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The issue of power quality has attracted considerable attention from utilities and customers due to fast development of power system industry. It is vital to ensure power quality by means of advanced technology which can monitor, locate and classify disturbances with measurement approaches and instruments. A novel approach for the power quality disturbances detection and investigation using wavelet...
This paper introduces the design and implementation of a novel phase selection technique using both wavelet transform algorithms and neural network technique to improve the accuracy and efficiency compared with traditional phase selection algorithm under a wide variety of different system and fault conditions. The technique is based on using sharp transitions of current signals generated on the faulted...
In this paper a novel approach for transient stability based dynamic security classification and screening of power systems is presented. A Kohenen neural network is implemented as neural network security classifier. The precontingency steady state operating condition of power system is used as the input pattern of the neural network classifier for proper classification of dynamic characteristic....
The detection of small current grounding fault line based on Wavelet transform technique and the neural network technique was presented. According of the distribution of energy of each line in the system of grounding, the extraction of feature vectors using wavelet multi-resolution analysis and the decision of fault line using neural networks are described. This strategy overcome the defects of conventional...
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