Optimization of electric vehicle charging schedule using distributed network computing

Abstract

In recent years, the number of electric vehicles has increased dramatically, and the forecast shows that this speed of growth will accelerate even more over the next ten years. The significant growth in the number of electric vehicles indicates a large energy demand in the power distribution system. Without a well-organized schedule for charging electric vehicles, users will typically apply immediate charging, which burdens the system and damages equipment. To reduce the peak demand of the system, a process of scheduling electric vehicle charging should be established for reducing the peak demand. This thesis proposes a distributed computing process for solving the electric vehicle charging schedule problem. This process models the electric vehicle charging availability to determine the charging rate. Also, this process can ensure that the charging schedule meets the energy demand of individual vehicles and the power limit of the power distribution system.