Abstract: Reasonable planning strategies before the occurrence of extreme events with high impact and low probability can effectively enhance the resilience of distribution networks. First, according to the amount of the information of extreme events,decision-makers can be divided into relatively conservative decision-makers with information support and extremely conservative decision-makers without information support. Then, for the relatively conservative decision-makers with information support, the extreme events caused by the typhoon are taken as an example to build the model of its impact on the distribution network. A planning method for resilience enhancement of distribution networks that combines the information gap decision theory with stochastic optimization is proposed, and its benefits and application scope are analyzed. Furthermore, for the extremely conservative decision-makers without information support, the planning method for resilience enhancement of distribution networks based on the risk averse strategy of the information gap decision theory is studied, and the inherent resilience of distribution networks is analyzed. Finally, the simulation is carried out in a real 94-bus distribution network in a region of China. The results show that under the limited capital budget, the proposed method can adapt to the different preferences of the two types of decision-makers for avoiding the risk of extreme events, generate the optimal planning strategy for enhancing the resilience of distribution networks, and control the weighted load shedding level below the threshold.