Transient stability study using artificial neural networks models of generator, excitation system, governor

In this paper, the power system models established by artificial neural networks (ANNs) including generator, excitation system and governor are presented. Meanwhile, the three parts of the generation unit are connected together as a detail model. Furthermore, the detail model is written into power system network equations and the power system transient process is calculated using them. The calculation results demonstrate that artificial neural network models can give a precise description of a generator's transient processes.