Optimal scheduling of integrated energy systems for eco-economic operation

In the context of rising environmental awareness and the pursuit of sustainable development, it is critical to advance low-carbon economies, especially within the field of energy system management. Our research is dedicated to enhancing the efficiency of Combined Cooling, Heating, and Power (CCHP) systems to meet both cost and environmental objectives. We have devised an optimized CCHP model that employs the particle swarm optimization algorithm to manage complex constraints and improve solution accuracy. Through case studies, we have verified that our model significantly increases the system’s eco-efficiency and operational excellence.