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Experimental Investigation of a Standalone Wind Energy System with a Battery-Assisted Quasi-Z-Source Inverter

Author

Listed:
  • Matija Bubalo

    (Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, University of Split, 21000 Split, Croatia)

  • Mateo Bašić

    (Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, University of Split, 21000 Split, Croatia)

  • Dinko Vukadinović

    (Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, University of Split, 21000 Split, Croatia)

  • Ivan Grgić

    (Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, University of Split, 21000 Split, Croatia)

Abstract

This paper presents a wind energy conversion system (WECS) for grid-isolated areas. The system includes a squirrel-cage induction generator (SCIG) and a battery-assisted quasi-Z source inverter (qZSI). The batteries ensure reliable and stable operation of the WECS in spite of the wind power oscillations. The maximum power is captured from both the wind turbine (WT) and the SCIG through adjustment of the WT speed and the SCIG operating flux, respectively. The utilized maximum power point tracking (MPPT) algorithms belong to the group of fuzzy logic (FL) search-based algorithms. The battery state of charge (SOC) is tracked online and controlled. When it reaches the minimum allowed level, the load is automatically disconnected; conversely, when it reaches the maximum allowed level, the battery charging is stopped via WT speed control. The load voltage root-mean-square (RMS) value and frequency are at all times controlled at grid-level values. The performance of the proposed system was experimentally validated, in steady state and during transients, achieving wide ranges of wind speed, load power, SOC, and alternating current/direct current (AC/DC) voltage levels. The system startup and low-wind operation were also analyzed. The control algorithms were executed in real time by means of the DS1103 and MicroLabBox controller boards (dSpace).

Suggested Citation

  • Matija Bubalo & Mateo Bašić & Dinko Vukadinović & Ivan Grgić, 2021. "Experimental Investigation of a Standalone Wind Energy System with a Battery-Assisted Quasi-Z-Source Inverter," Energies, MDPI, vol. 14(6), pages 1-17, March.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:6:p:1665-:d:519101
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    References listed on IDEAS

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    1. Senjyu, Tomonobu & Ochi, Yasutaka & Kikunaga, Yasuaki & Tokudome, Motoki & Yona, Atsushi & Muhando, Endusa Billy & Urasaki, Naomitsu & Funabashi, Toshihisa, 2009. "Sensor-less maximum power point tracking control for wind generation system with squirrel cage induction generator," Renewable Energy, Elsevier, vol. 34(4), pages 994-999.
    2. Díaz-González, Francisco & Sumper, Andreas & Gomis-Bellmunt, Oriol & Villafáfila-Robles, Roberto, 2012. "A review of energy storage technologies for wind power applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(4), pages 2154-2171.
    3. van der Linden, Septimus, 2006. "Bulk energy storage potential in the USA, current developments and future prospects," Energy, Elsevier, vol. 31(15), pages 3446-3457.
    4. Iqbal, M.T., 2003. "Modeling and control of a wind fuel cell hybrid energy system," Renewable Energy, Elsevier, vol. 28(2), pages 223-237.
    5. Kapsali, M. & Kaldellis, J.K., 2010. "Combining hydro and variable wind power generation by means of pumped-storage under economically viable terms," Applied Energy, Elsevier, vol. 87(11), pages 3475-3485, November.
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    Cited by:

    1. Matija Bubalo & Mateo Bašić & Dinko Vukadinović & Ivan Grgić, 2023. "Hybrid Wind-Solar Power System with a Battery-Assisted Quasi-Z-Source Inverter: Optimal Power Generation by Deploying Minimum Sensors," Energies, MDPI, vol. 16(3), pages 1-24, February.
    2. Stanisław Chudzik, 2023. "Wind Microturbine with Adjustable Blade Pitch Angle," Energies, MDPI, vol. 16(2), pages 1-16, January.

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