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 realtime data analysis shows that the present algorithm has better application prospects.