DocumentCode
3216068
Title
An Approach to Improve Measurement Accuracy for Electric Power Fault Recorder
Author
Che, Renfei ; Liang, Jun ; Lee, Wei-Jen
Author_Institution
Sch. of Electr. Eng., Shandong Univ., Jinan
fYear
2008
fDate
5-9 Oct. 2008
Firstpage
1
Lastpage
5
Abstract
Electric power fault recorder is considered to be an important secondary device in modern electric power system. The data recorded by fault recorder has become basic and reference material for future calculation, analyzing and decision making. However, the measurement accuracy of fault recorder has rarely received much attention in the past, which could cause the applications that are based on the recorded data to obtain inaccurate results, and thus tend to weaken the deserved reference value of the recorded data. To improve the measurement accuracy of fault recorder, the input-output property of fault recorder´s analog channels is studied in this paper. The studies show that the linear expression can not accurately express the relationship between input and output of analog channels. Careful examination of fault recorder´s sampling data reveals its input-output relationship is a slightly non-linear expression. In order to reduce the impact of non- linearity, the best fitting curve and best segmented fitting curve are proposed to replace the linear expression in this paper. The test results on actual fault recorder show that the presented approach can greatly improve the measurement accuracy, even in a large measurement range.
Keywords
decision making; power system faults; power system measurement; analog channel; decision making; electric power fault recorder; measurement accuracy; Circuit faults; Curve fitting; Decision making; Electric variables measurement; Power engineering and energy; Power measurement; Power system analysis computing; Power system faults; Power system reliability; Sampling methods;
fLanguage
English
Publisher
ieee
Conference_Titel
Industry Applications Society Annual Meeting, 2008. IAS '08. IEEE
Conference_Location
Edmonton, Alta.
ISSN
0197-2618
Print_ISBN
978-1-4244-2278-4
Electronic_ISBN
0197-2618
Type
conf
DOI
10.1109/08IAS.2008.384
Filename
4659172
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