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<p>In recent years, due to environmental concerns and increasing energy demand driven by technological advancements, there has been growing interest in implementing renewable energy sources, particularly wind energy, for electrical power generation. The integration of wind turbines (WTs) into power systems introduces challenges to existing protection schemes, notably by affecting power swing (PS) parameters and complicating PS detection algorithms. This paper proposes a novel approach based on signal compression theory (CST) combined with empirical wavelet transform (EWT) to detect PS in transmission lines connected to WTs. Simulation results demonstrate that the proposed method accurately detects PS in both WT-connected and non-WT lines using a fixed threshold, eliminating the need for threshold adjustments. Notably, while comparative methods showed up to 100% misclassification rates during WT connection scenarios, the proposed method maintained detection accuracy above 99% under various operating conditions. Additionally, it effectively identifies stable, unstable, and multimode PS events, while remaining robust against noise and capacitor bank switching. These results confirm the effectiveness and reliability of the CST-EWT approach, highlighting its suitability for modern power systems integrating renewable energy sources.</p>

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A novel hybrid approach for power swing detection: a case study wind turbine

  • 期刊论文

  • 发表日期：

    2025年8月14日

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  • Mehdi Mohammadi Ghalesefidi,
  • Behrooz Taheri,
  • Marjan Yousefi

摘要

In recent years, due to environmental concerns and increasing energy demand driven by technological advancements, there has been growing interest in implementing renewable energy sources, particularly wind energy, for electrical power generation. The integration of wind turbines (WTs) into power systems introduces challenges to existing protection schemes, notably by affecting power swing (PS) parameters and complicating PS detection algorithms. This paper proposes a novel approach based on signal compression theory (CST) combined with empirical wavelet transform (EWT) to detect PS in transmission lines connected to WTs. Simulation results demonstrate that the proposed method accurately detects PS in both WT-connected and non-WT lines using a fixed threshold, eliminating the need for threshold adjustments. Notably, while comparative methods showed up to 100% misclassification rates during WT connection scenarios, the proposed method maintained detection accuracy above 99% under various operating conditions. Additionally, it effectively identifies stable, unstable, and multimode PS events, while remaining robust against noise and capacitor bank switching. These results confirm the effectiveness and reliability of the CST-EWT approach, highlighting its suitability for modern power systems integrating renewable energy sources.