The Data Mining Application in the Power Quality Monitoring Data Analysis

被引：0
|
作者：
Lin, Shunfu [1 ]
Xie, Chao [1 ]
Tang, Bo [1 ]
Liu, Ronghui [1 ]
Pan, Aiqiang [2 ]
机构：
[1] Shanghai Univ Elect Power, Coll Elect Engn, Shanghai, Peoples R China
[2] State Grid Shanghai Municipal Elect Power Co, Elect Power Res Inst, Shanghai, Peoples R China
来源：
PROCEEDINGS OF THE 2016 IEEE 11TH CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA) | 2016年
关键词：
power quality; data mining; cluster analysis; correlation analysis;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
It is a main issue to find valuable information from the power quality data because of its big volume, heterogeneity and low value density in the power quality monitoring system of the grid. An analysis system of the power quality analysis based on the data mining technologies is presented in this paper, consisting of the technologies of data cleaning, data fusion, cluster analysis, correlation analysis, and etc.. The proposed analysis system is applied in the power quality data analysis of a certain city power quality monitoring system. The meaningful variation laws of the power quality indices are obtained, which can provide valuable reference to the grid planning, dispatch and operation.
引用
收藏
页码：338 / 342
页数：5
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