Abstract：In the context of dual carbon，carbon trading mechanism and various energy complementary power

generation mechanism are important mechanisms for China to achieve carbon emission reduction goals and

sustainable development. A multi-energy system optimization model was proposed that takes into account carbon

trading to reduce carbon dioxide emissions while relieving the pressure of thermal power unit peaking. Firstly，a cost model of carbon trading was constructed based on carbon emissions，taking into account coal consumption cost，fuel input and loss cost and environmental cost，to form an optimal objective function and linearize it by segments.Secondly，the model for hydro-thermal-wind-photovoltaic power system was constructed. In the first stage，with the objective of minimizing net load fluctuation，the generation capacity of each hydropower station of the terrace was calculated using the moth search（MS）algorithm，and the daily load output curve was optimized. In the second stage，with the objective of minimizing the integrated cost and describing the stochasticity of wind power with the help of scenario method，a dispatching model of power system considering carbon trading mechanism was constructed.Finally，the validity of the proposed model was verified in a modified IEEE 7-machine 57-bus system.

      Key words：tiered scheduling；auxiliary peaking；hydro-thermal-wind-photovoltaic power system；carbon

trading mechanism；moth search（MS）algorithm