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Modeling Analysis of Network Spatial Sensitive Information Detection Driven by Big Data Read chapter Read first chapter

2019 | OriginalPaper | Chapter

Fault Feature Analysis of Power Network Based on Big Data

Author : Cai-yun Di

Published in: Advanced Hybrid Information Processing

Publisher: Springer International Publishing

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Abstract

During the operation of the power network, there was a sharp change in current and voltage at the time of failure, which made it difficult for the grid operators to quickly and accurately determine the fault. This paper proposed a big data-based power network fault feature analysis method design. Taking the symmetrical fault component method as the main analysis method, a two-phase short-circuit equivalent model was constructed by accurately analyzing the fault characteristics of the power network, and the fault features were detected and located by the big data network preprocessor. The experimental results shown that the big data power network fault feature analysis method could effectively feedback and locate the fault location and complete the maintenance of the power network in time.

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previous chapter Research on RF Fingerprinting Extraction of Power Amplifier Based on Multi-domain RF-DNA Fingerprint
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Metadata
Title
Fault Feature Analysis of Power Network Based on Big Data
Author
Cai-yun Di
Copyright Year
2019
Book
Advanced Hybrid Information Processing

Print ISBN: 978-3-030-36401-4

Electronic ISBN: 978-3-030-36402-1

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-030-36402-1_15

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