As an important part of smart grid optimization, the optimal scheduling of the integrated system of photovoltaic (PV) storage and charging is of great significance to reduce energy consumption and environmental pollution. The development goal of the system is not only to meet the basic needs of electricity supply, but also to improve economic benefits and environmental protection. This article proposes a multi-objective optimization scheduling model for PV storage and charging integration that comprehensively considers system operating costs and environmental protection. At the same time, the Non-Dominated Sorting-Dung Beetle Optimizer (NS-DBO) algorithm was used to solve the optimization model. Firstly, this paper establishes a mathematical model for the multi-objective optimal scheduling problem of the system. Then, according to the principles and steps of the NS-DBO, the solution set is continuously updated and a better solution is evolved through cyclic iteration. Finally, the effectiveness and superiority of NS-DBO in solving the multi-objective optimal scheduling problem of the system were verified through case analysis. The results indicate that the model can effectively reduce electricity costs and environmental pollution, and promote the optimized operation of photovoltaic storage and charging integrated systems.