57 citations · 200 across the 66 of their papers we have counts for
71 papers
A Deficiency-Based Approach for Unbalanced Three-Phase Distribution System Expansion Planning
Eli Brock, Miguel Heleno, Javad Lavaei +1
Distribution planners typically characterize grid needs through power flow studies and fit upgrades to those needs by hand. More principled one-shot optimization methods either do…
Multi-Agent Guided Policy Search for Non-Cooperative Dynamic Games
Jingqi Li, Gechen Qu, Jason J. Choi +2
Multi-agent reinforcement learning (MARL) optimizes strategic interactions in non-cooperative dynamic games, where agents have misaligned objectives. However, data-driven methods s…
DRAGON: Distributional Rewards Optimize Diffusion Generative Models
Yatong Bai, Jonah Casebeer, Somayeh Sojoudi +1
We present Distributional RewArds for Generative OptimizatioN (DRAGON), a versatile framework for fine-tuning media generation models towards a desired outcome. Compared with tradi…
Coordinating Distributed Energy Resources with Nodal Pricing in Distribution Networks: a Game-Theoretic Approach
Eli Brock, Jingqi Li, Javad Lavaei +1
We propose a real-time nodal pricing mechanism for cost minimization and voltage control in a distribution network with autonomous distributed energy resources and analyze the resu…
Distributionally Robust Joint Chance-Constrained Optimal Power Flow using Relative Entropy
Eli Brock, Haixiang Zhang, Javad Lavaei +1
Designing robust algorithms for the optimal power flow (OPF) problem is critical for the control of large-scale power systems under uncertainty. The chance-constrained OPF (CCOPF)…
Certifiable Reachability Learning Using a New Lipschitz Continuous Value Function
Jingqi Li, Donggun Lee, Jaewon Lee +3
We propose a new reachability learning framework for high-dimensional nonlinear systems, focusing on reach-avoid problems. These problems require computing the reach-avoid set, whi…