Applied Mathematics for Restructured Electric Power Systems

Optimization, Control, and Computational Intelligence

  • Joe H. Chow
  • Felix F. Wu
  • James Momoh

Part of the Power Electronics and Power Systems book series (PEPS)

Table of contents

  1. Front Matter
    Pages i-xxxii
  2. Joe H. Chow, Felix F. Wu, James A. Momoh
    Pages 1-9
  3. Tao He, Sharma Kolluri, Sujit Mandal, Floyd Galvan, Parviz Rastgoufard
    Pages 25-37
  4. A. I. Zečević, D. D. Šiljak
    Pages 139-158
  5. Eyad H. Abed, Munther A. Hassouneh, Mohamed S. Saad
    Pages 159-178
  6. Ian A. Hiskens, Jung-Wook Park, Vaibhav Donde
    Pages 179-199
  7. Ganesh K. Venayagamoorthy, Ronald G. Harley
    Pages 201-237
  8. Eugene A. Feinberg, Dora Genethliou
    Pages 269-285
  9. Dagmar Niebur, Ekrem Gursoy, Huaiwei Liao
    Pages 287-317
  10. Back Matter
    Pages 319-323

About this book


Applied Mathematics for Restructured Electric Power Systems: Optimization, Control, and Computational Intelligence consists of chapters based on work presented at a National Science Foundation workshop organized in November 2003.  The theme of the workshop was the use of applied mathematics to solve challenging power system problems.  The areas included control, optimization, and computational intelligence.  In addition to the introductory chapter, this book includes 12 chapters written by renowned experts in their respected fields.  Each chapter follows a three-part format: (1) a description of an important power system problem or problems, (2) the current practice and/or particular research approaches, and (3) future research directions. Collectively, the technical areas discussed are voltage and oscillatory stability, power system security margins, hierarchical and decentralized control, stability monitoring, embedded optimization, neural network control with adaptive critic architecture, control tuning using genetic algorithms, and load forecasting and component prediction.

This volume is intended for power systems researchers and professionals charged with solving electric and power system problems.


algorithm algorithms bifurcation calculus computational intelligence control genetic algorithms network neural network optimization power systems transmission

Editors and affiliations

  • Joe H. Chow
    • 1
  • Felix F. Wu
    • 2
  • James Momoh
    • 3
  1. 1.Dept. of Electrical, Computer, & Systems EngineeringRensselaer Polytechnic InstituteTroy
  2. 2.Dept. of Electrical and Electronic EngineeringHong Kong UniversityHong Kong
  3. 3.Center for Energy Systems and ControlHoward UniversityWashington, DC

Bibliographic information

  • DOI
  • Copyright Information Springer Science+Business Media, Inc. 2005
  • Publisher Name Springer, Boston, MA
  • eBook Packages Engineering
  • Print ISBN 978-0-387-23470-0
  • Online ISBN 978-0-387-23471-7
  • Buy this book on publisher's site
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