Combined Power Quality Disturbances Recognition Using Wavelet Packet Entropies and S-Transform
نویسندگان
چکیده
منابع مشابه
Combined Power Quality Disturbances Recognition Using Wavelet Packet Entropies and S-Transform
Aiming at the combined power quality +disturbance recognition, an automated recognition method based on wavelet packet entropy (WPE) and modified incomplete S-transform (MIST) is proposed in this paper. By combining wavelet packet Tsallis singular entropy, energy entropy and MIST, a 13-dimension vector of different power quality (PQ) disturbances including single disturbances and combined distu...
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This paper presents features that characterize power quality disturbances from recorded voltage and current signals using wavelet transformation and S-transform analysis. The disturbance of interest includes sag, swell, transient and harmonics. A 25kv distribution network has been simulated using matlab software. The feature extraction has been done using wavelet transformation and S-transform,...
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The emergence of power quality as a topical issue in power systems in the 1990s largely coincides with the huge advancements achieved in the computing technology and information theory. This unsurprisingly has spurred the development of more sophisticated instruments for measuring power quality disturbances and the use of new methods in processing and analyzing the measurements. Fourier theory ...
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Extensive use of power electronic devices and non-linear loads in electrical power system cause problem of power quality (PQ). Renewable energy sources are also integrated to the grid through power electronics based equipment. So the power quality issues are drawing attention in recent years. PQ disturbance need to be detected accurately It is also essential to find out the cause of such an eve...
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The power quality (PQ) signals are traditionally analyzed in the time-domain by skilled engineers. However, PQ disturbances may not always be obvious in the original time-domain signal. Fourier analysis transforms signals into frequency domain, but has the disadvantage that time characteristics will become unobvious. Wavelet analysis, which provides both time and frequency information, can over...
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ژورنال
عنوان ژورنال: Entropy
سال: 2015
ISSN: 1099-4300
DOI: 10.3390/e17085811