Open AccessComprehensive prediction method for failure rate of transmission line based on multi‐dimensional cloud model
Author(s) -
Lei Jiazhi,
Gong Qingwu
Publication year - 2019
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2018.6302
Subject(s) - cholesky decomposition , computer science , electric power transmission , cloud computing , failure rate , transmission line , transmission (telecommunications) , reliability engineering , data transmission , real time computing , warning system , data mining , engineering , telecommunications , computer network , electrical engineering , operating system , eigenvalues and eigenvectors , physics , quantum mechanics
In allusion to the prediction for the failure rate of transmission lines under multiple external environmental factors, a comprehensive prediction method for the failure rate of transmission lines based on an multi‐dimensional cloud model and Cholesky decomposition was proposed in this study. According to the historical data in meteorological early warning system and icing forecasting system, the mutual correlation degrees of these multiple external environmental factors are got by the grey relational algorithm and the comprehensive prediction model for the failure rate of transmission lines was established based on an multi‐dimensional cloud model and Cholesky decomposition. In light with the external environmental factors in the next year, the failure rate of transmission lines was predicted by this proposed method. The test results based on actual data in Guizhou Power Grid show that this proposed comprehensive prediction method for the failure rate of transmission lines has high accuracy as the prediction error is about 2.05% and a much low computational burden as it only takes 30.25 s which is highly suitable for practical applications.