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Adaptive Frequency-Based Reference Compensation Current Control Strategy of Shunt Active Power Filter for Unbalanced Nonlinear Loads

Author

Listed:
  • Cheng-I Chen

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

  • Chien-Kai Lan

    (Department of Mechatronics Engineering, National Changhua University of Education, Changhua 50074, Taiwan)

  • Yeong-Chin Chen

    (Department of Computer Science and Information Engineering, Asia University, Taichung 41354, Taiwan)

  • Chung-Hsien Chen

    (Metal Industries Research and Development Centre, Taichung 40768, Taiwan)

Abstract

The shunt active power filter (SAPF) is an effective means for the modification of power quality. However, the compensation performance of SAPF would be deteriorated when the unbalanced nonlinear loads are present in the power system. To enhance the compensation performance of SAPF, the adaptive frequency-based reference compensation current control strategy is proposed in this paper. The proposed solution procedure can be divided into three stages including adaptive frequency detection, phase synchronization, and adaptive compensation. With the tracking of power system frequency, the phase synchronization for the SAPF compensation can be effectively modified under the power variation of unbalanced nonlinear loads. Based on the correct synchronization phase angle, the reference compensation current of SAPF can be accurately obtained with the adaptive linear neural network (ALNN) in the stage of adaptive compensation. In addition, the direct current (DC)-link voltage of SAPF can also be effectively regulated to maintain the compensation performance. To verify the effectiveness of the proposed adaptive frequency-based reference compensation current control strategy, the comprehensive case studies implemented with the hardware-in-the-loop (HIL) mechanism are performed to examine the compliance with the specification limits of IEEE Standard 519-2014. The experimental results reveal that the performance of proposed SAPF control strategy is superior to that of the traditional instantaneous reactive power compensation control technique (p-q method) and sliding discrete Fourier transform (DFT).

Suggested Citation

  • Cheng-I Chen & Chien-Kai Lan & Yeong-Chin Chen & Chung-Hsien Chen, 2019. "Adaptive Frequency-Based Reference Compensation Current Control Strategy of Shunt Active Power Filter for Unbalanced Nonlinear Loads," Energies, MDPI, vol. 12(16), pages 1-14, August.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:16:p:3080-:d:256445
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    References listed on IDEAS

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    1. Mehrasa, Majid & Pouresmaeil, Edris & Akorede, Mudathir Funsho & Jørgensen, Bo Nørregaard & Catalão, João P.S., 2015. "Multilevel converter control approach of active power filter for harmonics elimination in electric grids," Energy, Elsevier, vol. 84(C), pages 722-731.
    2. Mehrasa, Majid & Pouresmaeil, Edris & Zabihi, Sasan & Rodrigues, Eduardo M.G. & Catalão, João P.S., 2016. "A control strategy for the stable operation of shunt active power filters in power grids," Energy, Elsevier, vol. 96(C), pages 325-334.
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    Cited by:

    1. Cheng-I Chen & Sunneng Sandino Berutu & Yeong-Chin Chen & Hao-Cheng Yang & Chung-Hsien Chen, 2022. "Regulated Two-Dimensional Deep Convolutional Neural Network-Based Power Quality Classifier for Microgrid," Energies, MDPI, vol. 15(7), pages 1-16, March.
    2. Soumya Ranjan Das & Prakash Kumar Ray & Arun Kumar Sahoo & Somula Ramasubbareddy & Thanikanti Sudhakar Babu & Nallapaneni Manoj Kumar & Rajvikram Madurai Elavarasan & Lucian Mihet-Popa, 2021. "A Comprehensive Survey on Different Control Strategies and Applications of Active Power Filters for Power Quality Improvement," Energies, MDPI, vol. 14(15), pages 1-32, July.
    3. Cheng-I Chen & Yeong-Chin Chen & Chung-Hsien Chen, 2022. "Recurrent Wavelet Fuzzy Neural Network-Based Reference Compensation Current Control Strategy for Shunt Active Power Filter," Energies, MDPI, vol. 15(22), pages 1-23, November.

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