基于空间谱和支持向量回归机的间谐波分析

Interharmonic Analysis Based on Spatial Spectrum and Support Vector Regression Machine

针对电力系统中存在的间谐波问题,提出一种结合参数法和非参数法特点的间谐波频谱分析算法。首先,为了应用空间谱分析需要将电网信号变换为空域信号;然后应用盖氏圆盘估计协助求根多重信号分析算法准确估计信号源数及其频率;最后由稳健支持向量回归机计算幅值和相角。获得准确频率信息后,支持向量回归机计算的频率范围变成已知的有限频率点,计算量降到最低,并且此算法无需同步采样和过长的采样数据。通过仿真和实例检测,验证了该方法的有效性。

An interharmonic spectrum estimating method combining the features of parametric method and nonparametric method is presented to detect the interharmonic in power system. The signals from power network are transformed to spatial signal based on the spatial signal analysis, and the number of interharmonic sources and their frequencies are accurately estimated with the help of Gerschgorin＇ s disks combining root multiple signal classification （Root-MUSIC）. The rest amplitudes and phase angles are then given by a robust support vector regression machine （SVRM）. After frequency information having been obtained, the frequency range determined by SVRM is reduced to known frequency dots and calculation is cut to minimum to avoid synchronous sampling and over-long sampling data. The digital simulation and actual inspection prove the method is effective and applicable.