Power Transformer Online Monitoring Using Electromagnetic Waves

1st Edition - February 9, 2023
Imprint: Academic Press
Authors: Gevork B. Gharehpetian, Hossein Karami
Language: English
Paperback ISBN:
9 7 8 - 0 - 1 2 - 8 2 2 8 0 1 - 2
eBook ISBN:
9 7 8 - 0 - 1 2 - 8 2 2 8 0 2 - 9

Power Transformer Online Monitoring using Electromagnetic Waves explores how to use electromagnetic wave technology and remote monitoring systems to predict and localize costly me… Read more

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Power Transformer Online Monitoring using Electromagnetic Waves explores how to use electromagnetic wave technology and remote monitoring systems to predict and localize costly mechanical defects and partial discharge challenges in high voltage transformer windings. This innovative approach brings several potential benefits compared with conventional techniques such as frequency response analysis, including impermeability to ambient noise, and online implementation capability. This book reviews both fundamental and state-of-the-art information about all key aspects of condition monitoring using electromagnetic waves. It addresses the simulation of power transformers in CST environment while also explaining the theoretical background of boundary conditions used. Chapters review how to achieve practical online implementation, reliable diagnosis, asset management and remnant life estimation. Partial discharge detection is also discussed.　　

Cover image
Title page
Table of Contents
Copyright
Preface
Chapter 1. An introduction to power transformer monitoring
1.1. Monitoring methods classification
1.2. Monitoring of mechanical defects
Chapter 2. Using electromagnetic waves for mechanical defects monitoring
2.1. Transformer winding deformation types
2.2. Mechanical forces on windings
2.3. Drawbacks of previous methods
2.4. Partial discharge and EMWs
2.5. Advantages of EMW-based approach
2.6. EMW-based monitoring methods and comparison approaches
Chapter 3. Introduction to ultra wide band (UWB) systems
3.1. Concepts of UWB systems
3.2. Power spectrum density of ultra wideband systems
3.3. Specifications of ultra wideband systems
3.4. Ultra wideband system applications
3.5. Conclusion
Chapter 4. UWB wave emission channel transfer function estimation
4.1. Loss of propagation path
4.2. Signal waveform deformation during sending, propagating and receiving
4.3. Models of transfer function between transmitter and receiver
4.4. Estimating transfer function between transmitter and receiver
4.5. Experimental setup
4.6. Transfer function estimation based on experimental studies
4.7. Using transfer function for fault detection
4.8. Summary
Chapter 5. Analyzing EMWs using wavelet transform
5.1. Fourier transform
5.2. Short-time Fourier transform
5.3. Wavelet transform
5.4. Applications of wavelet transform on measured data and analysis of results
5.5. Summary
Chapter 6. Frequency domain analysis of scattering parameters in transformers
6.1. Concept of scattering parameter
6.2. Effect of mechanical defect on S-parameter
6.3. Defect detection using classification method
6.4. Experimental results
6.5. Advantages and disadvantages
Chapter 7. Time domain analysis of EMWs in transformers
7.1. Simulation in CST software
7.2. Experimental study
Chapter 8. Syntactic aperture radar imaging
8.1. Concept of syntactic aperture radar
8.2. Imaging using SAR methods
8.3. Defects detection using SAR imaging method
8.4. PD effects on SAR imaging method
8.5. Designing and implementing monitoring system
Chapter 9. Hyperbolic method
9.1. Description of method
9.2. Simulation results
9.3. Assessing laboratory results
9.4. Effects of PD on hyperbolic method
Chapter 10. Partial discharge monitoring using EMWs
10.1. Partial discharge defect introduction
10.2. Partial discharge monitoring methods
10.3. Comparing partial discharge detection methods
10.4. EMW-based detection method
10.5. Time difference of arrival method
10.6. Simulation of PD in power transformer
10.7. Simulation results of locating PD
Index

Gevork B. Gharehpetian

Prof. G. B. Gharehpetian received his BS, MS and PhD degrees in electrical engineering in 1987, 1989 and 1996 from Tabriz University, Tabriz, Iran and Amirkabir University of Technology (AUT), Tehran, Iran and Tehran University, Tehran, Iran, respectively, graduating all with First Class Honors. As a PhD student, he has received scholarship from DAAD (German Academic Exchange Service) from 1993 to 1996 and he was with High Voltage Institute of RWTH Aachen, Aachen, Germany.

He has been holding the Assistant Professor position at AUT from 1997 to 2003, the position of Associate Professor from 2004 to 2007 and has been Professor since 2007.

He was selected by the MSRT (Ministry of Science Research and Technology) as the distinguished professor of Iran, by IAEEE (Iranian Association of Electrical and Electronics Engineers) as the distinguished researcher of Iran, by Iran Energy Association (IEA) as the best researcher of Iran in the field of energy, by the MSRT as the distinguished researcher of Iran, by the Academy of Science of the Islamic Republic of Iran as the distinguished professor of electrical engineering, by National Elites Foundation as the laureate of Alameh Tabatabaei Award, by National Elites Foundation as the laureate of Sheikh Mofid Award and was awarded the National Prize in 2008, 2010, 2018, 2018, 2019, 2019 and 2024, respectively. Based on the Web of Science database (2005-2023), he is among world’s top 1% elite scientists according to ESI (Essential Science Indicators) ranking system.

Prof. Gharehpetian is distinguished, senior and distinguished member of CIGRE, IEEE and IAEEE, respectively. Since 2004, he has been the Editor-in-Chief of the Journal of IAEEE.

He is the author of about 1500 journal and conference papers. His teaching and research interests include Smart Grid, Microgrids, FACTS and HVDC Systems, Monitoring of Power Transformers and its Transients.

Relevant Courses taught: Electrical Machines (II): The object of this course is to provide a foundation in the concepts and transformers and induction machines. Microgrids & Smart Grids: The object of this course is to provide a foundation in the concepts and applications of Micro and Smart Grids. Distributed Generation: The object of this course is to become familiar with the basics of the distributed power generation and their application merits and demerits in distribution system or stand-alone operation mode. FACTS: The object of this course is to provide a foundation in the concepts and application of FACTS devices in power systems. Modern Power System Elements: This course aims to provide a comprehensive, objective portrait of the future of the electric grid and the challenges and opportunities it is likely to face over the next two decades considering the new developments and research in power systems. Foundation of this book.

Affiliations and expertise

Professor, Amirkabir University of Technology, Tehran, Iran

Hossein Karami

Hossein Karami received his Ph.D. degree from the Electrical Engineering Department of Amirkabir University of Technology (AUT), Tehran, Iran, in 2017. His Ph.D. thesis was about the feasibility of simultaneously partial discharge localization and synthetic-aperture radar imaging of power transformer windings using electromagnetic antennas. He was selected by National Elites Foundation as the laureates of Shahid Chmaran Award and a Postdoctoral Researcher with AUT worked on the development and optimization of methods for objective interpretation of frequency response analysis (FRA) test results in power transformers. He has been holding the Assistant Professor position at Niroo Research Institute (NRI) since 2020. He is the author of 4 patents and more than 80 journal and conference papers. His research interests include online monitoring, power transformers, partial discharge, FRA test results interpretation, artificial intelligence, energy management, and optimal scheduling.

Affiliations and expertise

Assistant Professor, Niroo Research Institute (NRI), Tehran, Iran

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