Digital protection of power transformers using artificial neural networks
Conference
·
OSTI ID:381218
- Bowling Green State Univ., OH (United States)
This paper presents digital relay schemes for power transformer protection. The problems presented by the inrush current in a transformer protection scheme are briefly described. One of the currently existing harmonic restraint differential protection scheme is explained. The need for an artificial neural networks (ANNs) based scheme for identifying inrush and internal fault conditions is described. A feed forward layered network structure based scheme is proposed. The ANN is trained using the backpropagation algorithm with simulated current signals. Off line testing results show that the proposed ANN based method is effective in distinguishing inrush and internal fault conditions in a transformer.
- OSTI ID:
- 381218
- Report Number(s):
- CONF-9504112--
- Country of Publication:
- United States
- Language:
- English
Similar Records
Using a neural network for transformer protection
Application of neural network to microprocessor-based transformer protective relaying
A Kalman filter based digital percentage differential and ground fault relay for a 3-phase power transformer
Conference
·
Sat Dec 30 23:00:00 EST 1995
·
OSTI ID:438728
Application of neural network to microprocessor-based transformer protective relaying
Conference
·
Sat Dec 30 23:00:00 EST 1995
·
OSTI ID:438729
A Kalman filter based digital percentage differential and ground fault relay for a 3-phase power transformer
Journal Article
·
Sun Jul 01 00:00:00 EDT 1990
· IEEE Transactions on Power Delivery (Institute of Electrical and Electronics Engineers); (USA)
·
OSTI ID:6801440