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 |
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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 | |
State | Published - Aug 2020 |
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 |
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Volume | 2020-August |
ISSN (Print) | 2161-8070 |
ISSN (Electronic) | 2161-8089 |
Conference
Conference | 16th IEEE International Conference on Automation Science and Engineering, CASE 2020 |
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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.