摘要
在分析电能质量扰动信号的时域特征的基础上,提取了4个用于分类电能质量扰动的特征量,并且提出了一种电能质量扰动分类方法。所提取的扰动分类特征量具有较为明确的物理意义,因此,有利于对各种电能质量扰动进行估值;某一特征量或某几个特征量能唯一确定一种扰动,使扰动判断不再具有或然性;任一扰动的特征量不因其他扰动的存在而改变其值,因此,可以准确辨别出混合扰动。MATLAB仿真和分析表明,该方法能有效地分类更多的单一和混合电能质量扰动,并且计算耗时更少。
After the characteristics of different electrical disturbance signals are analyzed in time domain, four distinctive characteristics can be extracted for the purpose of classifying different power disturbances. Based on this approach, a new method for electrical disturbance classification is proposed. The characteristics extracted by this method have advantages as follows: ① The characteristics have clear physical meanings, which can be easily used for evaluation of the disturbance parameters. ②A particular characteristic or some characteristics can determine one disturbance only, which ensure the deterministic nature of disturbance classification. ③The characteristics of some disturbance will not change because of the existence of other disturbances, which means that mixed disturbances can be classified as well. MATLAB based simulation results are given to show the efficiency and effectiveness of the proposed method.
出处
《电力系统自动化》
EI
CSCD
北大核心
2008年第17期50-54,共5页
Automation of Electric Power Systems
关键词
电能质量
电能质量扰动
噪声
扰动分类
power quality
power quality disturbance
noise
disturbance classification