With a large number of new energy being connected to the distribution network, the uncertainty and volatility of new energy output have brought great challenges to the distribution network planning. The impact of uncertainty and volatility of new energy on planning results can be reduced by comprehensively considering the source-network-load-storage. Based on this, a joint planning method of source-network-load-storage in distribution network considering dynamic reconfiguration and intelligent soft open point is proposed. First of all, according to the idea of density peak clustering, an improved affinity propagation clustering algorithm based on the density peak is proposed to cluster the combined scenes of wind power, photovoltaic and load to obtain the typical daily curve. Then, taking the minimum of the total planning cost as the objective function, a joint planning model of source-network-load-storage in distribution network considering dynamic reconfiguration and intelligent soft open point is established. Based on the second-order cone theory, the original non convex nonlinear planning model is transformed into a mixed integer second-order cone planning model. Finally, the validity of the proposed model and method is verified by simulation on the Portugal 54 numerical example.