Title :
A practical method of reliability weak links mining for distribution network based on multidimensional analysis
Author :
Wei Wei ; Bai Yang ; Yin Qiang ; Bao Hailong ; Fang Chen ; Yang Jianlin
Author_Institution :
Key Lab. of Smart Grid of Minist. of Educ., Tianjin Univ., Tianjin, China
Abstract :
Aiming at the limitation that the interruption event recordings are simply used to calculate the reliability indexes in the reliability management of distribution network at present, this paper proposes a practical method of reliability weak links mining for distribution network based on multidimensional analysis. Firstly, a complete multidimensional cube model of interruption recording is built according to the normalized format of interruption recording. Secondly, the complete cube model is reconstructed considering the actual situation and application requirements. Lastly, slicing analyses on single dimension and dicing analyses on multiple dimensions are carried out on the reconstructed cube model, with the results shown in the form of chart, and then targeted recommendations for the operation and maintenance works are proposed. Practical application is found to be much effective in excavating the weak links of distribution network reliability, and providing valuable recommendations and decision basis for both the primary operation and maintenance department, and the management hierarchies.
Keywords :
data mining; maintenance engineering; power distribution reliability; power engineering computing; dicing analyses; distribution network reliability; interruption recording; maintenance works; multidimensional analysis; multidimensional cube model; reconstructed cube model; reliability weak links mining; slicing analyses; Analytical models; Data mining; Data models; Indexes; Interrupters; Power system reliability; Reliability; OLAP; distribution network; multi-dimensional analysis; operation and maintenance; reliability management;
Conference_Titel :
TENCON 2013 - 2013 IEEE Region 10 Conference (31194)
Conference_Location :
Xi´an
Print_ISBN :
978-1-4799-2825-5
DOI :
10.1109/TENCON.2013.6718972