A novel photovoltaic array outlier cleaning algorithm based on moving standard deviation

被引：0

作者：

Shi M. ^{[1
]}

Yin R. ^{[1
]}

Hu A. ^{[1
]}

Wu J. ^{[3
]}

机构：

[1] State Grid Hebei Electric Power Supply Co., Ltd., Shijiazhuang

[2] North China Electric Power University, Beijing

[3] China Electric Power Research Institute, Nanjing

来源：

Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control | 2020年 / 48卷 / 06期

基金：

中国国家自然科学基金;

关键词：

cleaning algorithm; data cleaning; outlier; power curve; PV array;

D O I：

10.19783/j.cnki.pspc.190484

中图分类号：

学科分类号：

摘要：

There are a large number of outliers in the PV array operation data. The outlier will bring difficulties to the functions such as PV array performance analysis, modeling, and fault diagnosis. In order to effectively clean the outlier in the PV array operation data, this paper proposes a cleaning method for PV array outlier based on moving standard deviation. It analyzes the source and distribution characteristics of the array outlier data and proposes the algorithm based on moving standard deviation. The curve’s rising of the sliding standard deviation set is used as the basis for judging the outlier data. Finally, through the case analysis and comparison of quartile method, the results show that the algorithm can effectively reduce the cleaning error caused by the concentration distribution of the outlier. © 2020 Power System Protection and Control Press. All rights reserved.

引用

页码：108 / 114

页数：6

共 23 条

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