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2000
Volume 17, Issue 10
  • ISSN: 2352-0965
  • E-ISSN: 2352-0973

Abstract

Background

The utilization of electric vehicles (EVs) is on the rise, which has led to significant challenges for the radial distribution system (RDS). This research aimed to investigate the impact of electric vehicle charging stations (EVCS) on power loss, voltage stability, and reliability within the RDS. Solar-based renewable distributed generation (SRDG) offers a range of benefits in mitigating the impact of EVCS on the distribution system. To simulate the integration of EV charging loads and assess their effects on the RDS, the study has employed the widely used IEEE 69-bus system as a test platform.

Methods

A novel approach utilizing the cuckoo search algorithm (CSA) is presented in this article to determine the optimal locations for EVCS and SRDG.

Results

The study has examined the potential power losses resulting from additional EV loads and explored strategies to optimize charging rates and minimize resistive losses. Voltage stability has been assessed by analyzing the voltage drop caused by high charging loads, and the efficiency of voltage regulation devices and control strategies has been evaluated. Moreover, the paper has discussed the reliability implications of EV charging, including localized overloads and the possibility of outages.

Conclusion

Overall, this research has enhanced our understanding of the challenges associated with integrating EVCS into the RDS and offered potential solutions to address these challenges.

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2024-11-01
2025-05-10
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References

  1. AhmadF. IqbalA. AshrafI. MarzbandM. khanI. Optimal location of electric vehicle charging station and its impact on distribution network: A reviewEnergy Rep.202282314233310.1016/j.egyr.2022.01.180
    [Google Scholar]
  2. DebS. TammiK. KalitaK. MahantaP. Impact of electric vehicle charging station load on distribution network.Energies201811117810.3390/en11010178
    [Google Scholar]
  3. CholapandianV. YuvarajT. DevabalajiK. "Optimal allocation of capacitor banks in distribution networks using cuckoo search algorithm", 7th International Conference on Electrical Energy Systems (ICEES)Chennai, India 11-13 Feb2021
    [Google Scholar]
  4. HaririA.M. HejaziM.A. Hashemi-DezakiH. Reliability optimization of smart grid based on optimal allocation of protective devices, distributed energy resources, and electric vehicle/plug-in hybrid electric vehicle charging stations.J. Power Sou.2019436226824
    [Google Scholar]
  5. DevabalajiK.R. YuvarajT. RaviK. An efficient method for solving the optimal sitting and sizing problem of capacitor banks based on cuckoo search algorithm.Ain Shams Eng. J.20189458959710.1016/j.asej.2016.04.005
    [Google Scholar]
  6. GanesanS. DavidP.W. BalachandranP.K. SenjyuT. Fault identification scheme for solar photovoltaic array in bridge and honeycomb configuration.Electr. Eng.202310542443246010.1007/s00202‑023‑01816‑4
    [Google Scholar]
  7. RamachandranN. MuruganS. VinayagamC. BalachandranP.K. Real-time implementation of a seven-level multilevel DC link inverter for solar Pv system during partial shading.Electr. Power Compon. Syst.202351182125213410.1080/15325008.2023.2207177
    [Google Scholar]
  8. DevarakondaA.K. KaruppiahN. SelvarajT. BalachandranP.K. ShanmugasundaramR. SenjyuT. A comparative analysis of maximum power point techniques for solar photovoltaic systems.Energies20221522877610.3390/en15228776
    [Google Scholar]
  9. AljafariB. BalachandranP.K. SamithasD. ThanikantiS.B. Solar photovoltaic converter controller using opposition-based reinforcement learning with butterfly optimization algorithm under partial shading conditions.Environ. Sci. Pollut. Res. Int.20233028726177264010.1007/s11356‑023‑27261‑1 37173605
    [Google Scholar]
  10. TengJen-Hao A direct approach for distribution system load flow solutions.IEEE Trans. Power Deliv.200318388288710.1109/TPWRD.2003.813818
    [Google Scholar]
  11. EminogluU. HocaogluM.H. "A voltage stability index for radial distribution networks", 42nd International Universities Power Engineering Conference Brighton, UK 04-06 Sep200710.1109/UPEC.2007.4468982
    [Google Scholar]
  12. BilalM. RizwanM. AlsaidanI. AlmasoudiF.M. AI-based approach for optimal placement of EVCS and DG with reliability analysis.IEEE Access2021915420415422410.1109/ACCESS.2021.3125135
    [Google Scholar]
  13. YousriD. FathyA. RezkH. BabuT.S. BerberM.R. A reliable approach for modeling the photovoltaic system under partial shading conditions using three diode model and hybrid marine predators-slime mould algorithm.Energy Convers. Manage.202124311426910.1016/j.enconman.2021.114269
    [Google Scholar]
  14. YangX.S. DebS. Cuckoo search: Recent advances and applications.Neural Comput. Appl.201424116917410.1007/s00521‑013‑1367‑1
    [Google Scholar]
  15. SahooN.C. PrasadK. A fuzzy genetic approach for network reconfiguration to enhance voltage stability in radial distribution systems.Energy Convers. Manage.20064718-193288330610.1016/j.enconman.2006.01.004
    [Google Scholar]
  16. PonnamV.K.B. SwarnasriK. “Multi-objective optimal allocation of electric vehicle charging stations and distributed generators in radial distribution systems using metaheuristic optimization algorithms”, Eng.Technol. Appl. Sci. Res.202010358375844
    [Google Scholar]
  17. GaliveetiH.R. GoswamiA.K. ChoudhuryN.B.D. Impact of plug-in electric vehicles and distributed generation on reliability of distribution systemsEng. Sci. Technol.Int. J.2018211505910.1016/j.jestch.2018.01.005
    [Google Scholar]
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