Scholarlink

Microgrids that combine solar and wind energy are now widely employed in the power industry to improve electrical system dependability and lower structural losses. Our approach leverages wavelet transform (WT) to analyze fault transient signals using the Bior1.5 mother wavelet. It decomposes Waveforms into detailed measurement values, providing information about fault type and location.

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PV and Wind Integration of Microgrid Protection Scheme in Using Wavelet and Machine Learning

  • 会议论文

  • 发表日期：

    2026年

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  • Ravi Kumar Goli,
  • Ramakrishna Ganji,
  • Madhulatha Bethala,
  • Vijay Chukka,
  • Gopi Chand Govathoti

摘要

Microgrids that combine solar and wind energy are now widely employed in the power industry to improve electrical system dependability and lower structural losses. Our approach leverages wavelet transform (WT) to analyze fault transient signals using the Bior1.5 mother wavelet. It decomposes Waveforms into detailed measurement values, providing information about fault type and location.