This website requires JavaScript.

Phase Identification of Smart Meters Using a Fourier Series Compression and a Statistical Clustering Algorithm

Jeremy J. ChiuAlbert WongJames ParkJoe MahonyMichael FerriTim Berson
Dec 2022
摘要
Accurate labeling of phase connectivity in electrical distribution systems isimportant for maintenance and operations but is often erroneous or missing. Inthis paper, we present a process to identify which smart meters must be in thesame phase using a hierarchical clustering method on voltage time series data.Instead of working with the time series data directly, we apply the Fouriertransform to represent the data in their frequency domain, remove $98\%$ of theFourier coefficients, and use the remaining coefficients to cluster the metersare in the same phase. Result of this process is validated by confirming thatcluster (phase) membership of meters does not change over two monthly periods.In addition, we also confirm that meters that belong to the same feeder withinthe distribution network are correctly classified into the same cluster, thatis, assigned to the same phase.
展开全部
图表提取

暂无人提供速读十问回答

论文十问由沈向洋博士提出,鼓励大家带着这十个问题去阅读论文,用有用的信息构建认知模型。写出自己的十问回答,还有机会在当前页面展示哦。

Q1论文试图解决什么问题?
Q2这是否是一个新的问题?
Q3这篇文章要验证一个什么科学假设?
0
被引用
笔记
问答