Title :
Data needs for reliability assessment of distribution systems
Author :
Pahwa, Anil ; Gupta, Shalini ; Brown, Richard E.
Author_Institution :
Dept. of Electr. & Comput. Eng., Kansas State Univ., Manhattan, KS, USA
Abstract :
In this paper, a fuzzy-adaptive model for prediction of failure rates of overhead power distribution lines based on physical and weather related features is presented. The input data used and the results obtained are discussed. Also, results on sensitivity of failure rates to input features are provided. The overall aim of this presentation is to outline a methodology for feature-based prediction of failure rates of distribution system components. Since this method heavily depends of the input data and their accuracy, need for such databases is stressed.
Keywords :
failure analysis; power distribution faults; power distribution lines; power distribution reliability; power overhead lines; power system analysis computing; statistical analysis; distribution systems reliability assessment; feature-based prediction; fuzzy adaptive model; input data needs; overhead distribution line failure rates prediction; Electrical equipment industry; Maintenance; Personnel; Power distribution; Power industry; Power system reliability; Predictive models; Protection; Spatial databases; Weather forecasting;
Conference_Titel :
Power Engineering Society Summer Meeting, 2002 IEEE
Conference_Location :
Chicago, IL, USA
Print_ISBN :
0-7803-7518-1
DOI :
10.1109/PESS.2002.1043426
