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Mathematical morphology-based islanding detection for distributed generation

This study proposes a novel method based on mathematical morphology (MM) for islanding detection in micro-grid integrated with distributed generation (DG). The method uses basic MM operators like dilate erode difference filter (DEDF) to operate on three-phase voltage and current signals on target DG...

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Bibliographic Details
Published in:IET generation, transmission & distribution transmission & distribution, 2016-02, Vol.10 (2), p.518-525
Main Authors: Farhan, Musliyarakath Aneesa, Shanti Swarup, K
Format: Article
Language:English
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Summary:This study proposes a novel method based on mathematical morphology (MM) for islanding detection in micro-grid integrated with distributed generation (DG). The method uses basic MM operators like dilate erode difference filter (DEDF) to operate on three-phase voltage and current signals on target DG location. These filter output values are fed to a new operator defined as the average of the difference between maximum and minimum value of DEDF at each structuring element called KV and KI. Accordingly, a new operator called the MM ratio index (MM RI) of KI to KV is derived. The MM RI computed is used to track the islanding condition from non-islanding condition. Additionally, to further aid the islanding detection, a mathematical morphological operator close open difference filter on negative sequence voltage is computed, which is passed through a difference operator D. The proposed method is analysed extensively to efficiently detect islanding in electrical power distribution network integrated with DG.
ISSN:1751-8687
1751-8695
1751-8695
DOI:10.1049/iet-gtd.2015.0910