Stochastic modeling and control of power grids under uncertainty

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• Alessandro Zocca, California Institute of Technology
• Thursday 17 January 2019, 14:00-15:00
• Cambridge University Engineering Department, Lecture Theatre 6.

If you have a question about this talk, please contact Alberto Padoan.

I will give an overview of my current research, which aims to develop new mathematical tools to analyze complex large-scale networks and their performance in the presence of uncertainty. During the talk, I will specifically focus on power grids, which are increasingly affected by uncertainty due to the intermittent nature of renewable generation. I will present a stylized model for power grids under uncertainty which we used to derive some novel insights into the interplay between renewable energy sources and power grid reliability. Rare stochastic fluctuations of the power injections, amplified by correlations and network effects, can cause line failures, frequency violations or huge power losses. I will focus on rare events analysis and large deviations techniques, which in many instances are crucial to correctly assess the network performance and the risk of failures, and show how to use them to identify the most likely failure modes and find the most vulnerable network components. Lastly, I will discuss various solutions we devised to mitigate the impact of such failures and their non-local propagation.

This talk is part of the CUED Control Group Seminars series.

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