Multi-objective optimal scheduling method of combined cooling, heating and power supply micro-energy network under FEM-SPH coupling

To enhance the multi-objective scheduling capability of cogeneration microgrids, this study proposes a novel multi-objective optimal scheduling method based on FEM-SPH coupling. A coupling control model integrating physical energy storage and chemical energy storage is established for the combined cooling, heating, and power (CCHP) micro-energy network. By analyzing the rated power and energy efficiency of the micro-energy network, adaptive scheduling is achieved through decoupling analysis of stored energy and its associated power. Utilizing power and energy density characteristics, FEM-SPH coupling control is implemented for cogeneration microgrid scheduling. Based on grid load demand and self-contained energy storage analysis, a comprehensive operational cost control framework is developed for the multi-objective optimization process. The multi-objective optimal scheduling of the CCHP micro-energy network is realized by incorporating adaptive adjustments in power-to-gas conversion and gas turbine operation. Simulation results demonstrate that the proposed method exhibits superior energy matching, strong optimization capability, and high system reliability, while improving the operational efficiency of each unit. The application of this method effectively balances the load demand of the energy network.