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Research and Education Efforts on Uncertainty Quantification and Modeling

Ian Dobson, Amarsagar Matavalam, Xiaozhe Wang, Simon Tindemans, Yujin Xu

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    Pages/Slides: 13
Panel 12 Sep 2024

Power grid uncertainties resulting from grid outages have increased dramatically in recent years. The rapid integration of intermittent renewables is expected to increase the grid uncertainties further. Current tools used in the industry for grid planning and operations cannot account for the uncertainties that need to be appropriately modeled and quantified for a robust future grid. In this panel, we will discuss university research that models uncertainties in generation, outages, parameters, and dynamics. We will also discuss research in modeling techniques that estimate the propagation of these uncertainties using scalable computing methods. These new techniques will facilitate the design of controllers, assess stability and resiliency metrics, and help perform adequacy studies to estimate system parameters. We will also discuss how traditional coursework should be modified to provide the necessary skills to future graduates. The panelists will also discuss their outreach and industry collaboration efforts related to this topic.

Chairs:
Amarsagar Matavalam, Sara Eftekharnejad
Primary Committee:
Power & Energy Education

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