Computational Intelligence Applications to Power Systems / Edition 1

Computational Intelligence Applications to Power Systems / Edition 1

ISBN-10:
0792340752
ISBN-13:
9780792340751
Pub. Date:
11/30/1996
Publisher:
Springer Netherlands
ISBN-10:
0792340752
ISBN-13:
9780792340751
Pub. Date:
11/30/1996
Publisher:
Springer Netherlands
Computational Intelligence Applications to Power Systems / Edition 1

Computational Intelligence Applications to Power Systems / Edition 1

Hardcover

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Overview

This book represents a thoroughly comprehensive treatment of computational intelligence from an electrical power system engineer's perspective. Thorough, well-organised and up-to-date, it examines in some detail all the important aspects of this very exciting and rapidly emerging technology, including: expert systems, fuzzy logic, artificial neural networks, genetic algorithms and hybrid systems.
Written in a concise and flowing manner, by experts in the area of electrical power systems who have had many years of experience in the application of computational intelligence for solving many complex and onerous power system problems, this book is ideal for professional engineers and postgraduate students entering this exciting field. This book would also provide a good foundation for senior undergraduate students entering into their final year of study.

Product Details

ISBN-13: 9780792340751
Publisher: Springer Netherlands
Publication date: 11/30/1996
Series: Intelligent Systems, Control and Automation: Science and Engineering , #15
Edition description: 1997
Pages: 162
Product dimensions: 6.10(w) x 9.25(h) x 0.02(d)

Table of Contents

1. Expert Systems: An Introduction. 2. Intelligent Alarm Processor. 3. Intelligent Fault Diagnosis in Power Systems. 4. Decision Support for Reactive Power and Voltage Control. 5. Fuzzy Logic: An Introduction. 6. Fuzzy Stability Control for Power Systems. 7. Fuzzy Hydroelectric Generation Scheduling. 8. Neural Networks: An Introduction. 9. Neural Networks Based Electrical Load Forecasting. 10. Kohonen Networks for Power System Static Security Assessment. 11. Adaptive Autoreclosure Techniques. 12. Genetic Algorithms: An Introduction. 13. Genetic Algorithm in Power System Optimization. 14. Integration of Fuzzy Logic, Neural Networks and Genetic Algorithms.
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