Joint Transition, Expansion, and Resilience Planning of Power Systems Under Deep Climate Change Uncertainty

The Climate & Power Systems project is being undertaken by an interdisciplinary team of faculty and researchers with expertise in machine learning, resilient infrastructure, and optimization in collaboration with power utility service providers. The project investigates the optimal joint expansion, transition, and resilience planning of power systems that are responsive to climate change and its associated uncertainty.

As utility planners and regulators anticipate future grid developments and make informed investment decisions to accommodate ever-growing electricity demands, this research project aims to, among other things, develop models that integrate and prioritize these systems’ resilience to extreme weather events and climate change impacts. Through collaborations with two utility providers, the project will, ultimately, contribute to uncovering and incorporating real-world constraints into formulating and refining climate-sensitive resilient power systems of the future.

Drawing on their expertise in power systems, deep learning (DL), reinforcement learning (RL), and optimization, the project team will develop a robust multi-agent RL (MARL) framework to model power system complexities and climate-driven uncertainties.