基于联合字典的暂态脉冲谐波信号检测方法

从电力系统谐波信号中快速有效地提取电能质量暂态脉冲信号,对提高现代电力系统的工作效率有重要意义。传统的快速傅里叶变换(FFT)方法速度较快,但精度不高,且无法准确检测出谐波信号中的暂态脉冲成分。为准确提取出暂态脉冲成分,同时检测出谐波信号成分,提出了一种基于联合字典的信号检测方法。该方法利用形态学成分分析(MCA)将原始信号分离与检测问题转换为约束优化问题。通过构造联合字典并利用交替方向乘子法(ADMM)求解约束优化问题,将信号中各成分单独表示出来。仿真算例表明,该方法能快速有效地分离暂态脉冲信号和谐波信号,准确检测出暂态脉冲信号的扰动信息以及谐波信号的特征信息。

Detection of transient impulses in harmonic signal based on union dictionary

Effective extraction of transient impulses from harmonic signals is very important to improve the efficiency of power system analysis. Aiming at the defects of traditional fast Fourier transform (FFT) in detecting the transient impulses buried in the harmonic signals, a novel signal detection method based on union dictionary is proposed. The original separation and detection problem can be converted into a constrained optimization problem by applying the morphological component analysis (MCA). Through combining the union dictionary and alternating direction method of multipliers (ADMM), the constrained optimization problem can be solved. Simulation results show that the proposed method can not only effectively separate the transient impulses and the harmonic signals, but also can detect the features of them precisely.