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A New Method for Power Quality Events Detection and Classification using Discrete Wavelet Transform and Correlation Coefficients | ||
| International Journal of Industrial Electronics Control and Optimization | ||
| مقاله 5، دوره 4، شماره 1، بهار 2021، صفحه 47-57 اصل مقاله (905.3 K) | ||
| نوع مقاله: Research Articles | ||
| شناسه دیجیتال (DOI): 10.22111/ieco.2020.33660.1257 | ||
| نویسنده | ||
Navid Ghaffarzadeh  
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| Imam Khomeini International University | ||
| چکیده | ||
| In this paper a novel and simple approach for detection and classification of wide variety range of power quality(PQ) events based on discrete wavelet transform (DWT) and correlation coefficient is presented. For this purpose, two new indices is proposed and by comparing the values of the correlation coefficient between the value of these indices for pre-stored PQ events and for a recorded indistinct signal, type of PQ events will be detected. This algorithm has advantages of DWT and correlation coefficient which, it does not have disadvantage of neural network or neural network-fuzzy based algorithms such as; training, and high dimension input matrices nor it does not have disadvantage of Fourier transform based approach such as unsuitability for non-stationary signal as it does not track signal dynamics properly due to limitation of fixed window width. The effectiveness of this method has been tested using numerous PQ disturbance and simulation results confirm the competency and the ability of the proposed method in PQ disturbances detection and automatic diagnosis. Compared with the other methods, the simulation under different noises conditions, verify the effectiveness of noise immunity, and relatively better accuracy of the proposed method. | ||
| کلیدواژه‌ها | ||
| Classification؛ Correlation Coefficient؛ Discrete Wavelet Transform؛ Power Quality | ||
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آمار تعداد مشاهده مقاله: 63 تعداد دریافت فایل اصل مقاله: 94 |
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