Research on Cascading Fault Path Analysis of Power System Based on GPU Parallel Computing
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.
Authors
- Chenyang Zhao (ORCID: https://orcid.org/0009-0000-2550-756X)
- Zhengwen Li (ORCID: https://orcid.org/0009-0007-4486-0386)
- Yiheng Bian (ORCID: https://orcid.org/0009-0004-8628-1751)
- Jing Xu (ORCID: https://orcid.org/0000-0002-0647-9767)
- Guangyu Zhu (ORCID: https://orcid.org/0000-0002-3469-3779)
- Gengfeng Li (ORCID: https://orcid.org/0000-0001-6488-4683)
- Dai Cui
Institutions
- State Grid Corporation of China (China) (CN)
- State Key Laboratory of Electrical Insulation and Power Equipment
- Xi'an Jiaotong University (CN)
Publication Details
- Published
- 2024-11-29
- DOI
- https://doi.org/10.1109/ei264398.2024.10990792
- Primary Topic
- Power Systems and Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- State Grid Corporation of China