首页 | 本学科首页   官方微博 | 高级检索  
     

用模糊集合理论识别电力系统振荡中的短路的研究
引用本文:焦邵华,刘万顺,杨奇逊,张振华.用模糊集合理论识别电力系统振荡中的短路的研究[J].中国电机工程学报,1998,18(6):443-448.
作者姓名:焦邵华  刘万顺  杨奇逊  张振华
作者单位:华北电力大学北京研究生部,北京,100085
摘    要:本文通过对电力系统振荡和短路所呈出的不同特征的分析,从故障特征入手,利用模糊集合理论来识别振荡过程中发生的短路,对于振荡中的三相短路的识别,本文提出一种基于振荡中心电压的波形跟踪识别方法,对于振荡中的不对称故障的识别,本文选取模变换中的Clark变换作为数学工具,与对称分子量变换相结合,构造了Iα/Iβ判据,Ia-Iβ与序分量组合判据,文章给出了相应的模糊数学模型,并经大量的仿真试验,获得良好的仿

关 键 词:电力系统  振荡  三相短路  模糊集合理论  识别

Study on the Discrimination Between Faults and Power Swings Based on Fuzzy Set
Jia Shaohua,Liu Wanshun,Yang Qixun,Zhang Zhenhua.Study on the Discrimination Between Faults and Power Swings Based on Fuzzy Set[J].Proceedings of the CSEE,1998,18(6):443-448.
Authors:Jia Shaohua  Liu Wanshun  Yang Qixun  Zhang Zhenhua
Affiliation:Beijing Postgraduate School of North China Electric Power University 100085 Beijing China
Abstract:This paper discusses the principles of distinguishing faults from power swings.By analyzing the characteristics of faults,a series of new principles are preferred based on fuzzy set.In order to discriminate the balanced faults from swings a new approach based on the entire waveform of the voltage of swing center is proposed using the Fuzzy set.In order to discriminate the unbalanced faults from swings another approach using the Clark transform is presented based on fuzzy set.The related fuzzy math models are presented also.All the conclusions have been verified by the EMTP.
Keywords:power system swing    three phases    fault unbalanced fault    clark transform    fuzzy set
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号