  This paper presents an effective approach to identify power quality events
based on IEEE Std 1159-2009 caused by intermittent power sources like those of
renewable energy. An efficient characterization of these disturbances is
granted by the use of two useful wavelet based indices. For this purpose, a
wavelet-based Global Disturbance Ratio index (GDR), defined through its
instantaneous precursor (Instantaneous Transient Disturbance index ITD(t)), is
used in power distribution networks (PDN) under steady-state and/or transient
conditions. An intelligent disturbance classification is done using a Support
Vector Machine (SVM) with a minimum input vector based on the GDR index. The
effectiveness of the proposed technique is validated using a real-time
experimental system with single events and multi-events signals.
