A new Lissajous-based technique for islanding detection in microgrid

Abstract

This study presents a novel technique for islanding detection in microgrid based on Lissajous figure of voltage and current signals. The Lissajous figure reveals distinct pattern during islanding which can segregate the islanding event from other non-islanding disturbance events such as switching transients and faults. Lissajous figures have been considered as images to capture the characterizing patterns in their shapes. The area of the Lissajous figure has been considered for successive intervals to develop an index mathematically and an appropriate adaptive threshold value of index has been formulated to detect the islanding phenomenon. The proposed technique does not require the information about the network configuration. The efficacy of the proposed technique has been established through fast islanding detection with load inside the non-detection zone (NDZ) and under the condition of complete match between the distributed sources and the load. To establish the efficacy of the proposed technique, comparative analysis has been carried out with other recent islanding detection techniques.

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Identifiers

ORCID for Yadala Pavankumar: orcid.org/0000-0001-9211-8337

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