Smart grids clouds, communications, open source, and automation

"The electric power grid is in the early stage of a sea change, and hype about smart grid is at a high point. Investment money is pouring in, searching for a "killer app" and profits. The smart grid revolution will require utilities and their suppliers to develop new business models,...

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Bibliographic Details
Other Authors: Bakken, David (Editor), Iniewski, Krzysztof (Editor)
Format: eBook
Language:English
Published: Boca Raton, FL CRC Press 2014
Series:Devices, Circuits, and Systems
Subjects:
Online Access:
Collection: O'Reilly - Collection details see MPG.ReNa
Table of Contents:
  • Chapter 15: Expert Systems Application for the Reconfiguration of Electric Distribution SystemsChapter 16: Load Data Cleansing and Bus Load Coincidence Factors; Chapter 17: Smart Metering and Infrastructure; Chapter 18: Vision of Future Control Centers in Smart Grids; Back Cover
  • Includes bibliographical references and index
  • Front Cover; Contents; Preface; Editors; Contributors; Chapter 1: Mission-Critical Cloud Computing for Critical Infrastructures; Chapter 2: Power Application Possibilities with Mission-Critical Cloud Computing; Chapter 3: Emerging Wide-Area Power Applications with Mission-Critical Data Delivery Requirements; Chapter 4: GridStat : High Availability, Low Latency, and Adaptive Sensor Data Delivery for Smart Generation and Transmission; Chapter 5: A Distributed Framework for Smart Grid Modeling, Monitoring, and Control; Chapter 6: Role of PLC Technology in Smart Grid Communication Networks
  • Chapter 7: Power Grid Network Analysis for Smart Grid ApplicationsChapter 8: Open Source Software, an Enabling Technology for Smart Grid Evolution; Chapter 9: Contribution of Microgrids to the Development of the Smart Grid; Chapter 10: Microgrids; Chapter 11: Integrating Consumer Advance Demand Data in Smart Grid Energy Supply Chain; Chapter 12: Photovoltaic Energy Generation and Control for an Autonomous Shunt Active Power Filter; Chapter 13: Self-Tuning and Self-Diagnosing Simulation; Chapter 14: A Consensus-Based Fully Distributed Load Management Algorithm for Smart Grid