Abstract: The energy internet, which takes the integrated energy system as the core, is an important way to solve the energy crisis and environmental pollution problems. Taking the community energy internet as the research object, this paper proposes a synergic optimization model containing shared energy storage, CHP, and PV generation. Firstly, models are built for the important equipment and power load in the integrated energy internet; and then, different models are built respectively for the electricity purchase cost from the power grid, the energy purchase cost from community micro operator, and the leasing cost from storage system, and accordingly, a synergic optimization model is founded aiming at the global economic optimization of the users; furthermore, the coalition cost is divided among users based on the daily energy consumption amount; lastly, a case study is conducted to verify the effectiveness of the proposed method. The simulation result shows that the proposed approach can schedule energy consumption reasonably to reduce the energy cost of users.

Key words: community integrated energy system, community operator, synergic optimization, shared energy storage, improved PSO