Smart Passive Islanding Detection Technique based on Time-varying Kalman Algorithm

In the modern world, renewable energy-based distributed generations (REBDGs) pose many challenges. Islanding detection is one of the major problems associated with REBDGs. This paper proposes a new passive Islanding detection technique using the Time-varying Kalman Filter (TVKF) algorithm. Initially, the TVKF algorithm is applied for the state estimation of the 3-phase voltage signal at PCC. Furthermore, the Squared Sum of Voltage (SSV) is calculated as an index for islanding detection. However, the islanding event is detected when the SSV is less than the pre-defined threshold value. A standard IEEE-13 bus test system is implemented in MATLAB/Simulink for analyzing the performance of the proposed technique. It is cost-effective & results validate the accuracy and efficiency of the scheme without any non-detection zone (NDZ).