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2023 | OriginalPaper | Buchkapitel

Comparative Analysis of Different Signal Processing Schemes for Islanding Detection in Microgrid

verfasst von : Prajna Parimita Mishra, Chandrashekhar Narayan Bhende, Akshaya Kumar Pati

Erschienen in: Smart Technologies for Power and Green Energy

Verlag: Springer Nature Singapore

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Abstract

In this paper, islanding detection in a microgrid scenario is analyzed by using the signal processing techniques such as the S-transform method (ST), Sparse S-transform (SST), variational mode decomposition method (VMD) and total variation filtering method (TVF). To get a clear picture of the comparison, all the detection schemes are evaluated in the standard 13-bus distribution system. In this paper, the PCC voltage of a three-phase system is utilized for further signal processing and subsequent feature selection procedure. The extracted voltage is also called as modal voltage. Various monitoring parameters have been considered to check the effectiveness of the selected threshold and subsequent islanding detection. Further, the detailed overview of above-mentioned methods has been thoroughly discussed.

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Titel: Comparative Analysis of Different Signal Processing Schemes for Islanding Detection in Microgrid
verfasst von: Prajna Parimita Mishra
Chandrashekhar Narayan Bhende
Akshaya Kumar Pati
Verlag: Springer Nature Singapore
Buch: Smart Technologies for Power and Green Energy
Print ISBN: 978-981-19-2763-8

Electronic ISBN: 978-981-19-2764-5

Copyright-Jahr: 2023
DOI: https://doi.org/10.1007/978-981-19-2764-5_28

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