Power Systems Engineering Research Center

S-94G Project Summary 

Explore the Efficacy of Machine Learning Based Preventive and Corrective Controls to Prevent Cascading Failures Following Large Disturbances

Summary This project applies advanced machine learning methods in conjunction with detailed time domain simulations to develop preventive and corrective controls to prevent cascading failures following large disturbances. The project will utilize detailed time domain simulations interfaced with multi-agent reinforcement learning to determine appropriate control actions. 
Academic Team Members Project Leader: Vijay Vittal (Arizona State, vijay.vittal@asu.edu)
Industry Team Members Di Shi (GEIRINA)
Project Period June 1, 2020 to August 31,2022