Multi-objective Optimization for Combined Cooling Heating and Power System Operation Based on NSGA-II Algorithm

In recent years, the Combined Cooling Heating and Power (CCHP) system has received extensive attention and applications. Nowadays, the pursuit of green and sustainable development of energy development needs to ensure the system economy while ensuring the energy saving and environmental of the system, so the multi-objective optimization research of CCHP system has been paid attention and this paper will comprehensively consider economic goals and environmental objectives, and carry out multi-objective optimization of the energy station CCHP system. Aiming at the problem that multiple objectives cannot achieve the optimal at the same time, it is proposed to use Pareto theory to solve the problem, and the Non-dominated Sorting Genetic Algorithms-II (NSGA-II) based on Pareto theory are used to optimize and solve it. Finally, experiments verify that the total daily operation cost and carbon dioxide treatment cost of the system are reduced after optimization.