Simple algorithm for identification of unbalanced sag type

S. Murkute, M. Chaudhari
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引用次数: 1

Abstract

This paper proposes a simple algorithm to detect and identify the unbalanced three phase voltage sag. The technique is based Features extracted from space vector magnitude. For normal system operation the space vector magnitude is constant dc, and during unbalanced sag it oscillates. The features of space vector magnitude are identified to investigate the sag type. S-Transform is used as a tool for feature extraction from SVM. The sag type is identified based on Symmetrical component classification is used The sag types are classified in to six types as given by symmetrical component classification. The technique is tested using simulated sag data. The results show that space vector magnitude S-transform technique is able to identify all types of three phase sags correctly. It avoids the need to calculate sequence components. The main advantage of using the technique is its simplicity and reliability.
不平衡凹陷类型识别的简单算法
本文提出了一种简单的检测和识别不平衡三相电压暂降的算法。该技术基于从空间矢量大小中提取的特征。对于正常的系统运行,空间矢量的大小是恒定的直流电,在不平衡凹陷时,它会振荡。识别空间矢量大小特征,研究凹陷类型。使用S-Transform作为SVM特征提取工具。采用对称分量分类法对凹陷类型进行了识别,根据对称分量分类法将凹陷类型划分为6种类型。利用模拟凹陷数据对该技术进行了测试。结果表明,空间矢量幅度s变换技术能够正确识别所有类型的三相凹陷。它避免了计算序列分量的需要。使用该技术的主要优点是简单可靠。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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