Open AccessIslanding detection method based on system identification
Author(s) -
Liu Shihan,
Li Yanjun,
Xiang Ji,
Ji Feifan
Publication year - 2016
Publication title -
iet power electronics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.637
H-Index - 77
eISSN - 1755-4543
pISSN - 1755-4535
DOI - 10.1049/iet-pel.2015.0646
Subject(s) - islanding , identification (biology) , computer science , engineering , biology , electrical engineering , distributed generation , botany , renewable energy
Islanding detection is a crucial technique for distributed generation (DG) system. An islanding detection method based on system identification is proposed in this study. Regarding the grid as an RLC load, a recursive least square method is used to estimate the equivalent RLC parameters. Then a logistic regression classifier is applied to determine whether DG is disconnected from the grid or not by the data sets of the estimated parameters of the system. An experiment demonstrates that the algorithm is effective and fast for detecting an islanding event.