부산대학교 도서관

The dynamic nonlinear order reduction, preserving the dominant state variables of wind turbine units, is a prerequisite for analyzing the stability of large-scale wind power integration systems under large disturbances. Therefore, this paper proposes a dynamic dimension reduction method for wind turbine models, which is applicable for analyzing large disturbance scenarios while retaining the state variables and could give the quantitative indicators for state variables. The direct drive permanent magnet synchronous generator (PMSG) model is used as the test example, and the singular perturbation reduced-order model (ROM) is obtained by the proposed nonlinear model reduction method. In the modified test system, the performance results have demonstrated high accuracy, computational efficiency, and robustness of the proposed method.