Identification of synchronous generator parameters based on 3-phase sudden short-circuit current

A novel computation method for the identification of synchronous generator parameters based on simulated data of 3-phase sudden short-circuit current is described. The 3-phase sudden short-circuit current data is simulated by MATLAB. Considering optimization of multidimensional parameters and solution of nonlinear equations, the particle swarm optimization (PSO) algorithm and improved Euler method are employed. Since the identification process of direct axis parameters is identical with that of quadrature axis parameters for the cylindrical synchronous generator, only the direct axis parameters identification is given. The comparison between identified values and real values proves the correctness of the method.