Fault location identification in power transmission networks: using novel nonintrusive fault-monitoring systems
This article proposes a novel fault-localization method that is based on the nonintrusive fault-monitoring (NIFM) techniques in high-voltage/extra-high-voltage (HV/EHV) power transmission networks. In this work, the fault signals measured at the utilities are extracted by the hyperbolic S-transform...
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| 主要な著者: | , , |
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| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
IEEE
2021
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| 主題: | |
| オンライン･アクセス: | http://irep.iium.edu.my/88312/7/88312_Fault%20Location%20Identification.pdf http://irep.iium.edu.my/88312/ https://ieeexplore.ieee.org/document/9285331 |
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| 要約: | This article proposes a novel fault-localization method that is based on the nonintrusive fault-monitoring (NIFM) techniques in high-voltage/extra-high-voltage (HV/EHV) power transmission networks. In this work, the fault signals measured at the utilities are extracted by the hyperbolic S-transform (HST) before going through the identification process. To carefully select coefficients of the HST representing fault transient signals and reduce the size of inputs for recognition algorithms, power-spectrum-based HST is adopted in this article to quantitatively transform the HST coefficients (HSTCs). After the processes of feature selection, the fault-location indicator is recognized by the support vector machines (SVMs). To examine and validate the proposed methodology, various fault types in a sample power system are simulated by using the electromagnetic transient program (EMTP). The simulation results reveal that the proposed methods demonstrate a high success rate of fault-location identification in power transmission networks for NIFM applications. |
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