NDLI: A New Algorithm to Identify Magnetizing Inrush Conditions Based on Instantaneous Frequency of Differential Power Signal

Content Provider	IEEE Xplore Digital Library
Author	Hooshyar, A. Afsharnia, S. Sanaye-Pasand, M. Ebrahimi, B.M.
Copyright Year	1986
Abstract	This paper presents a novel algorithm to recognize magnetizing inrush condition in power transformers by analyzing average differential power signal. The algorithm is independent of the value of transformer parameters and consumed power and relies only on the waveshape properties of the average power signal. These distinctive properties are obtained from the power signal by determining its instantaneous frequency. Extensive simulation studies presented in this paper demonstrate the merits of the proposed technique in discriminating between fault and inrush cases accurately in less than a quarter cycle. The accuracy and speed of the method is unaffected by changing parameters of the transformer or for different operating conditions of the power system, since it is based on a fundamental difference between iron-core saturation and other operating conditions. Since the employed signatures are extracted from the low-frequency spectrum of the power signal, the algorithm is robust against high-frequency noise.
Sponsorship	IEEE Power Engineering Society
Starting Page	2223
Ending Page	2233
Page Count	11
File Size	627395
File Format	PDF
ISSN	08858977
Volume Number	25
Issue Number	4
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-10-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Surges Frequency Signal processing Power transformers Saturation magnetization Circuit faults Power system simulation Signal analysis Magnetic analysis Algorithm design and analysis transformer protection Instantaneous frequency magnetizing inrush condition power differential relaying
Content Type	Text
Resource Type	Article
Subject	Energy Engineering and Power Technology Electrical and Electronic Engineering

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