As a large number of distributed power sources such as photovoltaic and wind are integrated into the grid, the grid structure becomes more complex. In this process, the time-varying of light intensity and wind makes their output voltage volatile and intermittent, resulting in frequent fluctuation of power flow state and more obvious zoning characteristics in power grid. The traditional centralized control method has been unable to meet the control requirements under the new situation, and the distributed control method has become the main control method in the current power grid. The premise of the distributed control method is that the system has been divided into several stable regions. Based on this, a clustering algorithm based intelligent distribution network partition method is proposed. AP clustering algorithm is used to analyze the matrix clustering, and the optimal number of partitions is obtained. The above method is verified in IEEE33 node system and IEEE123 node system, and the values of contour coefficient and variance ratio standard are used as indexes. The results show that the method is effective and feasible.