The biomass energy production and distributed photovoltaic(PV)power generation in rural areas of China have emerged as vital components of the rural energy structure. How to develop rural biomass resources according to local conditions

closely fit the natural conditions

resource endowments

and actual energy needs of rural areas

and improve the energy efficiency of rural PV-biogas coupling utilization is an urgent problem to be solved.In this paper

firstly

the dynamic quantitative modeling of biogas energy system is carried out

a dynamic model of biogas energy system coupled with distributed PV power generation system is established based on improving the low-carbon economic operation demand of PVbiogas virtual power plant in rural areas.Considering the multiple uncertainties of biogas energy system and photovoltaic unit output in rural areas

an uncertainty set is established for PV-biogas energy supply entities.Furthermore

considering the lowcarbon operation cost of the PV-biogas virtual power plant

based on the day-ahead scheduling

a data-driven real-time scheduling method based on the deep deterministic policy gradient(DDPG)algorithm is proposed.With the minimum lowcarbon operation cost and scheduling cost of the virtual power plant as the optimization goal

the centralized and distributed PV and biogas resources in the PV-biogas virtual power plant in rural areas are integrated. Finally

the rationality and effectiveness of the proposed low-carbon scheduling method for PV-biogas virtual power plant are verified by the example results.