Campus Units

Electrical and Computer Engineering

Document Type

Conference Proceeding

Conference

IEEE International Conference Probabilistic Methods Applied to Power Systems (PMAPS)

Publication Version

Submitted Manuscript

Publication Date

2018

Conference Date

June 24-28, 2018

City

Boise, ID

Abstract

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.

Comments

This is a manuscript of the proceeding Zhou, Kai, Ian Dobson, Paul D.H. Hines, and Zhaoyu Wang, "Can an influence graph driven by outage data determine transmission line upgrades that mitigate cascading blackouts?" that will appear at IEEE International Conference Probabilistic Methods Applied to Power Systems (PMAPS), Boise, ID. June 24-28, 2018.

Rights

Copyright 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Copyright Owner

IEEE

Language

en

File Format

application/pdf

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