An integrated energy system is important in the utilization of renewable energy. Combining biomass energy with an integrated energy system and incorporating flexible loads at various moments into energy dispatch, a source-storage-load multi-objective energy management model driven by the synergy of biogas and photovoltaic power generation systems and a micro gas turbine is constructed. This is to further optimize the output of each part of the system. The optimal configuration of the model is established, taking the internal interaction of the system and fuel costs, penalty costs, equipment investment and operating costs as the optimization goals, and taking the user's comprehensive energy satisfaction, new energy utilization rate and electric energy autonomy as evaluation indicators. Non-linear attack methods, differential mutation, soft encirclement in the Harris hawk optimization algorithm and the algorithm stagnation prevention strategies are used to improve the global search ability of the sailed fish optimizer algorithm (SFO). Comparative analysis of calculation examples shows that the proposed improved algorithm and energy management model effectively improve economic and environmental benefits in different scenarios, and the ISFO algorithm has advantages in global optimization and search accuracy. This work is supported by the Natural Science Foundation of Tianjin (No. 19JCZDJC32100).