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Detection of Power Quality Disturbances Based on Generalized Morphological Filter and Information Theory

机译:基于广义形态滤波和信息论的电能质量扰动检测

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Detection of power quality (PQ) events is a significant task for the power system monitoring. This paper presents a new method for the detection of PQ disturbances using mathematical morphologic and information theory, which employs the generalized morphologic filter as pre-processing unit and difference entropy as a feature extracting unit. A simulation on six ideal signals, such as ideal sine wave, interruption, voltage sag, voltage swell, impulse and oscillation transient, is done and its results show that the proposed method has good adaptability on signals excepting disturbance occurs on cross-zero instant.
机译:检测电源质量(PQ)事件是电源系统监视的一项重要任务。本文提出了一种基于数学形态学和信息论的PQ扰动检测新方法,该方法以广义形态学滤波器为预处理单元,以差分熵为特征提取单元。对理想的正弦波,中断,电压骤降,电压骤升,脉冲和振荡暂态等六个理想信号进行了仿真,结果表明,该方法除过零瞬间发生干扰外,对信号具有良好的适应性。

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