Energy & Power Systems Courses
Data Science and Machine Learning for Modern Power Systems
The TEES Smart Grid Center has created a course designed to provide state-of-the art introduction of data science and machine learning that is tailored for power engineering appilcations. The electricity industry is transforming itself from a hierarchical, passive, and sparsely-sensed engineering system into a flat, active, and ubiquitously-sensed cyber-physical system. The emerging multi-scale data from synchrophasors, smart meters, weather, and electricity markets offers tremendous opportunities as well as challenges for the industry to dynamically learn and adaptively control a smart grid.
Primer on the Planning and Operation of Large-Scale Electric Grids | Oct. 24-26, 2023
The goal of this course is to provide a comprehensive introduction for those without an in-depth electric power engineering background on how such electric grids are designed and operated, and on how they are likely to change in the future. The electric grid of the past, which was primarily power by large-scale fossil-fuel generators, is no longer a reality and the current system is rapidly changing. The integration of vast amounts of renewable generation resources along with the addition of new technologies such as energy storage and large amounts of digital technology supporting its design and operation, also known as the smart grid, are presenting many new opportunities and challenges.
Electric Grid Impacts of Geomagnetic Disturbances | Nov. 1-2, 2023
Geomagnetic disturbances (GMDs), caused by solar coronal mass ejections, have the potential to significantly impact the operation of the high voltage electric grid by causing geomagnetically induced currents (GICs). Over the last decade there has been significant research, industry interest, and regulatory concern about the impact of GMDs on the high voltage electric grid. The purpose of this two-day short course is to put the GMD issue into proper perspective by providing a comprehensive coverage of what is currently known about the impact of GMDs on the grid, the tools being used for their assessment in planning and operations, and the current areas of research. The course philosophy is to provide in-depth coverage of the topics, but to do so using a practical, hands-on approach.