Optimal Scheduling Strategy for Electric Vehicle Charging Based on Particle Swarm Optimization Algorithm

Abstract

The development of power demand side resources provides new opportunities and challenges for the advancement of energy revolution. Flexible loads such as electric vehicles provide a large number of load regulation resources for the power demand side, while distributed energy sources provide energy supply for the power demand side. Reasonable utilization of these flexible loads and energy supply facilities will be conducive to promoting the balance between supply and demand of the power demand side, promoting the development of new energy and improving the social and economic benefits. Considering the resource characteristics of electric vehicles and distributed energy, this paper sets up an optimal scheduling strategy based on particle swarm optimization algorithm. The grid-connected consumption of distributed energy is realized through charging and discharging load regulation of electric vehicles, which effectively saves the grid-connected cost of distributed energy and improves the market income of distributed energy operators and electric vehicle operators.