Title :
Data Mining and Analysis of Tree-Caused Faults in Power Distribution Systems
Author :
Xu, Le ; Chow, MoYuen ; Taylor, Leroy S.
Author_Institution :
Dept. of Electr. & Comput. Eng., North Carolina State Univ., Raleigh, NC
fDate :
Oct. 29 2006-Nov. 1 2006
Abstract :
The reliability and quality of power distribution systems are affected by different distribution faults. Trees are one of the major fault causes. In this paper, four different measures: actual measure, normalized measure, relative measure, and likelihood measure are used to data mine the Duke Energy Distribution Outage Database for meaningful data features and to analyze the characteristics of tree-caused distribution faults. This paper also applies statistical techniques to analyze tree-caused faults with respect to several selected influential factors. The results can be used to assist power distribution engineers to provide a more effective fault restoration system and design a more effective tree-fault prevention strategy
Keywords :
data analysis; data mining; database management systems; fault trees; power distribution faults; power distribution reliability; power supply quality; power system analysis computing; statistical analysis; Duke Energy Distribution Outage Database; data analysis; data mining; fault restoration system; power distribution system quality; power distribution system reliability; statistical techniques; tree-caused distribution faults; tree-fault prevention; Circuit faults; Data analysis; Data mining; Energy measurement; Hurricanes; Lightning; Power distribution; Power system reliability; Power system restoration; Sampling methods;
Conference_Titel :
Power Systems Conference and Exposition, 2006. PSCE '06. 2006 IEEE PES
Conference_Location :
Atlanta, GA
Print_ISBN :
1-4244-0177-1
Electronic_ISBN :
1-4244-0178-X
DOI :
10.1109/PSCE.2006.296481
