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Generative AI-augmented Monte Carlo Simulation for Resilience Assessment of Typhoon-affected Power Distribution Systems

Xuanman Rong Yuxiong Huang Gengfeng Li Zhaohong Bie

中国电机工程学会电力与能源系统学报（英文版）2025，Vol.11Issue(6)：2659-2672,14.

中国电机工程学会电力与能源系统学报（英文版）2025，Vol.11Issue(6)：2659-2672,14.DOI:10.17775/CSEEJPES.2025.06160

Generative AI-augmented Monte Carlo Simulation for Resilience Assessment of Typhoon-affected Power Distribution Systems

Xuanman Rong ¹Yuxiong Huang ¹Gengfeng Li ¹Zhaohong Bie¹

作者信息

1. School of Electrical Engineering and the State Key Laboratory of Electrical Insulation and Power Equipment,Xi'an Jiaotong University,Xi'an 710049,China
折叠

摘要

关键词

Active distribution system/extreme event/generative adversarial networks/machine learning/Monte Carlo simulation/resilience assessment/typhoon

Key words

Active distribution system/extreme event/generative adversarial networks/machine learning/Monte Carlo simulation/resilience assessment/typhoon

引用本文复制引用

Xuanman Rong,Yuxiong Huang,Gengfeng Li,Zhaohong Bie..Generative AI-augmented Monte Carlo Simulation for Resilience Assessment of Typhoon-affected Power Distribution Systems[J].中国电机工程学会电力与能源系统学报（英文版）,2025,11(6):2659-2672,14.

基金项目

This work was supported by the National Natural Science Foundation of China(52307137). （52307137）

中国电机工程学会电力与能源系统学报（英文版）

ISSN：2096-0042

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