Optimal Configuration Model of Energy Storage System Based on Digital Twin

The grid-connection of distribution generations may bring some impacts on the safe and stable operation of system, due to the unpredictable and variable nature of their output. Advancements in large-capacity energy storage technology have the potential to enhance power support, optimize system power distribution, and reduce energy loss. Consequently, exploring the optimal configuration approach for energy storage system is very important. In this paper, an optimization configuration platform for energy storage system combined with digital twin and high-performance simulation technology is proposed. With the platform, the virtual image of the actual power grid can be established and the storage system can be timing-simulated and controlled. An actual distribution system was tested, and results showed that the grid connection strategy of the energy storage system could be efficiently determined through the platform. The optimal configuration of the energy storage resulted in reduced operating costs and improved utilization of distributed energy resources, demonstrating the effectiveness and usefulness of the platform. The proposed method offers certain reference significance for the development of energy storage system.