Parameter Identification of Six-Order Synchronous Motor Model Based on Grey Box Modeling

As the “heart” of power system, synchronous generator’s accurate model parameters are the basis of power system simulation, operation analysis and fault diagnosis. These parameters also have a very important impact on the operation analysis of power grid. This paper introduces the mathematical model of the sixth-order synchronous generator and establishes the incremental model for its identification. The methods of grey box modeling and nonlinear least square are used to identify the parameters of the sixth-order synchronous generator. When a single - phase short - circuit fault occurs in the power system, the response data of the generator is simulated in the PSASP software. When a program for synchronous machine parameter identification is written, the result will verify the validity of this approach.