Abstract: With the continuous expansion of renewable energy installation scale, it has become a new challenge to improve the level of renewable energy accommodation and reduce the rate of renewable energy abandonment. Accurate assessment of the capacity of renewable energy accommodation in the power grid may provide a basis for the plannning and development of renewable energy. Firstly, according to the characteristics of the transmission network, this paper uses an approximate method to linearize the power flow of the transmission network. Secondly, on the basis of the traditional time series production simulation model, this paper adds the power flow constraints of the transmission network, and proposes a time series production simulation model that considers the linear power flow constraints of the transmission network, and establishes a crucial time section selection strategy based on the iterative method. This makes it possible to meet the feasibility of the full-time power flow by considering only the crucial section power flow constraints in the time series production simulation optimization model, and improves the efficiency of solving the time series production simulation model. Finally, taking the IEEE 30 node as a standard example, the CPLEX solver is called through the MATLAB and the YALMIP to solve the model, and the annual renewable energy accommodation level of the system is evaluated. The simulation results prove the accuracy and feasibility of the model.