An earth fault diagnosis method based on online dynamically calculated thresholds for resonant ground systems
Lin, Jiahao and Guo, Moufa and Hong, Qiteng and Jiang, Run (2024) An earth fault diagnosis method based on online dynamically calculated thresholds for resonant ground systems. IEEE Transactions on Smart Grid, 15 (4). pp. 3459-3473. ISSN 1949-3053 (https://doi.org/10.1109/tsg.2023.3346453)
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Abstract
The primary problem of distribution system protection is single-line-to-ground (SLG) fault, particularly in networks with distributed generators (DGs), where asymmetrical phase sequence components caused by SLG faults may lead to system instability. Currently, the location and suppression methods of SLG faults are based on reliable fault diagnosis. Therefore, considering the imbalance of line parameters, this paper analyzes the fault characteristics of zero-sequence voltage (ZSV), and proposes a threshold-online-calculating-based SLG fault diagnosis method, which includes fault detection, fault occurrence moment capture and fault nature estimation. Firstly, the ZSV is measured in real time by the designed feeder terminal unit (FTU), which is embedded with the proposed SLG fault diagnosis method. Secondly, the ZSV signal is decomposed by the Mallat algorithm, and the fault diagnosis thresholds are calculated through the maximum margin hyperplane, which is used for fault detection and fault nature estimation. Finally, the fault occurrence moment is captured by variational mode decomposition (VMD) and its Teager Energy Operator (TEO). The proposed SLG fault diagnosis method has been tested in simulation and physical experiments in a 10kV system, the effectiveness and feasibility have been validated.
ORCID iDs
Lin, Jiahao, Guo, Moufa, Hong, Qiteng ORCID: https://orcid.org/0000-0001-9122-1981 and Jiang, Run;-
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Item type: Article ID code: 88864 Dates: DateEvent1 July 2024Published15 January 2024Published Online1 January 2024AcceptedSubjects: Technology > Electrical engineering. Electronics Nuclear engineering
Science > Mathematics > Electronic computers. Computer scienceDepartment: Faculty of Engineering > Electronic and Electrical Engineering Depositing user: Pure Administrator Date deposited: 22 Apr 2024 12:21 Last modified: 16 Nov 2024 01:27 URI: https://strathprints.strath.ac.uk/id/eprint/88864