Abstract
Significant penetration levels of distributed energy resources increase the likelihood of continued operation of a power system island after an islanding event. It is important to employ adequate islanding detection methods to mitigate the adverse effects of unintentional islanding and possibly transition to a safe islanded mode of operation. This paper focuses on the computational aspects of a class of methods that utilizes a change in the sensitivity parameters as an indicator of islanding events. It is shown that the inherent properties of the measurement signals cause numerical issues for the computation of the sensitivity parameters. The paper also analyses three algorithms for estimation of the coefficients that overcome the numerical issues. The performance of the algorithms has been demonstrated using synthetically generated measurements. In addition, the data from field experiments has been used to further illustrate the practical viability of the algorithms.
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