Abstract: Considering the problem that the capacity of the energy system cannot be fully utilized due to the uneven solar radiation on the surface of solar cells and the uncertainty of the load caused by the solar UAV near space,this paper proposes a real-time energy optimization scheduling strategy,which aims to minimize the difference in the battery power of each optical storage module at the end of the 24-hour period and maximize the storaged energy by the time of sun set. By constructing the scheduling model and energy forward correction strategy,the goal of fully utilizing the installed power generation and energy storage equipment capacity is achieved. Using Python software to do simulation,the rationality and feasibility of proposed model and scheduling strategy is verified.