Abstract: For the distribution network with high-penetration of distributed photovoltaic,rational planning and allocation of controllable distributed generators and distributed energy storage will not only improve the ability of the distribution network to quickly recover important loads in extreme scenarios,but also contribute to the photovoltaic absorption capacity in normal operation scenarios.In response to the high proportion of distributed photovoltaic integration into the distribution network,this work presents a distribution network extreme scenario generation and clustering method using Monte Carlo simulation and Kmeans clustering,and further,proposes a two-stage planning method for distribution systems under a resilience-oriented perspective.For this,the first planning stage features a multi-objective problem seeking to satisfy optimal investment economy and improve the profitability and resilience under subsequent operation scenarios,considering the installation budget,quantity and capacity constraints of DG and energy storage. Next,the second operation stage establishes the normal operation scenario operation model and the extreme scenario recovery model respectively,considering radial topology constraints,and integrating operation and load recovery state constraints.An example demonstrates the promotion effect of allocating resources under normal operation and extreme scenarios,and balancing the planning economy on distribution network,and the effectiveness of the proposed approach in improving the resilience and toughness of distribution systems responding to extreme events.