Research on capacity configuration method of integrated energy system considering V2G energy storage characteristics

Abstract With the rapid increase in the number of electric vehicles (EVs), their potential as mobile energy storage units has garnered significant attention. Vehicle-to-grid (V2G) technology, which enables bidirectional interaction between vehicles and the grid, presents new opportunities for the development of integrated energy systems (IES). To address the issue of energy storage capacity configuration after integrating EVs into IES, a two-layer optimization model has been established for IES capacity configuration that considers V2G energy storage characteristics. The outer layer optimizes a single objective, which is the sum of the IES operating cost and the average investment cost of the energy storage system over its lifecycle. The inner layer optimizes multiple objectives, including IES operating cost, wind and solar curtailment rate, and EV charging cost. The research results demonstrate that the proposed capacity configuration optimization model effectively optimizes the system’s energy storage capacity and significantly improves the economic benefits for all stakeholders.