Open AccessOn active anti-islanding techniques: survey
Author(s) -
Yasser Ahmed Elshrief,
Sameh AbdElhaleem,
Belal A. Abo Zalam,
Amin Danial Asham
Publication year - 2021
Publication title -
indonesian journal of electrical engineering and computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.241
H-Index - 17
eISSN - 2502-4760
pISSN - 2502-4752
DOI - 10.11591/ijeecs.v22.i2.pp609-618
Subject(s) - islanding , grid , power (physics) , computer science , power grid , ac power , point (geometry) , voltage , engineering , control (management) , electronic engineering , electrical engineering , control theory (sociology) , distributed generation , physics , mathematics , artificial intelligence , geometry , quantum mechanics , renewable energy
The phenomenon of feeding loads from any distributed generators (DGs) with a total disconnection of utility grid at the point of common coupling is called Islanding. The DGs are usually independently controlled. Hence, when the islanding problem occurs, the electric utility loses the control and supervision over that section of the power grid. Furthermore, prolonged islanding can prevent reconnection to the power grid and may cause damage due to voltage and frequency excursions. Therefore, the islanding detection, which is also called anti-islanding (AI), is one of the most critical aspects of the integration of DG sources into the power grid. In this paper, a comprehensive survey on the local AI techniques is illustrated, especially active type which is used for improving the performance regarding the size of the non-detection zone and detection speed. Extensive comparisons are provided to demonstrate the effectiveness of each technique.