Park Integrated Energy System Optimization Considering Carbon Excess Ratio and Electric Vehicle Coupling

Under the “dual carbon” goals, this paper constructs an optimization model of the comprehensive energy system in the park. A stepwise carbon excess rate mechanism and an electric vehicle coupling strategy are proposed: A carbon quota trading system is established based on the baseline method, and the stepwise function is adopted to quantify the cost of excess carbon emissions; Introduce the price demand response and the two-way interaction mechanism of electric Vehicle vehicle-to-grid (V2G) to enhance the flexible regulation ability. Aiming at the uncertainty of wind and solar output, a typical scene set is generated by combining Latin hypercube sampling with the scene reduction method. The goal is to minimize the operating cost and maximize the consumption of renewable energy, and it is solved through the CPLEX solver in the MATLAB platform. Through simulation verification of the proposed models and methods in various scenarios, the simulation results show that under the coupling of the carbon excess rate trading mechanism, the demand response mechanism, and the vehicle-to-grid interaction of electric vehicles, the total daily operating cost of the system decreases by 25.3%, reduce the dual pressure of energy consumption costs and the economic environment, and achieve the coordinated optimization of economic and ecological benefits.