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SUMMARY:ESE Spring Seminar - "Scalable Data-Driven Decision-Making for Smart Autonomous Power and Energy Systems"
DESCRIPTION:Rapidly growing renewable generations and peak loads pose a serious threat to the security and reliability of modern power and energy systems. A critical question is “how to accommodate a high penetration of renewable generation and deep electrification?”. This talk focuses on two key challenges\, i.e.\, unknown information and the scalability issue of coordinating large-scale distributed energy resources. I will present two examples of developing distributed algorithms and learning-assisted control methods to address these challenges. One example is distributed model-free optimal voltage control to handle unknown physical system models\, and the other is online learning and human-in-the-loop decision-making for residential demand response to deal with unknown human user behaviors.
URL:https://seasevents.nmsdev7.com/event/ese-spring-seminar-scalable-data-driven-decision-making-for-smart-autonomous-power-and-energy-systems/
LOCATION:Raisler Lounge (Room 225)\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Colloquium
ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu
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