Smart Grid Operation and Control

3 Credits

Introduction to smart grids, microgrids and their components, control of microgrids, intro to neural networks and deep learning, deep learning for solving optimization problems in smart grids, machine learning based economic dispatch and optimal power flow, control of distributed energy resources, grid following and grid forming control of renewable energy, data-driven model identification using statistical learning, machine learning based control of distributed energy resources. Graduate version of ECE373. Credit may not be given for both ECE373 and ECE473.