Campus Units

Electrical and Computer Engineering

Document Type

Conference Proceeding

Conference

2018 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)

Publication Version

Submitted Manuscript

Publication Date

2018

Conference Date

June 23-28, 2018

City

Boise, ID

Abstract

Various methodologies exist for assessing the risk of cascading outage in power systems, differing in the cascading mechanisms considered and in the way they are modeled. These methodologies can be classified in three groups: static computation (QSS methodologies), dynamic computation (dynamic methodologies), or a combination of both (hybrid methodologies). The objective of this paper is to benchmark the performance of several widely used QSS cascading outage methodologies. For that purpose, they are applied on a unique system, the RTS- 96, and the results are compared. Several metrics and indicators are used for that comparison: expected demand loss, distribution of demand loss, distribution of lines outaged and critical lines. Results show common trends but also discrepancies between methodologies. It implies that there is not yet a standardized way to analyze the risk of cascading outage in power systems, and that the specific tool used by a power system engineer can impact the recommendations.

Comments

This is a manuscript of an article published as Ciapessoni, Emanuele, Diego Cirio, Eduardo Cotilla-Sanchez, Ruisheng Diao, Ian Dobson, Anish Gaikwad, Pierre Henneaux et al. "Benchmarking Quasi-Steady State Cascading Outage Analysis Methodologies." (2018).

Rights

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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