Title of article
An intelligence-based islanding detection method using DWT and ANN
Author/Authors
HEIDARI, Mehrdad shahid chamran university of ahvaz - Faculty of Engineering - Electric and Electronic Group, اهواز, ايران , SEIFOSSADAT, Ghodratollah shahid chamran university of ahvaz - Faculty of Engineering - Electric and Electronic Group, اهواز, ايران , RAZAZ, Morteza shahid chamran university of ahvaz - Faculty of Engineering - Electric and Electronic Group, اهواز, ايران
From page
381
To page
394
Abstract
In this paper, a new method based on artificial neural network (ANN) and discrete wavelet transform (DWT) is proposed for electrical islanding detection. Transient signals produced during an event are used in the proposed method. ANN is trained to classify the transient events as islanding and nonislanding. The required features for classifying are extracted through DWT of voltage and current transient signals. The proposed method is then simulated on a medium voltage distribution system of CIGRE with 2 kinds of DGs. Results show that this method can detect electrical islands more rapidly and accurately.
Keywords
Discrete wavelet transform , electrical islanding detection , neural network , distributed generation , distribution system and transient signals
Journal title
Turkish Journal of Electrical Engineering and Computer Sciences
Journal title
Turkish Journal of Electrical Engineering and Computer Sciences
Record number
2532864
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