Enhancing Resilience of Power Systems against Typhoon Threats: A Hybrid Data-Model Driven Approach
<|reference_start|>Enhancing Resilience of Power Systems against Typhoon Threats: A Hybrid Data-Model Driven Approach: This chapter addresses the increasing vulnerability of coastal regions to typhoons and the consequent power outages, emphasizing the critical role of power transmission systems in disaster resilience. It introduces a framework for assessing and enhancing the resilience of these systems against typhoon impacts. The approach integrates a hybrid-driven model for system failure analysis and resilience assessment, employing both data-driven and model-driven techniques. It includes a unique method to identify system vulnerabilities and optimal strategies for resilience enhancement, considering cost-effectiveness. The efficacy of this method is demonstrated through simulations on the IEEE RTS-79 system under realistic typhoon scenarios, showcasing its potential to guide planners in making informed decisions for disaster resilience.<|reference_end|>
@article{li2024enhancing,
    title={Enhancing Resilience of Power Systems against Typhoon Threats: A Hybrid
  Data-Model Driven Approach},
    author={Yang Li},
    journal={Artificial Intelligence for Reliability and Maintainability of
  Energy Systems 2025 (ISBN: 9780443247224)},
    year={2024},
    archivePrefix={arXiv},
    eprint={2406.10298},
    primaryClass={eess.SY cs.SY}
}