Open AccessReal-time detection of microgrid islanding considering sources of uncertainty using type-2 fuzzy logic and PSO algorithm
Author(s) -
Taghi Hosseinzadeh Khonakdari,
Mehrdad Ahmadi Kamarposhti
Publication year - 2021
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0257830
Subject(s) - islanding , microgrid , fuzzy logic , control theory (sociology) , controller (irrigation) , computer science , particle swarm optimization , algorithm , control engineering , distributed generation , control (management) , engineering , biology , artificial intelligence , renewable energy , agronomy , electrical engineering
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.