State Estimation Based Transmission Line Fault Locating With Sequence Distributed Parameter Models
2017
会议录名称2017 IEEE CONFERENCE ON ENERGY INTERNET AND ENERGY SYSTEM INTEGRATION (EI2)
卷号2018-January
发表状态已发表
DOI10.1109/EI2.2017.8245545
摘要This paper presents a novel phasor-domain dual-ended transmission line fault locating method enabled by sequence distributed parameter models and the state estimation algorithm. The method only requires fundamental frequency phasor measurements. Best implementation requires GPS synchronization at both terminals of the line. The method first models the transmission line with fault in sequence domain with distributed parameters, to accurately consider the effect of charging currents. Second, the state estimation algorithm is adopted to make full use of the redundancy in the fault locating problem and to cross check the estimated fault location. Numerical experiments demonstrate that the method has better accuracy than legacy fault locating methods, independent of fault types, locations and impedances.
关键词Sequence distributed parameter models fault locating state estimation
出版地345 E 47TH ST, NEW YORK, NY 10017 USA
会议地点Beijing
会议日期26-28 Nov. 2017
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收录类别CPCI ; EI
语种英语
WOS研究方向Energy & Fuels ; Engineering
WOS类目Energy & Fuels ; Engineering, Electrical & Electronic
WOS记录号WOS:000427701301177
出版者IEEE
EI入藏号20182705391234
EI主题词Electric lines ; Location ; Numerical methods ; State estimation
EI分类号Electric Power Lines and Equipment:706.2 ; Control Systems:731.1 ; Numerical Methods:921.6
WOS关键词SINGLE
原始文献类型Proceedings Paper
来源库IEEE
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文献类型会议论文
条目标识符https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/20189
专题信息科学与技术学院_PI研究组_刘宇组
通讯作者Liu, Yu
作者单位
1.ShanghaiTech Univ, SIST, Shanghai 201210, Peoples R China
2.State Grid Shanghai Pudong Elect Power Supply Co, Shanghai 200120, Peoples R China
3.Georgia Tech, Sch Elect & Comp Engn, Atlanta, GA 30332 USA
第一作者单位上海科技大学
通讯作者单位上海科技大学
第一作者的第一单位上海科技大学
推荐引用方式
GB/T 7714
Liu, Yu,An, Yiran,Xie, Boqi. State Estimation Based Transmission Line Fault Locating With Sequence Distributed Parameter Models[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2017.
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