Title :
Estimation of Fault Location on Distribution Feeders using PQ Monitoring Data
Author :
Kim, Jinsang ; Baran, Mesut E. ; Lampley, Glenn C.
Author_Institution :
Dept. of Electr. & Comput. Eng., NC State Univ., Raleigh, NC
Abstract :
This paper investigates the challenges in the extraction of fault data (fault current magnitude and type) for fault location application based on actual field data and proposes a procedure for practical implementation. The proposed scheme is implemented as a stand-alone software program, and is tested using actual field data collected at distribution substations and the results are compared with results of the state-of-the-art software package currently used in a utility.
Keywords :
distribution networks; fault location; power system measurement; substations; PQ monitoring data; distribution feeders; distribution substations; fault location; field data; stand-alone software program; Artificial neural networks; Circuit breakers; Circuit faults; Data mining; Fault currents; Fault location; Fuses; Monitoring; Protection; Substations; Distribution fault location; distribution feeder monitoring; distribution power quality;
Conference_Titel :
Power Engineering Society General Meeting, 2007. IEEE
Conference_Location :
Tampa, FL
Print_ISBN :
1-4244-1296-X
Electronic_ISBN :
1932-5517
DOI :
10.1109/PES.2007.385635