Expert system for classification of measured three-phase unbalanced voltage dips

A. Deihimi, Abolfazl Momeni
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Abstract

This paper presents a new ANN-based expert system to classify voltage sags using measured three-phase voltages. The results of the proposed system is compared to those of previously proposed works such as symmetrical component (SC), six-phase (6P), three-phase three-angle (TPTA) algorithms developed to identify voltage sags of types C and D. Numerical examples and recorded voltages are used to validate the expert system.
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测量三相不平衡电压降的分类专家系统
本文提出了一种新的基于人工神经网络的专家系统,利用测量的三相电压对电压跌落进行分类。将该系统的结果与之前提出的诸如对称分量(SC)、六相(6P)、三相三角(TPTA)算法等用于识别C和d型电压跌落的研究结果进行了比较。
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