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Understanding Discrepancy of Power System Dynamic Security Assessment with Unknown Faults: A Reliable Transfer Learning-based Method

Chao Ren Han Yu Yan Xu Zhao Yang Dong

CSEE Journal of Power and Energy Systems2024，Vol.10Issue(1)：P.427-431,5.

CSEE Journal of Power and Energy Systems2024，Vol.10Issue(1)：P.427-431,5.DOI:10.17775/CSEEJPES.2023.00230

Understanding Discrepancy of Power System Dynamic Security Assessment with Unknown Faults: A Reliable Transfer Learning-based Method

Chao Ren ¹Han Yu ¹Yan Xu ²Zhao Yang Dong²

作者信息

1. School of Computer Science and Engineering,Nanyang Technological University,Singapore
2. School of Electrical and Electronic Engineering,Nanyang Technological University,Singapore
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摘要

关键词

Adversarial training/dynamic security assessment/maximum classifier discrepancy/missing data/transfer learning

分类

信息技术与安全科学

引用本文复制引用

Chao Ren,Han Yu,Yan Xu,Zhao Yang Dong..Understanding Discrepancy of Power System Dynamic Security Assessment with Unknown Faults: A Reliable Transfer Learning-based Method[J].CSEE Journal of Power and Energy Systems,2024,10(1):P.427-431,5.

基金项目

supported by the Internal Talent Award(TRACS)with Wallenberg-NTU Presidential Postdoctoral Fellowship 2022 （TRACS）

the National Research Foundation,Singapore and DSO National Laboratories under the AI Singapore Program(AISG Award No:AISG2-RP-2020-019) （AISG Award No:AISG2-RP-2020-019）

the RIE 2020 Advanced Manufacturing and Engineering(AME)Programmatic Fund(No.A20G8b0102),Singapore （AME）

Future Communications Research&Development Program(FCP-NTU-RG-2021-014). （FCP-NTU-RG-2021-014）

CSEE Journal of Power and Energy Systems

OACSTPCDEI

ISSN：2096-0042

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