Synchronous Machine steady-State parameter estimation using neural networks

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.