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2020 | OriginalPaper | Chapter

An Integrated Fault Classification Approach for Microgrid System

Authors : Ruchita Nale, Ruchi Chandrakar, Monalisa Biswal

Published in: Data Management, Analytics and Innovation

Publisher: Springer Singapore

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Abstract

In this paper, a moving windowing approach-based integrated fault classification algorithm is proposed for microgrid system. In a microgrid system, the nonlinear operation of control devices connected to distributed generation (DG) imposes problem for identifying the exact faulty class. In order to mitigate this issue, an integrated moving window averaging technique (IMWAT) is proposed. The method utilizes current signal at the line end. In this technique, first, the decision of the fault detection unit (FDU) is analyzed and based on that fault class is detected. The FDU uses the conventional moving window averaging technique. Different logics are framed to identify the symmetrical and unsymmetrical faults. The method is tested on a standard microgrid network and obtained results for different fault cases prove the efficacy of the proposed method.

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Metadata
Title
An Integrated Fault Classification Approach for Microgrid System
Authors
Ruchita Nale
Ruchi Chandrakar
Monalisa Biswal
Copyright Year
2020
Publisher
Springer Singapore
DOI
https://doi.org/10.1007/978-981-32-9949-8_4