Overview
- Presents a wide variety of test distribution systems for showcasing various methodologies
- Demonstrates the benefits of intelligent integration
- Is useful for distribution system planners, operation engineers, undergraduate and postgraduate students
- Includes supplementary material: sn.pub/extras
Part of the book series: Green Energy and Technology (GREEN)
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Table of contents (7 chapters)
Keywords
About this book
This book introduces several simple analytical approaches to aid the seamless integration of renewable distributed generation. It focuses on the idea of intelligent integration, which involves locating and developing suitable operational characteristics of renewable distributed generation. After reviewing the options available, the best location should be chosen, an appropriately sized operation should be installed and the most suitable operational characteristics should be adopted. Presenting these simple analytical approaches, their step-by-step implementation and a number of cases studies using test distribution systems, the book clearly demonstrates the technical, economic and environmental benefits of intelligent integration.
Authors and Affiliations
About the authors
Duong Quoc Hung received the M. Eng. degree in electric power system management from the Asian Institute of Technology, Bangkok, Thailand in May 2008 and the Ph.D. degree in electrical engineering from the University of Queensland, Brisbane, Australia in October 2014. Since August 2014, he has been a postdoctoral research fellow in the School of Information Technology and Electrical Engineering at the University of Queensland, Brisbane, Australia and in the School of Electrical and Information Engineering at the University of Sydney, Sydney, Australia. Prior to joining academia, he has ten years of industry experience as an electrical engineer in a power distribution company. His research interests include load forecasting, uncertainty modelling, planning and operation of smart distribution networks with emerging technologies: distributed renewable energy, energy storage and electric vehicles.
Kwang Y. Lee received the B.S. degree in Electrical Engineering in 1964 from Seoul National University, M.S. degree in Electrical Engineering in 1968 from North Dakota State University, and Ph. D. degree in Systems Science in 1971 from Michigan State University. He was elected as a Fellow of IEEE in January 2001 for his contributions to the development and implementation of intelligent system techniques for power plants and power systems control. He has been working in the area of power systems control for over thirty years at Michigan State, Oregon State, U. of Houston, Penn State, and Baylor University, where he is currently Professor and Chair of the Electrical and Computer Engineering Department. Dr. Lee has served as Editor of IEEE Transactions on Energy Conversion, Associate Editor of IEEE Transactions on Neural Networks, and Associate Editor of IFAC Journal on Control Engineering Practice. He is currently serving as the Chair of the IFAC Power & Energy Technical Committee and IEEE PES Working Group on Modern Heuristic Optimization Techniques. His research interests include control, operation, and planning of power and energy systems; intelligent control and their applications to power and energy systems; and modeling, simulation and control of micro-grids with renewable and distributed energy sources.
Bibliographic Information
Book Title: Intelligent Network Integration of Distributed Renewable Generation
Authors: Nadarajah Mithulananthan, Duong Quoc Hung, Kwang Y. Lee
Series Title: Green Energy and Technology
DOI: https://doi.org/10.1007/978-3-319-49271-1
Publisher: Springer Cham
eBook Packages: Energy, Energy (R0)
Copyright Information: Springer International Publishing AG 2017
Hardcover ISBN: 978-3-319-49270-4Published: 16 December 2016
Softcover ISBN: 978-3-319-84119-9Published: 05 July 2018
eBook ISBN: 978-3-319-49271-1Published: 09 December 2016
Series ISSN: 1865-3529
Series E-ISSN: 1865-3537
Edition Number: 1
Number of Pages: XV, 135
Number of Illustrations: 52 b/w illustrations
Topics: Renewable and Green Energy, Power Electronics, Electrical Machines and Networks, Energy Systems, Quality Control, Reliability, Safety and Risk, Operations Management