To speed up the realization of"Carbon Peaking and Carbon Neutrality Goals",this paper constructed a system with the complementation of renewable energy sources that include wind,solar,and biomass.The physical structure of the system was designed and the operation strategy was determined as"heating by electricity"in the first place.Based on this,a dynamic system modeling considering part-load performance was proposed to deal with the problems of poor accuracy and big errors occurring in traditional steady-state modeling.Finally,the system configuration was optimized by combining NSGA-Ⅱ(Non-dominated Sorting Genetic Algorithms)with indicator weighting.The results have shown that the dynamic model provides better guidance for practical system construction than traditional ones,and that its overall properties improve by 52.2%and 14.6%after optimization compared to the two steady-state models,demonstrating its ability to better optimize the configuration.