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Hybrid PV-Wind, Micro-Grid Development Using Quasi-Z-Source Inverter Modeling and Control—Experimental Investigation

Author

Listed:
  • Neeraj Priyadarshi

    (Department of Electrical Engineering, Millia Institute of Technology, Purnea 854301, India)

  • Sanjeevikumar Padmanaban

    (Department of Energy Technology, Aalborg University, 6700 Esbjerg, Denmark)

  • Dan M. Ionel

    (Power and Energy Institute Kentucky (PEIK), Department of Electrical and Computer Engineering, University of Kentucky, 689 FPAT, Lexington, KY 40506-0046, USA)

  • Lucian Mihet-Popa

    (Faculty of Engineering, Østfold University College, Kobberslagerstredet 5, 1671 Kråkeroy-Fredrikstad, Norway)

  • Farooque Azam

    (Department of Electrical Engineering, Millia Institute of Technology, Purnea 854301, India)

Abstract

This research work deals with the modeling and control of a hybrid photovoltaic (PV)-Wind micro-grid using Quasi Z-source inverter (QZsi). This inverter has major benefits as it provides better buck/boost characteristics, can regulate the phase angle output, has less harmonic contents, does not require the filter and has high power performance characteristics over the conventional inverter. A single ended primary inductance converter (SEPIC) module used as DC-DC switched power apparatus is employed for maximum power point tracking (MPPT) functions which provide high voltage gain throughout the process. Moreover, a modified power ratio variable step (MPRVS) based perturb & observe (P&O) method has been proposed, as part of the PV MPPT action, which forces the operating point close to the maximum power point (MPP). The proposed controller effectively correlates with the hybrid PV, Wind and battery system and provides integration of distributed generation (DG) with loads under varying operating conditions. The proposed standalone micro grid system is applicable specifically in rural places. The dSPACE real-time hardware platform has been employed to test the proposed micro grid system under varying wind speed, solar irradiation, load cutting and removing conditions etc. The experimental results based on a real-time digital platform, under dynamic conditions, justify the performance of a hybrid PV-Wind micro-grid with Quasi Z-Source inverter topology.

Suggested Citation

  • Neeraj Priyadarshi & Sanjeevikumar Padmanaban & Dan M. Ionel & Lucian Mihet-Popa & Farooque Azam, 2018. "Hybrid PV-Wind, Micro-Grid Development Using Quasi-Z-Source Inverter Modeling and Control—Experimental Investigation," Energies, MDPI, vol. 11(9), pages 1-15, August.
  • Handle: RePEc:gam:jeners:v:11:y:2018:i:9:p:2277-:d:166511
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    References listed on IDEAS

    as
    1. Kalaivani Chandramohan & Sanjeevikumar Padmanaban & Rajambal Kalyanasundaram & Mahajan Sagar Bhaskar & Lucian Mihet-Popa, 2017. "Grid Synchronization of a Seven-Phase Wind Electric Generator Using d-q PLL," Energies, MDPI, vol. 10(7), pages 1-20, July.
    2. Ali Mohammadi & Mohammad Javad Dehghani & Elham Ghazizadeh, 2018. "Game Theoretic Spectrum Allocation in Femtocell Networks for Smart Electric Distribution Grids," Energies, MDPI, vol. 11(7), pages 1-18, June.
    3. Neeraj Priyadarshi & Sanjeevikumar Padmanaban & Lucian Mihet-Popa & Frede Blaabjerg & Farooque Azam, 2018. "Maximum Power Point Tracking for Brushless DC Motor-Driven Photovoltaic Pumping Systems Using a Hybrid ANFIS-FLOWER Pollination Optimization Algorithm," Energies, MDPI, vol. 11(5), pages 1-16, April.
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    Cited by:

    1. Serhii Stepenko & Oleksandr Husev & Dmitri Vinnikov & Carlos Roncero-Clemente & Sergio Pires Pimentel & Elena Santasheva, 2019. "Experimental Comparison of Two-Level Full-SiC and Three-Level Si–SiC Quasi-Z-Source Inverters for PV Applications," Energies, MDPI, vol. 12(13), pages 1-17, June.
    2. Sergio Saponara & Lucian Mihet-Popa, 2019. "Energy Storage Systems and Power Conversion Electronics for E-Transportation and Smart Grid," Energies, MDPI, vol. 12(4), pages 1-9, February.
    3. Xizheng Guo & Jiaqi Yuan & Yiguo Tang & Xiaojie You, 2018. "Hardware in the Loop Real-time Simulation for the Associated Discrete Circuit Modeling Optimization Method of Power Converters," Energies, MDPI, vol. 11(11), pages 1-14, November.

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