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Electric Energy Losses Estimation in Power Distribution System—Tuzla Canton Case Study Read chapter Read first chapter

2018 | OriginalPaper | Chapter

Application of Teager Energy Operator for the Power System Fault Identification and Localisation

Authors : Nejra Čišija-Kobilica, Samir Avdaković

Published in: Advanced Technologies, Systems, and Applications II

Publisher: Springer International Publishing

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Abstract

Power system is constantly exposed to the disturbances. Some disturbances can cause cascading propagation and outages of other generators or transmission lines in the system. Finally that can lead to the partial or total system blackout. Wide Area Monitoring Protection and Control (WAMPAC) systems based on phasor measurement units (PMU) are strongly improving in order to eventually prevent these dangerous occurences. This platform presents base for the development of the smart grids. One of the requirements for the smart power systems is presence of the algorithms for fast and correct fault identification and localisation. In this paper Teager Energy Operator (TEO) is proposed for the processing and analysis of the synchronized measurement signals in order to perform fault identification and localisation. Several fault types are simulated in the NE 39 bus test system using DigSILENT Power Factory software. Results of the fault identification and localisation are compared with Discrete Wavelet Transform (DWT).

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previous chapter Electric Energy Losses Estimation in Power Distribution System—Tuzla Canton Case Study
next chapter Analysis and Control of DG Influence on Voltage Profile in Distribution Network
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Metadata
Title
Application of Teager Energy Operator for the Power System Fault Identification and Localisation
Authors
Nejra Čišija-Kobilica
Samir Avdaković
Copyright Year
2018
Book
Advanced Technologies, Systems, and Applications II

Print ISBN: 978-3-319-71320-5

Electronic ISBN: 978-3-319-71321-2

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-71321-2_2

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