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A Novel EA-Based Techno–Economic Analysis of Charging System for Electric Vehicles: A Case Study of Qassim Region, Saudi Arabia

Author

Listed:
  • Ibrahim Alsaidan

    (Department of Electrical Engineering, College of Engineering, Qassim University, Buraydah 52571, Saudi Arabia)

  • Mohd Bilal

    (Department of Electrical Engineering, SND College of Engineering and Research Center, Nashik 423401, India)

  • Muhannad Alaraj

    (Department of Electrical Engineering, College of Engineering, Qassim University, Buraydah 52571, Saudi Arabia)

  • Mohammad Rizwan

    (Department of Electrical Engineering, Delhi Technological University, Delhi 110042, India)

  • Fahad M. Almasoudi

    (Department of Electrical Engineering, Faculty of Engineering, University of Tabuk, Tabuk 47913, Saudi Arabia)

Abstract

Because of the fast expansion of electric vehicles (EVs) in Saudi Arabia, a massive amount of energy will be needed to serve these vehicles. In addition, the transportation sector radiates a considerable amount of toxic gases in the form of SO 2 and CO 2 . The national grid must supply a huge amount of electricity on a regular basis to meet the increasing power demands of EVs. This study thoroughly investigates the technical and economic benefits of an off-grid and grid-connected hybrid energy system with various configurations of a solar, wind turbine and battery energy storage system for the electric vehicle charging load in the Qassim region, Saudi Arabia. The goal is to decrease the cost of energy while reducing the chance of power outages in the system. This is achieved by using a new optimization algorithm called the modified salp swarm optimization algorithm (MSSOA), which is based on an evolutionary algorithm approach. MSSOA is an improved version of SSOA, which addresses its shortcomings. It has two search strategies to enhance its efficiency: first, it uses Levy flight distribution (LFD) to help individuals reach new positions faster, and second, it instructs individuals to spiral around the optimal solution, improving the exploitation phase. The MSSOA’s effectiveness is confirmed by comparing its results with those of the conventional salp swarm optimization algorithm and particle swarm optimization (PSO). According to simulation findings, MSSOA has excellent accuracy and robustness. In this region, the SPV/WT/BESS-based EV charging station is the optimal option for EV charging stations. The SPV/WT/BESS design has the lowest LCOE of all feasible configurations in the region under study. The optimum values for the LCOE and TNPC using MSSOA are USD 0.3697/kWh and USD 99,928.34, which are much lower than the optimized values for the LCOE (USD 0.4156) and TNPC (USD 1,12,671.75) using SSOA. Furthermore, a comprehensive techno–economic analysis of optimized hybrid systems is assessed by incorporating the grid-connected option. The grid connected system results in optimized values of the LCOE (USD 0.0732/kWh) and TNPC (USD 1,541,076). The impact of different grid purchase prices on the levelized cost of energy is also studied. Our results will assist the researchers to determine the best technique for the optimization of an optimal energy system.

Suggested Citation

  • Ibrahim Alsaidan & Mohd Bilal & Muhannad Alaraj & Mohammad Rizwan & Fahad M. Almasoudi, 2023. "A Novel EA-Based Techno–Economic Analysis of Charging System for Electric Vehicles: A Case Study of Qassim Region, Saudi Arabia," Mathematics, MDPI, vol. 11(9), pages 1-31, April.
    • Handle: RePEc:gam:jmathe:v:11:y:2023:i:9:p:2052-:d:1133404
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    References listed on IDEAS

