The modern industrial facility depends on sensitive electronic equipment that can be shut down suddenly by severe power system disturbances. A large number of these disturbances on the power system are a result of line faults which can cause momentary voltage sags. This results in equipment malfunctioning and high cleanup cost. This papers describes some of the emerging opportunities for new se...

This paper presents an effective method for detection and classification of Power Quality Events (PQE), based on Fast Fourier Transformation (FFT) event identification Artificial Neural Network (ANN) technique classifying these events. Firstly, synthetic data such as pure sine a reference, voltage sag, swell, flicker, transient, with harmonics are created in MATLAB TS EN 50160 standard. Databas...

This paper demonstrates classification of PQ events utilizing wavelet transform (WT) energy features by artificial neural network (ANN) and SVM classifiers. The proposed scheme utilizes wavelet based feature extraction to be used for the artificial neural networks in the classification. Six different PQ events are considered in this study. Three types of neural network classifiers such as feed ...

In this work, we demonstrate examples about uses of practical image processing techniques over a new interpretation of power quality event data. Power quality event data are 1D data obtained from a real life system with three-phase RL loads, induction motors and varying mechanical loads. First, the new 2D representation is presented. Next, 2D wavelet transform based analysis and compression met...

In this paper, the main Power Quality (PQ) problems are presented with their associated causes and consequences. The economic impacts associated with PQ are characterized. Finally, some solutions to mitigate the PQ problems are presented.