PQ评估的图形化方法:使用传统指数和高阶统计量的EDA工具

Q4 Energy
P. Remigio-Carmona, O. Florencias-Oliveros, J. González-de-la-Rosa
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引用次数: 0

摘要

提出了一种利用时域传统指标和高阶统计量对电力系统电能质量进行定性评价的新方法。该方法采用工程数据分析(EDA)工具对来自实际数据集的PQ数据进行分析和解释。在分析外部数据集时,每个索引的箱线图被认为是一个重要的工具,值得包括和研究。但本研究打算更进一步,为此提出了一种基于雷达图的供应质量空间可视化新工具。它的每个顶点构成一个指标,将三阶到六阶统计量与传统指标信噪比、SINAD和波峰因子进行综合。将所提出的方法应用于实际可用信号的分析,并对箱线图和雷达图的结果进行了比较和评论。最后,建立改变的指标与信号中发现的事件类型之间的关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Graphical method for PQ assessment: EDA tools using traditional indices and Higher-order Statistics
This paper presents a new qualitative method for assessing the power quality (PQ) of electrical systems using both time domain traditional indices and higher-order statistics. The method employs engineering data analysis (EDA) tools to analyse and interpret the PQ data coming from real datasets. Boxplot of each index are considered an essential tool that deserves to be included and studied when an external dataset it is analysed. But this research intends to go a step further, and for this reason a new tool for the spatial visualization of supply quality based on a radar chart is proposed. Each of its vertices constitutes an index, integrating from 3rd to 6 th order statistics with the traditional indicators SNR, SINAD and crest factor. The proposed methodology is applied to the analysis of real available signals and both, boxplot and radarchart, results are compared and commented. Finally, relationships are established between the altered indicators and the type(s) of event found in the signal.
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来源期刊
Renewable Energy and Power Quality Journal
Renewable Energy and Power Quality Journal Energy-Energy Engineering and Power Technology
CiteScore
0.70
自引率
0.00%
发文量
147
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