Performance Optimization and Analysis of Combined Cooling, Heating and Power System Based on Multi-objective Sailfish Optimization Algorithm

For the sake of obtaining the optimal configuration scheme of combined cooling, heating and power systems, a multi-objective optimization method called multi-objective sailfish optimization was developed in this study. After that, its performance was tested using the classic test function. Finally, a multi-objective sailfish optimization algorithm is used to solve the system equipment installation scheme under the following electric load (FEL) strategy and following thermal load (FTL) strategy. The simulation results show that the system under the FEL strategy has better comprehensive performance.