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

被引:77
作者
Dolores Borras, Maria [1 ]
Carlos Bravo, Juan [1 ]
Carlos Montano, Juan [1 ]
机构
[1] Univ Seville, Dept Elect Engn, Seville 41011, Spain
关键词
IEEE Std 1159-2009; power quality (PQ); single-event and multi-event PQ; support vector machine (SVM); wavelet transform (WT); QUALITY INDEXES; WAVELET TRANSFORM; SINGLE; DIAGNOSIS; SYSTEMS; FFT;
D O I
10.1109/TIE.2016.2521615
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper presents an effective approach to identify power quality (PQ) 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 (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 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 event and multi-event signals.
引用
收藏
页码:3117 / 3124
页数:8
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