Fiodar
Kazhamiaka,
PhD
candidate
David
R.
Cheriton
School
of
Computer
Science
We study the problem of optimally and simultaneously sizing solar photovoltaic (PV) and storage capacity in order to partly or completely offset grid usage. While prior work offers some insights, researchers typically consider only a single sizing approach. In contrast, we use a firm theoretical foundation to compare and contrast sizing approaches based on robust simulation, robust optimization, and stochastic network calculus, with a novel approach in how we handle data availability limitations based on concentration inequalities. We evaluate the robustness and computational complexity of these approaches in a realistic setting to provide practical, robust advice on system sizing.
Bio: Fiodar is a Ph.D. candidate in computer science at the David Cheriton School of Computer Science. His research interests are in the design and control of systems with energy storage and renewable energy sources. In his spare time, he enjoys playing beach volleyball around the world.