摘要
电力系统谐波对电网的危害显得日益严重。为提高对谐波特征参数精确分析,提出了一种自检自适应最优时频分布谐波分析方法。首先应用核参数自适应选取方法(同时对实用化核参数选取进行了分析),实现信号自项和交叉项在模糊域内有效分离,确保信号分量自项有最优的时频分布;其次应用信号分量频谱信息自动搜索功能,提取出最能代表各信号分量特征的单时频谱,实现信号分量在时频面上精确刻画,有效提高信号时频信息的分辨率和可读性,实现了谐波信号参数的精确提取。仿真和实例分析均表明了该方法的有效性。
In order to obtain reasonable and precise results in analyzing harmonics,a novel method based on self-check adaptive optimal time-frequency distribution is introduced to analyze harmonics. Firstly, the adaptive kernel parameter selection method is applied (the practical kernel parameter selection is analyzed at the same time)to realize separation of auto-components and cross-components in the ambiguity domain and ensure the optimal time-frequency distribution of auto-components. Secondly,the auto-search function is applied to extract single time-frequency spectrum of each signal compo-nent,which represents characterization of each signal compo-nent,and effectively improve the resolution and readability of the signal time-frequency information, and realize accurate extraction of the harmonic parameters. The simulation and example analysis suggest that the method proposed in this paper is effective.
出处
《电网与清洁能源》
2014年第8期31-36,共6页
Power System and Clean Energy
关键词
谐波
自适应
最优时频分布
精确提取
harmonic
adaptive
optimal time frequency distribution
accurate extraction
