Title :
Recognizing animal-caused faults in power distribution systems using artificial neural networks
Author :
Chow, Mo-Yuen ; Yee, Sue O. ; Taylor, Leroy S.
Author_Institution :
Dept. of Electr. & Comput. Eng., North Carolina State Univ., Raleigh, NC, USA
fDate :
7/1/1993 12:00:00 AM
Abstract :
Artificial neural networks are used to recognize the causes of faults in power distribution systems, based on fault currents information collected for each outage. Actual field data are used. The methodology and implementation of neural networks and fuzzy logic for the identification of animal-caused distribution faults are presented. Satisfactory results are obtained, and the developed methodology can be easily generalized and used to identify other causes of faults in power distribution systems.<>
Keywords :
distribution networks; fault currents; fault location; fuzzy logic; neural nets; power system analysis computing; animals; artificial neural networks; distribution systems; fault currents; fault location; fuzzy logic; outage; power system analysis computing;
Journal_Title :
Power Delivery, IEEE Transactions on
