"Empowering the transition to sustainable power system through advanced modeling and algorithmic innovation"
What EGO˙ Do
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