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      Integrating ultra-fast charging stations within the power grids of smart cities: a review

      review-article
      ,
      IET Smart Grid
      The Institution of Engineering and Technology
      battery powered vehicles, power grids, power supply quality, smart cities, power system planning, electric vehicle charging, stochastic processes, smart cities, urban sectors, industry vision, future PEV, stochastic load characteristics, electric capacities, UFC stations, detrimental impacts, grid instabilities, deteriorated power quality, conventional charging stations, stochastic characteristics, UFC planning, power grid perspective, plug-in electric vehicles, energy efficiency, location planning, power density, environmental impact, ultra-fast charging stations, electricity supply infrastructure, grid asset depreciation mitigation, renewable energy source planning, UFC integration, traffic flow, end-user behaviour

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          Abstract

          Plug-in electric vehicles (PEVs) have become a key factor driving towards smart cities, which allow for higher energy efficiency and lower environmental impact across urban sectors. Industry vision for future PEV includes the ability to recharge a vehicle at a speed comparable to traditional gas refuelling, i.e. <3 min. per vehicle. Such a technology, referred to as ultra-fast charging (UFC), has drawn much interest from research and industry. However, UFC poses unprecedented challenges to existing electricity supply infrastructure due to its large power density, impulsive, and stochastic load characteristics. Planning the locations and electric capacities of UFC stations is critical to preventing detrimental impacts. In particular, efforts must be made of mitigate grid asset depreciation, grid instabilities, and deteriorated power quality. The authors first review planning methods for conventional charging stations. Next, they discuss outlooks for UFC planning solutions by drawing an analogy with renewable energy (RE) source planning. This analogy is based on the similar power density and stochastic characteristics of RE and UFC. While this study mainly focuses on UFC planning from the power grid perspective, other urban aspects, including traffic flow and end-user behaviour, are examined for feasible UFC integration within smart cities.

          Most cited references60

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          Battery materials for ultrafast charging and discharging.

          The storage of electrical energy at high charge and discharge rate is an important technology in today's society, and can enable hybrid and plug-in hybrid electric vehicles and provide back-up for wind and solar energy. It is typically believed that in electrochemical systems very high power rates can only be achieved with supercapacitors, which trade high power for low energy density as they only store energy by surface adsorption reactions of charged species on an electrode material. Here we show that batteries which obtain high energy density by storing charge in the bulk of a material can also achieve ultrahigh discharge rates, comparable to those of supercapacitors. We realize this in LiFePO(4) (ref. 6), a material with high lithium bulk mobility, by creating a fast ion-conducting surface phase through controlled off-stoichiometry. A rate capability equivalent to full battery discharge in 10-20 s can be achieved.
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            The Impact of Charging Plug-In Hybrid Electric Vehicles on a Residential Distribution Grid

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              • Article: not found

              Analytical Approaches for Optimal Placement of Distributed Generation Sources in Power Systems

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                Author and article information

                Contributors
                Journal
                IET-STG
                IET Smart Grid
                IET Smart Grid
                The Institution of Engineering and Technology
                2515-2947
                3 April 2018
                19 April 2018
                April 2018
                : 1
                : 1
                : 3-10
                Affiliations
                Department of Electrical and Computer Engineering, The Ohio State University , 2015 Neil Avenue, Columbus, USA
                Article
                IET-STG.2018.0006 STG.2018.0006.R1
                10.1049/iet-stg.2018.0006
                5ff80e46-fdde-42e1-ba9f-d44d27eb9d1d

                This is an open access article published by the IET under the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/3.0/)

                History
                : 8 February 2018
                : 6 March 2018
                : 21 March 2018
                Page count
                Pages: 0
                Categories
                Review Article

                Computer science,Engineering,Artificial intelligence,Electrical engineering,Mechanical engineering,Renewable energy
                industry vision,battery powered vehicles,power grids,power supply quality,smart cities,power system planning,electric vehicle charging,stochastic processes,urban sectors,future PEV,stochastic load characteristics,electric capacities,UFC stations,detrimental impacts,grid instabilities,deteriorated power quality,conventional charging stations,stochastic characteristics,UFC planning,power grid perspective,plug-in electric vehicles,energy efficiency,location planning,power density,environmental impact,ultra-fast charging stations,electricity supply infrastructure,grid asset depreciation mitigation,renewable energy source planning,UFC integration,traffic flow,end-user behaviour

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