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Prediction of Rolling Force Based on a Fusion of Extreme Learning Machine and Self Learning Model of Rolling Force Read chapter Read first chapter

2018 | OriginalPaper | Chapter

Fault Analysis and Fault Diagnosis Method Review on Active Distribution Network

Authors : Zhang Tong, Liu Jianchang, Sun Lanxiang, Yu Haibin

Published in: Advances in Intelligent Systems and Interactive Applications

Publisher: Springer International Publishing

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Abstract

This paper analyses the current situation and researches the fault cause and the common fault type in active distribution network (ADN). The fault diagnosis methods are summarized and the advantage of the common methods are compared. The general problems consist in the current fault diagnosis methods of ADN are researched in this paper. Combining the development trend of ADN and the power supply reliability demand, the further research direction of ADN fault diagnosis method is proposed, which lays the foundation of the AND self healing and protection control.

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Metadata
Title
Fault Analysis and Fault Diagnosis Method Review on Active Distribution Network
Authors
Zhang Tong
Liu Jianchang
Sun Lanxiang
Yu Haibin
Copyright Year
2018
Book
Advances in Intelligent Systems and Interactive Applications

Print ISBN: 978-3-319-69095-7

Electronic ISBN: 978-3-319-69096-4

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-69096-4_88

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