Smart Grid Communications and Networking
The smart grid will transform the way power is delivered, consumed and accounted for. Adding intelligence through the newly networked grid will increase reliability and power quality, improve responsiveness, increase efficiency and provide a platform for new applications. This one-stop reference covers the state-of-the-art theory, key strategies, protocols, applications, deployment aspects and experimental studies of communication and networking technologies for the smart grid. Through the book's twenty chapters, a team of expert authors cover topics ranging from architectures and models through to integration of plug-in hybrid vehicles and security. Essential information is provided for researchers to make progress in the field and to allow power systems engineers to optimize communication systems for the smart grid.
- Hardback | 510 pages
- 208 x 276 x 36mm | 1,501.38g
- 04 Jul 2014
- CAMBRIDGE UNIVERSITY PRESS
- Cambridge, United Kingdom
- 154 b/w illus. 33 tables
Table of contents
Part I. Communication Architectures and Models for Smart Grid: 1. Communication networks in smart grid: an architectural view Nipendra Kayastha, Dusit Niyato, Ping Wang and Ekram Hossain; 2. New models for networked control in smart grid Anna Scaglione, Zhifang Wang and Mahnoosh Alizadeh; 3. Demand-side management for smart grid: opportunities and challenges Pedram Samadi, Hamed Mohsenian-Rad, Vincent W. S. Wong and Robert Schober; 4. Vehicle-to-grid systems: ancillary services and communications Chenye Wu, Amir-Hamed Mohsenian-Rad and Jianwei Huang; Part II. Physical Data Communications, Access, Detection, and Estimation Techniques for Smart Grid: 5. Communications and access technologies for smart grid Sara Bavarian and Lutz Lampe; 6. Machine-to-machine communications in smart grid Jesus Alonso-Zarate, Javier Matamoros, David Gregoratti and Mischa Dohler; 7. Bad-data detection in smart grid: a distributed approach Le Xie, Dae-Hyun Choi, Soummya Kar and H. Vincent Poor; 8. Distributed state-estimation: a learning-based framework Ali Tajer, Soummya Kar and H. Vincent Poor; Part III. Smart Grid and Wide-Area Networks: 9. Networking technologies for wide-area measurement applications Yi Deng, Hua Lin, Arun G. Phadke, Sandeep Shukla and James S. Thorp; 10. Wireless networks for smart grid applications David Grifith, Michael Souryal and Nada Golmie; Part IV. Sensor and Actuator Networks for Smart Grid: 11. Wireless sensor networks for smart grid: research challenges and potential applications Dilan Sahin, Vehbi Cagri Gungor, Gerhard Hancke and Gerhard P. Hancke; 12. Sensor techniques and network protocols for smart grid Rong Zheng and Cunqing Hua; 13. Potential methods for sensor and actuator networking for smart grid Victor O. K. Li and Guang-Hua Yang; 14. Implementation and performance evaluation of wireless sensor networks for smart grid Nicola Bui, Angelo P. Castellani, Paolo Casari, Michele Rossi, Lorenzo Vangelista and Michele Zorzi; Part V. Security in Smart Grid Communications and Networking: 15. Cyber-attack impact analysis of smart grid Deepa Kundur, Salman Mashayehk, Takis Zourntos and Karen Butler-Purry; 16. Jamming for manipulating the power market in smart grid Husheng Li; 17. Power-system state-estimation security: attacks and protection schemes Gyoergy Dan, Kin Cheong Sou and Henrik Sandberg; 18. A hierarchical security architecture for smart grid Quanyan Zhu and Tamer Basar; 19. Application-driven design for a secured smart grid Robin Berthier, Rakesh Bobba, Erich Heine, Himanshu Khurana, William H. Sanders and Tim Yardley; Part VI. Field Trials and Deployments: 20. Case studies and lessons learned from recent smart grid field trials Rose Qingyang Hu and Yi Qian.
About Ekram Hossain
Ekram Hossain is a Professor in the Department of Electrical and Computer Engineering at the University of Manitoba, Canada, where his current research interests lie in the design, analysis and optimization of wireless/mobile communications networks, smart grid communications, cognitive and green radio systems. He has received several awards including the University of Manitoba Merit Award in 2010 (for Research and Scholarly Activities) and the 2011 IEEE Communications Society Fred Ellersick Prize Paper Award. Zhu Han is an Assistant Professor in the Electrical and Computer Engineering Department at the University of Houston, Texas. He received his Ph.D. in electrical engineering for the University of Maryland, College Park, in 2003 and worked for two years in industry as an R&D Engineer for JDSD. He is a recipient of the NSF CAREER award (2010) and the IEEE Communications Society Fred W. Ellersick Prize Paper Award. H. Vincent Poor is the Michael Henry Strater University Professor at Princeton University, where he is also the Dean of the School of Engineering and Applied Science. He is a Fellow of the IEEE and is a member of the US National Academy of Engineering and of the US National Academy of Sciences. He is also a Fellow of the American Academy of Arts and Sciences, an International Fellow of the Royal Academy of Engineering of the UK, and a former Guggenheim Fellow. Recent recognition of his work includes the 2009 Edwin Howard Armstrong Award of the IEEE Communications Society, the 2010 IET Ambrose Fleming Medal, the 2011 IEEE Eric E. Sumner Award and an honorary doctorate from the University of Edinburgh.