Low Carbon Emission Oriented Optimization of Integrated Energy System with CCHP, Wind, Solar and Storage

To address the energy crisis, China is vigorously developing integrated energy systems to achieve multi-energy coordination and mutual support, thereby realizing energy conservation and carbon reduction. This paper focuses on the multi-objective optimal scheduling of combined cooling, heating, and power (CCHP) systems incorporating wind, solar, and energy storage. First, from both economic and carbon emission perspectives, economic and environmental objective functions are established to construct a multi-objective optimal configuration model for the wind-solar-storage integrated CCHP system, along with corresponding constraints. Then, an Enhanced Non-dominated Sorting Genetic Algorithm II (NSGA-II) is proposed. By introducing dominance strength and variance factors, the algorithm’s solving efficiency and solution accuracy are significantly improved. Finally, a simulation analysis is conducted using an operational CCHP system in western Liaoning Province as a case study to validate the effectiveness of the proposed model and method.