NDLI: An accurate fault location and its data processing by least square method

Content Provider	IEEE Xplore Digital Library
Author	Chen Yunping Gong Qingwu Fu Fengnian Wu Su
Copyright Year	2002
Description	Author affiliation: Sch. of Electr. Eng., Wuhan Univ., Hubei, China (Chen Yunping; Gong Qingwu; Fu Fengnian; Wu Su)
Abstract	When a fault occurs on a transmission line, it is required to find out the fault point, clear the fault and resume power supply as soon as possible. This requires a highly accurate fault location. Besides the principle of the algorithm, the precision of fault location is also influenced by the way the sampled data is processed. In this paper, the differential equation is taken as the algorithm of transmission line fault location. The estimation, by the least square method, has optimum statistical character under certain conditions. After the parameter is estimated by the least square method, considering the model of a noisy system cannot be easily obtained, the auxiliary variable method is introduced to rectify it. The EMTP simulation and RTDS simulation confirm the validity of the data processing method and show that the result is steady. This indicates that the method works well in reducing the influence of noise. The accuracy can satisfy the requirement in engineering.
Sponsorship	IEEE Power Eng. Soc. (IEEE PES) Chinese Soc. Electr. Eng. (CSEE) China Electric Power Res. Inst. IEEE/PES Beijing Chapter
Starting Page	1118
Ending Page	1121
File Size	333157
Page Count	4
File Format	PDF
ISBN	0780374592
DOI	10.1109/ICPST.2002.1047575
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-10-13
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fault location Data processing Least squares methods Power transmission lines Resumes Power supplies Differential equations Parameter estimation EMTP Noise reduction
Content Type	Text
Resource Type	Article

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