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Fuzzy PID Controller for Reactive Power Accuracy and Circulating Current Suppression in Islanded Microgrid

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Book cover Intelligent Computing Methodologies (ICIC 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10363))

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Abstract

In this paper, an intelligent control scheme based on fuzzy proportional-integral-derivative controller (FPIDC) is proposed for distributed generations in islanded microgrid. The proposed FPIDC method is composed of a close-loop of the virtual impedance to compensate the feeder mismatch between distributed generators (DGs). Together with feedback of the inaccurate reactive power, the uncertainty of proportional-integral-derivative (PID) parameters is removed by adaptive tuning. Therefore, the power sharing performance is improved and the circulating current between DGs is mitigated. The dynamic response of the microgrid system with the proposed FPIDC is much better than that of the conventional PID controller. The comparison and analysis of the proposed control with conventional control are carried out to evaluate the superiority of the proposed method.

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Acknowledgment

This work was supported by the National Research Foundation of Korea Grant funded by the Korean Government (NRF-2015R1D1A1A09058166).

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Authors and Affiliations

  1. School of Electrical Engineering, University of Ulsan, Ulsan, 680-749, South Korea

    Minh-Duc Pham & Hong-Hee Lee

Authors
  1. Minh-Duc Pham
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  2. Hong-Hee Lee
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Corresponding author

Correspondence to Hong-Hee Lee .

Editor information

Editors and Affiliations

  1. Tongji University, Shanghai, China

    De-Shuang Huang

  2. Liverpool John Moores University, Liverpool, United Kingdom

    Abir Hussain

  3. Inha University, Incheon, Korea (Republic of)

    Kyungsook Han

  4. Indian Institute of Technology Madras, Chennai, India

    M. Michael Gromiha

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Pham, MD., Lee, HH. (2017). Fuzzy PID Controller for Reactive Power Accuracy and Circulating Current Suppression in Islanded Microgrid. In: Huang, DS., Hussain, A., Han, K., Gromiha, M. (eds) Intelligent Computing Methodologies. ICIC 2017. Lecture Notes in Computer Science(), vol 10363. Springer, Cham. https://doi.org/10.1007/978-3-319-63315-2_21

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  • DOI: https://doi.org/10.1007/978-3-319-63315-2_21

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-63314-5

  • Online ISBN: 978-3-319-63315-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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