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Cluster analisis of long-term power quality data

机译:长期电能质量数据的聚类分析

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摘要

Current methods for measurement and analysis of power quality is based on the selection of a representative period of time, usually a week, corresponding to normal operating conditions. However such conditions as variability of load and generation or changing the configuration of power system network may have a significant impact on the quality parameters of power system. In order to distinguish and perform comparative assessment of different states of the power system condition in terms of power quality parameters it is possible to use cluster analysis. This paper presents the results of the use of cluster analysis of long-term power data quality electricity recorded synchronously in selected fields of distribution substation 110/20/10kV.
机译:当前用于测量和分析电能质量的方法是基于对代表正常时间(通常为一周)的典型时间段的选择。然而,诸如负载和发电的可变性或改变电力系统网络的配置之类的条件可能对电力系统的质量参数具有重大影响。为了根据电能质量参数区分和执行对电力系统状况不同状态的比较评估,可以使用聚类分析。本文介绍了对110/20 / 10kV配电变电站选定区域中同步记录的长期电力数据质量电力进行聚类分析的结果。

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