Generation maintenance scheduling based on multi-objective particle swarm optimization considering carbon emissions

With the development of society, the carbon emissions generated by the power system grow rapidly. Under this consideration, this paper presents a multi-objective generation maintenance scheduling (GMS) model considering carbon trading. The model includes three types of objectives: system reliability, system total cost, and regional carbon emissions. In this paper, the relationships among these objectives are analyzed, in addition, the consequences of changes in the price of carbon trading are also described. Simulation results show that multi-objective particle swarm optimization (MOPSO) can solve the model well. The simulation results also reveal that the system stability conflicts with other objectives, and there is a positive correlation between the total cost and the carbon trading cost. The simulation also indicates that a moderate price for carbon trading is better than a high price or a low price.