Electric vehicles in a smart grid: a comprehensive survey on optimal location of charging station. Issue 3 (22nd April 2020)

• Record Type: Journal Article
• Authors: Bilal, Mohd; Rizwan, Mohammad
• Is Part Of: IET smart grid. Volume 3:Issue 3(2020)
• Page Start: 267
• Page End: 279
• Publication Date: 2020-04-22
• Subjects: optimisation -- transportation -- air pollution -- government policies -- power engineering computing -- smart power grids -- fossil fuels -- battery powered vehicles -- power system planning -- electric vehicles -- power system economics; charging station -- burning -- fossil fuels -- greenhouse gases motivates policymakers -- electric vehicles -- transportation vehicles -- CS placement -- scale penetration -- old infrastructure -- ideal placement -- optimal placement -- research outcomes -- smart grid -- optimal location; B0260 Optimisation techniques -- B8110B Power system management, operation and economics -- B8110D Power system planning and layout -- B8520 Transportation -- C7410B Power engineering computing; Smart power grids -- Periodicals; Computer science -- Periodicals; Energy industries -- Periodicals; Broadcasting -- Periodicals; 333.79110285
• DOI: 10.1049/iet-stg.2019.0220
• Languages: English
• ISSNs: 2515-2947

Abstract

Abstract : 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.