Nitin Kumar Kulkarni

TL;DR: In this article, 36 passive parameters have been considered and among them the best parameter(s) for islanding detection are obtained by applying a suitable performance ranking algorithm under various islanding and non-islanding cases for three different scenarios which are single point of common coupling (PCC) -single inverter DG, single PCC -multiple inverter DGs and multiple PCCs-multiple inverters DGs.

TL;DR: This review provides an insight into passive parameters (which are islanding detection indicators) considered by various researchers and their performance with respect to detection time, non-detection zone, performance in a noisy environment exclusively for passive schemes employing signal processing techniques, difficulty level and process of selecting threshold value(s).

TL;DR: The studies have been carried out in MATLAB SIMULINK environment and the results show that all the three passive islanding detection methods are prone to the possibility of false trips.

TL;DR: In this paper, the potential passive islanding detection candidates are obtained by suitably ranking 40 different passive parameters out of which 36 are extracted from a basic point of common coupling (PCC) voltage, inverter DG output current, phase angle, active and reactive power outputs of the source and remaining 4 are harmonic based voltage and current parameters.

TL;DR: In this article , an attempt has been made to obtain reliable passive applicants to be employed for anti-islanding protection in distributed generation (DG) source(s) by employing a relevant prioritization technique in MATLAB/SIMULINK environment.