PROJECT TITLE :

Disturbance Ratio for Optimal Multi-Event Classification in Power Distribution Networks

ABSTRACT:

This paper presents an efficient approach to spot power quality (PQ) events based mostly on IEEE Std 1159-2009 caused by intermittent power sources like those of renewable energy. An efficient characterization of those disturbances is granted by the employment of two helpful wavelet-based mostly indices. For this purpose, a wavelet-based international disturbance ratio (GDR) index, defined through its instantaneous precursor [instantaneous transient disturbance ITD(t) index], is used in power distribution networks (PDNs) under steady-state and/or transient conditions. An intelligent disturbance classification is done employing a support vector machine (SVM) with a minimum input vector based mostly on the GDR index. The effectiveness of the proposed technique is validated employing a real-time experimental system with single event and multi-event signals.


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