Detection of Disturbances in Voltage Signals for Power Quality Analysis Using HOS. (30th April 2007)

• Record Type: Journal Article
• Authors: Ribeiro Ribeiro, Moisés V. Moisés V.; Marques Marques, Cristiano Augusto G. Cristiano Augusto G.; Duque Duque, Carlos A. Carlos A.; Cerqueira Cerqueira, Augusto S. Augusto S.; Pereira Pereira, José Luiz R. José Luiz R.
• Other Names: Iravani Iravani M. Reza M. Reza Academic Editor.
• Is Part Of: EURASIP journal on advances in signal processing. Volume 2007(2007)
• Publication Date: 2007-04-30
• Subjects: Signal processing -- Periodicals; Traitement du signal; Signal processing; Periodicals; 621.3822
• DOI: 10.1155/2007/59786
• Languages: English
• ISSNs: 1687-6172

Abstract

Abstract : This paper outlines a higher-order statistics (HOS)-based technique for detecting abnormal conditions in voltage signals. The main advantage introduced by the proposed technique refers to its capability to detect voltage disturbances and their start and end points in a frame whose length corresponds to, at least, N = 16 samples or1 / 16 of the fundamental component if a sampling rate equal tof s = 256 × 60 Hz is considered. This feature allows the detection of disturbances in submultiples or multiples of one-cycle fundamental component if an appropriate sampling rate is considered. From the computational results, one can note that almost all abnormal and normal conditions are correctly detected ifN = s256, 128, 64, 32, and 16 and the SNR is higher than 25 dB. In addition, the proposed technique is compared to a root mean square (rms)-based technique, which was recently developed to detect the presence of some voltage events as well as their sources in a frame whose length ranges from1 / 8 up to one-cycle fundamental component. The numerical results reveal that the proposed technique shows an improved performance when applied not only to synthetic data, but also to real one.