Hybrid Model of Cascading Failure in Power Systems using Trajectory Sensitivity-based Classification

Sai Gopal Vennelaganti, Nilanjan Ray Chaudhuri

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A new hybrid model of cascading failure is proposed, which employs a detailed dynamic model to identify and correct the cascade propagation path of QSS model. At every event or failure, trajectory sensitivities for a few seconds following that failure are computed using the detailed dynamic model. Classification based on computed sensitivities reveal the accuracy of QSS model's prediction. If necessary, corrections are made by simulating the detailed dynamic model for a sufficient time. The proposed hybrid model along with a review of trajectory sensitivity is presented. The effectiveness of the proposed model is validated through case studies on IEEE 4-machine and 16-machine systems.

Original languageEnglish (US)
Title of host publication2019 IEEE Power and Energy Society General Meeting, PESGM 2019
PublisherIEEE Computer Society
ISBN (Electronic)9781728119816
DOIs
StatePublished - Aug 2019
Event2019 IEEE Power and Energy Society General Meeting, PESGM 2019 - Atlanta, United States
Duration: Aug 4 2019Aug 8 2019

Publication series

NameIEEE Power and Energy Society General Meeting
Volume2019-August
ISSN (Print)1944-9925
ISSN (Electronic)1944-9933

Conference

Conference2019 IEEE Power and Energy Society General Meeting, PESGM 2019
CountryUnited States
CityAtlanta
Period8/4/198/8/19

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Nuclear Energy and Engineering
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering

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