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Islanding Detection of Synchronous Distributed Generator Based on the Active and Reactive Power Control Loops

Author

Listed:
  • Reza Zamani

    (Department of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan 84156-83111, Iran)

  • Mohamad-Esmail Hamedani-Golshan

    (Department of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan 84156-83111, Iran)

  • Hassan Haes Alhelou

    (Department of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan 84156-83111, Iran
    Department of Electrical Power Engineering, Faculty of Mechanical and Electrical Engineering, Tishreen University, 2230 Lattakia, Syria)

  • Pierluigi Siano

    (Department of Management & Innovation Systems, University of Salerno, 84084 Salerno, Italy)

  • Hemanshu R. Pota

    (School of Engineering and Information Technology, The University of New South Wales, Canberra 2610, Australia)

Abstract

There has been a considerable importance for the islanding detection due to the growing integration of distributed generations (DGs) in the modern power grids. This paper proposes a novel active islanding detection scheme for synchronous DGs, considering two additional compensators and a positive feedback for each of active and reactive power control loops. The added blocks are designed using the small gain theorem and stability margins definition considering characteristics of open loop transfer functions of synchronous DG control loops. Islanding can be detected using the proposed method even where there is an exact match between generation and local load without sacrificing power quality. In addition, the performance of the proposed method can be retained even with high penetration of motor loads. The proposed scheme improves the stability and power quality of the grid, when the synchronous DG is subjected to the grid-connected disturbances. Furthermore, this method augments the stability margins of the system in the grid-connected conditions to enhance the disturbances ride-through capability of the system and reduce the negative impact of the active methods on the power quality. Simultaneous advantages of the proposed scheme are demonstrated by modeling a test system in MATLAB software and time-domain simulation achieved by PSCAD.

Suggested Citation

  • Reza Zamani & Mohamad-Esmail Hamedani-Golshan & Hassan Haes Alhelou & Pierluigi Siano & Hemanshu R. Pota, 2018. "Islanding Detection of Synchronous Distributed Generator Based on the Active and Reactive Power Control Loops," Energies, MDPI, vol. 11(10), pages 1-15, October.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:10:p:2819-:d:176759
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    References listed on IDEAS

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    1. Hassan Haes Alhelou & Mohamad-Esmail Hamedani-Golshan & Reza Zamani & Ehsan Heydarian-Forushani & Pierluigi Siano, 2018. "Challenges and Opportunities of Load Frequency Control in Conventional, Modern and Future Smart Power Systems: A Comprehensive Review," Energies, MDPI, vol. 11(10), pages 1-35, September.
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    Cited by:

    1. Arash Abyaz & Habib Panahi & Reza Zamani & Hassan Haes Alhelou & Pierluigi Siano & Miadreza Shafie-khah & Mimmo Parente, 2019. "An Effective Passive Islanding Detection Algorithm for Distributed Generations," Energies, MDPI, vol. 12(16), pages 1-19, August.
    2. Faisal Mumtaz & Kashif Imran & Abdullah Abusorrah & Syed Basit Ali Bukhari, 2023. "An Extensive Overview of Islanding Detection Strategies of Active Distributed Generations in Sustainable Microgrids," Sustainability, MDPI, vol. 15(5), pages 1-19, March.
    3. Karthikeyan Subramanian & Ashok Kumar Loganathan, 2020. "Islanding Detection Using a Micro-Synchrophasor for Distribution Systems with Distributed Generation," Energies, MDPI, vol. 13(19), pages 1-31, October.
    4. Hassan Haes Alhelou & Mohamad Esmail Hamedani-Golshan & Takawira Cuthbert Njenda & Pierluigi Siano, 2019. "A Survey on Power System Blackout and Cascading Events: Research Motivations and Challenges," Energies, MDPI, vol. 12(4), pages 1-28, February.
    5. S. Ananda Kumar & M. S. P. Subathra & Nallapaneni Manoj Kumar & Maria Malvoni & N. J. Sairamya & S. Thomas George & Easter S. Suviseshamuthu & Shauhrat S. Chopra, 2020. "A Novel Islanding Detection Technique for a Resilient Photovoltaic-Based Distributed Power Generation System Using a Tunable-Q Wavelet Transform and an Artificial Neural Network," Energies, MDPI, vol. 13(16), pages 1-22, August.

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