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Power Grid Complexity

  • Book
  • © 2011

Overview

  • Develops the theoretical foundations on the basis of Self-Organized Criticality

  • Models different blackout scenarios for large power grids

  • Geared to vital engineering problems

  • Discusses a most current topic in electrical engineering

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Table of contents (14 chapters)

Keywords

About this book

“Power Grid Complexity” introduces the complex system theory known as self-organized criticality (SOC) theory and complex network theory, and their applications to power systems. It studies the network characteristics of power systems, such as their small-world properties, structural vulnerability, decomposition and coordination strategies, and simplification and equivalence methods. The book also establishes four blackout models based on SOC theory through which the SOC of power systems is studied at both the macroscopic and microscopic levels.  Additionally, applications of complex system theory in power system planning and emergency management platforms are also discussed in depth. This book can serve as a useful reference for engineers and researchers working with power systems.

Shengwei Mei is a Professor at the Department of Electrical Engineering at Tsinghua University, China. Xuemin Zhang is a Lecturer at the Department of Electrical Engineering at Tsinghua University, China. Ming Cao is an Assistant Professor at the Faculty of Mathematics and Natural Sciences at the University of Groningen, the Netherlands.

 

 

Reviews

From the reviews:

“Power Grid Complexity by Shengwei Mei, Xuemin Zhang, and Ming Cao is a timely and largely successful attempt to organize the various components of that multidisciplinary field. This book will provide researchers and professionals in the field with a comprehensive and valuable reference covering the main concepts and tools. … researchers will certainly appreciate the effort to gather those key topics together for the first time. Moreover, the book might also be useful for professionals working in power companies.” (Anna Carbone, Physics Today, June, 2013)

Authors and Affiliations

  • Department of Electrical Engineerging, Tsinghua University, Beijing, China

    Shengwei Mei, Xuemin Zhang

  • Faculty of Mathematics and Natural Sciences, University of Groningen, AG Groningen, the Netherlands

    Ming Cao

About the authors

"Power Grid Complexity" introduces the complex system theory known as self-organized criticality (SOC) theory and complex network theory, and their applications to power systems. It studies the network characteristics of power systems, such as their small-world properties, structural vulnerability, decomposition and coordination strategies, and simplification and equivalence methods. The book also establishes four blackout models based on SOC theory through which the SOC of power systems is studied at both the macroscopic and microscopic levels.  Additionally, applications of complex system theory in power system planning and emergency management platforms are also discussed in depth. This book can serve as a useful reference for engineers and researchers working with power systems.

Shengwei Mei is a Professor at the Department of Electrical Engineering at Tsinghua University, China. Xuemin Zhang is a Lecturer at the Department of Electrical Engineering at Tsinghua University, China. Ming Cao is an Assistant Professor with the Faculty of Mathematics and Natural Sciences at the University of Groningen, the Netherlands.

 

Bibliographic Information

  • Book Title: Power Grid Complexity

  • Authors: Shengwei Mei, Xuemin Zhang, Ming Cao

  • DOI: https://doi.org/10.1007/978-3-642-16211-4

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Tsinghua University Press, Beijing and Springer-Verlag Berlin Heidelberg 2011

  • eBook ISBN: 978-3-642-16211-4Published: 15 September 2011

  • Edition Number: 1

  • Number of Pages: XVI, 455

  • Additional Information: Jointly published with Tsinghua University Press.

  • Topics: Power Electronics, Electrical Machines and Networks, Physics, general, Energy Systems

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