电力系统保护与控制Issue(16)：79-86,8.
电能质量扰动信号时频原子分解的进化匹配追踪算法
Evolutionary matching pursuit basedtime-frequency atom decomposition for power quality disturbance signals
摘要
Abstract
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.关键词
时频原子分解/匹配追踪/差分进化/电能质量扰动信号Key words
time-frequency atoms decomposition/matching pursuit/differential evolution/power quality disturbance signals分类
信息技术与安全科学引用本文复制引用
杨烁,曹思扬,戴朝华,朱云芳,陈维荣..电能质量扰动信号时频原子分解的进化匹配追踪算法[J].电力系统保护与控制,2015,(16):79-86,8.基金项目
国家自然科学基金(51307144)This work is supported by National Natural Science Foundation of China (No.51307144) （51307144）
