@inproceedings{722571e644da46f99d4e340cd6796584,
title = "Research on Cascading Fault Path Analysis of Power System Based on GPU Parallel Computing",
abstract = "Recently, the frequency of extreme disasters has increased, leading to higher risk of cascading failures in power system. To solve the problems faced by the overload-dominant cascading fault analysis, this paper proposes a cascading fault path evolution analysis method based on GPU parallel. Case studies confirmed that the overall computation time is reduced by about 50\%. This method provides a scientific basis for defense strategies after disaster warnings, thus reducing disaster losses.",
keywords = "Extreme disasters, GPU parallel, optimal power flow, overload-dominant cascading fault",
author = "Jing Xu and Dai Cui and Zhengwen Li and Guangyu Zhu and Chenyang Zhao and Yiheng Bian and Gengfeng Li",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 8th IEEE Conference on Energy Internet and Energy System Integration, EI2 2024 ; Conference date: 29-11-2024 Through 02-12-2024",
year = "2024",
doi = "10.1109/EI264398.2024.10990792",
language = "英语",
series = "2024 IEEE 8th Conference on Energy Internet and Energy System Integration, EI2 2024",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "4786--4791",
booktitle = "2024 IEEE 8th Conference on Energy Internet and Energy System Integration, EI2 2024",
}
