- Taghi Hosseinzadeh Khonakdari: Department of Electrical Engineering, Sari Branch, Islamic Azad University, Sari, Iran.
- Mehrdad Ahmadi Kamarposhti: Department of Electrical Engineering, Jouybar Branch, Islamic Azad University, Jouybar, Iran. ORCID
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.