Application of Small Disturbance Instability Based on Random Response Surface Method in Wind Power System

Abstract

Based on the large-scale grid connection of wind power, this paper explores the correlation between the electromechanical oscillation and the random response of the power system by introducing stochastic differential and algebraic equations, and it concludes that the dynamic information of the power system really exists in the random response. With the help of random average method, the introduction of parametric excitation and external excitation is a random system. Using the stability of the system, the joint probability density function and the stationary probability density function can explore the random bifurcation phenomenon of the system. On this basis, the stochastic response surface method is applied to the investigation of small disturbance stability, and the stochastic power flow analysis is transformed into deterministic power flow analysis, which improves the calculation accuracy. With the method of selecting points based on the principle of linear independence, it is on the basis of ensuring accuracy. While the computational efficiency of SRSM is improved, when solving the problem of small disturbance stability control by introducing evaluation indicators, the problem of small disturbance stability is quantitatively analyzed, and the improved NSGA- algorithm is applied to regulate the disturbance caused by the active power adjustment of the system. However improving the stability and adjustment rate of the system are verified by calculation examples to verify the feasibility of this method in practical applications, which provides a direction for future research and resolution of related problems.