Authors:
Presents the application of some artificial intelligent optimization techniques in electric power system operation and control
Presents, with practical applications and examples,
The application of Functional Analysis, simulated annealing, Tabu-search, Genetic algorithm and fuzzy systems on the optimization of power system operation and control
Includes supplementary material: sn.pub/extras
Part of the book series: Energy Systems (ENERGY)
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Table of contents (7 chapters)
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Front Matter
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Back Matter
About this book
This book presents the application of some AI related optimization techniques in the operation and control of electric power systems. With practical applications and examples the use of functional analysis, simulated annealing, Tabu-search, Genetic algorithms and fuzzy systems for the optimization of power systems is discussed in detail. Preliminary mathematical concepts are presented before moving to more advanced material.
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Researchers and graduate students will benefit from this book. Engineers working in utility companies, operations and control, and resource management will also find this book useful. ​
Authors and Affiliations
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, Faculty of Engineering, Misr University for Science and Technolo, 6th of October City, Egypt
Soliman Abdel-Hady Soliman
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, Faculty of Engineering, Ain Shams University, Cairo, Egypt
Abdel-Aal Hassan Mantawy
Bibliographic Information
Book Title: Modern Optimization Techniques with Applications in Electric Power Systems
Authors: Soliman Abdel-Hady Soliman, Abdel-Aal Hassan Mantawy
Series Title: Energy Systems
DOI: https://doi.org/10.1007/978-1-4614-1752-1
Publisher: Springer New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Science+Business Media, LLC 2012
Hardcover ISBN: 978-1-4614-1751-4Published: 14 December 2011
Softcover ISBN: 978-1-4899-8979-6Published: 03 March 2014
eBook ISBN: 978-1-4614-1752-1Published: 15 December 2011
Series ISSN: 1867-8998
Series E-ISSN: 1867-9005
Edition Number: 1
Number of Pages: XVIII, 414
Topics: Operator Theory, Computational Science and Engineering, Operations Research, Management Science, Optimization