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Transient stability assessment using artificial neural network

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1 Author(s)
Sanyal, K.K. ; Granherne Int. Ltd., Doha, Qatar

This paper proposes a novel method of transient stability assessment by adaptive pattern recognition which makes use of an artificial neural network (ANN). A multilayer feed forward network has been applied to a sample nine bus three machine system. A test set pattern chosen outside the region of the learning set patterns giving very close to desirable output (error below 5%) validates the generalising and extrapolating capability of the network after learning. The method has been successfully applied to determine which particular machine goes out of step.

Published in:

Electric Utility Deregulation, Restructuring and Power Technologies, 2004. (DRPT 2004). Proceedings of the 2004 IEEE International Conference on  (Volume:2 )

Date of Conference:

5-8 April 2004

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