Large-scale data analysis of power grid resilience across multiple US service regions
Source abstract
Abstract
Severe weather events frequently result in large-scale power failures, affecting millions of people for extended durations. However, the lack of comprehensive, detailed failure and recovery data has impeded large-scale resilience studies. Here, we analyse data from four major service regions representing Upstate New York during Super Storm Sandy and daily operations. Using non-stationary spatiotemporal random processes that relate infrastructural failures to recoveries and cost, our data analysis shows that local power failures have a disproportionally large non-local impact on people (that is, the top 20% of failures interrupted 84% of services to customers). A large number (89%) of small failures, represented by the bottom 34% of customers and commonplace devices, resulted in 56% of the total cost of 28 million customer interruption hours. Our study shows that extreme weather does not cause, but rather exacerbates, existing vulnerabilities, which are obscured in daily operations. Power grids often fail during extreme weather events such as hurricanes, leaving millions of customers without electricity. A large-scale analysis of the operation of power grids in an extended geographical area now reveals that such events exacerbate vulnerabilities that are obscured during normal operation.
Source: openaire · Quality: candidate unverified · Source record ↗
Research context
OpenAlex topics: Infrastructure Resilience and Vulnerability Analysis · Smart Grid Security and Resilience · Power System Optimization and Stability
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (39)
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