The improvement in transmission resilience metrics from reduced outages or faster restoration can be calculated by rerunning historical outage data
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| Main Authors: | , , , , |
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| Format: | Preprint |
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2025
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| _version_ | 1866917892074766336 |
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| author | Ahmad, Arslan Dobson, Ian Ekisheva, Svetlana Claypool, Christopher Lauby, Mark |
| author_facet | Ahmad, Arslan Dobson, Ian Ekisheva, Svetlana Claypool, Christopher Lauby, Mark |
| contents | Transmission utilities routinely collect detailed outage data, including resilience events in which outages bunch up due to weather. The resilience events and their resilience metrics can readily be extracted from this historical outage data. Improvements such as grid hardening or investments in restoration lead to reduced outages or faster restoration. We show how to rerun this history with the effects of the reduced outages or faster restoration included to find the resulting improvement in resilience metrics, thus quantifying the benefits of these investments. This is demonstrated with case studies for specific events (a derecho and a hurricane), and all large events or large thunderstorms in the Midwest USA. Instead of predicting future extreme events with models, which is very challenging, the historical rerun readily quantifies the benefits that a resilience investment would have had if it had been made in the past. The historical rerun is particularly vivid in making the case for resilience investments to stakeholders because it quantifies the benefits for events actually experienced by those stakeholders, rather than for future events predicted with uncertainty. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2501_06042 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | The improvement in transmission resilience metrics from reduced outages or faster restoration can be calculated by rerunning historical outage data Ahmad, Arslan Dobson, Ian Ekisheva, Svetlana Claypool, Christopher Lauby, Mark Physics and Society Systems and Control Transmission utilities routinely collect detailed outage data, including resilience events in which outages bunch up due to weather. The resilience events and their resilience metrics can readily be extracted from this historical outage data. Improvements such as grid hardening or investments in restoration lead to reduced outages or faster restoration. We show how to rerun this history with the effects of the reduced outages or faster restoration included to find the resulting improvement in resilience metrics, thus quantifying the benefits of these investments. This is demonstrated with case studies for specific events (a derecho and a hurricane), and all large events or large thunderstorms in the Midwest USA. Instead of predicting future extreme events with models, which is very challenging, the historical rerun readily quantifies the benefits that a resilience investment would have had if it had been made in the past. The historical rerun is particularly vivid in making the case for resilience investments to stakeholders because it quantifies the benefits for events actually experienced by those stakeholders, rather than for future events predicted with uncertainty. |
| title | The improvement in transmission resilience metrics from reduced outages or faster restoration can be calculated by rerunning historical outage data |
| topic | Physics and Society Systems and Control |
| url | https://arxiv.org/abs/2501.06042 |