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Modelling, Design and Control of a Standalone Hybrid PV-Wind Micro-Grid System

Author

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  • Ayman Al-Quraan

    (Electrical Power Engineering Department, Yarmouk University, Irbid 21163, Jordan)

  • Muhannad Al-Qaisi

    (Electrical Power Engineering Department, Yarmouk University, Irbid 21163, Jordan)

Abstract

The problem of electrical power delivery is a common problem, especially in remote areas where electrical networks are difficult to reach. One of the ways that is used to overcome this problem is the use of networks separated from the electrical system through which it is possible to supply electrical energy to remote areas. These networks are called standalone microgrid systems. In this paper, a standalone micro-grid system consisting of a Photovoltaic (PV) and Wind Energy Conversion System (WECS) based Permanent Magnet Synchronous Generator (PMSG) is being designed and controlled. Fuzzy logic-based Maximum Power Point Tracking (MPPT) is being applied to a boost converter to control and extract the maximum power available for the PV system. The control system is designed to deliver the required energy to a specific load, in all scenarios. The excess energy generated by the PV panel is used to charge the batteries when the energy generated by the PV panel exceeds the energy required by the load. When the electricity generated by the PV panels is insufficient to meet the load’s demands, the extra power is extracted from the charged batteries. In addition, the controller protects the battery banks in all conditions, including normal, overcharging, and overdischarging conditions. The controller should handle each case correctly. Under normal operation conditions (20% < State of Charge (SOC) < 80%), the controller functions as expected, regardless of the battery’s state of charge. When the SOC reaches 80%, a specific command is delivered, which shuts off the PV panel and the wind turbine. The PV panel and wind turbine cannot be connected until the SOC falls below a safe margin value of 75% in this controller. When the SOC goes below 20%, other commands are sent out to turn off the inverter and disconnect the loads. The electricity to the inverter is turned off until the batteries are charged again to a suitable value.

Suggested Citation

  • Ayman Al-Quraan & Muhannad Al-Qaisi, 2021. "Modelling, Design and Control of a Standalone Hybrid PV-Wind Micro-Grid System," Energies, MDPI, vol. 14(16), pages 1-23, August.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:16:p:4849-:d:610978
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    References listed on IDEAS

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    Cited by:

    1. Daud Mustafa Minhas & Josef Meiers & Georg Frey, 2022. "Electric Vehicle Battery Storage Concentric Intelligent Home Energy Management System Using Real Life Data Sets," Energies, MDPI, vol. 15(5), pages 1-29, February.
    2. Prabu Subramani & Sugadev Mani & Wen-Cheng Lai & Dineshkumar Ramamurthy, 2022. "Sustainable Energy Management and Control for Variable Load Conditions Using Improved Mayfly Optimization," Sustainability, MDPI, vol. 14(11), pages 1-22, May.
    3. Ayman Al-Quraan & Mohammed Al-Mahmodi & Khaled Alzaareer & Claude El-Bayeh & Ursula Eicker, 2022. "Minimizing the Utilized Area of PV Systems by Generating the Optimal Inter-Row Spacing Factor," Sustainability, MDPI, vol. 14(10), pages 1-15, May.
    4. Mohamed Derbeli & Cristian Napole & Oscar Barambones & Jesus Sanchez & Isidro Calvo & Pablo Fernández-Bustamante, 2021. "Maximum Power Point Tracking Techniques for Photovoltaic Panel: A Review and Experimental Applications," Energies, MDPI, vol. 14(22), pages 1-31, November.
    5. Ayman Al-Quraan & Bashar Al-Mhairat, 2022. "Intelligent Optimized Wind Turbine Cost Analysis for Different Wind Sites in Jordan," Sustainability, MDPI, vol. 14(5), pages 1-24, March.
    6. Ayman Al-Quraan & Bashar Al-Mhairat & Ahmad M. A. Malkawi & Ashraf Radaideh & Hussein M. K. Al-Masri, 2023. "Optimal Prediction of Wind Energy Resources Based on WOA—A Case Study in Jordan," Sustainability, MDPI, vol. 15(5), pages 1-23, February.
    7. Stanisław Chudzik, 2023. "Wind Microturbine with Adjustable Blade Pitch Angle," Energies, MDPI, vol. 16(2), pages 1-16, January.

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