A Simulation Framework for Service Loss of Power Networks under Extreme Weather Events: A Case of Puerto Rico

Thomaz Carvalhaes; Alireza Inanlouganji; Esther Boyle; Petar Jevtic; Giulia Pedrielli; Agami Reddy

doi:10.1109/CASE48305.2020.9216849

A Simulation Framework for Service Loss of Power Networks under Extreme Weather Events: A Case of Puerto Rico

Thomaz Carvalhaes, Alireza Inanlouganji, Esther Boyle, Petar Jevtic, Giulia Pedrielli, Agami Reddy

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

3 Scopus citations

Abstract

Extreme weather events are increasingly common across the globe. As a result, it is becoming more important to design tools that can efficiently and dynamically enable the analysis of vulnerabilities across nodes and links of critical, possibly interconnected networks. In this paper, we focus on power systems, and we show a proof of concept of our Simulation-Driven approach for the loss Analysis of Critical Infrastructures (SACI). In particular, we show the potential of the proposed tool for the case of hurricanes hitting large scale power networks, specifically of Puerto Rico. The numerical analysis demonstrates the simulation analytics capabilities of SACI and its potential impact for the utility companies.

Original language	English
Title of host publication	2020 IEEE 16th International Conference on Automation Science and Engineering, CASE 2020
Publisher	IEEE Computer Society
Pages	1532-1537
Number of pages	6
ISBN (Electronic)	9781728169040
DOIs	https://doi.org/10.1109/CASE48305.2020.9216849
State	Published - Aug 2020
Externally published	Yes
Event	16th IEEE International Conference on Automation Science and Engineering, CASE 2020 - Hong Kong, Hong Kong Duration: Aug 20 2020 → Aug 21 2020

Publication series

Name	IEEE International Conference on Automation Science and Engineering
Volume	2020-August
ISSN (Print)	2161-8070
ISSN (Electronic)	2161-8089

Conference

Conference	16th IEEE International Conference on Automation Science and Engineering, CASE 2020
Country/Territory	Hong Kong
City	Hong Kong
Period	08/20/20 → 08/21/20

Funding

This research was partially funded by the awards NSF-CMMI 1829238, NSF-CRISP 2.0 1832678.

Funders	Funder number
NSF-CRISP	2.0 1832678
NSF-CMMI	1829238

Access to Document

10.1109/CASE48305.2020.9216849

Cite this

Carvalhaes, T., Inanlouganji, A., Boyle, E., Jevtic, P., Pedrielli, G., & Reddy, A. (2020). A Simulation Framework for Service Loss of Power Networks under Extreme Weather Events: A Case of Puerto Rico. In 2020 IEEE 16th International Conference on Automation Science and Engineering, CASE 2020 (pp. 1532-1537). Article 9216849 (IEEE International Conference on Automation Science and Engineering; Vol. 2020-August). IEEE Computer Society. https://doi.org/10.1109/CASE48305.2020.9216849

Carvalhaes, Thomaz ; Inanlouganji, Alireza ; Boyle, Esther et al. / A Simulation Framework for Service Loss of Power Networks under Extreme Weather Events : A Case of Puerto Rico. 2020 IEEE 16th International Conference on Automation Science and Engineering, CASE 2020. IEEE Computer Society, 2020. pp. 1532-1537 (IEEE International Conference on Automation Science and Engineering).

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title = "A Simulation Framework for Service Loss of Power Networks under Extreme Weather Events: A Case of Puerto Rico",

abstract = "Extreme weather events are increasingly common across the globe. As a result, it is becoming more important to design tools that can efficiently and dynamically enable the analysis of vulnerabilities across nodes and links of critical, possibly interconnected networks. In this paper, we focus on power systems, and we show a proof of concept of our Simulation-Driven approach for the loss Analysis of Critical Infrastructures (SACI). In particular, we show the potential of the proposed tool for the case of hurricanes hitting large scale power networks, specifically of Puerto Rico. The numerical analysis demonstrates the simulation analytics capabilities of SACI and its potential impact for the utility companies.",

author = "Thomaz Carvalhaes and Alireza Inanlouganji and Esther Boyle and Petar Jevtic and Giulia Pedrielli and Agami Reddy",

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Carvalhaes, T, Inanlouganji, A, Boyle, E, Jevtic, P, Pedrielli, G & Reddy, A 2020, A Simulation Framework for Service Loss of Power Networks under Extreme Weather Events: A Case of Puerto Rico. in 2020 IEEE 16th International Conference on Automation Science and Engineering, CASE 2020., 9216849, IEEE International Conference on Automation Science and Engineering, vol. 2020-August, IEEE Computer Society, pp. 1532-1537, 16th IEEE International Conference on Automation Science and Engineering, CASE 2020, Hong Kong, Hong Kong, 08/20/20. https://doi.org/10.1109/CASE48305.2020.9216849

A Simulation Framework for Service Loss of Power Networks under Extreme Weather Events: A Case of Puerto Rico. / Carvalhaes, Thomaz; Inanlouganji, Alireza; Boyle, Esther et al.
2020 IEEE 16th International Conference on Automation Science and Engineering, CASE 2020. IEEE Computer Society, 2020. p. 1532-1537 9216849 (IEEE International Conference on Automation Science and Engineering; Vol. 2020-August).

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

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AB - Extreme weather events are increasingly common across the globe. As a result, it is becoming more important to design tools that can efficiently and dynamically enable the analysis of vulnerabilities across nodes and links of critical, possibly interconnected networks. In this paper, we focus on power systems, and we show a proof of concept of our Simulation-Driven approach for the loss Analysis of Critical Infrastructures (SACI). In particular, we show the potential of the proposed tool for the case of hurricanes hitting large scale power networks, specifically of Puerto Rico. The numerical analysis demonstrates the simulation analytics capabilities of SACI and its potential impact for the utility companies.

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Carvalhaes T, Inanlouganji A, Boyle E, Jevtic P, Pedrielli G, Reddy A. A Simulation Framework for Service Loss of Power Networks under Extreme Weather Events: A Case of Puerto Rico. In 2020 IEEE 16th International Conference on Automation Science and Engineering, CASE 2020. IEEE Computer Society. 2020. p. 1532-1537. 9216849. (IEEE International Conference on Automation Science and Engineering). doi: 10.1109/CASE48305.2020.9216849

A Simulation Framework for Service Loss of Power Networks under Extreme Weather Events: A Case of Puerto Rico

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