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    程志友, 程晨, 刘阳, 左靖坤. 基于TAM谐波检测方法[J]. 华东理工大学学报(自然科学版), 2011, (5): 632-635.
    引用本文: 程志友, 程晨, 刘阳, 左靖坤. 基于TAM谐波检测方法[J]. 华东理工大学学报(自然科学版), 2011, (5): 632-635.
    CHENG Zhi-you, CHENG Chen, LIU Yang, ZUO Jing-kun. Harmonic Detection Method Based on TAM[J]. Journal of East China University of Science and Technology, 2011, (5): 632-635.
    Citation: CHENG Zhi-you, CHENG Chen, LIU Yang, ZUO Jing-kun. Harmonic Detection Method Based on TAM[J]. Journal of East China University of Science and Technology, 2011, (5): 632-635.

    基于TAM谐波检测方法

    Harmonic Detection Method Based on TAM

    • 摘要: 针对传统谐波检测方法及其存在的问题,将TAM方法应用于谐波检测。该方法以信号空间模型为基础,结合子空间旋转不变性和最小二乘法实现了电力系统的谐波检测。首先求解采样信号数据矩阵的协方差矩阵,然后对协方差矩阵进行奇异值分解,利用最小二乘法的原理减少噪声影响,得到较为精确的频率和幅值估计参数。仿真实验结果表明:该算法精确有效,实现过程简单,运算量小。实际数据分析表明,该算法可行,具有一定的应用前景。

       

      Abstract: Aiming at the shortcoming of traditional harmonic detection method, this paper applied TAM method to the harmonic detection. Basing on the signal space model, the harmonics in power system was detected by combining the subspace rotational invariance and least squares method. Firstly, the covariance matrix of the sampled signal data matrix was solved. And then, the covariance matrix was decomposed through singular value. Meanwhile, the noise effect was lessened by means of the least squares method such that the accurate frequency and amplitude parameters were derived. The simulation results show that the proposed algorithm is accurate and effective. Moreover, the realtime data analysis shows that the present algorithm has better application prospects.

       

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