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Real-time detection of microgrid islanding considering sources of uncertainty using type-2 fuzzy logic and PSO algorithm

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  • Taghi Hosseinzadeh Khonakdari
  • Mehrdad Ahmadi Kamarposhti

Abstract

In this paper, a new innovative type-2 fuzzy-based for microgrid (MG) islanding detection is proposed in the condition of uncertainties. Load and generation uncertainties are two main sources of uncertainties in microgrids (MGs). Regardless of the uncertainties, the results cannot be confirmed. The proposed controller detects islanding in the fastest time under different conditions, and the uncertainties in the system will not considerably affect the controller’s performance. The proposed method is simulated on the sample system and examined in different scenarios. Then, a comparison is made in different conditions and scenarios between the suggested method and some common methods that have been presented so far to demonstrate the ability of the proposed method for islanding detection.

Suggested Citation

  • Taghi Hosseinzadeh Khonakdari & Mehrdad Ahmadi Kamarposhti, 2021. "Real-time detection of microgrid islanding considering sources of uncertainty using type-2 fuzzy logic and PSO algorithm," PLOS ONE, Public Library of Science, vol. 16(9), pages 1-18, September.
    • Handle: RePEc:plo:pone00:0257830
    DOI: 10.1371/journal.pone.0257830
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    References listed on IDEAS

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    1. Ku Ahmad, Ku Nurul Edhura & Selvaraj, Jeyraj & Rahim, Nasrudin Abd, 2013. "A review of the islanding detection methods in grid-connected PV inverters," Renewable and Sustainable Energy Reviews, Elsevier, vol. 21(C), pages 756-766.
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