Ebadollah Amouzad Mahdiraji - Department of Engineering, Sari Branch, Islamic Azad University, Sari, Iran

With an increasing number of electricity companies’ subscribers, the necessity of restructuring these systems is an important issue that cannot be overlooked. In this regard, a solution that has become interesting subject for network designers is the evolution of the traditional power grids into intelligent power grids. One of the influential elements in these networks is electric vehicles, which are considered by both researchers and consumers. They are Eco-friendly and provide the needed comfort. Given the fact that the presence of these vehicles is growing in the networks, an important challenge which is posed is their exploitation as an actor in the secondary services market of the power networks. So that it is possible to achieve peak shaving in the power system by optimally scheduling the charging and discharging time of these vehicles. In this paper, PSO and ACO algorithms were used as optimizing tools for charging and discharging time of the vehicles and then the DVR was applied as the stabilizer of the network asymmetry.

V۲G system, Electric Vehicle, Intelligent power grid, particle swarm optimization algorithm (PSO), Economic Dispatch