Critical component identification under load uncertainty for cascading failure analysis

Mirjavad Hashemi Gavgani; Sara Eftekharnejad

doi:10.1109/TPEC48276.2020.9042564

Critical component identification under load uncertainty for cascading failure analysis

Mirjavad Hashemi Gavgani, Sara Eftekharnejad

Department of Electrical Engineering & Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

As electric power grids are increasingly growing in scale and complexity, modeling and analysis of cascading failures become more critical. In this paper, a new method is proposed for identification of critical components using global and relative indices. These indices are extracted from the data from cascading failure analysis based on distributed slack power flow under load uncertainty. The proposed model considers fast propagation of failures and avoids the problems caused by the common assumption that optimal power flow can be implemented between subsequent failures. It also alleviates the unrealistic assignment of criticality to the transmission lines that are in the vicinity of slack bus in cascading failure models based on power flow solution. The proposed model and analysis are tested on Illinois 200-bus system and results are discussed.

Original language	English (US)
Title of host publication	2020 IEEE Texas Power and Energy Conference, TPEC 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728144368
DOIs	https://doi.org/10.1109/TPEC48276.2020.9042564
State	Published - Feb 2020
Event	2020 IEEE Texas Power and Energy Conference, TPEC 2020 - College Station, United States Duration: Feb 6 2020 → Feb 7 2020

Publication series

Name	2020 IEEE Texas Power and Energy Conference, TPEC 2020

Conference

Conference	2020 IEEE Texas Power and Energy Conference, TPEC 2020
Country	United States
City	College Station
Period	2/6/20 → 2/7/20

Keywords

Cascading failure
Failure analysis
Load uncertainty
Power System security
Power system fault
Vulnerability analysis

ASJC Scopus subject areas

Computer Networks and Communications
Energy Engineering and Power Technology
Electrical and Electronic Engineering
Safety, Risk, Reliability and Quality

Access to Document

10.1109/TPEC48276.2020.9042564

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Critical component identification under load uncertainty for cascading failure analysis. / Gavgani, Mirjavad Hashemi; Eftekharnejad, Sara.

2020 IEEE Texas Power and Energy Conference, TPEC 2020. Institute of Electrical and Electronics Engineers Inc., 2020. 9042564 (2020 IEEE Texas Power and Energy Conference, TPEC 2020).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Gavgani, MH & Eftekharnejad, S 2020, Critical component identification under load uncertainty for cascading failure analysis. in 2020 IEEE Texas Power and Energy Conference, TPEC 2020., 9042564, 2020 IEEE Texas Power and Energy Conference, TPEC 2020, Institute of Electrical and Electronics Engineers Inc., 2020 IEEE Texas Power and Energy Conference, TPEC 2020, College Station, United States, 2/6/20. https://doi.org/10.1109/TPEC48276.2020.9042564

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