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Computational Intelligence in Power Engineering

  • Book
  • © 2010

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Editors:
  1. Bijaya Ketan Panigrahi

    1. Indian Institute of Technology, New Delhi, India

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  2. Ajith Abraham

    1. Jadavpur University, Calcutta, India

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  3. Swagatam Das

    1. Norwegian University of Science and Technology, Trondheim, Norway

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  • Reports recent research results Computational Intelligence in Power Engineering
  • Written by experts in the field
  • Introduces new concepts

Part of the book series: Studies in Computational Intelligence (SCI, volume 302)

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Table of contents (12 chapters)

  1. Front Matter

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  2. Robust Design of Power System Stabilizers for Multimachine Power Systems Using Differential Evolution

    • M. A. Abido
    Pages 1-18

  3. An AIS-ACO Hybrid Approach for Multi-Objective Distribution System Reconfiguration

    • A. Ahuja, S. Das, A. Pahwa
    Pages 19-73

  4. Intelligent Techniques for Transmission Line Fault Classification

    • A. K. Pradhan
    Pages 75-101

  5. Fuzzy Reliability Evaluations in Electric Power Systems

    • Dusmanta Kumar Mohanta
    Pages 103-130

  6. Load Forecasting and Neural Networks: A Prediction Interval-Based Perspective

    • Abbas Khosravi, Saeid Nahavandi, Doug Creighton
    Pages 131-150

  7. Neural Network Ensemble for 24-Hour Load Pattern Prediction in Power System

    • Krzysztof Siwek, Stanislaw Osowski
    Pages 151-169

  8. Power System Protection Using Machine Learning Technique

    • S. R. Samantaray, P. K. Dash, G. Panda
    Pages 171-198

  9. Power Quality

    • Kyeon Hur, Surya Santoso
    Pages 199-234

  10. Particle Swarm Optimization PSO: A New Search Tool in Power System and Electro Technology

    • Adel M. Sharaf, Adel A. A. El-Gammal
    Pages 235-294

  11. Particle Swarm Optimization and Its Applications in Power Systems

    • M. R. AlRashidi, M. F. AlHajri, A. K. Al-Othman, K. M. El-Naggar
    Pages 295-324

  12. Application of Evolutionary Optimization Techniques for PSS Tuning

    • S. P. Ghoshal, A. Chatterjee, V. Mukherjee
    Pages 325-366

  13. A Metaheuristic Approach for Transmission System Expansion Planning

    • Ashu Verma, P. R. Bijwe, B. K. Panigrahi
    Pages 367-379

  14. Back Matter

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Keywords

About this book

Computational Intelligence (CI) is one of the most important powerful tools for research in the diverse fields of engineering sciences ranging from traditional fields of civil, mechanical engineering to vast sections of electrical, electronics and computer engineering and above all the biological and pharmaceutical sciences. The existing field has its origin in the functioning of the human brain in processing information, recognizing pattern, learning from observations and experiments, storing and retrieving information from memory, etc. In particular, the power industry being on the verge of epoch changing due to deregulation, the power engineers require Computational intelligence tools for proper planning, operation and control of the power system. Most of the CI tools are suitably formulated as some sort of optimization or decision making problems. These CI techniques provide the power utilities with innovative solutions for efficient analysis, optimal operation and control and intelligent decision making. This edited volume deals with different CI techniques for solving real world Power Industry problems. The technical contents will be extremely helpful for the researchers as well as the practicing engineers in the power industry.

Editors and Affiliations

  • Indian Institute of Technology, New Delhi, India

    Bijaya Ketan Panigrahi

  • Jadavpur University, Calcutta, India

    Ajith Abraham

  • Norwegian University of Science and Technology, Trondheim, Norway

    Swagatam Das

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