Optimal Siting and Sizing Approach of Plug-in Electric Vehicle Fast Charging Station using a Novel Meta-heuristic Algorithm

As climate change becomes a significant concern, fostering the use of electric vehicles (EVs) has emerged as an effective remedy to the pollution caused by fossil-fuel transportation. Placing charging stations with growing charging infras-tructure is significant to EVs' accessibility and future viability. The location of fast-charging stations (FCSs) and their size are critical for the distribution network. Therefore, this paper focuses on FCS's optimal placement and size in the distribution network. Moreover, the energy loss cost for the distribution network and transportation loss cost from the demand point to FCSs for charging the battery is considered decision functions to optimize the location and size of FCSs. In addition, integrating PV distributed generations (PVGs) is also urged for the optimal location and size of FCSs to reduce the grid dependency due to the additional demand for charging. A meta-heuristic opti-mization approach is proposed for the optimal solution to locate the FCS with size. Furthermore, the IEEE-34 bus distribution system with PVDGs integration is suggested to implement the proposed optimization problem. For this work, the direct load flow technique is employed to analyze the load flow of the proposed IEEE 34 distribution system. The presented distribution system's active power flow and bus voltages are investigated for two recommended cases.