NDLI: Interpretation of frequency response analysis of power transformer based on evidence theory

Content Provider	IET Digital Library
Author	Shamlou, Alireza Feyzi, Mohammad Reza Behjat, Vahid
Abstract	Power transformers are one of the key components of power systems. Therefore, they must be operated efficiently to obtain satisfactory system performance, since any distortion or failure in power transformer structures may cause drastic damages. In order to detect deficiencies in power transformers, various methods are utilised. Frequency response analysis (FRA) is one of the most well-known methods used for fault detection in power transformers. However, the interpretation of FRA results is subjective, and depends primarily on the opinion of a human expert. In other words, there is no comprehensive, accepted and standardised method to interpret FRA results. Subsequently, fault detection based on FRA is prone to error. In this study, a new mathematical approach is used to interpret the frequency response of power transformers based on evidence theory method. This method is more accurate and less computationally burdensome compared to conventional methods. Simulations are implemented on an operating 125 MVA, 230/132/20 kV autotransformer using finite-element method and the results are compared to the corresponding FRA results of the same autotransformer in order to evaluate the proposed method. The obtained results indicate the efficiency of the proposed method in detecting probable faults of transformer windings through analysing the FRA results.
Starting Page	3879
Ending Page	3887
Page Count	9
ISSN	17518687
Volume Number	13
e-ISSN	17518695
Issue Number	Issue 17, Sep (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/13/17
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2019.0320
Journal	IET Generation, Transmission & Distribution
Publisher Date	2019-07-12
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Apparent Power 125.0 MVA Autotransformer Autotransformers Evidence Theory Method Fault Detection Fault Diagnosis Finite Element Analysis Finite Element Method FRA Frequency Response Frequency Response Analysis Mathematical Approach Power System Power Transformer Structure Transformer And Reactors Transformer Windings Voltage 132.0 KV Voltage 20.0 KV Voltage 230.0 KV
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

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