基于互高阶谱MUSIC法的间谐波检测

在电力系统中,准确有效地确定信号中的间谐波分量,对于改善电能质量有重要意义。研究了一种间谐波幅值和频率的估计算法--基于互高阶累积量的多信号分类法MUSIC(Multiple Signal Classification)方法,该方法可以有效地抑制非相关噪声和高斯噪声,在混合噪声和低信噪比的条件下,仍具有很高的谱分辨率和谱估计性能。为了证明其有效性,采用一具体的电力系统谐波模型进行仿真。仿真结果表明:在色噪声背景下,信噪比为-20dB时,且不需要对分析数据进行整周期采样,仍可以有效地估计出间谐波的频率和幅值,谱估计性能稳定,具有一定的工程应用前景。

Inter-harmonics parameter estimation on crosshigh-spectrum based on MUSIC method

Along with the development of electric power system, the harmonics of integer times to fundamental component the inter-harmonics and sub-harmonics exist and are in special status. In this paper, cross high order accumulation is able to depress non-correlative noise and correlative gauss noises. MUSIC method based on cross-high-order cumulate is provided. Simulation results show that the method is effective and accurate to estimation sinusoid signal frequencies from hybrid colored noises and good performance. For low signal to noise ratio level is acceptable, this method is more applicable to practice.