Synchronous generator parameter identification based on Tikhonov regularization method

The synchronous generator parameter identification can be mathematically regarded as a nonlinear inverse problem and the primary issue is its ill condition. The ill condition of inverse problem is analyzed and Tikhonov regularization method is introduced to the identification of synchronous generator parameters. Multiple test scenes are set in simulation and the simulative results show that, compared with the traditional least square method, the proposed method can overcome the ill condition of system and identify the parameters of synchronous generator effectively.