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Electric Vehicle to Power Grid Integration Using Three-Phase Three-Level AC/DC Converter and PI-Fuzzy Controller

Author

Listed:
  • Khairy Sayed

    (Faculty of Energy Systems and Nuclear Science, University of Ontario Institute of Technology, Oshawa, ON, L1H 7K4, Canada
    Faculty of Engineering, Sohag University, Sohag 82524, Egypt)

  • Hossam A. Gabbar

    (Faculty of Energy Systems and Nuclear Science, University of Ontario Institute of Technology, Oshawa, ON, L1H 7K4, Canada
    Faculty of Engineering and Applied Science, University of Ontario Institute of Technology, Oshawa, ON L1H 7K4, Canada)

Abstract

This paper presents the control and simulation of an electric vehicle (EV) charging station using a three-level converter on the grid-side as well as on the EV-side. The charging station control schemes with three-level AC/DC power conversion and a bidirectional DC/DC charging regulator are described. The integration of EVs to the power grid provides an improvement of the grid reliability and stability. EVs are considered an asset to the smart grid to optimize effective performance economically and environmentally under various operation conditions, and more significantly to sustain the resiliency of the grid in the case of emergency conditions and disturbance events. The three-level grid side converter (GSC) can participate in the reactive power support or grid voltage control at the grid interfacing point or the common coupling point (PCC). A fuzzy logic proportional integral (FL-PI) controller is proposed to control the GSC converter. The controllers used are verified and tested by simulation to evaluate their performance using MATLAB/SIMULINK. The comparison of a PI-controller and a PI-Fuzzy controller for the EV charging station shows the effectiveness of the proposed FL-PI controller over conventional PI controller for same circuit operating conditions. A good performance for PI-Fuzzy in terms of settling time and peak overshoot can observed from the simulation results.

Suggested Citation

  • Khairy Sayed & Hossam A. Gabbar, 2016. "Electric Vehicle to Power Grid Integration Using Three-Phase Three-Level AC/DC Converter and PI-Fuzzy Controller," Energies, MDPI, vol. 9(7), pages 1-16, July.
    • Handle: RePEc:gam:jeners:v:9:y:2016:i:7:p:532-:d:73709
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    References listed on IDEAS

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    1. Ying Fan & Weixia Zhu & Zhongbing Xue & Li Zhang & Zhixiang Zou, 2015. "A Multi-Function Conversion Technique for Vehicle-to-Grid Applications," Energies, MDPI, vol. 8(8), pages 1-16, July.
    2. Bo Long & Shin Teak Lim & Zhi Feng Bai & Ji Hyoung Ryu & Kil To Chong, 2014. "Energy Management and Control of Electric Vehicles, Using Hybrid Power Source in Regenerative Braking Operation," Energies, MDPI, vol. 7(7), pages 1-16, July.
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    Citations

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    Cited by:

    1. Aziz Rachid & Hassan El Fadil & Khawla Gaouzi & Kamal Rachid & Abdellah Lassioui & Zakariae El Idrissi & Mohamed Koundi, 2022. "Electric Vehicle Charging Systems: Comprehensive Review," Energies, MDPI, vol. 16(1), pages 1-38, December.
    2. Khairy Sayed & Ziad M. Ali & Mujahed Aldhaifallah, 2020. "Phase-Shift PWM-Controlled DC–DC Converter with Secondary-Side Current Doubler Rectifier for On-Board Charger Application," Energies, MDPI, vol. 13(9), pages 1-18, May.
    3. Zhixiang Ling & Hui Wang & Kun Yan & Jinhao Gan, 2016. "Optimal Isolation Control of Three-Port Active Converters as a Combined Charger for Electric Vehicles," Energies, MDPI, vol. 9(9), pages 1-15, September.
    4. Sameh Mostafa & Abdelhalim Zekry & Ayman Youssef & Wagdi Refaat Anis, 2022. "Raspberry Pi Design and Hardware Implementation of Fuzzy-PI Controller for Three-Phase Grid-Connected Inverter," Energies, MDPI, vol. 15(3), pages 1-22, January.
    5. Elkholy, M.H. & Elymany, Mahmoud & Metwally, Hamid & Farahat, M.A. & Senjyu, Tomonobu & Elsayed Lotfy, Mohammed, 2022. "Design and implementation of a Real-time energy management system for an isolated Microgrid: Experimental validation," Applied Energy, Elsevier, vol. 327(C).
    6. Akhtar Hussain & Van-Hai Bui & Hak-Man Kim, 2017. "Fuzzy Logic-Based Operation of Battery Energy Storage Systems (BESSs) for Enhancing the Resiliency of Hybrid Microgrids," Energies, MDPI, vol. 10(3), pages 1-19, February.

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