Qualifying transmission line significance on cascading failures using cut-sets

C. Caro-Ruiz; A. Pavas; E. Mojica-Nava; J. Ma; D. J. Hill

doi:10.1109/PTC.2019.8810405

Qualifying transmission line significance on cascading failures using cut-sets

C. Caro-Ruiz, A. Pavas, E. Mojica-Nava, J. Ma, D. J. Hill

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

4 Citations (Scopus)

Abstract

Prediction of vulnerable lines during cascading failures is an important issue for power networks. The identification of key lines may enable the application of targeted countermeasures and reduce cascading failures effects. Based on topological information and line power transmission capacity, we propose the use of cut-sets (CS) to quantity the line significance during cascading failures phenomenon. We calculate a CS-based measure using the Nagamochi-Ibaraki algorithm. Then, we compare the CS measure with other network-based and flow-based indices: the edge-betweenness centrality and the power flow centrality in a cascading failures framework. Simulation results show that the CS measure outperforms in predicting the edges significance for the cascading failures propagation path.

Original language	English
Title of host publication	2019 IEEE Milan PowerTech
Editors	Federica Foiadelli
Place of Publication	Piscataway NJ USA
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	2465-2470
Number of pages	6
ISBN (Electronic)	9781538647226
ISBN (Print)	9781538647233
DOIs	https://doi.org/10.1109/PTC.2019.8810405
Publication status	Published - 2019
Externally published	Yes
Event	IEEE Milan PowerTech 2019 - Politecnico di Milano (Bovisa Campus), Milan, Italy Duration: 23 Jun 2019 → 27 Jun 2019 https://attend.ieee.org/powertech-2019/ https://ieeexplore.ieee.org/xpl/conhome/8792346/proceeding (Proceedings)

Conference

Conference	IEEE Milan PowerTech 2019
Abbreviated title	PowerTech 2019
Country/Territory	Italy
City	Milan
Period	23/06/19 → 27/06/19
Internet address	https://attend.ieee.org/powertech-2019/ https://ieeexplore.ieee.org/xpl/conhome/8792346/proceeding (Proceedings)

Keywords

Cascading failures
Complex networks
Cut-sets
Power systems
Vulnerability

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/PTC.2019.8810405

Cite this

@inproceedings{ccbe3217c4284c3f983bef03b1e454d5,

title = "Qualifying transmission line significance on cascading failures using cut-sets",

abstract = "Prediction of vulnerable lines during cascading failures is an important issue for power networks. The identification of key lines may enable the application of targeted countermeasures and reduce cascading failures effects. Based on topological information and line power transmission capacity, we propose the use of cut-sets (CS) to quantity the line significance during cascading failures phenomenon. We calculate a CS-based measure using the Nagamochi-Ibaraki algorithm. Then, we compare the CS measure with other network-based and flow-based indices: the edge-betweenness centrality and the power flow centrality in a cascading failures framework. Simulation results show that the CS measure outperforms in predicting the edges significance for the cascading failures propagation path.",

keywords = "Cascading failures, Complex networks, Cut-sets, Power systems, Vulnerability",

author = "C. Caro-Ruiz and A. Pavas and E. Mojica-Nava and J. Ma and Hill, \{D. J.\}",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; IEEE Milan PowerTech 2019, PowerTech 2019 ; Conference date: 23-06-2019 Through 27-06-2019",

year = "2019",

doi = "10.1109/PTC.2019.8810405",

language = "English",

isbn = "9781538647233",

pages = "2465--2470",

editor = "Federica Foiadelli",

booktitle = "2019 IEEE Milan PowerTech",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States of America",

url = "https://attend.ieee.org/powertech-2019/, https://ieeexplore.ieee.org/xpl/conhome/8792346/proceeding",

}

Caro-Ruiz, C, Pavas, A, Mojica-Nava, E, Ma, J & Hill, DJ 2019, Qualifying transmission line significance on cascading failures using cut-sets. in F Foiadelli (ed.), 2019 IEEE Milan PowerTech. IEEE, Institute of Electrical and Electronics Engineers, Piscataway NJ USA, pp. 2465-2470, IEEE Milan PowerTech 2019, Milan, Italy, 23/06/19. https://doi.org/10.1109/PTC.2019.8810405

Qualifying transmission line significance on cascading failures using cut-sets. / Caro-Ruiz, C.; Pavas, A.; Mojica-Nava, E. et al.
2019 IEEE Milan PowerTech. ed. / Federica Foiadelli. Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, 2019. p. 2465-2470.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

TY - GEN

T1 - Qualifying transmission line significance on cascading failures using cut-sets

AU - Caro-Ruiz, C.

AU - Pavas, A.

AU - Mojica-Nava, E.

AU - Ma, J.

AU - Hill, D. J.

PY - 2019

Y1 - 2019

N2 - Prediction of vulnerable lines during cascading failures is an important issue for power networks. The identification of key lines may enable the application of targeted countermeasures and reduce cascading failures effects. Based on topological information and line power transmission capacity, we propose the use of cut-sets (CS) to quantity the line significance during cascading failures phenomenon. We calculate a CS-based measure using the Nagamochi-Ibaraki algorithm. Then, we compare the CS measure with other network-based and flow-based indices: the edge-betweenness centrality and the power flow centrality in a cascading failures framework. Simulation results show that the CS measure outperforms in predicting the edges significance for the cascading failures propagation path.

AB - Prediction of vulnerable lines during cascading failures is an important issue for power networks. The identification of key lines may enable the application of targeted countermeasures and reduce cascading failures effects. Based on topological information and line power transmission capacity, we propose the use of cut-sets (CS) to quantity the line significance during cascading failures phenomenon. We calculate a CS-based measure using the Nagamochi-Ibaraki algorithm. Then, we compare the CS measure with other network-based and flow-based indices: the edge-betweenness centrality and the power flow centrality in a cascading failures framework. Simulation results show that the CS measure outperforms in predicting the edges significance for the cascading failures propagation path.

KW - Cascading failures

KW - Complex networks

KW - Cut-sets

KW - Power systems

KW - Vulnerability

UR - https://www.scopus.com/pages/publications/85072339550

U2 - 10.1109/PTC.2019.8810405

DO - 10.1109/PTC.2019.8810405

M3 - Conference Paper

AN - SCOPUS:85072339550

SN - 9781538647233

SP - 2465

EP - 2470

BT - 2019 IEEE Milan PowerTech

A2 - Foiadelli, Federica

PB - IEEE, Institute of Electrical and Electronics Engineers

CY - Piscataway NJ USA

T2 - IEEE Milan PowerTech 2019

Y2 - 23 June 2019 through 27 June 2019

ER -

Qualifying transmission line significance on cascading failures using cut-sets

Abstract

Conference

Keywords

UN SDGs

Access to Document

Other files and links

Cite this