Research on Single-Ended Protection for Multi-Terminal Flexible DC Lines Based on Line-Mode Reverse Traveling-Wave Covariance

Multi-terminal HVDC transmission lines contain a T-zone, where no explicit line boundary element exists. Conventional traveling-wave (TW) protection schemes mainly identify faults by utilizing the attenuation characteristics of TWs caused by transmission lines and boundary elements. Therefore, their performance is sensitive to transition resistance and sampling frequency, and they cannot be directly applied to fault identification in the T-zone. To address this issue, this paper proposes a single-ended directional protection scheme based on the normalized covariance of line-mode backward TWs. The proposed method constructs the protection criterion according to the overall waveform variation in line-mode backward TWs. It does not rely on boundary-effect-induced wave attenuation or the extraction of specific high- or low-frequency components. Fault regions are identified using only local measurements collected by the protection devices installed on both sides of the T-zone, and the fault pole is determined by the bipolar voltage ratio. A ±500 kV three-terminal MMC-based multi-terminal DC system is established in PSCAD to evaluate the proposed scheme. Simulation results show that the proposed method identifies the fault region within a 0.5 ms data window. It can tolerate transition resistances up to 300 Ω and 40 dB Gaussian white noise. The proposed scheme features fast operation, low computational complexity, and high robustness.

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Publication Details

Journal
Energies
Published
2026-09-17
DOI
https://doi.org/10.3390/en19184400
Primary Topic
HVDC Systems and Fault Protection
Type
article
Field-Weighted Citation Impact
0.00

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article

Research on Single-Ended Protection for Multi-Terminal Flexible DC Lines Based on Line-Mode Reverse Traveling-Wave Covariance

Xiaodong Xing, Wei Liu, Shihao Yin, Shixian Hui et al.
Energies
HVDC Systems and Fault Protection
article

Research on Single-Ended Protection for Multi-Terminal Flexible DC Lines Based on Line-Mode Reverse Traveling-Wave Covariance

Xiaodong Xing, Wei Liu, Shihao Yin, Shixian Hui, Guangtao Feng, Bin Zhang, Penglin Wang
article en

Abstract

Multi-terminal HVDC transmission lines contain a T-zone, where no explicit line boundary element exists. Conventional traveling-wave (TW) protection schemes mainly identify faults by utilizing the attenuation characteristics of TWs caused by transmission lines and boundary elements. Therefore, their performance is sensitive to transition resistance and sampling frequency, and they cannot be directly applied to fault identification in the T-zone. To address this issue, this paper proposes a single-ended directional protection scheme based on the normalized covariance of line-mode backward TWs. The proposed method constructs the protection criterion according to the overall waveform variation in line-mode backward TWs. It does not rely on boundary-effect-induced wave attenuation or the extraction of specific high- or low-frequency components. Fault regions are identified using only local measurements collected by the protection devices installed on both sides of the T-zone, and the fault pole is determined by the bipolar voltage ratio. A ±500 kV three-terminal MMC-based multi-terminal DC system is established in PSCAD to evaluate the proposed scheme. Simulation results show that the proposed method identifies the fault region within a 0.5 ms data window. It can tolerate transition resistances up to 300 Ω and 40 dB Gaussian white noise. The proposed scheme features fast operation, low computational complexity, and high robustness.

EnergiesVol. 19(18)
Southwest Jiaotong University (CN), China Southern Power Grid (China) (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 21%
HVDC Systems and Fault Protection
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Research on Single-Ended Protection for Multi-Terminal Flexible DC Lines Based on Line-Mode Reverse Traveling-Wave Covariance — Xiaodong Xing, Wei Liu, et al. · Energies (2026) | TGRS Research Map | TGRS