智能电网电能质量数据的后验同步

Ekaterina Nyrobtseva, L. Kukačka, J. Kraus
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引用次数: 0

摘要

本文主要研究智能电表数据的后处理同步问题。在实时在线同步失败或不可用的情况下,需要进行后验同步。本文提出了一种同步多仪表电能质量数据序列的简便方法。该方法分析了电压数据的相似性,并估计了仪表之间的滞后。为了获得代表智能电表位置发生的最相关现象的单个数据序列,使用奇异值分解。它有助于将智能电表数据的维度降低到1。为了使两个或多个计量装置的时间同步,计算数据序列之间的相关性。从零到最大绝对峰之间的距离作为滞后。对于含有瞬态和衰减的信号,可以通过使信号的一阶差分相关联来提高精度。该算法的输出是信号的时间滞后值。该算法的准确性受到被检测数据聚集程度的限制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A-Posteriori Synchronization of Power Quality Data in Smart Grids
This paper is concerned with synchronizing smart meter data in post-processing. A-posteriori synchronization is necessary in cases where real time online synchronization failed or was unavailable. In the paper, a simple method to synchronize power quality data series from multiple meters is proposed. The method analyses similarities in voltage data and estimates the lags between the meters. In order to obtain a single data series representing the most relevant phenomena that happen at the location of the smart meter, Singular Value Decomposition is used. It helps to decrease the dimensionality of the smart meter data to one. To synchronize the time of two or more metering devices the correlation between data series were calculated. Distance between zero and the maximum absolute peak of the cross-correlation is taken as a lag. For signals containing transients and dips, accuracy may be increased by correlating the first order difference of the signals. The output of the proposed algorithm is the value of signals' time lags. The accuracy of the algorithm is limited by the aggregation level of data under examination.
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