With the acceleration of global energy transformation, the penetration rate of distributed generation (DG) in distribution system is increasing, which brings new challenges and opportunities to the operation and scheduling of distribution system. The intermittence, volatility and uncertainty of distributed generation make the scheduling problem of distribution system more complicated, and it is necessary to comprehensively consider the multi-objective balance of operation cost, environmental protection cost and system reliability. In this paper, a multi-objective optimization scheduling method based on Non-Dominated Sorting Dung beetle optimizer (NSDBO) is proposed. By constructing a multi-objective optimization model, considering the operation cost and environmental protection cost, and using the global optimization ability of NSDBO algorithm, the optimal scheduling scheme is found. The results show that the NSDBO algorithm can efficiently solve the multi-objective optimization problem, quickly converge to the Pareto front, and maintain the uniform distribution of the solution set.