Obtaining statistics of cascading line outages spreading in an electric transmission network from standard utility data
Ian Dobson, Benjamin A. Carreras, David E. Newman, Jose M., Reynolds-Barredo

TL;DR
This paper presents a method to derive network topology and outage spread statistics from standard utility data, aiding understanding and modeling of cascading failures in power transmission networks.
Contribution
It introduces a novel approach to extract network topology and outage propagation statistics directly from utility outage data, facilitating better analysis of cascading failures.
Findings
Network topology can be reconstructed from outage data.
Statistics of outage spreading patterns are obtained.
Method enables validation of cascading failure models.
Abstract
We show how to use standard transmission line outage historical data to obtain the network topology in such a way that cascades of line outages can be easily located on the network. Then we obtain statistics quantifying how cascading outages typically spread on the network. Processing real outage data is fundamental for understanding cascading and for evaluating the validity of the many different models and simulations that have been proposed for cascading in power networks.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
