Multi-Objective Optimization Operation of CCHP System Under Continuous Shock Load Using Time-Varying Weighting Factors

Improving the energy efficiency and maintaining the energy balance of integrated energy systems is a common concern. This study investigated the optimal operation of combined cooling, heating, and power (CCHP) systems under conventional and impact load scenarios. For the conventional operation, a time-varying weight factor was proposed to calculate the multi-objective function to optimize the system scheduling under off-grid and grid-connected modes. For the impact load scenario, the characteristics of the energy storage device was reasonably utilized to stabilize the impact of power. The simulation results revealed that the establishment of the time-varying weight factor optimized the energy economy level of the CCHP system and significantly improved its energy efficiency. Particularly, the energy storage device can cut off the impact peak when the system is under continuous impact load, and improve the energy supply reliability of the system.