سال انتشار: ۱۳۸۹

محل انتشار: بیست و پنجمین کنفرانس بین المللی برق

تعداد صفحات: ۱۰

نویسنده(ها):

S Hasheminejad – Department of Electrical Engineering, Shahid Bahonar University of Kerman, Kerman, Iran
s esmaeili – Department of Electrical Engineering, Shahid Bahonar University of Kerman, Kerman, Iran
A.A .gharaveisi – Department of Electrical Engineering, Shahid Bahonar University of Kerman, Kerman, Iran

چکیده:

in this paper s-transform is introduced as an effective method for power quality disturbance recognition. S-transform is a time-frequency analyzing technique that bridges the gap between the short-time Fourier transform and wavelet transform. The features obtained from ST are distinct, understandable and immune to noise. In proposed method by use of s-transform and a decision making algorithm, thirteen kinds of single disturbances like sag, swell, interrupt, harmonic, spike, notch, noise, oscillatory transient, flicker, sub-harmonic, DC, interharmonic, unbalancy, and two complex disturbances are well recognized. The waves extracted from s-transform let us to investigate PQ disturbances in three phases simultaneously. Therefore disturbances like unbalancy and different sag types can be well recognized. After extracting three features from disturbance signals by means of Stransform, ten distinct indices for each signal will be extracted. By means of these indices and a rule-based decision tree various types of power quality disturbances can be classified. For simulation purpose disturbances with random parameters has been produced and for better similarity to real signals they are mixed with noises with different SNR values. It shows that this method can be used for real applications.