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A Three-Phase Four-Leg Inverter-Based Active Power Filter for Unbalanced Current Compensation Using a Petri Probabilistic Fuzzy Neural Network

Author

Listed:
  • Kuang-Hsiung Tan

    (Department of Electrical and Electronic Engineering, Chung Cheng Institute of Technology, National Defense University, Taoyuan City 33551, Taiwan)

  • Faa-Jeng Lin

    (Department of Electrical Engineering, National Central University, Taoyuan City 32001, Taiwan)

  • Jun-Hao Chen

    (Department of Electrical Engineering, National Central University, Taoyuan City 32001, Taiwan)

Abstract

A three-phase four-leg inverter-based shunt active power filter (APF) is proposed to compensate three-phase unbalanced currents under unbalanced load conditions in grid-connected operation in this study. Since a DC-link capacitor is required on the DC side of the APF to release or absorb the instantaneous apparent power, the regulation control of the DC-link voltage of the APF is important especially under load variation. In order to improve the regulation control of the DC-link voltage of the shunt APF under variation of three-phase unbalanced load and to compensate the three-phase unbalanced currents effectively, a novel Petri probabilistic fuzzy neural network (PPFNN) controller is proposed to replace the traditional proportional-integral (PI) controller in this study. Furthermore, the network structure and online learning algorithms of the proposed PPFNN are represented in detail. Finally, the effectiveness of the three-phase four-leg inverter-based shunt APF with the proposed PPFNN controller for the regulation of the DC-link voltage and compensation of the three-phase unbalanced current has been demonstrated by some experimental results.

Suggested Citation

  • Kuang-Hsiung Tan & Faa-Jeng Lin & Jun-Hao Chen, 2017. "A Three-Phase Four-Leg Inverter-Based Active Power Filter for Unbalanced Current Compensation Using a Petri Probabilistic Fuzzy Neural Network," Energies, MDPI, vol. 10(12), pages 1-21, December.
  • Handle: RePEc:gam:jeners:v:10:y:2017:i:12:p:2005-:d:121236
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    Citations

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    Cited by:

    1. Mohammad Alathamneh & Haneen Ghanayem & Xingyu Yang & R. M. Nelms, 2022. "Three-Phase Grid-Connected Inverter Power Control under Unbalanced Grid Conditions Using a Time-Domain Symmetrical Components Extraction Method," Energies, MDPI, vol. 15(19), pages 1-16, September.
    2. Xiaosheng Wang & Ke Dai & Xinwen Chen & Xin Zhang & Qi Wu & Ziwei Dai, 2019. "Reactive Power Compensation and Imbalance Suppression by Star-Connected Buck-Type D-CAP," Energies, MDPI, vol. 12(10), pages 1-16, May.
    3. Jiang Zeng & Lin Yang & Yuchang Ling & Haoping Chen & Zhonglong Huang & Tao Yu & Bo Yang, 2018. "Smoothly Transitive Fixed Frequency Hysteresis Current Control Based on Optimal Voltage Space Vector," Energies, MDPI, vol. 11(7), pages 1-20, July.
    4. Mohammad Alathamneh & Haneen Ghanayem & Xingyu Yang & R. M. Nelms, 2022. "Three-Phase Grid-Connected Inverter Power Control under Unbalanced Grid Conditions Using a Proportional-Resonant Control Method," Energies, MDPI, vol. 15(19), pages 1-17, September.
    5. 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.
    6. Mohammad Alathamneh & Haneen Ghanayem & R. M. Nelms, 2022. "Bidirectional Power Control for a Three-Phase Grid-Connected Inverter under Unbalanced Grid Conditions Using a Proportional-Resonant and a Modified Time-Domain Symmetrical Components Extraction Method," Energies, MDPI, vol. 15(24), pages 1-23, December.
    7. Leonardo Rodrigues Limongi & Fabricio Bradaschia & Calebe Hermann de Oliveira Lima & Marcelo Cabral Cavalcanti, 2018. "Reactive Power and Current Harmonic Control Using a Dual Hybrid Power Filter for Unbalanced Non-Linear Loads," Energies, MDPI, vol. 11(6), pages 1-19, May.
    8. Kai-Hung Lu & Chih-Ming Hong & Fu-Sheng Cheng, 2022. "Enhanced Dynamic Performance in Hybrid Power System Using a Designed ALTS-PFPNN Controller," Energies, MDPI, vol. 15(21), pages 1-22, November.

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