Title :
A New Method for Interharmonic Identification
Author :
Yu Ji ; Sun, Yunlian
Author_Institution :
Sch. of Electr. Eng., Wuhan Univ., Wuhan
Abstract :
A new method based on improved multiple signal classification (MUSIC) algorithm and independent component analysis (ICA) method is applied in this paper. In contrast with the original MUSIC algorithm, the proposed version can give good performance at lower signal/noise ratio (SNR). After estimating the frequencies accurately, the amplitudes and phases of interharmonics are calculated with ICA method. Compared with some other algorithms, the improved MUSIC algorithm obtained higher resolution in frequency domain and ICA method separated fixed signal into several independent signals. The simulation indicates the validity of this method.
Keywords :
independent component analysis; signal classification; MUSIC algorithm; improved multiple signal classification; independent component analysis; interharmonic identification; signal/noise ratio; Covariance matrix; Frequency conversion; Frequency domain analysis; Frequency estimation; Independent component analysis; Multiple signal classification; Power harmonic filters; Power system harmonics; Sensor arrays; Signal to noise ratio;
Conference_Titel :
Power and Energy Engineering Conference, 2009. APPEEC 2009. Asia-Pacific
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-2486-3
Electronic_ISBN :
978-1-4244-2487-0
DOI :
10.1109/APPEEC.2009.4918073