A protection method for LCC-VSC hybrid HVDC system based on boundary transient power direction

Lei, Shunguang; Shu, Hongchun; Li, Zhimin; Xiao, Tian; Wang, Shixin

doi:10.1016/j.ijepes.2023.109138

Cited by 5 publications

(1 citation statement)

References 23 publications

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“…Accurate line models are essential for investigating transient analysis in power systems (Zhou et al, 2021;Hu et al, 2022;Lei et al, 2023). The impedance of transmission lines varies with frequency due to the skin effect and the interaction with the ground under alternating electromagnetic fields, resulting in frequency-dependent characteristics (Mingli and Yu, 2004;Martí and Tavighi, 2017;Chen et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Research on concentrated frequency-dependent parameter model for short overhead transmission lines based on first-order rational function fitting

Li,

Sun,

Wen

et al. 2023

Front. Energy Res.

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The impedance of power lines is influenced by geological conditions and skin effect, resulting in frequency-dependent characteristics. In this study, a centralized parameter frequency-dependent line model based on first-order rational function fitting is investigated for short overhead transmission lines. The proposed model incorporates a parallel branch consisting of resistance and inductance obtained through rational function fitting, which mimics the frequency-dependent behavior of the line. The coupling between multiple conductors is represented using controlled sources. Comparative analysis of fitting accuracy and computational efficiency across various orders of rational functions reveals that the first-order rational function fitting offers superior computational efficiency while maintaining high accuracy in the medium and low-frequency range. Simulation results demonstrate that the proposed model, when disregarding wave propagation effects, exhibits comparable accuracy to the distributed parameter line model while achieving higher computational efficiency. Moreover, in transient analysis predominantly influenced by power frequency, the proposed model outperforms the frequency-independent pi(π) line model in terms of accuracy.

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