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Proportional Resonant Current Control and Output-Filter Design Optimization for Grid-Tied Inverters Using Grey Wolf Optimizer

Author

Listed:
  • João Faria

    (Instituto de Telecomunicações, Universidade da Beira Interior, Covilhã 6201-001, Portugal)

  • João Fermeiro

    (Instituto de Telecomunicações, Universidade da Beira Interior, Covilhã 6201-001, Portugal)

  • José Pombo

    (Instituto de Telecomunicações, Universidade da Beira Interior, Covilhã 6201-001, Portugal)

  • Maria Calado

    (Instituto de Telecomunicações, Universidade da Beira Interior, Covilhã 6201-001, Portugal)

  • Sílvio Mariano

    (Instituto de Telecomunicações, Universidade da Beira Interior, Covilhã 6201-001, Portugal)

Abstract

This paper proposes a new method for the simultaneous determination of the optimal control parameters of proportional resonant controllers and the optimal design of the output filter of a grid-tied three-phase inverter. The proposed method, based on the grey wolf optimization (GWO) algorithm, addresses both optimization problems as a single process to achieve a better system frequency response. It optimizes the unknown parameters by using a fitness function to find the best trade-off between the following fundamental terms: the harmonic attenuation rate; the power loss, through the damping resistor; and the current tracking error in the stationary frame, ensuring the system and grid stability. To validate the proposed optimization methodology, two case studies are considered with different output filter topologies with passive damping methods. The results obtained from the proposed optimization procedure were analyzed and discussed according to the fitness function terms.

Suggested Citation

  • João Faria & João Fermeiro & José Pombo & Maria Calado & Sílvio Mariano, 2020. "Proportional Resonant Current Control and Output-Filter Design Optimization for Grid-Tied Inverters Using Grey Wolf Optimizer," Energies, MDPI, vol. 13(8), pages 1-18, April.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:8:p:1923-:d:345330
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    References listed on IDEAS

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    1. João Faria & José Pombo & Maria do Rosário Calado & Sílvio Mariano, 2019. "Power Management Control Strategy Based on Artificial Neural Networks for Standalone PV Applications with a Hybrid Energy Storage System," Energies, MDPI, vol. 12(5), pages 1-24, March.
    2. Chatterjee, Aditi & Mohanty, Kanungo Barada, 2018. "Current control strategies for single phase grid integrated inverters for photovoltaic applications-a review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 92(C), pages 554-569.
    3. Min Huang & Han Li & Weimin Wu & Frede Blaabjerg, 2019. "Observer-Based Sliding Mode Control to Improve Stability of Three-Phase LCL-Filtered Grid-Connected VSIs," Energies, MDPI, vol. 12(8), pages 1-15, April.
    4. Gomes, Camilo C. & Cupertino, Allan F. & Pereira, Heverton A., 2018. "Damping techniques for grid-connected voltage source converters based on LCL filter: An overview," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 116-135.
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    Cited by:

    1. Gerardo Humberto Valencia-Rivera & Ivan Amaya & Jorge M. Cruz-Duarte & José Carlos Ortíz-Bayliss & Juan Gabriel Avina-Cervantes, 2021. "Hybrid Controller Based on LQR Applied to Interleaved Boost Converter and Microgrids under Power Quality Events," Energies, MDPI, vol. 14(21), pages 1-31, October.
    2. Kumeshan Reddy & Akshay Kumar Saha, 2022. "An Investigation into the Utilization of Swarm Intelligence for the Design of Dual Vector and Proportional–Resonant Controllers for Regulation of Doubly Fed Induction Generators Subject to Unbalanced ," Energies, MDPI, vol. 15(20), pages 1-36, October.
    3. Mohammad Alali & Zagros Shahooei & Maryam Bahramipanah, 2021. "Resiliency-Oriented Optimization of Critical Parameters in Multi Inverter-Fed Distributed Generation Systems," Sustainability, MDPI, vol. 13(12), pages 1-16, June.

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