The control system of the wind power system based on the doubly fed induction generator（DFIG）has an important effect on the dynamic characteristics of the whole system.And setting rational controller parameters plays an important role in improving the integral external characteristics of the system.The weight relations between different indicators of the system are identified by using the orthogonal optimum seeking method.Then the influence of each controller parameter on different performance indexes of the whole system is analyzed and the sensitivity relationship is obtained by the trend analyzing method of the orthogonal test.Based on the orthogonal optimum seeking method and the trend analyzing method，an optimizing method is presented which combines particle swarm optimization（PSO）and orthogonal method to optimize the controller parameters of the whole system.The new optimization strategy is directional and has satisfactory convergence，solving the parameter optimization problems of complicated multiple input and output systems.Dynamic simulation has verified the effectiveness of the new optimization methods while the performance of the DFIG wind power system is significantly improved.