DocumentCode :
1599735
Title :
Characteristic Analysis of Temperature Sensor in Dynamic Capacity Increase of High Voltage Electric Power Transmission Lines
Author :
Dai, Yuan ; Song, Anqi ; Wang, Wei ; Cheng, Yangchun ; Liang, Yongchun ; Kong, Jianliang ; Xiao, Kai ; Zhang, Yuning
Author_Institution :
Electr. Power Res. Inst. of Guangdong Power Grid Corp., Guangzhou, China
fYear :
2012
Firstpage :
1396
Lastpage :
1399
Abstract :
Dynamic capacity increase in high voltage electric power transmission line is currently the most economical method for solving electric power transmission bottleneck nowadays. Temperature measurement error of the transmission line will affect the calculated current capacity of the transmission line. In this paper, conductor temperature model was applied to analyze the influence of the measurement error on the maximum current capacity, and Morgan formula was used for comparison. In order to decide whether the PT100 temperature sensor in this project satisfies the accuracy requirement above, a temperature experiment was conducted and a large amount of data was gathered. The measurement error of PT100 temperature sensor was analyzed mainly by statistics histogram and hypothesis testing, and gives the result of error as well as suggests a constructive approach to reduce the measurement error.
Keywords :
power consumption; power transmission lines; temperature measurement; temperature sensors; Morgan formula; PT100 temperature sensor; conductor temperature model; dynamic capacity; high voltage electric power transmission lines; power consumption; temperature measurement error; Measurement errors; Power system dynamics; Power transmission lines; Temperature measurement; Temperature sensors; Transmission line measurements; Current Capacity; Dynamic Capacity Increase; PT100 Temperature Sensor; Temperature Error;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent System Design and Engineering Application (ISDEA), 2012 Second International Conference on
Conference_Location :
Sanya, Hainan
Print_ISBN :
978-1-4577-2120-5
Type :
conf
DOI :
10.1109/ISdea.2012.460
Filename :
6173470
Link To Document :
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