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Synchronous Machine steady-State parameter estimation using neural networks

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2 Author(s)
M. Calvo ; Nortel Networks, Calgary, Alta., Canada ; O. P. Malik

An online steady-state parameter estimation technique using the ability of the neural networks to recognize patterns is presented in this paper. The method is nonintrusive. Studies on a salient pole and on a round rotor synchronous machine illustrate the effectiveness of the proposed technique. Results indicate that the steady-state parameters can be obtained without the use of rotor position.

Published in:

IEEE Transactions on Energy Conversion  (Volume:19 ,  Issue: 2 )