Prioritization of different passive parameters for islanding detection on the basis of response analysis

Abstract

This paper prioritizes the different passive parameters on the basis of performance capability in selecting the parameters for intelligent islanding detection techniques. The responses of 16 different passive parameters are analyzed under all possible islanding and non-islanding conditions. As a result of this, it has been found that rate of change of frequency over reactive power shows the highest capability to distinguish islanding from other events of similar signatures followed by rate of change of reactive power and rate of change of power.