Understanding Discrepancy of Power System Dynamic Security Assessment with Unknown Faults: A Reliable Transfer Learning-based Method
This letter proposes a reliable transfer learning (RTL) method for pre-fault dynamic security assessment (DSA) in power systems to improve DSA performance in the presence of potentially related unknown faults. It takes individual discrep-ancies into consideration and can handle unknown faults with i...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
China electric power research institute
2024-01-01
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| Series: | CSEE Journal of Power and Energy Systems |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10246181/ |
| _version_ | 1797216167154155520 |
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| author | Chao Ren Han Yu Yan Xu Zhao Yang Dong |
| author_facet | Chao Ren Han Yu Yan Xu Zhao Yang Dong |
| author_sort | Chao Ren |
| collection | DOAJ |
| description | This letter proposes a reliable transfer learning (RTL) method for pre-fault dynamic security assessment (DSA) in power systems to improve DSA performance in the presence of potentially related unknown faults. It takes individual discrep-ancies into consideration and can handle unknown faults with incomplete data. Extensive experiment results demonstrate high DSA accuracy and computational efficiency of the proposed RTL method. Theoretical analysis shows RTL can guarantee system performance. |
| first_indexed | 2024-04-24T11:41:39Z |
| format | Article |
| id | doaj.art-6b71762790e348dcb59e923e4ed0157d |
| institution | Directory Open Access Journal |
| issn | 2096-0042 |
| language | English |
| last_indexed | 2024-04-24T11:41:39Z |
| publishDate | 2024-01-01 |
| publisher | China electric power research institute |
| record_format | Article |
| series | CSEE Journal of Power and Energy Systems |
| spelling | doaj.art-6b71762790e348dcb59e923e4ed0157d2024-04-09T19:47:21ZengChina electric power research instituteCSEE Journal of Power and Energy Systems2096-00422024-01-0110142743110.17775/CSEEJPES.2023.0023010246181Understanding Discrepancy of Power System Dynamic Security Assessment with Unknown Faults: A Reliable Transfer Learning-based MethodChao Ren0Han Yu1Yan Xu2Zhao Yang Dong3School of Computer Science and Engineering, Nanyang Technological University,SingaporeSchool of Computer Science and Engineering, Nanyang Technological University,SingaporeSchool of Electrical and Electronic Engineering, Nanyang Technological University,SingaporeSchool of Electrical and Electronic Engineering, Nanyang Technological University,SingaporeThis letter proposes a reliable transfer learning (RTL) method for pre-fault dynamic security assessment (DSA) in power systems to improve DSA performance in the presence of potentially related unknown faults. It takes individual discrep-ancies into consideration and can handle unknown faults with incomplete data. Extensive experiment results demonstrate high DSA accuracy and computational efficiency of the proposed RTL method. Theoretical analysis shows RTL can guarantee system performance.https://ieeexplore.ieee.org/document/10246181/Adversarial trainingdynamic security assessmentmaximum classifier discrepancymissing datatransfer learning |
| spellingShingle | 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 CSEE Journal of Power and Energy Systems Adversarial training dynamic security assessment maximum classifier discrepancy missing data transfer learning |
| title | Understanding Discrepancy of Power System Dynamic Security Assessment with Unknown Faults: A Reliable Transfer Learning-based Method |
| title_full | Understanding Discrepancy of Power System Dynamic Security Assessment with Unknown Faults: A Reliable Transfer Learning-based Method |
| title_fullStr | Understanding Discrepancy of Power System Dynamic Security Assessment with Unknown Faults: A Reliable Transfer Learning-based Method |
| title_full_unstemmed | Understanding Discrepancy of Power System Dynamic Security Assessment with Unknown Faults: A Reliable Transfer Learning-based Method |
| title_short | Understanding Discrepancy of Power System Dynamic Security Assessment with Unknown Faults: A Reliable Transfer Learning-based Method |
| title_sort | understanding discrepancy of power system dynamic security assessment with unknown faults a reliable transfer learning based method |
| topic | Adversarial training dynamic security assessment maximum classifier discrepancy missing data transfer learning |
| url | https://ieeexplore.ieee.org/document/10246181/ |
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