In response to the severe energy and environmental issues, CO2 emission reduction and low-carbon development are inevitable. China has become the biggest CO2 emitter in the world since 2006. As a major CO2 emission source in China, the power industry is facing greater pressure for carbon emission abatement. By applying various low-carbon power technologies andmechanisms, the potential for CO2 emission reduction in power systems is considerable. This paper proposes apseudo-sequential Monte Carlo simulation method for the low-carbon benefit evaluation of distribution system including distributed wind turbines, solar array and battery energy storage systems. The hourly sequential models andstate variation models for wind turbines, solar array and battery are established. The non-power components are sequentially sampled and the components of the wind turbine, the solar array and the battery are non-sequentially sampled. The failure modes and effect analysis (FMEA)procedure for the system are discussed and the heuristicload shedding approach is used, then the lowcarbon benefit evaluation procedure is illustrated. Based on this, the system state transition sampling method for calculating the loss of expected energy index with high DG penetration isproposed. The state transition models for non-active elements and DGs are established. The validity of the proposed method is demonstrated by a study case. The method can be used for the low-carbon benefit analysis on DG penetration distribution networks.