£82.04

Springer Fault Analysis and Protection System Design for DC Grids (Power Systems)

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Description

Product Description This book offers a comprehensive reference guide to the important topics of fault analysis and protection system design for DC grids, at various voltage levels and for a range of applications. It bridges a much-needed research gap to enable wide-scale implementation of energy-efficient DC grids. Following an introduction, DC grid architecture is presented, covering the devices, operation and control methods. In turn, analytical methods for DC fault analysis are presented for different types of faults, followed by separate chapters on various DC fault identification methods, using time, frequency and time-frequency domain analyses of the DC current and voltage signals. The unit and non-unit protection strategies are discussed in detail, while a dedicated chapter addresses DC fault isolation devices. Step-by-step guidelines are provided for building hardware-based experimental test setups, as well as methods for validating the various algorithms. The book also features several application-driven case studies. From the Back Cover This book offers a comprehensive reference guide to the important topics of fault analysis and protection system design for DC grids, at various voltage levels and for a range of applications. It bridges a much-needed research gap to enable wide-scale implementation of energy-efficient DC grids. Following an introduction, DC grid architecture is presented, covering the devices, operation and control methods. In turn, analytical methods for DC fault analysis are presented for different types of faults, followed by separate chapters on various DC fault identification methods, using time, frequency and time-frequency domain analyses of the DC current and voltage signals. The unit and non-unit protection strategies are discussed in detail, while a dedicated chapter addresses DC fault isolation devices. Step-by-step guidelines are provided for building hardware-based experimental test setups, as well as methods for validating the various algorithms. The book also features several application-driven case studies. About the Author Abhisek Ukil received his B.Eng. degree in Electrical Engineering from Jadavpur University, Kolkata, India, in 2000, and his M.S. degree from the University of Bolton, UK, in 2004. He completed his Ph.D. degree at Pretoria (Tshwane) University of Technology, South Africa, where he worked on automated disturbance analysis in power systems, in 2006. Currently, he is an Associate Professor at the Department of Electrical, Computer and Software Engineering, University of Auckland, New Zealand. From 2013–2017, he was an Assistant Professor at the School of EEE, Nanyang Technological University, Singapore. From 2006–2013, he was Principal Scientist at the ABB Corporate Research Center, Baden-Daettwil, Switzerland. He holds 11 patents and is the author of more than 180 peer-reviewed papers, a monograph, and two book chapters. He is a Senior Member of the IEEE (USA) and a Registered Chartered Engineer (C.Eng.), UK. He is an Associate Editor of IEEE Transactions on Industrial Informatics and Electrical Engineering, published by Springer. His research interests include smart grids, DC grids, energy efficiency, renewable energy, energy storage, and condition monitoring. Yeap Yew Ming received his B.Eng. degree in Electrical Engineering from the University of Malaya, Kuala Lumpur, Malaysia, in 2013. He received his Ph.D. degree from Nanyang Technological University, Singapore, where he worked on fault detection in High-Voltage Direct Current (HVDC) systems, in 2018. Currently, he is a Scientist at the Institute for Infocomm Research (I 2R), Singapore, and is leading an industry project on EV as Co-Principal Investigator. He is the author of more than 20 peer-reviewed papers, and a reviewer for the journals IEEE Transactions on Industrial Electronics and Industrial Informatics. His research interests include smart grids, DC grids, power electron

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
14 April 2020
Listed Since
22 December 2019

Barcode

No barcode data available

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