Reliability distribution of relay protection based on random truncation data and maximum likelihood estimation
DOI：10.7667/PSPC20191215
Key Words:relay protection  device defect  Weibull distribution  maximum likelihood estimation  random truncation data
Author NameAffiliationE-mail
WANG Wenhuan China Electric Power Research Institute, Beijing 100192, China  
YANG Guosheng China Electric Power Research Institute, Beijing 100192, China  
ZHOU Zexin China Electric Power Research Institute, Beijing 100192, China zhouzx@epri.sgcc.com.cn 
ZHAN Rongrong China Electric Power Research Institute, Beijing 100192, China  
ZHANG Lie China Electric Power Research Institute, Beijing 100192, China  
GUO Peng China Electric Power Research Institute, Beijing 100192, China  
KANG Yiqun China Electric Power Research Institute, Beijing 100192, China  
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Abstract:Defects of protective device seriously affect its operation reliability. Device defect distribution is an important basis for evaluating device reliability. Due to the long running time of the device, the defect occurrence rate is low, it is unable to obtain complete defect data, and the defect data has a random truncation feature. The maximum likelihood estimation method is used, and the distributed parameter estimation of protection devices is realized based on Weibull distribution model with two parameters. Based on the assumption that the power module, CPU module, AC sampling module and LCD module of the protection device have independent distribution characteristics, it builds joint distribution model, which realizes the parameter estimation of each module and the overall defect probability distribution model. The proposed method can effectively guide the device defect distribution analysis and the device maintenance. This work is supported by Science and Technology Project of State Grid Corporation of China:Relay Protection Device and Running Assistant Decision-making Technique (No. JBB17201600239).
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