数据挖掘及其在电能质量分析中的应用  

Data Mining and Its Application in Power Quality Analysis

作　　者：陈红坤[1] 黄娟[1] 

机构地区：[1]武汉大学电气工程学院,武汉430072

出　　处：《电力系统及其自动化学报》2009年第5期51-55,共5页Proceedings of the CSU-EPSA

摘　　要：为从大量的电能质量监测数据中提取出潜在的有用的信息,综述了数据挖掘在电能质量分析中的应用;介绍了数据挖掘的相关定义、处理过程、主要方法及发现的知识类型;概述了数据挖掘在电能质量数据预处理、扰动识别、谐波源定位中的相关应用,并就其应用前景进行了展望。In order to extract effective information from numerous power quality monitoring data, the application of data mining in power quality analysis was developed. A brief description about the application of data mining in power quality analysis and its related definitions, process procedures, main methods and knowledge types found were introduced. Also, its related applications in power quality data preprocess, disturbance recognition and harmonic source identification were outlined. Finally, its potential application was presented.

关 键 词：电能质量 数据挖掘 数据预处理 扰动模式识别 谐波源定位 

分 类 号：TM71[电气工程—电力系统及自动化]