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Optimal scheduling and techno-economic analysis of electric vehicles by implementing solar-based grid-tied charging station

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  • Ullah, Zia
  • Wang, Shaorong
  • Wu, Guan
  • Hasanien, Hany M.
  • Rehman, Anis Ur
  • Turky, Rania A.
  • Elkadeem, Mohamed R.

Abstract

The integration of Electric Vehicles (EVs) and Photovoltaics (PVs) into the electric power distribution system is rising worldwide due to the environmental concerns and the rapid depletion of fossil fuels. However, the simultaneous integration of EVs and PVs in the power system poses challenges of uncertain power penetration, charging, and dynamic loading conditions, which requires a suitable control design and scheduling optimization to keep the modified electric system stable. This paper proposes a solar-based grid-tied charging station (SGTCS) that optimizes EV charging by enabling the scheduling technique resulting in maximum utilization of PV power. The proposed model also identifies and considers seasonal variation effects of power generation and EV charging connectivity. The SGTCS is implemented using HOMER Grid, and a case study of a practical locality in Islamabad was investigated; the conducted detailed analysis comprises the annual cost estimation, energy costs, EV scheduling, main grid power usage reduction, and the impact of environmental changes. Examining the integration of small and big EVs in the grid-tied solar-integrated charging system, a brief scheduling strategy of 250 sessions per day is analyzed. The resultant techno-economic implications are presented, depicting the proposed study's relevance and applicability.

Suggested Citation

  • Ullah, Zia & Wang, Shaorong & Wu, Guan & Hasanien, Hany M. & Rehman, Anis Ur & Turky, Rania A. & Elkadeem, Mohamed R., 2023. "Optimal scheduling and techno-economic analysis of electric vehicles by implementing solar-based grid-tied charging station," Energy, Elsevier, vol. 267(C).
    • Handle: RePEc:eee:energy:v:267:y:2023:i:c:s0360544222034478
    DOI: 10.1016/j.energy.2022.126560
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    References listed on IDEAS

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    Cited by:

    1. Mohd Bilal & Pitshou N. Bokoro & Gulshan Sharma & Giovanni Pau, 2024. "A Cost-Effective Energy Management Approach for On-Grid Charging of Plug-in Electric Vehicles Integrated with Hybrid Renewable Energy Sources," Energies, MDPI, vol. 17(16), pages 1-35, August.
    2. Tahir, Mustafa & Hu, Sideng & Khan, Tahir & Zhu, Haoqi, 2024. "Multi-energy station design for future electric vehicles: A synergistic approach starting from scratch," Applied Energy, Elsevier, vol. 372(C).
    3. Kannayeram, Ganapathiyapillai & Muniraj, Rathinam & Jeno Jasmine, J. & Edwin Raja, S. & Jarin, T., 2024. "Energy management of renewable energy connected electric vehicles charging using Internet of things: Hybrid MRA-SDRN approach," Energy, Elsevier, vol. 304(C).
    4. Sheeraz Iqbal & Nahar F. Alshammari & Mokhtar Shouran & Jabir Massoud, 2024. "Smart and Sustainable Wireless Electric Vehicle Charging Strategy with Renewable Energy and Internet of Things Integration," Sustainability, MDPI, vol. 16(6), pages 1-25, March.
    5. Rehman, Anis Ur & Shafiq, Aqib & Ullah, Zia & Iqbal, Sheeraz & Hasanien, Hany M., 2023. "Implications of smart grid and customer involvement in energy management and economics," Energy, Elsevier, vol. 276(C).
    6. Rehman, Anis Ur & Ullah, Zia & Shafiq, Aqib & Hasanien, Hany M. & Luo, Peng & Badshah, Fazal, 2023. "Load management, energy economics, and environmental protection nexus considering PV-based EV charging stations," Energy, Elsevier, vol. 281(C).
    7. Li, Bi & Li, Zhinong & He, Deqiang, 2024. "Research and optimization of energy management system for photovoltaic vehicles," Energy, Elsevier, vol. 289(C).
    8. Güven, Aykut Fatih, 2024. "Integrating electric vehicles into hybrid microgrids: A stochastic approach to future-ready renewable energy solutions and management," Energy, Elsevier, vol. 303(C).
    9. Hull, Christopher & Wust, Jacques & Booysen, M.J. & McCulloch, M.D., 2024. "Techno-economic optimization and assessment of solar-battery charging station under grid constraints with varying levels of fleet EV penetration," Applied Energy, Elsevier, vol. 374(C).
    10. Li, Da & Zhang, Lei & Zhang, Zhaosheng & Liu, Peng & Deng, Junjun & Wang, Qiushi & Wang, Zhenpo, 2023. "Battery safety issue detection in real-world electric vehicles by integrated modeling and voltage abnormality," Energy, Elsevier, vol. 284(C).
    11. Ozturk, Zafer & Terkes, Musa & Demirci, Alpaslan, 2024. "Optimal planning of hybrid power systems under economic variables and different climatic regions: A case study of Türkiye," Renewable Energy, Elsevier, vol. 232(C).
    12. Ullah, Zia & Rehman, Anis Ur & Wang, Shaorong & Hasanien, Hany M. & Luo, Peng & Elkadeem, Mohamed R. & Abido, Mohammad A., 2023. "IoT-based monitoring and control of substations and smart grids with renewables and electric vehicles integration," Energy, Elsevier, vol. 282(C).
    13. Dong, Xiao-Jian & Shen, Jia-Ni & Liu, Cheng-Wu & Ma, Zi-Feng & He, Yi-Jun, 2024. "Simultaneous capacity configuration and scheduling optimization of an integrated electrical vehicle charging station with photovoltaic and battery energy storage system," Energy, Elsevier, vol. 289(C).

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