Skip to main content
SpringerLink
Log in

A Comprehensive Review on Fast Charging Stations Deployment for Electric Vehicles

  • Conference paper
  • First Online:
Intelligent Computing Techniques for Smart Energy Systems

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 862))

Abstract

The depletion of fossil fuels, strict environmental laws, and advancements in electric motors and storage technologies envisages the global acceptance of electric vehicles (EVs). The high growth in EVs may be expected in near future on account of fast and smooth acceleration, pollution-free operation, low running, and maintenance costs. The growing market of EVs imposes challenges behind the integration of fast charging stations (FCSs) in present distribution systems. Since EVs poses significant loading on the distribution systems, their integration alters distribution flows. This may reflect a negative impact on efficiency, node voltage, load profiles, reliability, protection, and security of the distribution system unless FCSs being allocated by considering these vital issues related to the system operation. A lot of work has been reported in the literature about the allocation of FCSs while addressing a variety of objectives and is successfully solved using different optimization techniques. This paper attempts to provide a brief literature review and an overview of recent research directions about the allocation of FCSs in primary distribution systems. The paper also throws some light on the impacts and issues of EVs integration which may be commonly confronted during system operation and also presents some futuristic directions for further research in this area.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 219.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 279.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 279.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Yang Q, Sun S, Deng S, Zhao Q, Zhou M (2018) Optimal sizing of PEV fast charging stations with Markovian demand characterization. IEEE Trans Smart Grid 10(4):4457–4466

    Article  Google Scholar 

  2. Guo S, Zhao H (2015) Optimal site selection of electric vehicle charging station by using fuzzy topsis based on sustainability perspective. Appli Energy 158:390–402

    Article  Google Scholar 

  3. Pal R, Chavhan S, Padmanaban S, Sayeed S (2021) A comprehensive analysis of electric vehicle charging station infrastructure in an urban area

    Google Scholar 

  4. Tie SF, Tan CW (2013) A review of energy sources and energy management system in electric vehicles. Renew Sustain Energy Rev 20:82–102

    Article  Google Scholar 

  5. Gjelaj M, Arias NB, Traeholt C, Hashemi S (2019) Multifunctional applications of batteries within fast-charging stations based on EV demand-prediction of the users’ behaviour. J Eng 18:4869–4873

    Google Scholar 

  6. Islam MM, Mohamed A, Shareef H (2015) Optimal allocation of rapid charging stations for electric vehicles. In: 2015 IEEE student conference on research and development (SCOReD), pp 378–383. IEEE

    Google Scholar 

  7. Celli, G, Mocci S, Pilo F, Soma GG, Cicoria R, Mauri G, Fasciolo E, Fogliata G (2013) Distribution network planning in presence of fast charging stations for EV

    Google Scholar 

  8. Vashisth S, Agrawal PK, Gupta N, Naizi K, Swarnkar A (2020) PEV traffic-based planning attributes for fast charging stations. In: 2020 IEEE 17th India Council International Conference (INDICON). IEEE, pp 1–7

    Google Scholar 

  9. Amendments in model building bye-laws (MBBL—2016) for electric vehicle charging infrastructure. Retrieved 14 Sept 2019. [Online Available]. http://mohua.gov.in/upload/whatsnew/5c6e472b20d0aGuidelines

  10. Hosseini S, Sarder M (2019) Development of a Bayesian network model for optimal site selection of electric vehicle charging station. Int J Electr Power Energy Syst 105:110–122

    Article  Google Scholar 

  11. Bae S, Kwasinski A (2011) Spatial and temporal model of electric vehicle charging demand. IEEE Trans Smart Grid 3(1):394–403

    Article  Google Scholar 

  12. Jin X, Yu T, Wang X, Li S, Pu T (2016) A reconfiguration strategy for active distribution network with electric vehicles. In: 2016 International conference on smart grid and clean energy technologies (ICSGCE). IEEE, pp 155–160

    Google Scholar 

  13. Chang RF, Chang YC, Lu CN (2012) Loss minimization of distribution systems with electric vehicles by network reconfiguration. In: 2012 International conference on control engineering and communication technology. IEEE, pp 551–555

    Google Scholar 

  14. Melo DFR, Leguizamon W, Massier T, Gooi HB (2017) Optimal distribution feeder reconfiguration for integration of electric vehicles. In: 2017 IEEE PES innovative smart grid technologies conference-Latin America (ISGT Latin America). IEEE, pp 1–6

    Google Scholar 

  15. Putrus G, Suwanapingkarl P, Johnston D, Bentley E, Narayana M (2009) Impact of electric vehicles on power distribution networks. In: 2009 IEEE vehicle power and propulsion conference. IEEE, pp 827–831

    Google Scholar 

  16. Islam MM, Shareef H, Mohamed A (2018) Optimal location and sizing of fast charging stations for electric vehicles by incorporating traffic and power networks. IET Intell Transp Syst 12(8):947–957

    Article  Google Scholar 

  17. Clement-Nyns K, Haesen E, Driesen J (2009) The impact of charging plug-in hybrid electric vehicles on a residential distribution grid. IEEE Trans Power Syst 25(1):371–380

    Article  Google Scholar 

  18. Nikoobakht A, Aghaei J, Niknam T, Farahmand H, Korpås M (2019) Electric vehicle mobility and optimal grid reconfiguration as flexibility tools in wind integrated power systems. Int J Electr Power Energy Syst 110:83–94

