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Proceedings ArticleDOI

Islanding detection scheme based on morphological wavelets

TL;DR: A new islanding detection scheme in time domain based on Mathematical morphology is proposed that uses the Morphological gradient wavelet (MGW) to operate on voltage and current in any phase.
Abstract: Unintentional islanding is a critical issue in the integration of distributed generation to the power distribution network. Islanding detection or anti islanding protection for a distribution generation is important in this regard. The paper proposes a new islanding detection scheme in time domain based on Mathematical morphology. The detection technique uses the Morphological gradient wavelet(MGW) to operate on voltage and current in any phase. The Norm of the voltage and current after passing through the MGW is calculated. This ratio is used as a criteria for detecting an island. Simulations are carried out for different islanding and non islanding events to study the effectiveness of the algorithm.
Citations
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Journal ArticleDOI
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).
Abstract: Unintentional islanding is one of the serious concerns to be addressed when interfacing a distributed generation source, as it causes damage to the equipment and personnel. Many algorithms have been proposed for islanding detection in the literature which are classified into local methods (passive, active and hybrid), communication-based methods, and methods employing signal processing and classifiers techniques. Out of which, passive islanding detection methods have been mostly adopted in practice since they have an edge over other islanding detection methods (IDMs) such as there is no degradation of power quality as in active methods and are simple to implement and cheap as compared to communication-based methods. Therefore, in this paper, an attempt has been made to systematically put forward a detailed review of islanding detection methods exclusively with a passive approach. 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 (also known as run-on-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). Additionally, this review provides a brief account on the future role of passive schemes and also passive IDMs incorporating ride-through requirements in compliance with recent interconnection standards.

6 citations

Journal ArticleDOI
TL;DR: A broad assessment about islanding detection methods with their limitations and benefits are explained with respect to accuracy, detection time and non-detection zone in this paper , where comparative assessments of different IDMs are listed in tabulation for conveniently judging the most economical and efficient approach.

2 citations

References
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Journal ArticleDOI
TL;DR: In this paper, a new technique for islanding detection in distributed generation (DG) using time-frequency transform such as S -transform is presented, where the spectral energy index (ratio of spectral energy content of the voltage to current signals) is computed to track the islanding situation from non-islanding conditions from sudden load change, tripping of other DG, etc.
Abstract: This study presents a new technique for islanding detection in distributed generation (DG) using time-frequency transform such as S -transform. S -transform is an invertible time-frequency spectral localisation technique that provides the time-frequency contours of the voltage and current signals retrieved at the target DG location. The energy index (ratio of the spectral energy content of the voltage to current signals) is computed to track the islanding situation from non-islanding conditions such as sudden load change, tripping of other DG, etc. Further, to aid the islanding detection scheme, a cumulative sum detector is also computed based on the spectral energy content of the negative sequence components of the current and voltage signals. The results, based on extensive study, indicate that the proposed technique can reliably detect islanding in DGs connected to power distribution network.

42 citations


"Islanding detection scheme based on..." refers methods in this paper

  • ...These techniques include Duffing oscillations [10], wavelet [11] and S transform [12] etc....

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