Title :
Application of Neural Networks in Transmission Line Protection
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Calgary, Calgary, AB
Abstract :
Application of neural networks in transmission line protection is described. Directional element design and distance protection are discussed giving results of simulation studies, laboratory implementation and experimental studies, and with field fault data. It is shown that neural networks present a good potential for power system protection application.
Keywords :
neural nets; power engineering computing; power transmission faults; power transmission lines; power transmission protection; directional element design; distance protection; field fault data; neural networks; power system protection; transmission line protection; Application software; Electrical resistance measurement; Feedforward systems; Neural networks; Neurons; Pattern recognition; Power system protection; Power system relaying; Power transmission lines; Voltage;
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.2007.386162