Electric vehicles in a smart grid: a comprehensive survey on optimal location of charging station

• Published in: IET Smart Grid Vol. 3; no. 3; pp. 267 - 279
• Main Authors: Bilal, Mohd, Rizwan, Mohammad
• Format: Journal Article
• Language: English
• Published: Durham The Institution of Engineering and Technology 01.06.2020; John Wiley & Sons, Inc; Wiley
• Subjects: air pollution; B0260 Optimisation techniques; B8110B Power system management, operation and economics; B8110D Power system planning and layout; B8520 Transportation; battery powered vehicles; burning; C7410B Power engineering computing; charging station; Construction costs; CS placement; Electric vehicle charging; Electric vehicles; Electricity distribution; fossil fuels; Global warming; government policies; Greenhouse gases; greenhouse gases motivates policymakers; ideal placement; Infrastructure; old infrastructure; optimal location; optimal placement; optimisation; Placement; Planning; power engineering computing; power system economics; power system planning; research outcomes; Review Article; scale penetration; Smart grid; smart power grids; transportation; transportation vehicles; India; power system planning; smart grid; government policies; battery powered vehicles; electric vehicles; CS placement; smart power grids; research outcomes; optimal location; power engineering computing; power system economics; transportation; burning; ideal placement; fossil fuels; optimisation; scale penetration; greenhouse gases motivates policymakers; charging station; air pollution; optimal placement; old infrastructure; transportation vehicles
• ISSN: 2515-2947; 2515-2947
• DOI: 10.1049/iet-stg.2019.0220

The burning of fossil fuels and the emission of greenhouse gases motivates policymakers to think about the transition in their approach towards electric vehicles (EVs) from conventional ones. Transportation vehicles’ electrification drives the attention of various researchers and scientists towards the emergence of charging stations (CSs). CS placement is a matter of great concern for large scale penetration of EVs. Old infrastructure causes several challenges in planning the ideal placement of the CS since EVs have not prevailed in recent years. Recently, a lot of studies have been performed on CS placement, which attracts the attention of researchers. Various approaches, objective functions, constraints and range of optimisation techniques are addressed by researchers for optimal placement of CS. This study provides the research outcomes in respect of the placement of CS over the past few years based on objective functions, solution methods, geographic conditions and demand-side management.