The North American Electric Reliability Corporation (NERC) tracks the restoration of the North American transmission system after events which test the grid resilience and reliability. Quantifying and analyzing these historical events is a foundation for studying and maintaining resilience. After showing that the largest recent events are dominated by extreme weather events, the paper analyzes these events by extracting the restore process for each event and defining, calculating, and discussing various metrics that quantify the restoration. The metrics include a duration metric of time to substantial restoration. In 2021, Hurricane Ida was the largest resilience event in the North American system. A case study of Hurricane Ida analyzes the generator outages and restoration as well as the transmission system outages and restoration.
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Assessing Transmission Resilience during Extreme Weather with Outage and Restore Processes
We automatically extract resilience events and novel outage and restore processes from standard transmission utility detailed outage data. This new processing is applied to the outage data collected in NERC’s Transmission Availability Data System to introduce and analyze statistics that quantify resilience of the transmission system against extreme weather events. These metrics (such as outage rate and duration, number of elements outaged, rated capacity outaged, restore duration, maximum simultaneous outages, and element-days lost) are calculated for all large weather-related events on the North American transmission system from 2015 to 2020 and then by extreme weather type that caused them such as hurricanes, tornadoes, and winter storms. Finally, we study how performance of the system changed with respect to the resilience metrics by season and year.
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- PAR ID:
- 10389022
- Date Published:
- Journal Name:
- Probability Methods Applied to Power Systems
- Page Range / eLocation ID:
- 1 to 6
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
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Accepted Manuscript1.0
- Conference Paper:
- https://doi.org/10.1109/PMAPS53380.2022.9810645
