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A Time-Efficient Approach for Modelling and Simulation of Aggregated Multiple Photovoltaic Microinverters

Author

Listed:
  • Sungmin Park

    (Department of Electronic & Electrical Engineering, Hongik University, Sejong 30016, Korea)

  • Weiqiang Chen

    (Department of Electrical & Computer Engineering, University of Connecticut, Storrs, CT 06269, USA)

  • Ali M. Bazzi

    (Department of Electrical & Computer Engineering, University of Connecticut, Storrs, CT 06269, USA)

  • Sung-Yeul Park

    (Department of Electrical & Computer Engineering, University of Connecticut, Storrs, CT 06269, USA)

Abstract

This paper presents a time-efficient modeling and simulation strategy for aggregated microinverters in large-scale photovoltaic systems. As photovoltaic microinverter systems are typically comprised of multiple power electronic converters, a suitable modeling and simulation strategy that can be used for rapid prototyping is required. Dynamic models incorporating switching action may induce significant computational burdens and long simulation durations. This paper introduces a single-matrix-form approach using the average model of a basic microinverter with two power stages consisting of a dc-dc and dc-ac converter. The proposed methodology using a common or intermediate source between two average models of cascaded converters to find the overall average model is introduced and is applicable to many other converter topologies and combinations. It provides better flexibility and simplicity when investigating various power topologies in system-level studies of microinverter and other power electronic systems. A 200 W prototype microinverter is tested to verify the proposed average and dynamic models. Furthermore, MATLAB/Simulink (2010a, Mathworks, Natick, MA, USA) is used to show the improved simulation speed and maintained accuracy of the multiple microinverter configurations when the derived average model is compared to a dynamic switching simulation model.

Suggested Citation

  • Sungmin Park & Weiqiang Chen & Ali M. Bazzi & Sung-Yeul Park, 2017. "A Time-Efficient Approach for Modelling and Simulation of Aggregated Multiple Photovoltaic Microinverters," Energies, MDPI, vol. 10(4), pages 1-19, March.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:4:p:465-:d:94657
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    References listed on IDEAS

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    1. Mehdi Seyedmahmoudian & Ben Horan & Rasoul Rahmani & Aman Maung Than Oo & Alex Stojcevski, 2016. "Efficient Photovoltaic System Maximum Power Point Tracking Using a New Technique," Energies, MDPI, vol. 9(3), pages 1-18, March.
    2. Faa Jeng Lin & Hsuang Chang Chiang & Jin Kuan Chang, 2016. "Modeling and Controller Design of PV Micro Inverter without Using Electrolytic Capacitors and Input Current Sensors," Energies, MDPI, vol. 9(12), pages 1-17, November.
    3. Graditi, G. & Adinolfi, G. & Tina, G.M., 2014. "Photovoltaic optimizer boost converters: Temperature influence and electro-thermal design," Applied Energy, Elsevier, vol. 115(C), pages 140-150.
    4. Mohammadmehdi Seyedmahmoudian & Saad Mekhilef & Rasoul Rahmani & Rubiyah Yusof & Ehsan Taslimi Renani, 2013. "Analytical Modeling of Partially Shaded Photovoltaic Systems," Energies, MDPI, vol. 6(1), pages 1-17, January.
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