Keynote presentations will be held on Tuesday, June 26
Brad Lehman, Northeastern University
Smart Solar Energy for the Smart Grid
(click here to download)
This talk will introduce the recent developments on merging of traditional solar energy concepts with self-adaptation, machine learning and integrated power electronic fabrication. For example, a smart PV panel has been built that can self-heal and self-optimize to produce higher power. Specialized solar fuses can even communicate between themselves and the panels to give diagnostics for dangerous and previously undetectable faults using machine learning methods. Combined with new Maximum Power Point Tracking algorithms, the solar panels can achieve fast optimization in changing weather conditions, self-healing capabilities during faults or slowly adapt their performance during their long aging lifetimes. It is also possible to dynamically reconfigure the connections between solar panels to optimize energy yields. The new approaches lead to new controller and modeling problem statements that will also be discussed.