Abstract: The accurate parameter acquisition is helpful to improve the simulation accuracy of the low voltage ride-through control model for permanent magnet direct-drive wind turbines. The parameters of a complex model are numerous and cannot be fully obtained through tests, and the inaccuracy of its non-target parameters will affect the accuracy of target parameter identification. Therefore, the sensitivity analysis is used to evaluate the difficulty of parameter acquisition, providing a basis for the identification order selection. The non-target parameters are randomly set within the empirical range, and the probabilistic reliability assessment method is employed to decide observed variables from them for the accurate identification of target parameters. A stepwise identification strategy that takes into account both the priority order for identification and the selection of corresponding observed variables is adopted for the target parameters, and the identification results with high probabilistic reliability are obtained as the final parameter values. In this way, the influence of inaccurate settings of non-target parameters is eliminated. The proposed method is applied to identify the target parameters of the low voltage ride-through control model for permanent magnet direct-drive wind turbines, and the results have been verified by measured data.