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Fuzzy logic controller with MPPT using line-commutated inverter for three-phase grid-connected photovoltaic systems

Author

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  • Gounden, N. Ammasai
  • Ann Peter, Sabitha
  • Nallandula, Himaja
  • Krithiga, S.

Abstract

A fuzzy logic controller has been developed for interfacing PV array with utility grid through a three-phase line-commutated inverter for the first time. The controller tracks and feeds maximum power to the utility grid. The linguistic variables have been selected appropriately to modulate the firing angle of the inverter for tracking the maximum power. The simulink model of the proposed scheme employing fuzzy logic controller has been built using MATLAB/PSB. A PIC microcontroller has been programmed for generation of firing pulses to the thyristors in the inverter. Experimental setup of the proposed scheme has been built and the results obtained on a PV array of 54V, 12A rating are presented. The comparison of experimental and simulation results shows very close agreement between the two thus validating the controller proposed.

Suggested Citation

  • Gounden, N. Ammasai & Ann Peter, Sabitha & Nallandula, Himaja & Krithiga, S., 2009. "Fuzzy logic controller with MPPT using line-commutated inverter for three-phase grid-connected photovoltaic systems," Renewable Energy, Elsevier, vol. 34(3), pages 909-915.
    • Handle: RePEc:eee:renene:v:34:y:2009:i:3:p:909-915
    DOI: 10.1016/j.renene.2008.05.039
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    Cited by:

    1. Jordehi, A. Rezaee, 2016. "Maximum power point tracking in photovoltaic (PV) systems: A review of different approaches," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 1127-1138.
    2. Ram, J.Prasanth & Rajasekar, N. & Miyatake, Masafumi, 2017. "Design and overview of maximum power point tracking techniques in wind and solar photovoltaic systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 1138-1159.
    3. Mellit, Adel & Kalogirou, Soteris A., 2014. "MPPT-based artificial intelligence techniques for photovoltaic systems and its implementation into field programmable gate array chips: Review of current status and future perspectives," Energy, Elsevier, vol. 70(C), pages 1-21.
    4. Kakosimos, Panagiotis E. & Kladas, Antonios G., 2011. "Implementation of photovoltaic array MPPT through fixed step predictive control technique," Renewable Energy, Elsevier, vol. 36(9), pages 2508-2514.
    5. Salah Beni Hamed & Mouna Ben Hamed & Lassaad Sbita, 2022. "Robust Voltage Control of a Buck DC-DC Converter: A Sliding Mode Approach," Energies, MDPI, vol. 15(17), pages 1-21, August.
    6. Datta, Manoj & Senjyu, Tomonobu & Yona, Atsushi & Funabashi, Toshihisa, 2011. "A fuzzy based method for leveling output power fluctuations of photovoltaic-diesel hybrid power system," Renewable Energy, Elsevier, vol. 36(6), pages 1693-1703.
    7. Ram, J. Prasanth & Babu, T. Sudhakar & Rajasekar, N., 2017. "A comprehensive review on solar PV maximum power point tracking techniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 826-847.
    8. Nasiri, Reza & Radan, Ahmad, 2011. "Pole-placement control of 4-leg voltage-source inverters for standalone photovoltaic systems: Considering digital delays," Renewable Energy, Elsevier, vol. 36(2), pages 858-865.
    9. Chun-Liang Liu & Jing-Hsiao Chen & Yi-Hua Liu & Zong-Zhen Yang, 2014. "An Asymmetrical Fuzzy-Logic-Control-Based MPPT Algorithm for Photovoltaic Systems," Energies, MDPI, vol. 7(4), pages 1-17, April.
    10. Nasiri, Reza & Radan, Ahmad, 2011. "Adaptive pole-placement control of 4-leg voltage-source inverters for standalone photovoltaic systems," Renewable Energy, Elsevier, vol. 36(7), pages 2032-2042.
    11. Po-Chen Cheng & Bo-Rei Peng & Yi-Hua Liu & Yu-Shan Cheng & Jia-Wei Huang, 2015. "Optimization of a Fuzzy-Logic-Control-Based MPPT Algorithm Using the Particle Swarm Optimization Technique," Energies, MDPI, vol. 8(6), pages 1-23, June.
    12. Jaw-Kuen Shiau & Yu-Chen Wei & Min-Yi Lee, 2015. "Fuzzy Controller for a Voltage-Regulated Solar-Powered MPPT System for Hybrid Power System Applications," Energies, MDPI, vol. 8(5), pages 1-21, April.
    13. Nasiri, Reza & Radan, Ahmad, 2011. "Adaptive decoupled control of 4-leg voltage-source inverters for standalone photovoltaic systems: Adjusting transient state response," Renewable Energy, Elsevier, vol. 36(10), pages 2733-2741.
    14. Yi Jin & Wenhui Hou & Guiqiang Li & Xiao Chen, 2017. "A Glowworm Swarm Optimization-Based Maximum Power Point Tracking for Photovoltaic/Thermal Systems under Non-Uniform Solar Irradiation and Temperature Distribution," Energies, MDPI, vol. 10(4), pages 1-13, April.
    15. Parlak, Koray Sener, 2014. "FPGA based new MPPT (maximum power point tracking) method for PV (photovoltaic) array system operating partially shaded conditions," Energy, Elsevier, vol. 68(C), pages 399-410.
    16. Nouha Mansouri & Abderezak Lashab & Dezso Sera & Josep M. Guerrero & Adnen Cherif, 2019. "Large Photovoltaic Power Plants Integration: A Review of Challenges and Solutions," Energies, MDPI, vol. 12(19), pages 1-16, October.
    17. Tingting Pei & Xiaohong Hao & Qun Gu, 2018. "A Novel Global Maximum Power Point Tracking Strategy Based on Modified Flower Pollination Algorithm for Photovoltaic Systems under Non-Uniform Irradiation and Temperature Conditions," Energies, MDPI, vol. 11(10), pages 1-16, October.
    18. Rajesh, R. & Carolin Mabel, M., 2015. "A comprehensive review of photovoltaic systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 231-248.

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