Chang, Hsueh-Hsien and Yang, Chuan Choong and Lee, Wei-Jen (2020) Fault location identification in power transmission networks using novel non-intrusive fault monitoring systems. In: 56th IEEE Industrial & Commercial Power Systems (I&CPS) Technical Conference, 29th June - 28th July 2020, Las Vegas, Nevada, United States of America.
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Abstract
This paper proposes a novel fault localization method that is based on the non-intrusive 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 can be extracted by the hyperbolic S-transform (HST). To carefully select coefficients of the HST representing fault transient signals and slash the size of inputs for recognition algorithms, power-spectrumbased HST is adopted in this paper 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 for constructing power transmission networks, various fault types are simulated by using electromagnetic transients program (EMTP). The simulation results are achieved to reveal that the proposed methods demonstrate a high success rate of fault location identification in power transmission networks for NIFM applications.
Item Type: | Conference or Workshop Item (Plenary Papers) |
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Additional Information: | 9455/83016 |
Uncontrolled Keywords: | Non-intrusive monitoring (NIM); transmission networks; fault location; feature extraction; neural networks |
Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): | Kulliyyah of Engineering Kulliyyah of Engineering > Department of Manufacturing and Materials Engineering |
Depositing User: | Ir Dr Chuan Choong Yang |
Date Deposited: | 17 Sep 2020 12:40 |
Last Modified: | 20 Oct 2020 14:24 |
URI: | http://irep.iium.edu.my/id/eprint/83016 |
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