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…