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Book Description

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.

Table of Contents

  1. Cover
  2. Half Title
  3. Title Page
  4. Copyright Page
  5. Table of Contents
  6. Preface
  7. Editors
  8. Contributors
  9. Chapter 1 Mission-Critical Cloud Computing for Critical Infrastructures
  10. Chapter 2 Power Application Possibilities with Mission-Critical Cloud Computing
  11. Chapter 3 Emerging Wide-Area Power Applications with Mission-Critical Data Delivery Requirements
  12. Chapter 4 GridStat: High Availability, Low Latency, and Adaptive Sensor Data Delivery for Smart Generation and Transmission
  13. Chapter 5 A Distributed Framework for Smart Grid Modeling, Monitoring, and Control
  14. Chapter 6 Role of PLC Technology in Smart Grid Communication Networks
  15. Chapter 7 Power Grid Network Analysis for Smart Grid Applications
  16. Chapter 9 Contribution of Microgrids to the Development of the Smart Grid
  17. Chapter 10 Microgrids
  18. Chapter 11 Integrating Consumer Advance Demand Data in Smart Grid Energy Supply Chain
  19. Chapter 12 Photovoltaic Energy Generation and Control for an Autonomous Shunt Active Power Filter
  20. Chapter 13 Self-Tuning and Self-Diagnosing Simulation
  21. Chapter 14 A Consensus-Based Fully Distributed Load Management Algorithm for Smart Grid
  22. Chapter 15 Expert Systems Application for the Reconfiguration of Electric Distribution Systems
  23. Chapter 16 Load Data Cleansing and Bus Load Coincidence Factors
  24. Chapter 17 Smart Metering and Infrastructure
  25. Chapter 18 Vision of Future Control Centers in Smart Grids
  26. Index
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