Abstract: The resilience of an integrated community energy system (ICES) reflects its capacity of resistance and recovery against natural disasters, which is of great significance for ensuring safe, stable and reliable energy supplying to users. In this paper, we study the ICES planning method from the perspective of resilience improvement. The proposed model is a dual-objective three-layer ICES robust planning model, developed on the basis of the natural disaster attack model and resilience analysis process. The planning of the system topology and equipment capacity in the upper layer is implemented with resilience and economical objective functions. The most serious disaster attack strategy is sought in the middle layer, taking the worst resilience index as the objective. In the lower layer, the optimal operation of ICES with the best resilience is achieved under the given attack strategy. A multi-objective optimization algorithm combining NSGA-II and mixed-integer linear programming is utilized to solve the model, and its effectiveness is verified in an IEEE RTS-79-based ICES. The case study results indicate that the resilience and economical collaborative optimization is achieved in the planning process using the proposed model. In addition, the planning schemes with different emphases are presented in the form of Pareto front, providing valuable insights for decision makers.