Abstract: China has actively advocated production and consumption of clean and sustainable energy such as biomass on the fast track to achieve goal of carbon peak and carbon neutralization.Optimization of integrated energy system configuration including biomass has gradually become a research hotspot.Research on biomass electric heating and gas fertilizer multi-energy flow integrated energy system was carried out.Firstly，static model of key equipment in the system was established.Secondly，Monte Carlo sampling method was used to describe uncertainty factors such as user load and energy price.On this basis，aiming at maximizing annual profit，an integrated energy system configuration planning model under uncertainty was established and solved by artificial bee colony optimization algorithm.Finally，influence of uncertainty factors on configuration optimization of integrated energy system was studied.Results showed that operation parameters of equipment in energy system were changed after two-stage stochastic programming model was used to deal with uncertain factors in integrated energy system.Compared with determined conditions，flexibility of the system was improved by sacrificing certain economy.