Research on Vehicle-to-Grid Interaction Optimization of New Distribution System Based on Intelligent Algorithm

This paper proposes a new distribution system vehicle-to-grid (V2G) optimization research method based on Grey Wolf Optimizer (GWO), aiming to improve the energy management efficiency in smart grids. Combining the powerful global search capability of GWO algorithm, this paper designs an improved distribution system optimization model, which can effectively dispatch the charging and discharging behavior of electric vehicles, thereby balancing the grid load and improving energy utilization efficiency. An optimization model containing multiple operating constraints is established and solved by GWO algorithm. Simulation results show that after GWO optimization, the system can significantly reduce the peak and valley load differences, achieve more balanced power distribution, and reduce the operating cost of the distribution system. Specific data analysis shows that compared with traditional optimization methods, the optimization model using GWO algorithm shows great improvements in system response speed, optimization accuracy and energy management effect. This study provides a new technical path for V2G interaction in future smart grids, which will help promote the efficient use of green energy and the further development of smart grids.