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.

中文翻译：

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输电网络中的故障位置识别：使用新型非侵入式故障监控系统

本文提出了一种新的故障定位方法，该方法基于高压/超高压（HV / EHV）输电网络中的非侵入式故障监控（NIFM）技术。在这项工作中，在进行识别过程之前，通过双曲线S变换（HST）提取在公用事业处测得的故障信号。为了仔细选择代表故障瞬变信号的HST系数并减小输入的大小以用于识别算法，本文采用基于功率谱的HST对HST系数（HSTC）进行了定量转换。在特征选择过程之后，支持向量机（SVM）识别故障定位指示器。为了检查和验证提议的方法，使用电磁暂态程序（EMTP）对示例电力系统中的各种故障类型进行了仿真。仿真结果表明，所提出的方法在NIFM应用的输电网络中具有较高的故障定位识别成功率。