A Fast Fault Localization Method for Power Metering Equipment Based on Hilbert-Huang Transform

With the development of intelligent energy metering equipment, traditional signal processing methods have encountered limitations in measuring instantaneous frequency. This article proposes a fast fault location method for electric energy metering equipment based on the Hilbert Huang transform. Init...

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Bibliographic Details
Published in:Smart grids and sustainable energy 2025-01, Vol.10 (1), p.6, Article 6
Main Authors: Xu, Hongwei, Tang, Hezhong, Tang, Xianmin, Liang, Wenkai
Format: Article
Language:English
Subjects:
Accuracy
Economics and Management
Electrical Machines and Networks
Energy
Energy Policy
Energy Systems
Fault location
Hilbert transformation
Localization
Localization method
Power Electronics
Signal processing
Spectrum allocation
Spectrum analysis
Time-frequency analysis
Voltage
Voltage drop
Wave velocity
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Summary:With the development of intelligent energy metering equipment, traditional signal processing methods have encountered limitations in measuring instantaneous frequency. This article proposes a fast fault location method for electric energy metering equipment based on the Hilbert Huang transform. Initially, the differential voltage drop is measured. Subsequently, variational mode decomposition filtering is applied. Following this, the Hilbert Huang transform is used to calculate the instantaneous frequency and generate a time-frequency diagram. Based on the time-frequency diagram, the fault time is identified at the point of sudden change, and the fault point is determined by integrating this information with the wave velocity. Experimental results demonstrate that this method is applicable to both single and multiple disturbances. It is capable of measuring a -300 V voltage drop and accurately determining the instantaneous frequency. The fault location deviation is merely 1.36 m. The efficacy of this method in fault location is substantiated, which may serve as a reference for future research endeavors.
ISSN:2731-8087
2731-8087
2199-4706
DOI:10.1007/s40866-025-00242-8