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A Novel Optimization Algorithm for Solar Panels Selection towards a Self-Powered EV Parking Lot and Its Impact on the Distribution System

Author

Listed:
  • Claude Ziad El-Bayeh

    (Canada Excellence Research Chair Team, Concordia University, Montreal, QC H3G 1M8, Canada)

  • Mohamed Zellagui

    (Department of Electrical Engineering, Faculty of Technology, University of Batna 2, Fesdis 05078, Batna, Algeria)

  • Navid Shirzadi

    (Canada Excellence Research Chair Team, Concordia University, Montreal, QC H3G 1M8, Canada)

  • Ursula Eicker

    (Canada Excellence Research Chair Team, Concordia University, Montreal, QC H3G 1M8, Canada)

Abstract

This paper proposes an original multi-criteria decision-making optimization algorithm to select the best solar panels in an existing market and optimally size the photovoltaic (PV) system for an electric vehicle parking lot (EVPL). Our proposed algorithm is called rank-weigh-rank (RWR), and it is compared to the well-known technique for order of preference by similarity to ideal solution (TOPSIS) optimization algorithm under the same conditions for validation purposes. Results show that the speed of our proposed algorithm (RWR) in finding the best solution increases exponentially compared to TOPSIS when the numbers of alternatives and criteria increase. Moreover, 77% is the probability of obtaining results with more than 80% accuracy compared to TOPSIS, which validates the efficiency of our algorithm. In addition, we were able to design an EVPL with a power self-sufficiency ratio of 60.8%, the energy self-sufficiency ratio of 74.7%, and a payback period of 10.58 years. Moreover, the renewable energy-based EVPL was able to reduce the power losses on the network by 95.7% compared to an EVPL without a renewable energy system and improve the voltage deviation.

Suggested Citation

  • Claude Ziad El-Bayeh & Mohamed Zellagui & Navid Shirzadi & Ursula Eicker, 2021. "A Novel Optimization Algorithm for Solar Panels Selection towards a Self-Powered EV Parking Lot and Its Impact on the Distribution System," Energies, MDPI, vol. 14(15), pages 1-28, July.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:15:p:4515-:d:601887
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    References listed on IDEAS

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    Cited by:

    1. Grzegorz Ostasz & Dominika Siwiec & Andrzej Pacana, 2022. "Universal Model to Predict Expected Direction of Products Quality Improvement," Energies, MDPI, vol. 15(5), pages 1-18, February.
    2. Jing Yang & Jiale Xiong & Yen-Lin Chen & Por Lip Yee & Chin Soon Ku & Manoochehr Babanezhad, 2023. "Improved Golden Jackal Optimization for Optimal Allocation and Scheduling of Wind Turbine and Electric Vehicles Parking Lots in Electrical Distribution Network Using Rosenbrock’s Direct Rotation Strat," Mathematics, MDPI, vol. 11(6), pages 1-23, March.
    3. Nahar F. Alshammari & Mohamed Mahmoud Samy & Shimaa Barakat, 2023. "Comprehensive Analysis of Multi-Objective Optimization Algorithms for Sustainable Hybrid Electric Vehicle Charging Systems," Mathematics, MDPI, vol. 11(7), pages 1-31, April.
    4. Paweł Ziemba, 2023. "Selection of Photovoltaic Panels Based on Ranges of Criteria Weights and Balanced Assessment Criteria," Energies, MDPI, vol. 16(17), pages 1-18, September.

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