A Markovian influence graph formed from utility line outage data to mitigate large cascades

@article{Zhou2020AMI,
  title={A Markovian influence graph formed from utility line outage data to mitigate large cascades},
  author={Kai Zhou and Ian Dobson and Zhaoyu Wang and Alexander Roitershtein and Arka P. Ghosh},
  journal={IEEE transactions on power systems : a publication of the Power Engineering Society},
  year={2020},
  volume={35},
  pages={3224 - 3235}
}
  • Kai ZhouI. Dobson Arka P. Ghosh
  • Published 2 February 2019
  • Mathematics
  • IEEE transactions on power systems : a publication of the Power Engineering Society
We use observed transmission line outage data to make a Markovian influence graph that describes the probabilities of transitions between generations of cascading line outages. Each generation of a cascade consists of a single line outage or multiple line outages. The new influence graph defines a Markov chain and generalizes previous influence graphs by including multiple line outages as Markov chain states. The generalized influence graph can reproduce the distribution of cascade size in the… 

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