"Empowering the transition to sustainable power system through advanced modeling and algorithmic innovation"
"Empowering the transition to sustainable power system through advanced modeling and algorithmic innovation"
At Electric Grid Optimization (EGO) Lab., we're dedicated to advancing the transition to low-carbon power systems and enhancing energy market design. Through mathematical modeling and advanced algorithms, we aim to optimize pathways to zero-emission power systems while addressing techno-economic constraints and uncertainties.
Our research tackles the challenges of transitioning to low-carbon power systems, including the shift from large-scale to small-scale renewable generation and the need for efficient market incentives. We're focused on ensuring reliability, securing stability resources, and balancing the benefits of distributed energy resources.
Decentralized Power System Planning: Develop a mathematical planning tool to decide optimal decentralized configurations for power systems and construct local markets.
Physics-aware Operation: Design a physics-aware operation framework suitable for DERs and investigate resource adequacy under the new operational principles.
Decision-making Tools for Energy System Planners: Develop models that enable regulatory bodies to analyze the power system's unique physical and economic features in their jurisdiction and make optimal decisions based on data-informed analyses.
Interoperable Multi-Energy Systems: Create a co-optimization tool to take advantage of how multi-domain energy systems are connected and determine how much they help each other by using profitability, stability, and interdependency indices.
Computations and Algorithms: Develop algorithmic techniques and data-driven tools to make models tractable and adopt parallel computing via decomposition algorithms.
Our mission is to achieve efficient and reliable low-carbon power systems. Through interdisciplinary research, we're paving the way toward this future. Learn more
Keywords:
Generation & Transmission Expansion Planning, Non-wire Alternatives, LMP, Building EMS, Energy Storage, Stochastic & distributed optimization, Grid Integration