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基于时序熵与能量比的小电流CT断线双重动态闭锁判别方法

A Dual Dynamic Lockout Detection Method for Low-Current CT Open Circuits Based on Time-Series Entropy and Energy Ratio

  • 摘要: 针对小电流工况下CT断线与接地故障的特征混淆问题,提出基于时序熵与能量比的小电流CT断线双重动态闭锁判别方法:以时序熵量化时域无序度,以能量比区分频谱衰减差异,并结合零序有效值构建协同闭锁逻辑。实验表明,在1%~5%额定电流下,判别成功率超90%,响应时间低于100 ms,有效提升小电流场景下CT断线判别的可靠性与抗噪性。

     

    Abstract: To address the issue of confusion between CT open-circuit faults and ground faults under low-current conditions, this study proposes a dual dynamic lockout method for low-current CT open-circuit detection based on temporal entropy and energy ratio: temporal entropy is used to quantify time-domain disorder, while the energy ratio distinguishes differences in spectral attenuation, and these are combined with the zero-sequence rms value to construct a collaborative lockout logic. Experiments show that, at currents ranging from 1% to 5% of the rated current, the discrimination success rate exceeds 90% and the response time is less than 100 ms, effectively improving the reliability and noise immunity of CT open-circuit detection in low-current scenarios.

     

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