Congratulations to Thiha Aung for his successful advancement

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.