Author(s)

Yinping Zhou ¹, Yanjun Li ¹, Zhijie Wang ¹

Affiliation(s)

¹ China Electric Power Research Institute, Beijing, China

Corresponding Author

Yinping Zhou

ABSTRACT

With the rapid development of direct current (DC) transmission projects in China, the scale of cross-area transmission lines is expanding continuously, the length of lines is increasing, and the operation environment is complex, which puts forward higher requirements for fault location technology. In the existing ranging methods based on double-ended traveling wave theory, the accuracy of wavefront identification directly determines the accuracy of fault location, and the difficulty of wavelet basis selection is a key factor affecting the effect of wavefront identification. To solve this problem, a DC transmission line fault location method based on accurate wavelet basis selection is proposed in this paper. By constructing the wavefront similarity criterion, the optimal basis function is adaptively selected from the candidate wavelet bases, and the high-precision recognition of the wavefront time is realized by combining the wavelet transform and the modulus maximum method. Simulation and experimental results show that the proposed method can significantly reduce the wavefront time recognition error and ranging error, and has the engineering advantages of small amount of calculation and strong portability.

KEYWORDS

DC Transmission; Fault Location; Wavelet Basis; Wavefront Recognition; Traveling Wave Method

CITE THIS PAPER

Yinping Zhou, Yanjun Li, Zhijie Wang, A Wavefront Identification Method Based on Similarity Calculation for Fault Location of DC Transmission Line. Frontiers in Power and Energy Systems (2025) Vol. 4: 85-92. DOI: http://dx.doi.org/10.23977/fpes.2025.040111.

REFERENCES

[1] Zhang, Yanxia , et al. "VSC-HVDC transmission line fault location based on transient characteristics." Archives of Electrical Engineering(2021).
[2] Xinqiao, Fan , and  Z. Yongli . "A Novel Fault Location Scheme for Multi-Terminal Transmission Lines Based on Principle of Double-Ended Traveling Wave." Power System Technology(2013).
[3] Mallat, S. G., & Hwang, W. L. (1992). Singularity Detection and Processing with Wavelets. IEEE Transactions on Information Theory, 38(2), 617-643.
[4] Lin, Xiangning, et al. "Universal Wavefront Positioning Correction Method on Traveling-Wave-Based Fault-Location Algorithms." IEEE Transactions on Power Delivery(2012):1601-1610.

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