NDLI: The prediction of post insulators leakage current from environmental data

Content Provider	IEEE Xplore Digital Library
Author	Ling Zhao Jianwu Jiang Shaohui Duan Chunhua Fang Jianguo Wang Kang Wang Pingmei Cao Jian Zhou
Copyright Year	2011
Description	Author affiliation: Shenzhen Power Supply Bureau, Guangdong Power Grid Corporation, Shenzhen 518020, China (Ling Zhao; Jianwu Jiang; Shaohui Duan) \|\| School of Electrical, Engineering High Voltage, Insulation Research Institute, Wuhan University, Wuhan 430072, China (Chunhua Fang; Jianguo Wang; Kang Wang; Pingmei Cao; Jian Zhou)
Abstract	Leakage current (LC) and environmental data online monitoring system are installed in 6 substations in Shenzhen, which can measure simultaneously post insulators LC and environment temperature, humidity, wind speed, rainfall amount and wind direction. This paper presents the predict results of LC from the environmental data using linear and nonlinear regression. The results show that although the model of linear regression is simple, but the fitting degree is not high; The nonlinear regression method combined with principal component analysis can not only analyze the main impact factors of the meteorological on LC accurately and reduce the number of independent variables, but also can establish high fitting degree non-linear regression equation about the meteorological factors and LC. LC can be used to predict accurately by this equation. Fitting monthly eight months of data in No.1 substation using nonlinear regression equation can find that the model of regression equation is the same, whereas the regression coefficients fluctuate to a certain extent with the insulators surface contamination degree changes at different times, the regression coefficients should be dynamically adjusted according to the measured data in actual applications.
Starting Page	5103
Ending Page	5106
File Size	321347
Page Count	4
File Format	PDF
ISBN	9781424481620
e-ISBN	9781424481651
DOI	10.1109/ICECENG.2011.6057235
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-09-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Regression Analysis Leakage Current Linear regression Post Insulators Humidity Insulators Leakage current Pollution measurement Environmental Data Mathematical model Equations
Content Type	Text
Resource Type	Article

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