The invention relates to a dynamic equivalence method for a wind power station of direct drive permanent magnet wind turbine generators. The method is based on output time sequence data clustering of the wind turbine generators and comprises the following steps: selecting wind turbine generator clustering sample data; carrying out phase-space reconstruction on all sampling data; obtaining a distance matrix dn*n of every two wind turbine generators by use of a geometric template matching algorithm; clustering the wind turbine generators by use of an attribute threshold clustering algorithm; and carrying out equivalence on wind turbine generator parameters and network parameters in the wind turbine generator cluster. According to the dynamic equivalence method provided by the invention, the time sequence data of output power of the wind turbine generators are used as the cluster sample data, and the clustering is carried out by use of the sample data to reflect the operation properties of the wind turbine generators at various moments within the time period; the clustering is carried out by use of the geometric template matching algorithm and the attribute threshold clustering algorithm, the clustering method can reflect the operation properties of the wind turbine generators, the obtained clustering result is suitable for all moments within the time period, and multi-time clustering of the wind turbine generators can be avoided, so that the dynamic equivalence method has a certain engineering application value.