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.
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Table of Contents
1. Introduction to Power Transformer Monitoring2. Using Electromagnetic Waves (EMWs) for Mechanical Defects Monitoring
3. Introduction to Ultra-Wide Band (UWB) Systems
4. UWB Wave Emission Channel Transfer Function Estimation
5. Analyzing EMWs Using Wavelet Transform
6. Frequency Domain Analysis of EMWs
7. Time Domain Analysis of EMWs
8. Syntactic Aperture Radar Imaging
9. Hyperbolic Method
10. EMWs and Partial Discharge Monitoring
Authors
Gevork B. Gharehpetian Professor, Amirkabir University of Technology, Tehran, Iran. Prof. Gevork B. Gharehpetian has been a Professor since 2007, in the Department of Electrical Engineering at Amirkabir University of Technology, Iran. He also worked with the High Voltage Institute of RWTH Aachen, Germany. He has received several honors, including being selected by the Ministry of Science Research and Technology as a Distinguished Professor of Iran; by the Iranian Association of Electrical and Electronics Engineers as a Distinguished Researcher of Iran; by the Iran Energy Association as the best Iranian researcher in Energy; by the Academy of Science of the Islamic Republic of Iran as a Distinguished Professor of Electrical Engineering; and by the National Elites Foundation for the Laureates of Alameh Tabatabaei Award. He was also awarded the National Prize in 2008, 2010, 2018 (twice), and 2019 (twice). Based on the Web of Science Database (2005-2019), he is among world's top 1% of elite scientists by Essential Science Indicators.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. Hossein Karami Assistant Professor, Niroo Research Institute (NRI), Tehran, Iran. 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.
