The increasing awareness of environmental protection and the rising penetration rate of wind power have led the power sector to put forward higher requirements for the economic dispatch of wind power-containing systems. To reduce pollutant emission and promote wind power consumption while minimizing generation costs, this paper establishes a wind-fire multi-stochastic variable economic dispatch model considering environmental and economic indices, in which the objective function takes into account the costs of thermal and wind power generation, and of wind abandonment penalties, and pollutant gas emission. This paper adopts the multi-objective atomic orbital search algorithm (MOAOS) for model analysis. This adds archiving, grid and leader selection mechanisms on the basis of the traditional atomic orbital search algorithm (AOS), and has strong multi-objective optimization execution capability. The simulation results validate the feasibility of the proposed model and the effectiveness of the multi-objective stochastic painting optimization algorithm in solving such problems by combining the modified IEEE30-bus algorithm with simulation analysis.