IEEE-Madison Meeting Reminders
Madison Section Meeting Reminders
==========Last Chance to Register=========
LENR Replicator's Workshop
Date: Wednesday, September 4th at 11:00 AM - 1:00 PM, Sector67, Madison
Event Info
LENR what the ....???
Date: Wednesday, September 4th at 5:30
UW-Madison, Helen C. White Hall
Note: Parking in Lake Stree Ramp, or on Observatory Road
Event Info
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Optimizing power system operations: Methods to manage the impact of renewable energy on electric grids
IEEE-Madison IAS/PES Chapter
Date: Monday, September 9th, 5:30 to 7:00 PM
UW Engineering Hall
Event Info
"Optimizing power system operations – Methods to manage the impact of renewable energy on electric grids"
- Monday, September 9th, 5:30 PM to 7:00 PM
- Dr. Line A. Roald, UW-Madison ECE Department
- Location:
Engineering Hall
1415 Johnson Street, Madison WI 53706
Room 2535 (If not, you will be redirected -- see event page for changes)
- Please Register at the IEEE-Madison event page.
Talk: How can transmission system operators ensure secure and reliable operation of the electric grid when renewable energy generation is uncertain? How can rooftop solar PV be a resource rather than a problem when managing voltage unbalance in distribution grids? To answer these and other questions related to renewable energy integration, new tools for power systems operations are required. This presentation will discuss our research aimed at developing such new tools. In particular, we will discuss how data-driven, optimization-based methods can help manage renewable energy variability and harness the flexibility available in the grid.
Bio: Line A. Roald is an Assistant Professor and Grainger Institute for Engineering Fellow in the Department of Electrical and Computer Engineering at the University of Wisconsin – Madison. Prior to joining UW Madison, she obtained her PhD at ETH Zurich in Switzerland and worked as a post-doctoral fellow at Los Alamos National Laboratory in New Mexico. Her research interests include optimization, probabilistic methods and data analytics for electric power systems.