activity
20182023
most citedModel-Informed Generative Adversarial Network (MI-GAN) for Learning Optimal Power Flow

9 citations · 17 across the 5 of their papers we have counts for

collaborators

5 papers

math.OC2023

Distribution System Operation Amidst Wildfire-Prone Climate Conditions Under Decision-Dependent Line Availability Uncertainty

Alexandre Moreira, Felipe Pianco, Bruno Fanzeres +4

Wildfires can severely damage electricity grids leading to long periods of power interruption. Climate change will exacerbate this threat by increasing the frequency of dry climate…

cs.LG2022★ 9 cited

Model-Informed Generative Adversarial Network (MI-GAN) for Learning Optimal Power Flow

Yuxuan Li, Chaoyue Zhao, Chenang Liu

The optimal power flow (OPF) problem, as a critical component of power system operations, becomes increasingly difficult to solve due to the variability, intermittency, and unpredi…

cs.LG2020★ 2 cited

Optimistic Distributionally Robust Policy Optimization

Jun Song, Chaoyue Zhao

Trust Region Policy Optimization (TRPO) and Proximal Policy Optimization (PPO), as the widely employed policy based reinforcement learning (RL) methods, are prone to converge to a…

math.OC2020★ 1 cited

Flexibility Management in Economic Dispatch with Dynamic Automatic Generation Control

Lei Fan, Chaoyue Zhao, Guangyuan Zhang +1

As the installation of electronically interconnected renewable energy resources grows rapidly in power systems, system frequency maintenance and control become challenging problems…

math.OC2018★ 5 cited

Distributionally Robust Distribution Network Configuration Under Random Contingency

Sadra Babaei, Ruiwei Jiang, Chaoyue Zhao

Topology design is a critical task for the reliability, economic operation, and resilience of distribution systems. This paper proposes a distributionally robust optimization (DRO)…