Open AccessIslanding detection method of distribution generation system based on logistic regression
Author(s) -
Haoran Chen,
Jianyuan Xu,
Hui Li,
Guoqiang Chen,
Yuanyu Jiang,
Shengwei Cai,
Jiangbo Chen
Publication year - 2019
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2018.8794
Subject(s) - islanding , matlab , computer science , logistic regression , stability (learning theory) , power (physics) , feature (linguistics) , network topology , distributed generation , real time computing , machine learning , computer network , physics , linguistics , philosophy , quantum mechanics , operating system
Islanding operation will harm the safety and stability of the power system, in the occurrence of island operation which must be in the specified time to monitor it. Here, the logical regression algorithm is introduced into the islanding operation monitoring. First, an accurate distributed generation system model is established in Matlab environment. The model considers various possible island operating states, minimum monitorable area, multiple distributed power supplies, various operating conditions, and different network topologies, and then uses. The data feature quantity under various island operating conditions is trained in the TensorFlow environment. Finally, the trained model is used to monitor the islanding status. The results show the feasibility of the method.