The utilization of sensors, communications, and computer technologies to create greater efficiency in the generation, transmission, distribution, and consumption of electricity will enable better management of the electric power system. As the use of smart grid technologies grows, utilities will be able to automate meter reading and billing and consumers will be more aware of their energy usage and the associated costs. The results will require utilities and their suppliers to develop new business models, strategies, and processes.
With an emphasis on reducing costs and improving return on investment (ROI) for utilities, Smart Grids: Clouds, Communications, Open Source, and Automation explores the design and implementation of smart grid technologies, considering the benefits to consumers as well as businesses. Focusing on industrial applications, the text:
Provides a state-of-the-art account of the smart grid
Explains how smart grid technologies are currently being used
Includes detailed examples and test cases for real-life implementation
Discusses trade-offs associated with the utilization of smart grid technologies
Describes smart grid simulation software and offers insight into the future of the smart grid
The electric power grid is in the early stages of a sea of change. Nobody knows which business models will survive, but companies heeding the lessons found in Smart Grids: Clouds, Communications, Open Source, and Automation might just increase their chances for success.
Rezensionen / Stimmen
"... a well-planned research material for academic and industry professionals interested in the future of power generation and distribution. ... This book is needed to promote discussion among professionals about the direction of smart grid evolution. ... The book can be used as a primary material in an advanced-level course dedicated toward smart grids, as well as a supplementary material in a power distribution concepts course. ... The complex ideas conveyed in this book are written in an easy-to-understand way, leaving the reader with a desire to read more."
-Jerzy Swic, Silicomotive Solutions, Inc., Vancouver, British Columbia, Canada
"Especially noteworthy are the different contributions merging Smart Grid developments with Cloud Computing, showing up ways to improve grid reliability and power quality through on demand access to scalable computing resources while at the same time reducing IT infrastructure and maintenance cost for Smart Grid operators."
-Dr. Lars T. Berger, BreezeSolve
"Cloud computing is critical for implementing smart grid technologies and this book provides great background material for researchers in the traditional power system area to learn and use this important technology. This book also provides an entry for cloud computing experts to apply their research to smart grids."
-Hemanshu R. Pota, The University of New South Wales Canberra, Australia
Reihe
Sprache
Verlagsort
Verlagsgruppe
Zielgruppe
Für höhere Schule und Studium
Computer engineers, power engineers, computer scientists, and signal processing engineers, as well as professionals in the utility industry and those involved with smart grids.
Produkt-Hinweis
Fadenheftung
Gewebe-Einband
Illustrationen
163 s/w Abbildungen, 48 s/w Tabellen
48 Tables, black and white; 163 Illustrations, black and white
Maße
Höhe: 234 mm
Breite: 157 mm
Dicke: 30 mm
Gewicht
ISBN-13
978-1-4822-0611-1 (9781482206111)
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 Klassifikation
David Bakken is a professor in the School of Electrical Engineering and Computer Science at Washington State University, as well as chief scientist at GridStat, Inc., Pullman, Washington, USA. His research interests include wide-area distributed computing systems, middleware implementation, and dependable computing. His GridStat data delivery software has influenced the shape of the emerging NASPInet. Since 1999 he has been working closely with electric power researchers to rethink wide-area data delivery in power grids, and is considered the world's leading expert on the subject. He is a frequent visitor and lecturer at utilities, electrical engineering departments, and power meetings worldwide.
Dr. Krzysztof (Kris) Iniewski is managing R&D at Redlen Technologies Inc., Vancouver, British Columbia, Canada, a leading manufacturer of high resolution cadmium zinc telluride semiconductor radiation detectors. He is also president of CMOS Emerging Technologies Research Inc., Coquitlam, British Columbia, Canada, an organization hosting high-tech events on communications, microsystems, optoelectronics, and sensors. A popular speaker and consultant, he has published over 100 research papers, written and edited several books, and held faculty and management positions at University of Toronto, Ontario, Canada; University of Alberta, Edmonton, Canada; Simon Fraser University, Burnaby, British Columbia, Canada; and PMC-Sierra Inc., Burnaby, British Columbia, Canada.
Herausgeber*in
Washington State University, School of Electrical Engineering and Computer Science
Mission-Critical Cloud Computing for Next-Generation Power Applications. Power Application Possibilities with Mission Critical Cloud Computing. Emerging Wide-Area Power Applications with Mission Critical Data Delivery Requirements. GridStat: High Availability, Low Latency, and Adaptive Sensor Data Delivery for Smart Generation and Transmission. A Distributed Framework for Smart Grid Modelling, Monitoring, and Control. The Role of PLC Technology in Smart Grid Communication Networks. Study of Grid's Topology and Electric Characteristics for Smart Grid Applications. Open Source Software, an Enabling Technology for Smart Grid Evolution. Contribution of Microgrids in the Development of the Smart Grid. Microgrids - Design, Function, Operation. Integrating Consumer Advance Demand Information in Smart Grid Supply Chains. Photovoltaic Energy Generation and Control. Self-Tuning and Self-Diagnosing Simulation. Stable Multi-Agent Based Fully Distributed Optimization of Smart Grids. Expert Systems Application for the Reconfiguration of Electric Distribution Systems. Load Data Cleansing and Bus Load Coincidence Factors. Smart Metering and Infrastructure. Vision of Future Control Centers in Smart Grids.
