Dynamic Load Optimization System of Wireless Charging Pile for Smart Grid

Against the backdrop of a sharp increase in the number of electric vehicles, the demand for wireless charging piles has also grown. Therefore, it is particularly important to regulate the dynamic load fluctuations and instability of grid connection to reduce the impact on the power grid. Through employing technical interventions, the issue of instability and fluctuations in the power grid can be effectively resolved. This study focuses on the coupled application of wireless charging piles in various scenarios within DC microgrids. In response to this issue, this study adopted NiZn ferrite core with low inductance loss. Under the collaborative optimization strategy NSGA-II algorithm, AI and digital twin technology were integrated to use LSTM model to predict charging peaks and valleys, and electricity prices were determined based on load. The voltage fluctuations of grid nodes tended to stabilize, reducing operating costs and improving operational efficiency and revenue. A power system with balanced supply and demand is the development direction. The peak and off-peak periods of power generation and consumption in the power system are unstable. The coupling mode of the photovoltaic storage DC microgrid and charging piles is introduced. Through the dynamic electricity price response mechanism, the discharge electricity price of electric vehicles is increased during the high-load period of the power grid to promote the reverse power supply of electric vehicles to the power grid. Reducing the charging electricity price during the off-peak load period can increase the underutilized electricity consumption and promote the stability of the power system load.