
Smarter Energy
From smart metering to the smart grid
Institution of Engineering and Technology (Publisher)
Published on 23. September 2016
Book
Hardback
520 pages
978-1-78561-104-9 (ISBN)
Description
This book presents cutting-edge perspectives and research results in smart energy spanning multiple disciplines across four main topics: smart metering, smart grid modeling, control and optimization, and smart grid communications and networking.
Chapters from an international panel of experts in the field cover: privacy-preserving data aggregation in smart metering systems; smart price-based scheduling of flexible residential appliances; smart tariffs for demand response from smart metering platforms; decentralized models for real-time renewable integration in future grid; distributed and decentralized control in future power systems; multiobjective optimization for smart grid system design; frequency regulation of smart grid via dynamic demand control and battery energy storage systems; distributed frequency control and demand-side management; game theory approaches for demand side management in the smart grid; energy storage systems and grid integration; overview of research in the ADVANTAGE project; big data analysis of power grid from random matrix theory; a model-driven evaluation of demand response communication protocols for smart grid; energy efficient smart grid communications; and cyber security of smart grid state estimation.
Chapters from an international panel of experts in the field cover: privacy-preserving data aggregation in smart metering systems; smart price-based scheduling of flexible residential appliances; smart tariffs for demand response from smart metering platforms; decentralized models for real-time renewable integration in future grid; distributed and decentralized control in future power systems; multiobjective optimization for smart grid system design; frequency regulation of smart grid via dynamic demand control and battery energy storage systems; distributed frequency control and demand-side management; game theory approaches for demand side management in the smart grid; energy storage systems and grid integration; overview of research in the ADVANTAGE project; big data analysis of power grid from random matrix theory; a model-driven evaluation of demand response communication protocols for smart grid; energy efficient smart grid communications; and cyber security of smart grid state estimation.
More details
Series
Language
English
Place of publication
Stevenage
United Kingdom
Target group
College/higher education
Professional and scholarly
Dimensions
Height: 239 mm
Width: 163 mm
Thickness: 33 mm
Weight
930 gr
ISBN-13
978-1-78561-104-9 (9781785611049)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
Hongjian Sun is a Lecturer in smart grids with the University of Durham, UK. He has made one contribution to the IEEE 1900.6a Standard and published four book chapters and more than 60 papers in refereed journals and conferences. His recent research interests include smart grids, wireless communications, and signal processing.
Nikos D. Hatziargyriou is Chairman and CEO of the Hellenic Distribution Network Operator and is Professor in Power Systems at the Electrical and Computer Engineering Department of the National Technical University of Athens. He is chair of the EU Technology Platform on SmartGrids and author of one book and of more than 180 journal publications and 500 conference proceedings papers.
H. Vincent Poor, FREng, ForMemRS, is the Michael Henry Strater University Professor at Princeton University. His research interests are in wireless communications, smart grid, and related fields. He holds a Ph.D. in EECS from Princeton, and honorary degrees from a number of universities. In 2016, he received the John Fritz Medal.
Laurence Carpanini leads the development of Smart Energy Solutions for IBM in Europe. He has over 30 years' experience in the sector, providing strategic leadership, subject matter expertise and an infectious enthusiasm for smarter energy solutions driving industry transformation.
Miguel Angel Sanchez Fornie is Director of Global Smart Grids at the Spanish utility company IBERDROLA and Professor in the postgraduate course of energy in the University of Comillas. He is a member of the UTC Board of Directors and President of its European division, member of the Advisory Committee of the European platform "SMART GRIDS", and member of the Advisory Committee of the Smart Grids Task Force (DG Energy).
Nikos D. Hatziargyriou is Chairman and CEO of the Hellenic Distribution Network Operator and is Professor in Power Systems at the Electrical and Computer Engineering Department of the National Technical University of Athens. He is chair of the EU Technology Platform on SmartGrids and author of one book and of more than 180 journal publications and 500 conference proceedings papers.
H. Vincent Poor, FREng, ForMemRS, is the Michael Henry Strater University Professor at Princeton University. His research interests are in wireless communications, smart grid, and related fields. He holds a Ph.D. in EECS from Princeton, and honorary degrees from a number of universities. In 2016, he received the John Fritz Medal.
Laurence Carpanini leads the development of Smart Energy Solutions for IBM in Europe. He has over 30 years' experience in the sector, providing strategic leadership, subject matter expertise and an infectious enthusiasm for smarter energy solutions driving industry transformation.
Miguel Angel Sanchez Fornie is Director of Global Smart Grids at the Spanish utility company IBERDROLA and Professor in the postgraduate course of energy in the University of Comillas. He is a member of the UTC Board of Directors and President of its European division, member of the Advisory Committee of the European platform "SMART GRIDS", and member of the Advisory Committee of the Smart Grids Task Force (DG Energy).
Editor
LecturerUniversity of Durham, UK
Professor in Power SystemsNational Technical University of Athens, Electrical and Computer Engineering Department, Greece
Michael Henry Strater University ProfessorPrinceton University, USA
ProfessorUniversity of Comillas, Spain
Content
Chapter 1: Smart energy - smart grid research and projects overview
Part I: Smart metering
Chapter 2: Privacy-preserving data aggregation in smart metering systems
Chapter 3: Smart price-based scheduling of flexible residential appliances
Chapter 4: Smart tariffs for demand response from smart metering platform
Part II: Smart grid modeling, control and optimization
Chapter 5: Decentralized models for real-time renewable integration in future grid
Chapter 6: Distributed and decentralized control in future power systems
Chapter 7: Multiobjective optimization for smart grid system design
Chapter 8: Frequency regulation of smart grid via dynamic demand control and battery energy storage system
Chapter 9: Distributed frequency control and demand-side management
Chapter 10: Game theory approaches for demand side management in the smart grid
Part III: Smart grid communications and networking
Chapter 11: Cyber security of smart grid state estimation: attacks and defense mechanisms
Chapter 12: Overview of research in the ADVANTAGE project
Chapter 13: Big data analysis of power grid from random matrix theory
Chapter 14: A model-driven evaluation of demand response communication protocols for smart grid
Chapter 15: Energy-efficient smart grid communications
Part I: Smart metering
Chapter 2: Privacy-preserving data aggregation in smart metering systems
Chapter 3: Smart price-based scheduling of flexible residential appliances
Chapter 4: Smart tariffs for demand response from smart metering platform
Part II: Smart grid modeling, control and optimization
Chapter 5: Decentralized models for real-time renewable integration in future grid
Chapter 6: Distributed and decentralized control in future power systems
Chapter 7: Multiobjective optimization for smart grid system design
Chapter 8: Frequency regulation of smart grid via dynamic demand control and battery energy storage system
Chapter 9: Distributed frequency control and demand-side management
Chapter 10: Game theory approaches for demand side management in the smart grid
Part III: Smart grid communications and networking
Chapter 11: Cyber security of smart grid state estimation: attacks and defense mechanisms
Chapter 12: Overview of research in the ADVANTAGE project
Chapter 13: Big data analysis of power grid from random matrix theory
Chapter 14: A model-driven evaluation of demand response communication protocols for smart grid
Chapter 15: Energy-efficient smart grid communications