Optimal siting and sizing of electric vehicle public charging stations considering smart distribution network reliability

Abstract

Green House Gases (GHG) emissions due to oil-based fuel cars with Internal Conventional Engines (ICEs) in metropolitan areas is still a challenge. Plug-In Electric Vehicles (PEVs) eventually will become the economical choice for transportation due to their significant advantages of using flexible fuels, convenience, safe charging, high performance and cost saving. However, inappropriate place and size of aggregated PEVs may threaten power system reliability. Therefore, optimal planning of charging stations is required to maintain power system reliability. On the other hand, candidate places for placing charging stations should respect city traffic layout as well as electrical distribution networks. In this paper, an approach to optimal siting and sizing of public charging station considering traffic constraints of city is proposed. The objective function minimizing Energy Not Supplied (ENS) and charging station's related costs. Candidate places of charging stations are optimally found in 33 bus radial distribution network by Genetic Algorithm. Results reveal optimal location and size of charging stations in order to maintain power system reliability.