Synchronous generator model identification using Volterra series

Application of volterra series for identification of a synchronous generator is investigated in This work. For linear systems convolution integral models the input-output data set. For nonlinear systems, however, Volterra series serves as a generalization of the convolution integral. To parameterize the Volterra kernels, orthogonal functions have been used. The proposed method has been tested on a nonlinear seventh order synchronous generator model. In this study, the field voltage is considered as the input and the active output power and the terminal voltage are considered as the outputs of the synchronous generator. Simulation results show good accuracy of the identified model following changes in the operating conditions.