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A New Variational Mode Decomposition-Based Passive Islanding Detection Strategy for Hybrid Distributed Renewable Generations

  • Research Article--Electrical Engineering
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Abstract

In this article, we develop a novel passive islanding detection strategy for a hybrid distributed generation (DG) system that uses variational mode decomposition (VMD). The voltage signal's ripple content is evaluated at the point of common coupling (PCC). It splits the input voltage signal into its individual modes or intrinsic mode functions (IMFs). The upper envelope of first mode's IMF has been used for island detection. This strategy relies solely on internal, mutable, and variational processes. Results from the tests show that the suggested approach can reliably separate the islanding event from other events. Even with no power imbalance, the suggested approaches can identify islanding in about 0.15 s. It has been tested in a wide variety of operational scenarios and proved in non-island situations. The suggested solutions are easy to implement, since they do not require a classifier, also had no non-detection zone (NDZ), and function regardless of the amount and kind DG that might connect to the utility grid.

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Acknowledgements

This work was supported by the Interdisciplinary Research Center for Renewable Energy and Power Systems (IRC-REPS) at King Fahd University of Petroleum & Minerals (KFUPM) under Project No. INRE2321.

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Authors and Affiliations

  1. Department of Electrical and Electronics Engineering, Vels Institute of Science, Technology & Advanced Studies, Chennai, 600117, India

    Sareddy Venkata Rami Reddy & T. R. Premila

  2. Department of Electrical and Electronics Engineering, Joginpally B R Engineering College, Hyderabad, 500075, India

    Ch. Rami Reddy

  3. Department of Control & Instrumentation Engineering, King Fahd University of Petroleum & Minerals (KFUPM), Dhahran, 31261, Saudi Arabia

    Muhammad Majid Gulzar

  4. Electrical Engineering Department, King Fahd University of Petroleum & Minerals (KFUPM), Dhahran, 31261, Saudi Arabia

    Muhammad Khalid

  5. IRC for Renewable Energy and Power Systems (IRC-REPS), KFUPM, Dhahran, 31261, Saudi Arabia

    Muhammad Majid Gulzar & Muhammad Khalid

  6. SDAIA-KFUPM Joint Research Center for Artificial Intelligence, Dhahran, 31261, Saudi Arabia

    Muhammad Khalid

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  1. Sareddy Venkata Rami Reddy
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  2. T. R. Premila
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  3. Ch. Rami Reddy
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  4. Muhammad Majid Gulzar
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  5. Muhammad Khalid
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Correspondence to Muhammad Khalid.

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Reddy, S.V.R., Premila, T.R., Reddy, C.R. et al. A New Variational Mode Decomposition-Based Passive Islanding Detection Strategy for Hybrid Distributed Renewable Generations. Arab J Sci Eng 48, 15435–15443 (2023). https://doi.org/10.1007/s13369-023-08103-1

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