Energy storage capacity configuration and optimisation of electric/thermal integrated energy systems in the context of electric vehicle clusters

In order to improve the energy efficiency and economy of the system, a double layer optimisation model was proposed to optimise the allocation of electric/thermal energy storage capacity in a dual optimisation integrated energy system. The innovation of the research lies in the dual optimisation of energy system operation strategies, combined with energy scheduling and energy storage capacity decision making. The experiment showed the total operating cost of the electric energy storage system and the disorderly charging Plan B for electric vehicles is 2210 yuan, and the rate of wind and light abandonment was reduced by 5.72%. The total operating cost of Plan C for the electric energy storage system, electric vehicle disorderly charging and thermal storage system is 2021 yuan. The total operating cost of Plan D, which considers the impact of Vehicle-to-Grid as a power storage system on energy configuration and scheduling, is the lowest at 1700 yuan. The average charging cost and daily average investment cost of the energy storage system were both reduced compared to Plan C. Electric vehicle V2G not only reduces its own electrical load, but also plays a positive role in system operation and vehicle owner charging economy.