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.
Background: Nowadays, in microgrids based on renewable energy resources (RESs), the uncertainties of load and power generation of distributed generation (DGs) resources is inevitable, which if not taken into account, will lead to errors in network analysis. Results: In this paper, a new method based on type-2 fuzzy logic isproposed to detect microgrid islanding; in whichthe power system does not misoperateduring complex operations, can correctly discriminate the microgrid islandingand other network events at the proper time, and prevent the undesirable performance of DGs. This controller detects islanding in the fastest time under different conditions, and the uncertainties in the system will not considerablyaffect the controller's performance. Conclusions: 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 determine the ability of the proposed method to detect islanding.
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