Application of Artificial Neural Networks for Discrimination of Nonlinear Loads

被引：0
|
作者：
Mazzini, Ana P. [1 ]
Bernardes, Wellington M. S. [1 ]
de Vasconcelos, Fillipe M. [1 ]
Saraiva, Filipe de O. [1 ]
Asada, Eduardo N. [1 ]
机构：
[1] Univ Sao Paulo, Sao Carlos Sch Engn, Dept Elect & Comp Engn, BR-13566590 Sao Paulo, Brazil
来源：
2013 IEEE PES CONFERENCE ON INNOVATIVE SMART GRID TECHNOLOGIES (ISGT LATIN AMERICA) | 2013年
关键词：
Artificial neural networks; metering system; nonlinear loads; power quality; smart meters;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Smart Grids requires a complex infrastructure. It is associated with the advanced metering system which is responsible for data acquisition and processing. Taking into account this new paradigm, this paper proposes the application of Artificial Neural Networks for classification of nonlinear loads that are connected to the electrical system by using signals processed for each sample. For this purpose, multilayer perceptron and radial basis functions neural network have been used for training and validation. The results have shown good results such as the performance above 90% of accuracy in the correct classification.
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页数：7
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