Resilience assessment and improvement for electric power transmission systems against typhoon disasters: A data-model hybrid driven approach
Rui Yang, Yang Li

TL;DR
This paper presents a hybrid data-model approach to assess and enhance the resilience of electric power transmission systems against typhoon damage, integrating models, data-driven schemes, and simulation for strategic improvements.
Contribution
It introduces a novel hybrid framework combining models and data-driven methods for resilience assessment and optimization specifically tailored for typhoon-affected transmission systems.
Findings
Accurately identifies weak links in transmission systems.
Effectively recommends cost-effective resilience improvement strategies.
Validates the approach using IEEE RTS-79 system simulations.
Abstract
In response to the damage to electric power transmission systems caused by typhoon disasters in coastal areas, a planning-targeted resilience assessment framework that considers the impact of multiple factors is established to accurately find the weak links of the transmission system and improve the system resilience. Firstly, this paper constructs the attenuation model of the wind field and the comprehensive failure model of the system, in which the model drive to establish the cumulative failure model of the transmission system is adopted, and multiple data-driven schemes to correct the cumulative failure rate by relying on the feature factor information of the transmission system is adopted. At the same time, an analytic hierarchy process-weighted arithmetic averaging (AHP-WAA) method is introduced to select the optimal data-driven evaluation scheme. Secondly, this paper adopts the…
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Taxonomy
TopicsInfrastructure Resilience and Vulnerability Analysis · Power System Reliability and Maintenance · Flood Risk Assessment and Management
