A Semi-Intelligence Algorithm For Charging Electric Vehicles

The penetration of Electric Vehicles (EVs) in Distribution Networks (DNs) has many challenges for distribution companies, such as voltage drop, network losses, etc. To overcome these problems, it is recommended to use coordinated charging methods. However, these methods require high-cost telecommunication, measurement, and processing infrastructure and can only be implemented in smart grids. This article introduces a Semi-Smart Method (SSM) to charge EVs that does not require complex infrastructure. This method, using a simple and inexpensive local automation system, charges EVs during off-peak hours of the DN, thus improving its parameters. Since EVs are charged at low-traffic time intervals, the proposed method benefits EV owners. To get real results, 4- wire DN is considered to model the effect of the neutral wire. To confirm the effectiveness of the proposed method, it is compared to various uncontrolled loading methods. A standard 19-bus test system is used for simulations.