Dynamic modeling of hydroturbine generating set

Regulating the frequency and load is generally undertaken by the hydroturbine generating set in an electric power system. Therefore, it is important for the hydroturbine generating set to operate safely and steadily, and it is necessary to study the dynamic behavior so as to design the control strategy effectively and realize safe and stable operation. This paper mainly discusses the dynamic behavior modeling of a real machine set under the status of a single machine set with region load according to the field test with a recursive least squares estimation (RLSE) algorithm. The results demonstrate that the hydroturbine generating set has nonlinear characteristics on the status of a single machine set with a region load. It will take the error with the linear model to describe their behavior. The paper also studies the nonlinear model with an artificial neural network and it is proved that its modeling accuracy is high