基于品质因子可调小波变换与排列熵的电能质量信号检测方法  

Power quality signal detection method with tunable Q-factor wavelet transform and permutation entropy

作　　者：张宇辉[1] 武东斌 吴家明 王劼妍 孙玉成[1] ZHANG Yu-hui;WU Dong-bin;WU Jia-ming;WANG Jie-yan;SUN Yu-cheng(Institute ofElectric Engineering,Northeast Dianli University,Jilin 132012,China;State Grid Jilin Electric Power Co.Ltd.,Tonghua Power Supply Company,Tonghua 134001,China;State Grid Jiangxi Electric Power Company,NanchangPower Supply Branch,Nanchang 330006,China)

机构地区：[1]东北电力大学电气工程学院,吉林吉林132012 [2]国家电网吉林省电力有限公司通化供电公司,吉林通化134001 [3]国家电网江西省电力公司南昌供电分公司,江西南昌330006

出　　处：《电力科学与技术学报》2018年第1期75-80,共6页Journal of Electric Power Science And Technology

摘　　要：为有效检测电能质量信号,提出一种基于品质因子可调小波变换(TQWT)与排列熵的检测方法。方法利用电能质量信号与噪声信号品质因子的不同,通过品质因子小波变换将信号分解为高共振分量(电能质量信号)、低共振分量(脉冲噪声)及余项(随机噪声),从而实现电能质量信号与脉冲噪声和随机噪声的分离。通过排列熵值的变化检测出信号的突变点,捕捉扰动信号的起止时刻。该方法可有效抑制脉冲噪声与随机噪声,且波形畸变小、扰动特征提取准确。仿真结果验证了所提方法的可行性与有效性。To effectively detect the power quality signal,a method with the tunable Q-factor wavelet transform(TQWT)and permutation entropy was proposed in this paper.Using the distinct Q-factor of power quality signal and noise signal,power quality signals were decomposed into high resonance component(power quality signal),low resonance component(impulse noise)and residual(random noise)by TQWT,which realized the separation of power quality signal,impulse noise and random noise.By changing of the permutation entropy to detect the mutation point of the signal,the starting and ending time of the disturbance signal were captured.The method could effectively suppress the impulse noise and random noise,the waveform distortion was small,and the disturbance feature was accurately extracted.Simulation results proved the feasibility and effectiveness of the proposed method.

关 键 词：电能质量 品质因子可调小波变换 高共振分量 低共振分量 排列熵 

分 类 号：TM71[电气工程—电力系统及自动化]