基于数学形态学和简化熵的电能质量扰动定位

提出了简化熵的概念,并将其与数学形态学理论结合应用于电能质量扰动定位。首先,利用数学形态学理论构造了自适应尺度结构元素形态学滤波器,用于滤除噪声和谐波;其次,根据信息熵理论提出简化熵概念,将其用于表征信号每个时刻的稳定度以得到突变点位置;最后,分析对比了在幅度、谐波含量和白噪声含量不同时,该方法的有效性,仿真结果表明,该方法能在多种干扰下快速有效的定位扰动发生时刻。

Location of Power Quality Disturbances Based on Mathematical Morphology and Simplified Entropy

The concept of simplified entropy is proposed and applied in detecting the location of power quality disturbances combined with Mathematical Morphology; Firstly,a morphological filter with adaptive structure elements is designed in the theory of mathematical morphology to filter noises and harmonics. Then, the concept of simplified entropy is proposed based on the theory of information entropy, and used to show the stability of the signal for each time to obtain a singular point. Finally, the validity of the method is analyzed and compared in different conditions of the amplitude,harmonic content and white noise variance,the simulation results show that this method can quickly and effectively detect the disturbances duration in the case of multiple interference.