Recently, electric vehicles (EVs) that use energy storage have attracted much attention due to their many advantages, such as environmental compatibility and lower operating costs compared to conventional vehicles (which use fossil fuels). In a microgrid, an EV that works through the energy stored in its battery can be used as a load or energy source; therefore, the optimal utilization of EV clusters in power systems has been intensively studied. This paper aims to present an application of an intelligent control method to a bidirectional DC fast charging station with a new control structure to solve the problems of voltage drops and rises. In this switching strategy, the power converter is modeled as a DC fast charging station, which controls the fast charging of vehicles with a new constant current or reduced constant current method and considers the microgrid voltage stability. The proposed method is not complicated because simple direct voltage control realizes the reactive power compensation, which can provide sufficient injected reactive power to the network. As a result, the test is presented on a fast charging system of electrical outlets with a proposed two-way reactive power compensation control strategy, in which AC/DC converters are used to exchange two-way reactive power to maintain the DC link voltage as well as the network bus voltage in the range of the basis. This charging strategy is carried out through the simulation of fast charge control, DC link voltage control, and reactive power compensation control to adjust the voltage and modify the power factor in the MATLAB software environment and is then verified. Finally, the results indicate that the proposed method can charge with high safety without increasing the battery’s maximum voltage. It can also significantly reduce the charging time compared to the common CV mode.

In this paper, the optimal allocation problem of the Electric Vehicles Parking Lots and DG in micro-grid is studied as a novel optimization problem. In the proposed problem, the different factors including the technical and the economic issues are considered for achieving a realistic solution. In addition, FACTS devices have been added to the network by considering the costs of installation, repair and maintenance, and their effecton the technical and economic parameters of the network has been investigated. Also, how to optimally charge and discharge storage devices and how to optimally inject active or reactive power by charging stations to improve energy management in the network has been studied. In order to evaluate the impact and reduce economic costs, the optimal number of distributed renewable energy, storage and FACTS equipment along with the optimal number of parking lots with Existence of different number of electric vehicles in the survey and microgrid network has been designed using a two-stage optimization method. The method is simulated on the standard IEEE 33 bus. The results show that the optimal power factor of parking lots can be determined during the unloading of vehicles in such a way that the technical parameter of the network is improved.