Logistic Regression based Islanding Detection for Grid-Connected Inverter

Islanding will damage the protection and reliability of the power system; it must be detected by the control system within a particular time. Here, a logistic regression algorithm is implemented for the islanding monitoring. Firstly, an inverter-based distributed power generation system model is defined in MATLAB/ SIMULINK. The model covers different possible island conditions, minimum observable parameters, multiple inverter-based distributed power supplies and then applies. The data extracted from the above island conditions are trained in the proposed data-driven algorithm. Finally, the proposed trained model is applied to detect the islanding status. The results do achieve the feasibility of the method.