Optimal Scheduling Strategy of Charging Station Considering Reactive Power of Electric Vehicle Charging Pile

Abstract

With the popularity of electric vehicles, the impact of large-scale electric vehicle access to the distribution network has become more obvious. In this context, a real-time rolling optimization scheduling strategy for charging stations that takes into account the reactive power response of electric vehicle charging piles is proposed, fully considering the space-time distribution characteristics of electric vehicles and the active and reactive interaction capabilities between charging stations and the grid. Establish a two-layer model to optimize the scheduling of the active and reactive power of the charging station in time and space. The quadratic programming and the second-order cone programming are used to solve the upper and lower models respectively. Finally, the improved IEEE33 node distribution network system is used for simulation. The simulation results show that the strategy can effectively reduce the system load peak-valley difference and reduce the system network loss, improve system voltage level, etc.