Agent-based valuation of wind uncertainty in electricity markets

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.