    Article  Google Scholar 

  19. Pahlavanhoseini A, Sepasian MS (2019) Scenario-based planning of fast charging stations considering network reconfiguration using cooperative coevolutionary approach. J Energy Storage 23:544–557

    Article  Google Scholar 

  20. Paudel A, Supingklad W, Ongsakul W (2016) Distribution network reconfiguration to support electric vehicles integration. In: 2016 International conference on cogeneration, small power plants and district energy (ICUE). IEEE, pp 1–6

    Google Scholar 

  21. The challenges of EV charging: 10 things to know. Retrieved 14 Sept 2019. [Online Available]: https://www.techrepublic.com/article/the-challenges-of-ev-charging-10-things-to-know/

  22. Zenginis I, Vardakas J, Zorba N, Verikoukis C (2017) Performance evaluation of a multi-standard fast charging station for electric vehicles. IEEE Trans Smart Grid 9(5):4480–4489

    Article  Google Scholar 

  23. Gnann T, Funke S, Jakobsson N, Plötz P, Sprei F, Bennehag A (2018) Fast charging infrastructure for electric vehicles: today’s situation and future needs. Transp Res Part D Transp Environ 62:314–329

    Google Scholar 

  24. Xiong Y, Gan J, An B, Miao C, Bazzan AL (2017) Optimal electric vehicle fast charging station placement based on game theoretical framework. IEEE Trans Intell Transp Syst 19(8):2493–2504

    Article  Google Scholar 

  25. Archana A, Rajeev T (2020) Reliability index based approach for allocating EV charging station in a distribution system. In: 2020 IEEE international conference on power electronics, smart grid and renewable energy (PESGRE2020). IEEE, pp 1–6

    Google Scholar 

  26. Mahoor M, Hosseini ZS, Khodaei A, Kushner D (2017) Electric vehicle battery swapping station. arXiv preprint arXiv:1710.06895

  27. Chauhan V, Gupta A (2018) Scheduling mobile charging stations for electric vehicle charging. In: 2018 14th International conference on wireless and mobile computing, networking and communications (WiMob), pp 131–136. IEEE

    Google Scholar 

  28. Wang J, Wu D, Zhao W, Shi S, Upadhaya B, Shi Y (2020) Queueing theory-based optimal decision-making model of battery energy storage-assisted fast charging station participating in emergency demand response. In: 2020 IEEE sustainable power and energy conference (iSPEC). IEEE, pp 2110–2115

    Google Scholar 

  29. Singh G, Swarnkar A, Gupta N, Niazi K (2020) A review of scheduling techniques and communication protocols for smart homes capable of implementing demand response. Intell Comput Tech Smart Energy Syst 505–513

    Google Scholar 

  30. Liu J (2017) Research and implementation of electric vehicle fast charging station parking guidance system based on mobile terminal. In: 2017 9th International conference on intelligent human-machine systems and cybernetics (IHMSC), vol 1. IEEE, pp 230–233

    Google Scholar 

  31. Yang SN, Cheng WS, Hsu YC, Gan CH, Lin YB (2013) Charge scheduling of electric vehicles in highways. Math Comput Model 57(11–12):2873–2882

    Article  Google Scholar 

  32. Sharma B, Gupta N, Niazi K, Swarnkar A, Vashisth S (2019) Demand response in the global arena: Challenges and future trends. In: 2019 8th International conference on power systems (ICPS). IEEE, pp 1–5

    Google Scholar 

  33. Sharma B, Gupta N, Niazi K, Swarnkar A (2020) Demand response in distribution systems: a comprehensive review, pp 565–572

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Malaviya National Institute of Technology, Jaipur, India

    Shakti Vashisth, Praveen Kumar Agrawal, Nikhil Gupta, K. R. Niazi & Anil Swarnkar

Authors
  1. Shakti Vashisth
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Praveen Kumar Agrawal
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Nikhil Gupta
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. K. R. Niazi
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Anil Swarnkar
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Shakti Vashisth .

Editor information

Editors and Affiliations

  1. Nanyang Technological University, Singapore, Singapore

    Anshuman Tripathi

  2. Manipal University Jaipur, Jaipur, India

    Amit Soni

  3. Manipal University Jaipur, Jaipur, India

    Ashish Shrivastava

  4. Malaviya National Institute of Technology Jaipur, Jaipur, India

    Anil Swarnkar

  5. National Institute of Technology Uttarakhand, Srinagar, India

    Jagrati Sahariya

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Vashisth, S., Agrawal, P.K., Gupta, N., Niazi, K.R., Swarnkar, A. (2022). A Comprehensive Review on Fast Charging Stations Deployment for Electric Vehicles. In: Tripathi, A., Soni, A., Shrivastava, A., Swarnkar, A., Sahariya, J. (eds) Intelligent Computing Techniques for Smart Energy Systems. Lecture Notes in Electrical Engineering, vol 862. Springer, Singapore. https://doi.org/10.1007/978-981-19-0252-9_21

Download citation

  • DOI: https://doi.org/10.1007/978-981-19-0252-9_21

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-0251-2

  • Online ISBN: 978-981-19-0252-9

  • eBook Packages: EnergyEnergy (R0)

Publish with us

Policies and ethics

Search

Navigation