Congratulations to Thiha Aung for his successful advancement

Thiha Aung successfully advanced to PhD candidacy on April 30, 2024.

April 30, 2024

Thiha Aung had Advancement to Candidacy presentation on April 30 on the topic of Stochastic Control for Battery Storage. Congrats Thiha!

Abstract: The stochastic and intermittent nature of wind and solar energy resources creates a mismatch between their projected generation at the time of day-ahead (DA) unit commitment and their actual power production. To remedy this reliability problem, grid operators are encouraging the deployment of hybrid assets that couple a renewable resource with a battery energy storage system (BESS), participating in the daily power market as a single entity. We investigate the operation of integrated hybrid resources aiming to optimally firm their output. We formulate a stochastic control problem and propose a direct implementation of the dynamic programming equations via a machine learning approach, namely by building two Gaussian Process emulators for the continuation value and the optimal control maps.