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Improving Synchronous Generator's differential protection with the use of Artificial Neural Networks

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4 Author(s)
Monaro, R.M. ; Dept. of Electr. Eng., Univ. of Sao Paulo, São Carlos, Brazil ; Silva, R.C.S. ; de Melo Vieira, J.C. ; Coury, D.V.

This paper presents an alternative technique to detect and correct waveforms distortion due to Current Transformer (CT) saturation using intelligent tools based on Artificial Neural Network (ANN). The Real-time Digital Simulator (RTDS) was used to evaluate the performance of the ANNs running in a real-time embedded system. It is also shown that the CT saturation influences the Synchronous Generator (SG) differential protection.

Published in:

Power and Energy Society General Meeting, 2012 IEEE

Date of Conference:

22-26 July 2012

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