    as
    1. Ali, Fahad & Ahmar, Muhammad & Jiang, Yuexiang & AlAhmad, Mohammad, 2021. "A techno-economic assessment of hybrid energy systems in rural Pakistan," Energy, Elsevier, vol. 215(PA).
    2. Harsh, Pratik & Das, Debapriya, 2022. "Optimal coordination strategy of demand response and electric vehicle aggregators for the energy management of reconfigured grid-connected microgrid," Renewable and Sustainable Energy Reviews, Elsevier, vol. 160(C).
    3. Gong, Lili & Cao, Wu & Liu, Kangli & Yu, Yue & Zhao, Jianfeng, 2020. "Demand responsive charging strategy of electric vehicles to mitigate the volatility of renewable energy sources," Renewable Energy, Elsevier, vol. 156(C), pages 665-676.
    4. Rajbongshi, Rumi & Borgohain, Devashree & Mahapatra, Sadhan, 2017. "Optimization of PV-biomass-diesel and grid base hybrid energy systems for rural electrification by using HOMER," Energy, Elsevier, vol. 126(C), pages 461-474.
    5. Olatomiwa, Lanre & Mekhilef, Saad & Huda, A.S.N. & Ohunakin, Olayinka S., 2015. "Economic evaluation of hybrid energy systems for rural electrification in six geo-political zones of Nigeria," Renewable Energy, Elsevier, vol. 83(C), pages 435-446.
    6. Gustavo E. Coria & Angel M. Sanchez & Ameena S. Al-Sumaiti & Guiseppe A. Rattá & Sergio R. Rivera & Andrés A. Romero, 2019. "A Framework for Determining a Prediction-Of-Use Tariff Aimed at Coordinating Aggregators of Plug-In Electric Vehicles," Energies, MDPI, vol. 12(23), pages 1-18, November.
    7. Oussama Ouramdane & Elhoussin Elbouchikhi & Yassine Amirat & Franck Le Gall & Ehsan Sedgh Gooya, 2022. "Home Energy Management Considering Renewable Resources, Energy Storage, and an Electric Vehicle as a Backup," Energies, MDPI, vol. 15(8), pages 1-20, April.
    8. Ramli, Makbul A.M. & Hiendro, Ayong & Twaha, Ssennoga, 2015. "Economic analysis of PV/diesel hybrid system with flywheel energy storage," Renewable Energy, Elsevier, vol. 78(C), pages 398-405.
    9. Nilsson, Anders & Stoll, Pia & Brandt, Nils, 2017. "Assessing the impact of real-time price visualization on residential electricity consumption, costs, and carbon emissions," Resources, Conservation & Recycling, Elsevier, vol. 124(C), pages 152-161.
    10. Kumar, Jitendra & Suryakiran, B.V. & Verma, Ashu & Bhatti, T.S., 2019. "Analysis of techno-economic viability with demand response strategy of a grid-connected microgrid model for enhanced rural electrification in Uttar Pradesh state, India," Energy, Elsevier, vol. 178(C), pages 176-185.
    11. Zhouquan Wu & Pradeep Krishna Bhat & Bo Chen, 2023. "Optimal Configuration of Extreme Fast Charging Stations Integrated with Energy Storage System and Photovoltaic Panels in Distribution Networks," Energies, MDPI, vol. 16(5), pages 1-20, March.
    12. Jiawei Yao & Yongming Zhang & Zhe Yan & Li Li, 2018. "A Group Approach of Smart Hybrid Poles with Renewable Energy, Street Lighting and EV Charging Based on DC Micro-Grid," Energies, MDPI, vol. 11(12), pages 1-17, December.
    13. Khairy Sayed & Ahmed G. Abo-Khalil & Ali S. Alghamdi, 2019. "Optimum Resilient Operation and Control DC Microgrid Based Electric Vehicles Charging Station Powered by Renewable Energy Sources," Energies, MDPI, vol. 12(22), pages 1-23, November.
    14. Lau, K.Y. & Yousof, M.F.M. & Arshad, S.N.M. & Anwari, M. & Yatim, A.H.M., 2010. "Performance analysis of hybrid photovoltaic/diesel energy system under Malaysian conditions," Energy, Elsevier, vol. 35(8), pages 3245-3255.
    15. Zhao, Shihao & Li, Kang & Yang, Zhile & Xu, Xinzhi & Zhang, Ning, 2022. "A new power system active rescheduling method considering the dispatchable plug-in electric vehicles and intermittent renewable energies," Applied Energy, Elsevier, vol. 314(C).
    16. Mohd Bilal & Ibrahim Alsaidan & Muhannad Alaraj & Fahad M. Almasoudi & Mohammad Rizwan, 2022. "Techno-Economic and Environmental Analysis of Grid-Connected Electric Vehicle Charging Station Using AI-Based Algorithm," Mathematics, MDPI, vol. 10(6), pages 1-40, March.
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