电能质量扰动信号时频原子分解的进化匹配追踪算法

时频原子分解对电能质量扰动信号具有良好的分析效果,但其常用的匹配追踪(MP)算法,存在计算量大、参数空间离散化影响原子匹配性能等不足。基于差分进化,研究了电能质量扰动信号原子分解的进化匹配追踪(EMP)算法,给出了算法流程。针对几种电能质量扰动信号,通过Gabor和衰减正弦量原子分解的30次独立仿真实验,分析了信号长度、噪声等对性能的影响。结果表明,EMP算法与MP相比大大减少了计算耗时且不受信号长度的影响,进一步提高了原子的全局匹配能力,具有很好的抗噪声能力。最后,给出了下一步工作的展望。...

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Published in电力系统保护与控制 Vol. 43; no. 16; pp. 79 - 86
Main Author 杨烁 曹思扬 戴朝华 朱云芳 陈维荣
Format Journal Article
LanguageChinese
Published 西南交通大学电气工程学院,四川 成都,610031%西南交通大学电气工程学院,四川 成都 610031 2015
国家轨道交通电气化与自动化工程 技术研究中心,四川 成都 610031
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ISSN1674-3415

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Abstract 时频原子分解对电能质量扰动信号具有良好的分析效果,但其常用的匹配追踪(MP)算法,存在计算量大、参数空间离散化影响原子匹配性能等不足。基于差分进化,研究了电能质量扰动信号原子分解的进化匹配追踪(EMP)算法,给出了算法流程。针对几种电能质量扰动信号,通过Gabor和衰减正弦量原子分解的30次独立仿真实验,分析了信号长度、噪声等对性能的影响。结果表明,EMP算法与MP相比大大减少了计算耗时且不受信号长度的影响,进一步提高了原子的全局匹配能力,具有很好的抗噪声能力。最后,给出了下一步工作的展望。
AbstractList TM93; 时频原子分解对电能质量扰动信号具有良好的分析效果,但其常用的匹配追踪(MP)算法,存在计算量大、参数空间离散化影响原子匹配性能等不足。基于差分进化,研究了电能质量扰动信号原子分解的进化匹配追踪(EMP)算法,给出了算法流程。针对几种电能质量扰动信号,通过Gabor和衰减正弦量原子分解的30次独立仿真实验,分析了信号长度、噪声等对性能的影响。结果表明,EMP算法与MP相比大大减少了计算耗时且不受信号长度的影响,进一步提高了原子的全局匹配能力,具有很好的抗噪声能力。最后,给出了下一步工作的展望。
时频原子分解对电能质量扰动信号具有良好的分析效果,但其常用的匹配追踪(MP)算法,存在计算量大、参数空间离散化影响原子匹配性能等不足。基于差分进化,研究了电能质量扰动信号原子分解的进化匹配追踪(EMP)算法,给出了算法流程。针对几种电能质量扰动信号,通过Gabor和衰减正弦量原子分解的30次独立仿真实验,分析了信号长度、噪声等对性能的影响。结果表明,EMP算法与MP相比大大减少了计算耗时且不受信号长度的影响,进一步提高了原子的全局匹配能力,具有很好的抗噪声能力。最后,给出了下一步工作的展望。
Abstract_FL Time-frequency atom decomposition has good analysis effects on power quality disturbance signals. However, commonly-used matching pursuit (MP) algorithm has several defects, such as the heavy burdern of computation, the impacts of spacial discretization on the performance, etc. An in-depth study is conducted on the evolutionary matching pursuit (EMP) of power quality disturbance signal atom decomposition based on differential evolution (DE) algorithm. The algorithm steps are presented in detail. For several typical power quality disturbance signals, the independent simulation experiments of 30 times are implemented with both Gabor and damped sinusoid atoms. An analysis is made on the performance impacts of the signal length and the noise. The simulation results show that, compared with the MP algorithm, the EMP algorithm greatly reduces the computation time without the influence from the signal length. Moreover, the global matching performance of the optimal atoms is further improved without the influence from the noise. Finally, the future research prospects are introduced.
Author 杨烁 曹思扬 戴朝华 朱云芳 陈维荣
AuthorAffiliation 西南交通大学电气工程学院,四川成都610031 国家轨道交通电气化与自动化工程技术研究中心,四川成都610031
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Author_FL YANG Shuo
ZHU Yunfang
CAO Siyang
DAI Chaohua
CHEN Weirong
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DocumentTitleAlternate Evolutionary matching pursuit based time-frequency atom decomposition for power quality disturbance signals
DocumentTitle_FL Evolutionary matching pursuit basedtime-frequency atom decomposition for power quality disturbance signals
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Issue 16
Keywords differential evolution
电能质量扰动信号
匹配追踪
时频原子分解
power quality disturbance signals
差分进化
matching pursuit
time-frequency atoms decomposition
Language Chinese
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Notes time-frequency atoms decomposition; matching pursuit; differential evolution; power quality disturbance signals
41-1401/TM
Time-frequency atom decomposition has good analysis effects on power quality disturbance signals. However, commonly-used matching pursuit (MP) algorithm has several defects, such as the heavy burdern of computation, the impacts of spatial discretization on the performance, etc. An in-depth study is conducted on the evolutionary matching pursuit (EMP) of power quality disturbance signal atom decomposition based on differential evolution (DE) algorithm. The algorithm steps are presented in detail. For several typical power quality disturbance signals, the independent simulation experiments of 30 times are implemented with both Gabor and damped sinusoid atoms. An analysis is made on the performance impacts of the signal length and the noise. The simulation results show that, compared with the MP algorithm, the EMP algorithm greatly reduces the computation time without the influence from the si
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PublicationTitle 电力系统保护与控制
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PublicationTitle_FL Power System Protection and Control
PublicationYear 2015
Publisher 西南交通大学电气工程学院,四川 成都,610031%西南交通大学电气工程学院,四川 成都 610031
国家轨道交通电气化与自动化工程 技术研究中心,四川 成都 610031
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Snippet 时频原子分解对电能质量扰动信号具有良好的分析效果,但其常用的匹配追踪(MP)算法,存在计算量大、参数空间离散化影响原子匹配性能等不足。基于差分进化,研究了电能质量扰动...
TM93; 时频原子分解对电能质量扰动信号具有良好的分析效果,但其常用的匹配追踪(MP)算法,存在计算量大、参数空间离散化影响原子匹配性能等不足。基于差分进化,研究了电能...
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SubjectTerms 匹配追踪
差分进化
时频原子分解
电能质量扰动信号
Title 电能质量扰动信号时频原子分解的进化匹配追踪算法
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