第 34 卷第 25 期中国电机工程学报 , 2014
2014 年 9 月 5 日 Proceedings of the CSEE ©2014 . 4395
DOI:- 文章编号:0258-8013 (2014) 25-4395-07 中图分类号:TM 73
基于云模型的谐波电流异常检测
余南华 1,李兰芳 1,王玲 1,杨洪耕 2,谭丹 2
(,广东省广州市 510080;
,四川省成都市 610065)
Abnormal Detection for Harmonic Currents Based on Cloud Model
YU Nanhua1, LI Lanfang1, WANG Ling1, YANG Honggeng2, TAN Dan2
(1. Electric Power Research Institute of Guangdong Power pany, Guangzhou 510080, Guangdong Province, China;
2. School of Electrical Engineering and Information, Sichuan University, Chengdu 610065, Sichuan Province, China)
ABSTRACT: Monitoring harmonics of power system are the 一种基于云模型检测谐波电流是否异常的方法。根据正常运
main tasks of power quality monitoring system, and the 行条件下谐波电流的日 95%概率值和日最大值分别建立正
harmonic current detection can provide the basis for the 态云模型,利用云模型的熵来衡量正常运行方式时谐波电流
'
analysis of equipment operating status, so a method of 的波动范围,根据正态云外隶属曲线的 3En 外边界确定谐
abnormal detection for harmonic current based on cloud model 波电流的异常阈值。同时提出了谐波电流异常检测的修正算
was proposed. The normal cloud models were constructed by 法及简化公式。将需检测的谐波电流与谐波异常阈值进行比
the daily 95% probability value and daily maximum of 较,可实现谐波电流的异常检测;基于云模型确定谐波电流
harmonic current under the normal operating conditions 异常阈值可以克服基于总体样本方法确定的异常阈值受样
respectively. The entropy of the
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