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09-07-2020 | Research Article-Electrical Engineering | Issue 8/2020

Arabian Journal for Science and Engineering 8/2020

A Passive Islanding Detection Algorithm Based on Modal Current and Adaptive Boosting

Journal:
Arabian Journal for Science and Engineering > Issue 8/2020
Authors:
Nimish Bhatt, Ashwani Kumar

Abstract

An effective and timely detection of islanding is a task of paramount importance to nullify the potential threat to field personnel and equipment damage. A passive islanding detection method based on modal current and adaptive boosting is proposed in the present work. The three-phase currents of the target distributed generation unit are converted into modal signals reducing the dataset. These modal currents are subsequently decomposed into mono-frequency components by employing empirical mode decomposition tool. The authentic mono-frequency components identified using correlation are transformed with the help of Hilbert transform. Various features like entropy, skewness, power, kurtosis, signal-to-noise ratio, and total harmonic distortion are obtained from Hilbert transform. Subsequently, these features act as the input for the adaptive boosting technique to categorize islanding and non-islanding classes. The results obtained explicitly demonstrate that the proposed methodology is highly accurate with reduced non-detection zone.

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