Autonomous Systems and Intelligent Agents in Power System Control and Operation

  • Christian Rehtanz

Part of the Power Systems book series (POWSYS)

Table of contents

  1. Front Matter
    Pages I-XVIII
  2. Christian Rehtanz
    Pages 1-15
  3. Christian Rehtanz, Tatjana Kostic, Martin Naedele
    Pages 17-34
  4. James D. McCalley, Zhong Zhang, Vijayanand Vishwanathan, Vasant Honavar
    Pages 49-74
  5. Stephen D. J. McArthur, James R. McDonald, John Hossack
    Pages 75-100
  6. Takeshi Nagata, Hiroshi Sasaki
    Pages 101-114
  7. James S. Thorp, Xiaoru Wang, Kenneth M. Hopkinson, Denis Coury, Renan Giovanini
    Pages 115-154
  8. Carsten Leder
    Pages 229-246
  9. Chen-Ching Liu, Hao Li, Yoshifumi Zoka
    Pages 247-277
  10. Back Matter
    Pages 303-305

About this book


Autonomous systems are one of the most important trends for the next generation of control systems. This book is the first to transfer autonomous systems concepts and intelligent agents theory into the control and operation environment of power systems. The focus of this book is to design a future control system architecture for electrical power systems, which copes with the changed requirements concerning complexity and flexibility and includes several applications for power systems. This book draws the whole circle from the theoretical and IT-concept of autonomous systems for power system control over the required knowledge-based methods and their capabilities to concrete applications within this field.


Autonomous Systems Control Systems Intelligent Agents Power System Control and Operation Power Systems Technologie complexity development diagnosis environment quality

Authors and affiliations

  • Christian Rehtanz
    • 1
  1. 1.Corporate ResearchABB Switzerland Ltd.Baden-DättwilSwitzerland

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2003
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-642-07290-1
  • Online ISBN 978-3-662-05955-5
  • Series Print ISSN 1612-1287
  • Series Online ISSN 1860-4676
  • Buy this book on publisher's site
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