一种改进的小波变换抗混叠电力系统谐波检测方法
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摘要
由于电力电子等非线性元件的大量投入,使得电力系统谐波污染日益严重。采取有效的措施对谐波信号进行检测和分析,是治理谐波首先需要解决的一个重要问题。小波变换具有时-频局部化功能,在非稳定信号和暂态信号的处理分析中优势明显,能够实时监测瞬变信号,但小波变换存在频谱混叠现象,导致检测出的谐波不能严格分频,与理论值的偏差较大,影响检测的精度。基于此,提出了一种在小波分解和重构滤波器之间加奇抽取支路环节并作二次补偿的新方法。经MATLAB仿真试验表明,所提方法能够有效抑制小波混叠现象,为电力系统的稳定运行和改变电能质量提供了一种有效检测方法。
Due to the large investment of non-linear components such as power electronics,the harmonic pollution of power systems is becoming more and more serious.Taking effective measures to detect and analyze harmonic signals is an important issue that need to be solved first.Wavelet transform has the time-frequency localization,and it has a natural advantage in the processing analysis of unsteady signals and transient signals.It has the ability to monitor transient signals in real time.However,due to the spectral aliasing phenomenon in the wavelet transform,it can't strictly divide the harmonic signal and the detection accuracy is low.There is a large deviation from the theoretical value.This paper proposed a new method with the addition of odd extraction branches between wavelet decomposition and reconstruction filters.Further compensation on the basis of this,Matlab simulation experiments show that this method can effectively suppress wavelet aliasing and provide an effective detection method for the stable operation of power systems and the change of power quality.
Due to the large investment of non-linear components such as power electronics,the harmonic pollution of power systems is becoming more and more serious.Taking effective measures to detect and analyze harmonic signals is an important issue that need to be solved first.Wavelet transform has the time-frequency localization,and it has a natural advantage in the processing analysis of unsteady signals and transient signals.It has the ability to monitor transient signals in real time.However,due to the spectral aliasing phenomenon in the wavelet transform,it can't strictly divide the harmonic signal and the detection accuracy is low.There is a large deviation from the theoretical value.This paper proposed a new method with the addition of odd extraction branches between wavelet decomposition and reconstruction filters.Further compensation on the basis of this,Matlab simulation experiments show that this method can effectively suppress wavelet aliasing and provide an effective detection method for the stable operation of power systems and the change of power quality.
引文
[1] 陈方超,汝晓鹏,申江江.小波分析在电力系统谐波处理中的应用[J].电子设计工程,2015,23(3):100-103.
[2] 罗昭通,陈凯伦,陈琼.基于加窗插值FFT的谐波检测算法[J].信息技术,2018,42(12):65-69.
[3] 潘冬喜,宁存岱.电力系统谐波检测研究现状及发展趋势[J].电子制作,2018(17):92-93,95.
[4] 宋艳丽,宋艳鑫,朱静.基于全相位FFT的电能质量谐波检测新方法研究[J].成都航空职业技术学院学报,2018,34(4):49-51.
[5] 康家玉,曹志威,王旭,等.基于改进的小波变换电力系统谐波分析[J].现代电子技术,2018,41(19):49-53.
[6] 朱翔,解大,高强,等.Db8小波在电力系统谐波分析中的应用[J].电力科学与技术学报,2011,26(2):67-71.
[7] 朱翔,解大,高强,等.基于FFT和db20小波变换的电力系统谐波联合分析策略[J].电力系统保护与控制,2012,40(12):62-65.
[8] 金攀,雷景生.基于快速傅里叶变换和db小波变换的谐波检测[J].上海电力学院学报,2017,33(4):337-340.
[9] 赵惠玲,周芸.基于小波变换的电力系统谐波检测的研究[J].电子设计工程,2012,20(1):77-80.
[10] 房国志,杨超,赵洪.基于FFT和小波包变换的电力系统谐波检测方法[J].电力系统保护与控制,2012,40(5):75-79.
