Seismic Resilience Assessment of Electric Power Systems Using a Substation Bay-level Model

Alex Villamarin-Jacome; Rodrigo Moreno

doi:10.1109/PMAPS53380.2022.9810625

Seismic Resilience Assessment of Electric Power Systems Using a Substation Bay-level Model

Alex Villamarin-Jacome
, Rodrigo Moreno

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

7 Scopus citations

Abstract

Substations are among the most vulnerable components when earthquakes occur, and thus models to assess the risk of substation outages in resilience studies are becoming critical. In this context, this paper proposes an approach to model substation outages using a bay-level representation. Hence, substation outages can take many forms depending on the specific configuration of bays unavailable after an earthquake strikes. Thereafter, we simulate the system operation under many outage scenarios and quantify system resilience through various metrics. Our proposal is applied on the IEEE RTS 24-bus and Chilean transmission systems. Furthermore, we compare our proposed bay-level approach with a monolithic method currently used to model substation outages in power system resilience. The results show that the bay-level approach is more practical and accurate for modeling substation outages in power networks.

Original language	English
Title of host publication	2022 17th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665412117
DOIs	https://doi.org/10.1109/PMAPS53380.2022.9810625
State	Published - 2022
Externally published	Yes
Event	17th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2022 - Manchester, United Kingdom Duration: 12 Jun 2022 → 15 Jun 2022

Publication series

Name	2022 17th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2022

Conference

Conference	17th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2022
Country/Territory	United Kingdom
City	Manchester
Period	12/06/22 → 15/06/22

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Monte Carlo simulations
Substation outages modeling
power system resilience
seismic resilience
substation bays

Access to Document

10.1109/PMAPS53380.2022.9810625

Cite this

Villamarin-Jacome, A., & Moreno, R. (2022). Seismic Resilience Assessment of Electric Power Systems Using a Substation Bay-level Model. In 2022 17th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2022 (2022 17th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PMAPS53380.2022.9810625

Villamarin-Jacome, Alex ; Moreno, Rodrigo. / Seismic Resilience Assessment of Electric Power Systems Using a Substation Bay-level Model. 2022 17th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2022. Institute of Electrical and Electronics Engineers Inc., 2022. (2022 17th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2022).

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title = "Seismic Resilience Assessment of Electric Power Systems Using a Substation Bay-level Model",

abstract = "Substations are among the most vulnerable components when earthquakes occur, and thus models to assess the risk of substation outages in resilience studies are becoming critical. In this context, this paper proposes an approach to model substation outages using a bay-level representation. Hence, substation outages can take many forms depending on the specific configuration of bays unavailable after an earthquake strikes. Thereafter, we simulate the system operation under many outage scenarios and quantify system resilience through various metrics. Our proposal is applied on the IEEE RTS 24-bus and Chilean transmission systems. Furthermore, we compare our proposed bay-level approach with a monolithic method currently used to model substation outages in power system resilience. The results show that the bay-level approach is more practical and accurate for modeling substation outages in power networks.",

keywords = "Monte Carlo simulations, Substation outages modeling, power system resilience, seismic resilience, substation bays",

author = "Alex Villamarin-Jacome and Rodrigo Moreno",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 17th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2022 ; Conference date: 12-06-2022 Through 15-06-2022",

year = "2022",

doi = "10.1109/PMAPS53380.2022.9810625",

language = "English",

series = "2022 17th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2022",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Villamarin-Jacome, A & Moreno, R 2022, Seismic Resilience Assessment of Electric Power Systems Using a Substation Bay-level Model. in 2022 17th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2022. 2022 17th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2022, Institute of Electrical and Electronics Engineers Inc., 17th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2022, Manchester, United Kingdom, 12/06/22. https://doi.org/10.1109/PMAPS53380.2022.9810625

Seismic Resilience Assessment of Electric Power Systems Using a Substation Bay-level Model. / Villamarin-Jacome, Alex; Moreno, Rodrigo.
2022 17th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2022. Institute of Electrical and Electronics Engineers Inc., 2022. (2022 17th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2022).

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

TY - GEN

T1 - Seismic Resilience Assessment of Electric Power Systems Using a Substation Bay-level Model

AU - Villamarin-Jacome, Alex

AU - Moreno, Rodrigo

PY - 2022

Y1 - 2022

N2 - Substations are among the most vulnerable components when earthquakes occur, and thus models to assess the risk of substation outages in resilience studies are becoming critical. In this context, this paper proposes an approach to model substation outages using a bay-level representation. Hence, substation outages can take many forms depending on the specific configuration of bays unavailable after an earthquake strikes. Thereafter, we simulate the system operation under many outage scenarios and quantify system resilience through various metrics. Our proposal is applied on the IEEE RTS 24-bus and Chilean transmission systems. Furthermore, we compare our proposed bay-level approach with a monolithic method currently used to model substation outages in power system resilience. The results show that the bay-level approach is more practical and accurate for modeling substation outages in power networks.

AB - Substations are among the most vulnerable components when earthquakes occur, and thus models to assess the risk of substation outages in resilience studies are becoming critical. In this context, this paper proposes an approach to model substation outages using a bay-level representation. Hence, substation outages can take many forms depending on the specific configuration of bays unavailable after an earthquake strikes. Thereafter, we simulate the system operation under many outage scenarios and quantify system resilience through various metrics. Our proposal is applied on the IEEE RTS 24-bus and Chilean transmission systems. Furthermore, we compare our proposed bay-level approach with a monolithic method currently used to model substation outages in power system resilience. The results show that the bay-level approach is more practical and accurate for modeling substation outages in power networks.

KW - Monte Carlo simulations

KW - Substation outages modeling

KW - power system resilience

KW - seismic resilience

KW - substation bays

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U2 - 10.1109/PMAPS53380.2022.9810625

DO - 10.1109/PMAPS53380.2022.9810625

M3 - Conference contribution

AN - SCOPUS:85135067051

T3 - 2022 17th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2022

BT - 2022 17th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2022

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 17th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2022

Y2 - 12 June 2022 through 15 June 2022

ER -

Villamarin-Jacome A, Moreno R. Seismic Resilience Assessment of Electric Power Systems Using a Substation Bay-level Model. In 2022 17th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2022. Institute of Electrical and Electronics Engineers Inc. 2022. (2022 17th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2022). doi: 10.1109/PMAPS53380.2022.9810625

Seismic Resilience Assessment of Electric Power Systems Using a Substation Bay-level Model

Abstract

Publication series

Conference

UN SDGs

Keywords

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