Tuesday, May 9, 2023 - 4:00pm to 4:30pm
Event Calendar Category
LIDS & Stats Tea
Speaker Name
Daniel Shen
Affiliation
LIDS
Building and Room Number
LIDS Lounge
Abstract
To achieve decarbonization goals, the grid will need to integrate large amounts of renewable energy and manage the uncertainties associated with their generation forecasts. These uncertainties could either be managed through the central system operator or by the generation agents themselves (or a mix of the two). Part I of this talk will discuss some of the conceptual tradeoffs associated with centralized vs. decentralized uncertainty management in bulk power systems. Part II will present a framework for agents to price their own uncertainty and examine some preliminary results on a small-scale power system with synthetic wind forecasts.
Biography
Daniel Shen is a PhD student in the Electric Energy Systems Group, advised by Marija Ilic. He received his B.S. in mechanical engineering from UC Berkeley. Prior to joining MIT, he worked as a software engineer at a thermal energy storage startup and interned at the National Renewable Energy Lab working on technoeconomic optimization of solar plus storage. He is interested in bulk power systems, electricity markets, and management of uncertainty to facilitate decarbonization of the grid with wind and solar generation.