Power System Improvement of Different Coordinated Electric Vehicles Integration Approaches with Superconducting Magnetic Energy Storage

Abstract

Nowadays, electric vehicles have a considerable effect on the electrical system, thus their analysis based on different electric vehicle integration approaches is necessary. This paper exhibits four case studies for electric vehicles with the grid to exhibit their influence on the electrical network and reduce power loss and voltage fluctuation. Furthermore, the growing load demand matters, management and support of active and reactive power, and load balancing are discussed. Fuzzy logic control is applied to estimate the process of the charging/discharging. Moreover, a controlled superconducting magnetic energy storage system is utilized for the power grid which integrates with electric vehicles to the level of load demand during on-peak load and fast charging. A coordinated control between electric vehicles and superconducting magnetic energy storage unit is applied to level the power required by electric vehicles and improve the power system performance. Electricity price is a common coordination signal for both electric vehicles and superconducting magnetic energy storage, which depends on fuzzy control. The simulation results implemented by the Matlab Simulink tool show the effectiveness of the coordination control technique and superconducting magnetic energy storage in minimizing power loss and voltage fluctuation. Besides that, it helps to alleviate the active power and reduce the reactive power provided by the grid.