• P-ISSN 0974-6846 E-ISSN 0974-5645

Indian Journal of Science and Technology

Article

Indian Journal of Science and Technology

Year: 2024, Volume: 17, Issue: 8, Pages: 751-759

Original Article

Optimal Location of EV Charging Stations in the Distribution System Considering GWO Algorithm

Received Date:11 August 2023, Accepted Date:29 January 2024, Published Date:20 February 2024

Abstract

Objectives: The transition from conventional vehicles to electric vehicles (EVs) has been significantly influenced by the current scarcity of fossil fuels and the environmental concerns surrounding greenhouse gas emissions. The exploration of the optimal location of electric vehicle charging stations has been prompted by the electrification of the transportation system and the increasing demand for EVs. Methods: One of the main challenges is the detrimental impact of improper positioning of charging stations on the power distribution network. The Grey Wolf Optimization (GWO) approach is used to determine the effective Charging Stations (CS) locations to minimize the losses, which is the major objective of the proposed technique. An IEEE 33 bus system is used to implement the suggested technique. Findings : The proposed method finds the suitable deployments for EVCS within the distribution system, which is of utmost importance due to the constraints imposed by limited battery capacity and prolonged charging periods. This article proposes the optimal location for EVCS to minimize losses inside the distribution network. Novelty: The effectiveness of the proposed GWO is evaluated by comparing it with the PSO optimal algorithm. Finally, a comparison of system voltage and nominal voltage is presented and the probability comparison of EV location with the base case and the proposed algorithms is presented.

Keywords: Electric Vehicle Charging Station, Distribution System, GWO, System and Nominal Voltage

References

  1. Nour M, Chaves-Ávila JP, Magdy G, Sánchez-Miralles Á. Review of Positive and Negative Impacts of Electric Vehicles Charging on Electric Power Systems. Energies. 2020;13(18):1–34. Available from: https://doi.org/10.3390/en13184675
  2. Pal A, Bhattacharya A, Chakraborty AK. Allocation of electric vehicle charging station considering uncertainties. Sustainable Energy, Grids and Networks. 2021;25:100422. Available from: https://doi.org/10.1016/j.segan.2020.100422
  3. Bitencourt L, Abud TP, Dias BH, Borba BSMC, Maciel RS, Quirós-Tortós J. Optimal location of EV charging stations in a neighborhood considering a multi-objective approach. Electric Power Systems Research. 2021;199:107391. Available from: https://doi.org/10.1016/j.epsr.2021.107391
  4. Ahmad F, Iqbal A, Ashraf I, Marzband M, Khan I. Optimal location of electric vehicle charging station and its impact on distribution network: A review. Energy Reports. 2022;8:2314–2333. Available from: https://doi.org/10.1016/j.egyr.2022.01.180
  5. Barhagh SS, Mohammadi-Ivatloo B, Abapour M, Shafie-Khah M. Optimal Sizing and Siting of Electric Vehicle Charging Stations in Distribution Networks With Robust Optimizing Model. IEEE Transactions on Intelligent Transportation Systems. 2023;p. 1–12. Available from: https://doi.org/10.1109/TITS.2023.3334470
  6. Emary E, Zawbaa HM, Hassanien AE. Binary grey wolf optimization approaches for feature selection. Neurocomputing. 2016;172:371–381. Available from: https://doi.org/10.1016/j.neucom.2015.06.083
  7. Vasant PM, Rahman I, Singh BSM, Abdullah-Al-Wadud M. Optimal power allocation scheme for plug-in hybrid electric vehicles using swarm intelligence techniques. Cogent Engineering. 2016;3(1):1–26. Available from: https://doi.org/10.1080/23311916.2016.1203083
  8. Vazifeh MM, Zhang H, Santi P, Ratti C. Optimizing the deployment of electric vehicle charging stations using pervasive mobility data. Transportation Research Part A: Policy and Practice. 2019;121:75–91. Available from: https://doi.org/10.1016/j.tra.2019.01.002
  9. Jing W, An K, Ramezani M, Kim I. Location Design of Electric Vehicle Charging Facilities: A Path-Distance Constrained Stochastic User Equilibrium Approach. Journal of Advanced Transportation. 2017;2017:1–15. Available from: https://doi.org/10.1155/2017/4252946
  10. Davis MA, Oliner SD, Pinto EJ, Bokka S. Residential land values in the Washington, DC metro area: New insights from big data. Regional Science and Urban Economics. 2017;66:224–246. Available from: https://doi.org/10.1016/j.regsciurbeco.2017.06.006
  11. Bokeh Development Team. Bokeh: Python Library for Interactive Visualization. Available from: https://bokeh.pydata.org/en/latest/
  12. Gas Stations. District of Columbia Open Data. Available from: https://opendata.dc.gov/
  13. Golla NK, Dharavat N, Sudabattula SK, Velamuri S, Kantipudi MVVP, Kotb H, et al. Techno-economic analysis of the distribution system with integration of distributed generators and electric vehicles. Frontiers in Energy Research. 2023;11:1–16. Available from: https://doi.org/10.3389/fenrg.2023.1221901
  14. Golla NK, Sudabattula SK, Suresh V. Optimal Placement of Electric Vehicle Charging Station in Distribution System Using Meta-Heuristic Techniques. Mathematical Modelling of Engineering Problems. 2022;9(1):60–66. Available from: https://doi.org/10.18280/mmep.090108

Copyright

© 2024 Golive et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Published By Indian Society for Education and Environment (iSee)

DON'T MISS OUT!

Subscribe now for latest articles and news.