Power Systems Engineering Research Center

S-93G Project Summary 

Deep Reinforcement Learning for Power Grid Control 

Summary In this project, the power system control problem will be formalized based on real-world scenario. We will design AI tools of Deep-Reinforcement-Learning-based control strategies. Domain knowledge will be embedded in the process to support the development of the product. This approach helps both academia/industry community to understand the proposed machine learning approach as an optimization methodology and thereby help the adaptation of AI-based recommendation system in power system control centers. 
Academic Team Members Project Leader: Yang Weng (Arizona State, yweng2@asu.edu)
Industry Team Members Patrick Panciatici (RTE), Antoine Marot (RTE), Benjamin Donnot (RTE)
Project Period May 16, 2020 to November 15, 2020