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基于图形模式识别的电能质量扰动分类 被引量:3

Study of Power Quality Disturbances by Figure Pattern Recognition
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摘要 为对电能质量控制中的扰动进行正确分类,在总结现有扰动分类方法的基础上,基于模式识别理论,以α、β两相电量合成的图形为研究对象,提出了两个计算电量与理想正弦工频电量贴近度的稳态电能质量指标,当系统中含有谐波和负序分量时,该指标能综合地反映出它们对电能质量的整体影响;仿真分析了各种电能质量扰动现象并总结出它们的α、β两相电量合成图形特征,通过这些特征可简便直观地实现对电能质量扰动的分类。 Correct classification of power quality disturbances is an important precondition for control in power quality.This paper summarizes the existing analysis methods of power quality,and presents two indices of power quality in steady state which calculate the similarity between the electrical parameter and the ideal sine power frequency electrical parameter,according to the pattern recognition and the synthesized figure based on alpha and beta phases electricity parameter.This index can synthetically reflect the whole effect on the power quality as harmonics and negative sequence component of fundamental waves occurs in the system.On the basis of figure characteristics of power quality disturbances acquired by simulation,correct classification of power quality disturbances can be simply and directly achieved.
出处 《高电压技术》 EI CAS CSCD 北大核心 2007年第12期148-152,共5页 High Voltage Engineering
关键词 电能质量 模式识别 稳态电能质量指标 图形特征 扰动分类 power quality pattern recognition steady state power quality index feature of figures disturbance
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