An optimal scheduling method of integrated energy system in industrial parks considering carbon trading and electric vehicle charging load

Abstract

Abstract In order to achieve an objective of carbon peaking and carbon neutrality and optimize the multi-energy utilization in industrial parks, an optimal scheduling method of integrated energy system for industrial parks is proposed. Firstly, a comprehensive energy system of industrial parks is designed based on the characteristics of energy diversification, which gathers electricity, heat, and hydrogen energy in industrial parks. Then, using electric vehicles as flexible and adjustable loads to achieve the scheduling process to solve the problem of weakly load adjustability. Considering the carbon trading mechanism and the EV charging load adjustment ratio, an economic mathematical model with the objective function of minimum system total operating cost is established. Finally, the CPLEX solver is transferred by MATLAB to comparative and analyze four schemes. It shows that the carbon emission by 4.5% in daily operation with the proposed scheduling strategy, and the operating costs can be reduced by 1.54% when the load ratio of EV is adjusted below 30%. It can be seen that the cost is reduced, which provides a effective method for the optimal scheduling of energy systems in industrial parks.