Electrical and Computer Engineering
IEEE International Conference Probabilistic Methods Applied to Power Systems (PMAPS)
June 24-28, 2018
We transform historically observed line outages in a power transmission network into an influence graph that statistically describes how cascades propagate in the power grid. The influence graph can predict the critical lines that are historically most involved in cascading propagation. After upgrading these critical lines, simulating the influence graph suggests that these upgrades could mitigate large blackouts by reducing the probability of large cascades.
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Zhou, Kai; Dobson, Ian; Hines, Paul D.H.; and Wang, Zhaoyu, "Can an influence graph driven by outage data determine transmission line upgrades that mitigate cascading blackouts?" (2018). Electrical and Computer Engineering Conference Papers, Posters and Presentations. 51.