Aiming at the insufficient population diversity of the particle swarm optimization algorithm and easy to fall into the problem of local optimization, this paper proposes a power system environment based on the improved bare-bones multi-objective particle swarm optimization (IBBMOPSO) The solution method of economic dispatch. IBBMOPSO adopts a non-linear decreasing strategy of search weight to improve the position update mode of the bare-bones particle swarm, and designs different position update strategies for the worst particles in different search stages to balance the algorithm"s global search ability and local search ability. IBBMOPSO selects the global optimal solution according to the particle crowding distance, and uses the distance evaluation index to select the compromise optimal solution. Finally, the 6-machine IEEE30-node standard test system is simulated and compared with other algorithms. The results show that IBBMOPSO is superior to other algorithms in solving power system environmental economic dispatching problems, and has good feasibility and effectiveness.