems that have vastly superior controllability, autonomy, and resiliency.
I have built systems that enable the large-scale integration of solar energy with the electric grid using innovative autonomous controllers, and have architected a neuromorphic-inspired computing platform that enables such controllers to be implemented in a practical and efficient way. In general, I work at the intersection of diverse domains including including decentralized control and optimization, analog and neuromorphic computing, and predictive and AI-based controls.
I am currently a Visiting Scholar in the EE department at Stanford and an Affiliate Researcher in the Energy Technologies Area at Lawrence Berkeley National Lab. I received my Ph.D. in EECS from UC Berkeley in 2019, and was a postdoc in EE at Stanford from 2019 to 2021.
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 (In Review)
Decentralized carrier phase shifting for optimal harmonic minimization in asymmetric parallel-connected inverters
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 conference paper or journal preprint for more details.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.