Conference PaperCan an influence graph driven by outage data determine transmission line upgrades that mitigate cascading blackouts?Zhou, Kai; Dobson, Ian; Hines, Paul D.H.; Wang, ZhaoyuWe 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.2018-06-01100816422018 IEEE International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)1 to 6https://doi.org/10.1109/PMAPS.2018.84404971735513; 1735354National Science Foundation