Influence of Wind Power Integration on Power System Transient Stability Based on Stochastic Theory

Wind power has certain uncertainty and affects the transient stability of power system. The concept of standard Wiener process and Gaussian white noise is introduced. The Ito stochastic differential equation is given. Based on stochastic differential equation theory, different types of wind turbines are established. Consider the grid-connected model of wind speed fluctuations and establish a dynamic model of the power system considering wind power uncertainty. By means of the theory and numerical integration method of stochastic differential equations, it is applied to the stochastic model of power system to analyze the influence of wind power uncertainty on the electromechanical transient process of power system. Simulations are carried out in combination with simulation examples. The simulation results show that adding damping to the system can reduce the negative impact of wind power uncertainty.