In order to study the possibility of network reconfiguration and cluster division to improve distributedgeneration configuration in the distribution network, a two-layer model of dynamic reconfiguration and cluster division isproposed, which can obtain the best reconfiguration strategy and cluster division at the same time. The distributedphotovoltaic (DPV) and energy storage system (ESS) capacity and location optimization experiments are carried outthrough 4 schemes, the optimization indicators such as DPV capacity and annual overall cost and operation indicatorssuch as network loss and voltage level are compared. The results show that under the DPV and ESS capacity and locationoptimization scheme based on the two-layer division result, the DPV capacity is the largest and the annual overall cost isthe lowest. The examples show that the bidirectional dynamic reconfiguration strategy can greatly expand the room forimprovement of DPV consumption while reducing planning costs. It has high reference value when solvinghigh-proportion distributed power optimization problems.