使用四阶谱检测电能质量事件

J. J. González de la Rosa, J. Sierra-Fernandez, A. Aguera-Perez, J. Palomares-Salas, A. Moreno-Muñoz
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引用次数: 1

摘要

本文介绍了四阶频域统计估计量谱峰度(SK)在电能质量分析中的应用。这项研究是在一个研究国家项目的框架内组织的,并指出将这些技术应用到一个自动平台上,以在发电厂和电力逆变器中执行PQ分析。频率域的高阶统计量能够区分3种类型的电异常(凹陷、膨胀和瞬态),准确率为83%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Power quality events detection using fourth-order spectra
This paper introduces the use of a fourth-order frequency-domain statistical estimator, the spectral kurtosis (SK), in the field of power-quality analysis. The research has been organized in the frame of a research national project and points towards the implementation of these techniques into an automatic platform to perform PQ analysis in power plants and power inverters. Higher-order statistics in the frequency domain manage to distinguish 3 types of electrical anomalies (sags, swells and transients), with an accuracy of 83%.
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