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Proportional-Integral Controllers Performance of a Grid-Connected Solar PV System with Particle Swarm Optimization and Ziegler–Nichols Tuning Method

Author

Listed:
  • Klemen Deželak

    (Faculty of Energy Technology, University of Maribor, Hočevarjev trg 1, 8270 Krško, Slovenia)

  • Peter Bracinik

    (Faculty of Electrical Engineering and Information Technology, University of Zilina, Univerzitna 8215/1, 010 26 Zilina, Slovakia)

  • Klemen Sredenšek

    (Faculty of Energy Technology, University of Maribor, Hočevarjev trg 1, 8270 Krško, Slovenia)

  • Sebastijan Seme

    (Faculty of Energy Technology, University of Maribor, Hočevarjev trg 1, 8270 Krško, Slovenia
    Faculty of Electrical Engineering and Computer Science, University of Maribor, Koroška Cesta 46, 2000 Maribor, Slovenia)

Abstract

This paper deals with photovoltaic (PV) power plant modeling and its integration into the medium-voltage distribution network. Apart from solar cells, a simulation model includes a boost converter, voltage-oriented controller and LCL filter. The main emphasis is given to the comparison of two optimization methods—particle swarm optimization (PSO) and the Ziegler–Nichols (ZN) tuning method, approaches that are used for the parameters of Proportional-Integral (PI) controllers determination. A PI controller is commonly used because of its performance, but it is limited in its effectiveness if there is a change in the parameters of the system. In our case, the aforementioned change is caused by switching the feeders of the distribution network from an open-loop to a closed-loop arrangement. The simulation results have claimed the superiority of the PSO algorithm, while the classical ZN tuning method is acceptable in a limited area of operation.

Suggested Citation

  • Klemen Deželak & Peter Bracinik & Klemen Sredenšek & Sebastijan Seme, 2021. "Proportional-Integral Controllers Performance of a Grid-Connected Solar PV System with Particle Swarm Optimization and Ziegler–Nichols Tuning Method," Energies, MDPI, vol. 14(9), pages 1-15, April.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:9:p:2516-:d:544763
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    References listed on IDEAS

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    1. Ma, Tao & Yang, Hongxing & Lu, Lin, 2014. "Solar photovoltaic system modeling and performance prediction," Renewable and Sustainable Energy Reviews, Elsevier, vol. 36(C), pages 304-315.
    2. Eltawil, Mohamed A. & Zhao, Zhengming, 2010. "Grid-connected photovoltaic power systems: Technical and potential problems--A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(1), pages 112-129, January.
    3. Ellabban, Omar & Abu-Rub, Haitham & Blaabjerg, Frede, 2014. "Renewable energy resources: Current status, future prospects and their enabling technology," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 748-764.
    4. Ahmad, G.E. & Hussein, H.M.S. & El-Ghetany, H.H., 2003. "Theoretical analysis and experimental verification of PV modules," Renewable Energy, Elsevier, vol. 28(8), pages 1159-1168.
    5. Tyagi, V.V. & Rahim, Nurul A.A. & Rahim, N.A. & Selvaraj, Jeyraj A./L., 2013. "Progress in solar PV technology: Research and achievement," Renewable and Sustainable Energy Reviews, Elsevier, vol. 20(C), pages 443-461.
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    Cited by:

    1. Krzysztof Kołek & Andrzej Firlit, 2021. "A New Optimal Current Controller for a Three-Phase Shunt Active Power Filter Based on Karush–Kuhn–Tucker Conditions," Energies, MDPI, vol. 14(19), pages 1-17, October.

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