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Logic Operation Model of the Complementer Based on Two-Domain DNA Strand Displacement Read chapter Read first chapter

2017 | OriginalPaper | Chapter

An Improved Spiking Neural P Systems with Anti-Spikes for Fault Location of Distribution Networks with Distributed Generation

Authors : Chengyu Tao, Jun Wang, Tao Wang, Yanxiang Yang

Published in: Bio-inspired Computing: Theories and Applications

Publisher: Springer Singapore

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Abstract

This paper proposes a method for fault location in distribution networks with distributed generation based on an improved spiking neural P system with anti-spikes (IASNP system). In the IASNP system, firing mechanism, fuzzy logic, new types of neurons and a matrix algorithm are introduced. The IASNP system is used to model the distribution networks while its matrix algorithm locates faults by considering the causality between regions and the associated nodes. Finally, two cases, including a multi source distribution network and distribution network with distributed generation, are used to verify the validity and accuracy of the proposed method.

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previous chapter The Logic Circuit Design of Fire Alarm System Device by DNA Strand Displacement
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Metadata
Title
An Improved Spiking Neural P Systems with Anti-Spikes for Fault Location of Distribution Networks with Distributed Generation
Authors
Chengyu Tao
Jun Wang
Tao Wang
Yanxiang Yang
Copyright Year
2017
Publisher
Springer Singapore
Book
Bio-inspired Computing: Theories and Applications

Print ISBN: 978-981-10-7178-2

Electronic ISBN: 978-981-10-7179-9

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-981-10-7179-9_29

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