Power quality event detection using joint 2-D-wavelet subspaces
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, vol.53, no.4, pp.1040-1046, 2004 (SCI-Expanded, Scopus)
- Publication Type: Article / Article
- Volume: 53 Issue: 4
- Publication Date: 2004
- Doi Number: 10.1109/tim.2004.831137
- Journal Name: IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
- Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
- Page Numbers: pp.1040-1046
- Keywords: event detection, power quality, two-dimensional (2-D) wavelet decomposition
- Anadolu University Affiliated: No
Abstract
In this work, we present a novel two-dimensional (2-D) representation of power system waveforms for the automatic analysis and detection of transient events. The representation is composed of a matrix whose rows are formed by time segments of digital waveforms. By the appropriate selection of the time segment length, the 2-D data exhibits wave-like image shapes. The general shape is immediately disturbed whenever a power quality transient event occurs. We propose the use of two dimensional discrete wavelet transforms (2-D-DWT) to detect these disturbances. It has been observed that, after omitting the approximation space signals of the wavelet transform and denoising the detail space signals, the inverse 2-D-DWT provides good detection and localization results, even for cases where conventional methods fail. Examples are presented.