Game-based Multi-objective Optimization for Economic and Environmental Integrated Energy Systems

With the international community's growing consensus on reducing greenhouse gas emissions, regulations increasingly mandate the energy industry to minimize environmental impacts. Consequently, energy systems now aim to achieve both economic and environmental objectives. This paper focuses on the operation of Community Integrated Energy Systems (CIES), proposing a multi-objective optimization model that considers both economic cost and carbon emissions. By employing cooperative game theory and the ADMM algorithm, the model effectively balances these objectives. Example simulations demonstrate the necessity and feasibility of cooperation among parks, showing significant reductions in both economic costs and carbon emissions.