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The effect of electric vehicle charging demand variability on optimal hybrid power systems with second-life lithium-ion or fresh Na–S batteries considering power quality

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  • Terkes, Musa
  • Arikan, Oktay
  • Gokalp, Erdin

Abstract

Second-life batteries (SLB) in energy storage systems (ESS) can provide an economical solution to hybrid power systems (HPS) by reducing environmental concerns in battery production. Could Na–S batteries be a suitable alternative for ESS applications if the toxicity problem can be solved? This article performs the optimal sizing and feasibility analysis of an electric vehicle charging station with a minimum cost objective under daily, hourly, and hybrid demand variability with multi-year sensitivity analyses for both ESS technologies. Moreover, the scope is deepened with sensitivity analyses based on solar horizontal irradiation, wind speed, and electricity selling prices. Due to the HPS connection to the distribution busbar, power quality issues are included in the cost-based optimization framework, and the effects of power quality issues on the sizing and feasibility outputs are compared at higher demand variability. The results show that using SLB at wind speeds lower than 4.7 m/s and irradiances lower than 3 kWh/m2/day or above 0.035 $/kWh electric sale price is not economical. Grid-connected HPSs can increase current and voltage harmonics at the distribution busbar by up to 55.3 % and 4.3 %, reduce the power factor by up to 46.8 %, and extend the payback period by up to 1 year.

Suggested Citation

  • Terkes, Musa & Arikan, Oktay & Gokalp, Erdin, 2024. "The effect of electric vehicle charging demand variability on optimal hybrid power systems with second-life lithium-ion or fresh Na–S batteries considering power quality," Energy, Elsevier, vol. 288(C).
    • Handle: RePEc:eee:energy:v:288:y:2024:i:c:s0360544223031547
    DOI: 10.1016/j.energy.2023.129760
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    1. Lukáš Janota & Tomáš Králík & Jaroslav Knápek, 2020. "Second Life Batteries Used in Energy Storage for Frequency Containment Reserve Service," Energies, MDPI, vol. 13(23), pages 1-36, December.
    2. Rahman, Md Mustafizur & Oni, Abayomi Olufemi & Gemechu, Eskinder & Kumar, Amit, 2021. "The development of techno-economic models for the assessment of utility-scale electro-chemical battery storage systems," Applied Energy, Elsevier, vol. 283(C).
    3. Kadir Olcay & Nurettin Çetinkaya, 2023. "Analysis of the Electric Vehicle Charging Stations Effects on the Electricity Network with Artificial Neural Network," Energies, MDPI, vol. 16(3), pages 1-15, January.
    4. Rahman, Md Mustafizur & Gemechu, Eskinder & Oni, Abayomi Olufemi & Kumar, Amit, 2023. "The development of a techno-economic model for assessment of cost of energy storage for vehicle-to-grid applications in a cold climate," Energy, Elsevier, vol. 262(PA).
    5. Jafari, Mohammad & Malekjamshidi, Zahra & Zhu, Jianguo, 2019. "Design and development of a multi-winding high-frequency magnetic link for grid integration of residential renewable energy systems," Applied Energy, Elsevier, vol. 242(C), pages 1209-1225.
    6. Colarullo, Linda & Thakur, Jagruti, 2022. "Second-life EV batteries for stationary storage applications in Local Energy Communities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 169(C).
    7. Coriolano Salvini & Ambra Giovannelli, 2022. "Techno-Economic Comparison of Utility-Scale Compressed Air and Electro-Chemical Storage Systems," Energies, MDPI, vol. 15(18), pages 1-16, September.
    8. White, Chris & Thompson, Ben & Swan, Lukas G., 2021. "Comparative performance study of electric vehicle batteries repurposed for electricity grid energy arbitrage," Applied Energy, Elsevier, vol. 288(C).
    9. Rishabh Ghotge & Yitzhak Snow & Samira Farahani & Zofia Lukszo & Ad van Wijk, 2020. "Optimized Scheduling of EV Charging in Solar Parking Lots for Local Peak Reduction under EV Demand Uncertainty," Energies, MDPI, vol. 13(5), pages 1-18, March.
    10. Fretzen, Ulrich & Ansarin, Mohammad & Brandt, Tobias, 2021. "Temporal city-scale matching of solar photovoltaic generation and electric vehicle charging," Applied Energy, Elsevier, vol. 282(PA).
    11. Aree Wangsupphaphol & Surachai Chaitusaney & Mohamed Salem, 2023. "A Techno-Economic Assessment of a Second-Life Battery and Photovoltaics Hybrid Power Source for Sustainable Electric Vehicle Home Charging," Sustainability, MDPI, vol. 15(7), pages 1-19, March.
    12. Rahman, Syed & Khan, Irfan Ahmed & Khan, Ashraf Ali & Mallik, Ayan & Nadeem, Muhammad Faisal, 2022. "Comprehensive review & impact analysis of integrating projected electric vehicle charging load to the existing low voltage distribution system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 153(C).
    13. Shahjalal, Mohammad & Roy, Probir Kumar & Shams, Tamanna & Fly, Ashley & Chowdhury, Jahedul Islam & Ahmed, Md. Rishad & Liu, Kailong, 2022. "A review on second-life of Li-ion batteries: prospects, challenges, and issues," Energy, Elsevier, vol. 241(C).
    14. Li, Chong & Zheng, Yuan & Li, Zhengyong & Zhang, Lei & Zhang, Lin & Shan, Yicai & Tang, Qinghui, 2021. "Techno-economic and environmental evaluation of grid-connected and off-grid hybrid intermittent power generation systems: A case study of a mild humid subtropical climate zone in China," Energy, Elsevier, vol. 230(C).
    15. Demirci, Alpaslan & Akar, Onur & Ozturk, Zafer, 2022. "Technical-environmental-economic evaluation of biomass-based hybrid power system with energy storage for rural electrification," Renewable Energy, Elsevier, vol. 195(C), pages 1202-1217.
    16. Xia, Shiwei & Chan, K.W. & Luo, Xiao & Bu, Siqi & Ding, Zhaohao & Zhou, Bin, 2018. "Optimal sizing of energy storage system and its cost-benefit analysis for power grid planning with intermittent wind generation," Renewable Energy, Elsevier, vol. 122(C), pages 472-486.
    17. Tang, Hong & Wang, Shengwei, 2023. "Life-cycle economic analysis of thermal energy storage, new and second-life batteries in buildings for providing multiple flexibility services in electricity markets," Energy, Elsevier, vol. 264(C).
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    1. Ozturk, Zafer & Demirci, Alpaslan & Terkes, Musa & Yumurtaci, Recep, 2025. "Optimal planning of solar PV-based electric vehicle charging stations empowered by energy storage system: Feasibility and green charge potential," Renewable Energy, Elsevier, vol. 255(C).
    2. Sepehrzad, Reza & Khodadadi, Amin & Adinehpour, Sara & Karimi, Maede, 2024. "A multi-agent deep reinforcement learning paradigm to improve the robustness and resilience of grid connected electric vehicle charging stations against the destructive effects of cyber-attacks," Energy, Elsevier, vol. 307(C).

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