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Holistic optimization of electric vehicle charging stations in radial power systems with V2G and DG integration considering fault repairing periods

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  • Soliman, Ismail A.
  • Tulsky, Vladimir
  • Abd el-Ghany, Hossam A.
  • ELGebaly, Ahmed E.

Abstract

Adopting electric vehicles is pivotal for mitigating environmental impacts and enhancing energy sustainability by reducing emissions and fossil fuel reliance in transportation systems. The integration of electric vehicles significantly impacts power grids and increases complexity but offers opportunities for grid stabilization through vehicle-to-grid (V2G) technology. Grid performance can be improved by integrating renewable energy sources (RESs) and reactive power compensation devices. This paper presents a proposed multi-objective function solved using parallel search real-coded genetic algorithm (PSRCGA) for obtaining the optimal placement of electric vehicle charging stations (EVCSs), V2G sharing points, photovoltaic systems (PV), wind farms, and capacitor banks. The multi-objective function aims to minimize the cost function and total energy and maximize power quality indices. The power quality indices are improved within constraints including the voltage stability and voltage deviation index. The constraints are merged with the multi-objective function within a fitness function, implemented considering fault repairing periods (FRP). Load flow analysis is applied on the IEEE 33-bus radial test system and the algorithm is verified on a real system. The system is divided into various zones to depict streets/regions/population distribution. The results affirm the algorithm's reliability across different scenarios and system configurations. Integrating RESs of 40 % in the IEEE 33-bus system decreases the annual active energy loss to 575.40 MWh with simultaneously inserting capacitor banks of 43.24 % reduces the reactive energy loss to 415.10 Mvarh. The system minimum voltage is maintained at 0.903 pu during system reconfiguration in FRP, which is within the allowable voltage limits

Suggested Citation

  • Soliman, Ismail A. & Tulsky, Vladimir & Abd el-Ghany, Hossam A. & ELGebaly, Ahmed E., 2025. "Holistic optimization of electric vehicle charging stations in radial power systems with V2G and DG integration considering fault repairing periods," Applied Energy, Elsevier, vol. 385(C).
    • Handle: RePEc:eee:appene:v:385:y:2025:i:c:s030626192500234x
    DOI: 10.1016/j.apenergy.2025.125504
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    1. Kucevic, Daniel & Englberger, Stefan & Sharma, Anurag & Trivedi, Anupam & Tepe, Benedikt & Schachler, Birgit & Hesse, Holger & Srinivasan, Dipti & Jossen, Andreas, 2021. "Reducing grid peak load through the coordinated control of battery energy storage systems located at electric vehicle charging parks," Applied Energy, Elsevier, vol. 295(C).
    2. Yu, Gang & Ye, Xianming & Gong, Dunwei & Xia, Xiaohua, 2025. "Stochastic planning for transition from shopping mall parking lots to electric vehicle charging stations," Applied Energy, Elsevier, vol. 379(C).
    3. Abu Bakar Siddique & Hossam A. Gabbar, 2023. "Adaptive Mixed-Integer Linear Programming-Based Energy Management System of Fast Charging Station with Nuclear–Renewable Hybrid Energy System," Energies, MDPI, vol. 16(2), pages 1-22, January.
    4. Wang, Mingshen & Mu, Yunfei & Jia, Hongjie & Wu, Jianzhong & Yu, Xiaodan & Qi, Yan, 2017. "Active power regulation for large-scale wind farms through an efficient power plant model of electric vehicles," Applied Energy, Elsevier, vol. 185(P2), pages 1673-1683.
    5. Daneshzand, Farzaneh & Coker, Phil J & Potter, Ben & Smith, Stefan T, 2023. "EV smart charging: How tariff selection influences grid stress and carbon reduction," Applied Energy, Elsevier, vol. 348(C).
    6. Algafri, Mohammed & Alghazi, Anas & Almoghathawi, Yasser & Saleh, Haitham & Al-Shareef, Khaled, 2024. "Smart City Charging Station allocation for electric vehicles using analytic hierarchy process and multiobjective goal-programming," Applied Energy, Elsevier, vol. 372(C).
    7. Dong, Xiaohong & Mu, Yunfei & Xu, Xiandong & Jia, Hongjie & Wu, Jianzhong & Yu, Xiaodan & Qi, Yan, 2018. "A charging pricing strategy of electric vehicle fast charging stations for the voltage control of electricity distribution networks," Applied Energy, Elsevier, vol. 225(C), pages 857-868.
    8. Wang, Zhaoqi & Zhang, Lu & Tang, Wei & Ma, Ziyao & Huang, Jiajin, 2024. "Equilibrium configuration strategy of vehicle-to-grid-based electric vehicle charging stations in low-carbon resilient distribution networks," Applied Energy, Elsevier, vol. 361(C).
    9. Soliman, Ismail A. & Tulsky, Vladimir & Abd el-Ghany, Hossam A. & ElGebaly, Ahmed E., 2025. "Efficient allocation of capacitors and vehicle-to-grid integration with electric vehicle charging stations in radial distribution networks," Applied Energy, Elsevier, vol. 377(PD).
    10. Zhou, Siyu & Han, Yang & Mahmoud, Karar & Darwish, Mohamed M.F. & Lehtonen, Matti & Yang, Ping & Zalhaf, Amr S., 2023. "A novel unified planning model for distributed generation and electric vehicle charging station considering multi-uncertainties and battery degradation," Applied Energy, Elsevier, vol. 348(C).
    11. Wang, Wei & Sun, Bo & Li, Hailong & Sun, Qie & Wennersten, Ronald, 2020. "An improved min-max power dispatching method for integration of variable renewable energy," Applied Energy, Elsevier, vol. 276(C).
    12. Adetunji, Kayode E. & Hofsajer, Ivan W. & Abu-Mahfouz, Adnan M. & Cheng, Ling, 2022. "An optimization planning framework for allocating multiple distributed energy resources and electric vehicle charging stations in distribution networks," Applied Energy, Elsevier, vol. 322(C).
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