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Aiming at the problem of fault location error caused by noise interference of wind farm collector line, the accurate positioning method of improved double-ended traveling wave method is adopted. Through PSCAD/EMTDC simulation verification, the fault type identification and wave head detection are realized by optimized phase mode transform and wavelet transform, and ICEEMDAN-PE-improved wavelet threshold joint denoising algorithm is proposed. Through the collaborative optimization of modal decomposition and entropy threshold, the algorithm significantly improves the SNR and RMSE under the simulated conditions of Gaussian white noise injection. The ranging error is stably controlled within 0.5%, which meets the engineering accuracy requirements and provides reliable technical support for the intelligent operation and maintenance system of wind farms.

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Research on Fault Location Method of Wind Farm Collector Line Based on ICEEMDAN-PE and Improved Wavelet Threshold Denoising

  • 会议论文

  • 发表日期：

    2026年

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  • Huida Duan,
  • Song Bai,
  • Zhipeng Gao,
  • Ying Zhao,
  • Shengyang Zheng

摘要

Aiming at the problem of fault location error caused by noise interference of wind farm collector line, the accurate positioning method of improved double-ended traveling wave method is adopted. Through PSCAD/EMTDC simulation verification, the fault type identification and wave head detection are realized by optimized phase mode transform and wavelet transform, and ICEEMDAN-PE-improved wavelet threshold joint denoising algorithm is proposed. Through the collaborative optimization of modal decomposition and entropy threshold, the algorithm significantly improves the SNR and RMSE under the simulated conditions of Gaussian white noise injection. The ranging error is stably controlled within 0.5%, which meets the engineering accuracy requirements and provides reliable technical support for the intelligent operation and maintenance system of wind farms.