Optimizing power system operations – Methods to manage the impact of renewable energy on electric grids

#Power #and #Energy #Renewable #Generators #Data-Driven #optimization #Electric #Grid
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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.



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  • Date: 09 Sep 2019
  • Time: 05:30 PM to 07:00 PM
  • All times are (UTC-05:00) Central Time (US & Canada)
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  • 1415 Engineering Drive
  • (Parking in Lot 17)
  • Madison, Wisconsin
  • United States 53706
  • Building: Engineering Hall
  • Room Number: 2540
  • Click here for Map

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  • Starts 08 August 2019 01:13 PM
  • Ends 09 September 2019 01:13 PM
  • All times are (UTC-05:00) Central Time (US & Canada)
  • No Admission Charge
  • Menu: Veggie Pizza, Meat Pizza


  Speakers

Dr. Roald of University of Wisconsin, Electrical and Computer Engineering Department

Topic:

Optimizing power system operations – Methods to manage the impact of renewable energy on electric grids

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.

Biography:

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.





Agenda

5:30 - 6:00 PM Social time, Refreshments

6:00 - 7:00 -Technical Talk and Q&A