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Selected Works of Ian Dobson
Article
Benchmarking Quasi-Steady State Cascading Outage Analysis Methodologies
Electrical and Computer Engineering Conference Papers, Posters and Presentations
  • Emanuele Ciapessoni, Ricerca Sistema Energetico
  • Diego Cirio, Ricerca Sistema Energetico
  • Eduardo Cotilla-Sanchez, Oregon State University
  • Ruisheng Diao, Global Energy Interconnection Research Institute North America (GEIRINA)
  • Ian Dobson, Iowa State University
  • Anish Gaikwad, Electric Power Research Institute
  • Pierre Henneaux, Tractebel
  • Stephen Miller
  • Milorad Papic, Idaho Power Company
  • Andrea Pitto, Ricerca Sistema Energetico
  • Junjian Qi, University of Central Florida
  • Nader Samaan, Pacific Northwest National Laboratory
  • Giovanni Sansavini, ETH Zurich
  • Sunitha Uppalapati, Electric Power Research Institute
  • Rui Yao, University of Tennessee
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Document Type
Conference Proceeding
Disciplines
Conference
2018 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)
Publication Version
Submitted Manuscript
Publication Date
1-1-2018
Conference Date
June 23-28, 2018
Geolocation
(43.6150186, -116.20231369999999)
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
Copyright Date
2018
Language
en
File Format
application/pdf
Citation Information
Emanuele Ciapessoni, Diego Cirio, Eduardo Cotilla-Sanchez, Ruisheng Diao, et al.. "Benchmarking Quasi-Steady State Cascading Outage Analysis Methodologies" Boise, ID(2018)
Available at: http://works.bepress.com/ian-dobson/28/