Abstract
Aiming at the operation and maintenance requirements of the fault location of high-temperature superconducting cables, a fault location method of high-temperature superconducting cables based on the improved time-frequency domain reflection method and EEMD noise reduction is proposed. Considering the cross-term interference problem in the traditional time-frequency domain reflection method, this paper introduces the affine transformation to project the time-frequency distribution of the self-term and the cross term and further highlights the characteristic differences between the two through coordinate transformation, and the particle swarm algorithm is employed to solve the optimal stagger angle of the affine transformation. The unscented particle filter is adopted to separate the cross term, and EEMD noise reduction is introduced to solve the signal noise problem. Finally, two software programs, PSCAD and MATLAB, are employed for joint simulation to build a model of high-temperature superconducting cable. The simulation example shows that the proposed method in this paper can eliminate the cross-term interference of the traditional time-frequency domain reflection method, effectively locate the fault of the high-temperature superconducting cable, and improve the positioning accuracy.
Highlights
In recent years, with the continuous development of social economy, conventional urban cable transmission capacity is small, covers a large area, and has high line loss, so the shortcomings such as the difficulty of grid expansion are increasingly prominent, which restricts the development of smart grid [1,2,3]
There have been many studies on cable fault location, mainly focusing on the low-voltage pulse reflection method based on traveling wave theory [10], pulse current method [11], pulse voltage method [12], wavelet analysis method [13], and so on, while there are very few results dedicated to the study of high-temperature superconducting cable fault location
Wang et al [15] conducted a high-temperature superconducting cable fault location study based on time-frequency domain reflectometry (TFDR) and introduced the pseudo-Wigner– Ville distribution (PWVD) to analyze the time-frequency of the signal
Summary
With the continuous development of social economy, conventional urban cable transmission capacity is small, covers a large area, and has high line loss, so the shortcomings such as the difficulty of grid expansion are increasingly prominent, which restricts the development of smart grid [1,2,3]. Wang et al [15] conducted a high-temperature superconducting cable fault location study based on time-frequency domain reflectometry (TFDR) and introduced the pseudo-Wigner– Ville distribution (PWVD) to analyze the time-frequency of the signal. Signals are often noisy during transmission, and the accuracy of fault location can be improved by using suitable noise reduction methods. The EMD suffers from mode aliasing, which limits the noise reduction effect To overcome this shortage, this paper introduces the ensemble empirical mode decomposition (EEMD) [22, 23] method, which introduces Gaussian white noise to maximize the retention of the real signal. Is paper proposes a fault location method for hightemperature superconducting cables based on the improved time-frequency domain reflection method and EEMD noise reduction. The simulation environment is built to verify the validity and accuracy of the model in this paper
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