Title :
An accurate fault locator for cable transmission using ANN
Author :
Zadeh-Khorashadi, H. ; Naveh-Hosseini, S.
Author_Institution :
Dept. of Electr. Eng., Univ. of Birjand, Iran
Abstract :
This paper presents a new neural network-based transmission cable fault locator module. Different faults on a protected cable should be located correctly. The proposed module uses samples of voltage and current signals to learn the hidden relationship existing in the input patterns. The scheme is insensitive to fault type, fault resistance, fault inception angle and system source configuration. Details of the design procedure and the results of performance studies with the proposed fault locator are given in the paper. Performance studies results show that the proposed algorithm is accurate.
Keywords :
fault location; neural nets; power cables; power system analysis computing; power transmission faults; power transmission lines; power transmission protection; ANN; artificial neural network; cable protection; fault inception angle; fault resistance; system source configuration; transmission cable fault locator module; Artificial neural networks; Fault location; Pattern recognition; Power cables; Power system faults; Power system protection; Power system relaying; Power system simulation; Protective relaying; Voltage;
Conference_Titel :
Electrotechnical Conference, 2004. MELECON 2004. Proceedings of the 12th IEEE Mediterranean
Print_ISBN :
0-7803-8271-4
DOI :
10.1109/MELCON.2004.1348101