Chang, Hsueh-Hsien and Yang, Chuan Choong and Lee, Wei-Jen (2021) Fault location identification in power transmission networks: using novel nonintrusive fault-monitoring systems. IEEE Industry Applications Magazine, 27 (2). pp. 76-89. ISSN 2158-4893 E-ISSN 2158-4907
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Abstract
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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