Abstract: When planning stand-alone microgrids with a high proportion of renewable energy penetration, the uncertainty of wind and solar outputs poses difficulties in achieving the goal of lean planning. To this end, a stand-alone microgrid optimization planning method based on the information gap decision theory（IGDT） is proposed for hydrogen-containing energy storage. First, the basic structure of a stand-alone microgrid containing a hydrogen energy storage system is constructed. Based on the developed structure, we explain the basic working principle of the hydrogen energy storage system is explained and a simplified mathematical model is derived. Second, an uncertain scene set is established based on the robust optimization idea of IGDT, and a two-level robust optimization planning model for a stand-alone microgrid considering the incentive DR is established. The outer model aims to minimize the annual comprehensive cost of the microgrid, while the inner model aims to minimize the annual operating cost of the microgrid. A genetic algorithm with an elite retention strategy is employed to solve the bi-level robust optimization programming model. The results validate the rationality and effectiveness of the established model and provide a reference for the optimization planning of stand-alone microgrid containing hydrogen energy storage.