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Intelligent Systems, Control and Automation: Science and Eng #20: Modern Optimisation Techniques in Power Systems

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Intelligent Systems, Control and Automation: Science and Eng #20: Modern Optimisation Techniques in Power Systems Cover

 

Synopses & Reviews

Publisher Comments:

Under an ever-increasingly competitive/deregulated environment, power utilities need efficient and effective tools to ensure that electrical energy of the desired quality can be provided at the lowest cost. These usually form highly constrained optimisation problems. Modern Optimisation Techniques in Power Systems is the first book to offer a comprehensive cover of major modern optimisation methods applied to power systems, including: simulated annealing, tabu search, genetic algorithms, neural networks, fuzzy programming, Lagrangian relaxation, interior point methods, ant colony search and hybrid techniques. Various applications and case studies are presented to demonstrate the potential and procedures of applying such techniques in solving complex power system optimisation problems. Written by top international experts in this field, this book will be a useful reference for professional engineers and managers involved in the optimisation of power system operation. It will also be of interest to postgraduates and researchers.

Table of Contents

Preface. Contributors. 1. Introduction; Y.H. Song. 2. Simulated annealing applications; K. Nara. 3. Tabu search application in fault section estimation and state identification of unobserved protective relays in power system; F. Wen, C.S. Chang. 4. Genetic algorithms for scheduling generation and maintenance in power systems; C.J. Aldridge, et al. 5. Transmission network planning using genetic algorithms; M.R. Irving, et al. 6. Artificial neural networks for generation scheduling; M.P. Walsh, M.J. O'Malley. 7. Decision making in a deregulated power environment based on fuzzy sets; S.M. Shahidehpour, M.I. Alomoush. 8. Lagrangian relaxation applications to electric power operations and planning problems; A.J. Conejo, et al. 9. Inter point methods and applications in power systems; K. Xie, Y.H. Song. 10. Ant colony search, advanced engineered-conditioning genetic algorithms and fuzzy logic controlled genetic algorithms: economic dispatch problems; Y.H. Song, et al. 11. Industrial applications of artificial intelligence techniques; A.O. Ekwue.

Product Details

ISBN:
9789048152162
Author:
Yong-hua Song
Publisher:
Springer
Author:
Song, Yong-Hua
Location:
Dordrecht
Subject:
Engineering / Electrical
Subject:
Electrical engineering
Subject:
OPTIMIZATION
Subject:
Systems Theory, Control
Subject:
Artificial Intelligence (incl. Robotics)
Subject:
Mathematical Modeling and Industrial Mathematics
Subject:
Computers-Reference - General
Subject:
Electricity
Subject:
Engineering
Subject:
Language, literature and biography
Subject:
Computer Engineering
Subject:
Mathematical optimization
Subject:
Systems theory.
Subject:
Artificial Intelligence
Copyright:
Edition Description:
Softcover reprint of hardcover 1st ed. 1999
Series:
Intelligent Systems, Control and Automation: Science and Engineering
Series Volume:
20
Publication Date:
20101206
Binding:
TRADE PAPER
Language:
English
Pages:
286
Dimensions:
240 x 160 mm 439 gr

Related Subjects

Computers and Internet » Artificial Intelligence » General
Computers and Internet » Computers Reference » General
Science and Mathematics » Mathematics » Applied
Science and Mathematics » Mathematics » Computer

Intelligent Systems, Control and Automation: Science and Eng #20: Modern Optimisation Techniques in Power Systems New Trade Paper
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