Synchronous machine parameter identification by a multi-time scale technique

The authors propose a novel method for synchronous machine parameter identification. They use the multi-time-scale decompositions to reduce the operational reactances. The identification method is based on the frequency responses. The synchronous machine is at standstill and supplied by pseudorandom binary sequence voltages. The output data are the currents in the windings. All the Park's model parameters of an alternator of 13.5 kVA/19.5 A/50 Hz are estimated by an autoregressive external input model structure. >