Optimization Study of Multidimensional Computational Model for Distribution Network Cable Fault Location and Hidden Danger Warning System in Smart Grid Environment
Traditional frequency spectrum testing instruments have limited gain bandwidth and low output voltage in the high-frequency range, leading to severe signal attenuation during long-distance cable testing and distortion issues in the high-frequency range of the impedance spectrum. This paper proposes...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11048539/ |
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| Summary: | Traditional frequency spectrum testing instruments have limited gain bandwidth and low output voltage in the high-frequency range, leading to severe signal attenuation during long-distance cable testing and distortion issues in the high-frequency range of the impedance spectrum. This paper proposes a cable fault diagnosis and localization method based on a pseudo-trapezoidal wave (PT-PFM) excitation impedance spectrum digital reconstruction algorithm. By analyzing the influence of local fault impedance on the input impedance spectrum for different types of faults, as well as the attenuation characteristics of the excitation voltage signal at the input end and the power transmission characteristics, we designed a high-capacity pseudo-trapezoidal wave excitation system based on a SiC high-speed inverter, which can measure impedance spectrum information at frequencies up to 7 MHz, and utilizes digital reconstruction technology to achieve full coverage of a wide frequency range from 0.1 Hz to 60 MHz. Experiments show that in locating faults in a 120 m cable, the positioning error using the spatiotemporal transformation function is reduced by over 80% compared to traditional methods, the oscillation amplitude of the interval is reduced by 50%, and the convergence speed is improved by 60%. Additionally, the identification accuracy for both high-resistance and low-resistance faults exceeds 95%. The experimental results demonstrate that compared to traditional low-voltage sinusoidal excitation, this method produces smaller oscillations in the positioning results through the spatiotemporal transformation function, faster convergence speed, and an improvement in fault localization accuracy of over 80%, thereby validating the effectiveness and accuracy of this method. |
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| ISSN: | 2169-3536 |