[11] 罗冠姗,卢惠辉,苏成悦,等.一种基于小波包变换的电力谐波检测方法[J].电力建设,2015,36(3):71-76.
[12] 杜天军.基于抗混叠小波理论的电力系统谐波检测与抑制研究[D].成都:电子科技大学,2006.
[13] 赵景波,唐勇伟,张磊.基于改进小波变换的故障电弧检测方法的研究[J].电机与控制学报,2016,20(2):90-97.
[14] 龙军,刘俊杰,王冠南,等.基于小波变换的电力系统谐波检测抗混叠问题研究[J].电气开关,2012,50(5):22-25.
[15] 何磊,王泽忠.间谐波检测中小波混叠抑制的一种新算法[J].河北电力技术,2007(2):9-11.
[16] 杜天军,陈光,谢永乐,等.基于频域内插抗混叠Shannon小波包变换的谐波检测方法[J].电网技术,2005(11):14-19.
[17] 何智龙,苏娟,覃芳.db20和db3小波变换的电力系统谐波联合分析[J].智能电网,2015,3(2):129-132.
[18] 陈长升,黄险峰.基于小波变换抗混叠谐波检测的一种新方法[J].电力系统保护与控制,2008,36(23):23-26.
[2] 罗昭通,陈凯伦,陈琼.基于加窗插值FFT的谐波检测算法[J].信息技术,2018,42(12):65-69.
[3] 潘冬喜,宁存岱.电力系统谐波检测研究现状及发展趋势[J].电子制作,2018(17):92-93,95.
[4] 宋艳丽,宋艳鑫,朱静.基于全相位FFT的电能质量谐波检测新方法研究[J].成都航空职业技术学院学报,2018,34(4):49-51.
[5] 康家玉,曹志威,王旭,等.基于改进的小波变换电力系统谐波分析[J].现代电子技术,2018,41(19):49-53.
[6] 朱翔,解大,高强,等.Db8小波在电力系统谐波分析中的应用[J].电力科学与技术学报,2011,26(2):67-71.
[7] 朱翔,解大,高强,等.基于FFT和db20小波变换的电力系统谐波联合分析策略[J].电力系统保护与控制,2012,40(12):62-65.
[8] 金攀,雷景生.基于快速傅里叶变换和db小波变换的谐波检测[J].上海电力学院学报,2017,33(4):337-340.
[9] 赵惠玲,周芸.基于小波变换的电力系统谐波检测的研究[J].电子设计工程,2012,20(1):77-80.
[10] 房国志,杨超,赵洪.基于FFT和小波包变换的电力系统谐波检测方法[J].电力系统保护与控制,2012,40(5):75-79.
[11] 罗冠姗,卢惠辉,苏成悦,等.一种基于小波包变换的电力谐波检测方法[J].电力建设,2015,36(3):71-76.
[12] 杜天军.基于抗混叠小波理论的电力系统谐波检测与抑制研究[D].成都:电子科技大学,2006.
[13] 赵景波,唐勇伟,张磊.基于改进小波变换的故障电弧检测方法的研究[J].电机与控制学报,2016,20(2):90-97.
[14] 龙军,刘俊杰,王冠南,等.基于小波变换的电力系统谐波检测抗混叠问题研究[J].电气开关,2012,50(5):22-25.
[15] 何磊,王泽忠.间谐波检测中小波混叠抑制的一种新算法[J].河北电力技术,2007(2):9-11.
[16] 杜天军,陈光,谢永乐,等.基于频域内插抗混叠Shannon小波包变换的谐波检测方法[J].电网技术,2005(11):14-19.
[17] 何智龙,苏娟,覃芳.db20和db3小波变换的电力系统谐波联合分析[J].智能电网,2015,3(2):129-132.
[18] 陈长升,黄险峰.基于小波变换抗混叠谐波检测的一种新方法[J].电力系统保护与控制,2008,36(23):23-26.