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Analysis and Design of Damping Circuit Parameters for LCC Valves Based on Broadband Model

Author

Listed:
  • Yingjie Tang

    (College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)

  • Zheren Zhang

    (College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)

  • Zheng Xu

    (College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)

Abstract

Damping circuits are installed inside the converter valve to limit commutation overshoots. They have significant effects on the valve’s turn-off performances, which should be carefully considered in parameter design. First, the calculation models for the turn-off process are discussed, including the conventional low frequency model and the broadband model. Then, it is found that high-frequency equipment parameters have significant effects on the transient valve voltage, which means that the conventional analytical methods based on low-frequency models is not suitable for damping circuit parameter design. The relationships between the turn-off performances and damping circuit parameters have also been analyzed in detail with the broadband model. To achieve better economic efficiency, this paper proposes a novel method for damping circuit parameter optimization, which combines the electromagnetic transient (EMT) calculation and the numerical optimization. Last, the case study is carried out based on a practical ±1100 kV ultra-high-voltage direct-current (UHVDC) transmission project, which proves the reliability and flexibility of the proposed method.

Suggested Citation

  • Yingjie Tang & Zheren Zhang & Zheng Xu, 2020. "Analysis and Design of Damping Circuit Parameters for LCC Valves Based on Broadband Model," Energies, MDPI, vol. 13(5), pages 1-21, February.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:5:p:1059-:d:326092
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    References listed on IDEAS

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    1. George E. P. Box, 1957. "Evolutionary Operation: A Method for Increasing Industrial Productivity," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 6(2), pages 81-101, June.
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