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Modern Optimisation Techniques in Power Systems - Yong-Hua Song
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Modern Optimisation Techniques in Power Systems - Paperback

ISBN: 9789048152162

The electric power industry is currently undergoing an unprecedented reform. The deregulation of electricity supply industry has introduced new opportunity for competition to reduce the c… More...

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ISBN: 9789048152162

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Modern Optimisation Techniques in Power Systems - Yong-Hua Song (Herausgeber)
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Yong-Hua Song (Herausgeber):
Modern Optimisation Techniques in Power Systems - Paperback

2010

ISBN: 904815216X

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Softcover reprint of hardcover 1st ed. 1999 Kartoniert / Broschiert Optimierung, Mathematische Modellierung, Mathematik für Ingenieure, Elektrotechnik, Künstliche Intelligenz, algorithm… More...

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Yong-Hua Song (Herausgeber):
Modern Optimisation Techniques in Power Systems - Paperback

2010, ISBN: 904815216X

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Modern Optimisation Techniques in Power Systems - Paperback

ISBN: 904815216X

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Modern Optimisation Techniques in Power Systems
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9789048152162


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.

Details of the book - Modern Optimisation Techniques in Power Systems


EAN (ISBN-13): 9789048152162
ISBN (ISBN-10): 904815216X
Hardcover
Paperback
Publishing year: 2010
Publisher: Springer-Verlag GmbH
288 Pages
Weight: 0,439 kg
Language: eng/Englisch

Book in our database since 2011-04-28T22:04:17+01:00 (London)
Detail page last modified on 2021-12-07T18:57:27+00:00 (London)
ISBN/EAN: 9789048152162

ISBN - alternate spelling:
90-481-5216-X, 978-90-481-5216-2
Alternate spelling and related search-keywords:
Book author: yong, song, hua
Book title: modern control systems, song hua, modern control engineering

Information from Publisher

Author: Yong-Hua Song
Title: Intelligent Systems, Control and Automation: Science and Engineering; Modern Optimisation Techniques in Power Systems
Publisher: Springer; Springer Netherland
275 Pages
Publishing year: 2010-12-05
Dordrecht; NL
Printed / Made in
Language: English
160,49 € (DE)
164,99 € (AT)
177,00 CHF (CH)
POD
XI, 275 p.

BC; Hardcover, Softcover / Technik/Elektronik, Elektrotechnik, Nachrichtentechnik; Elektrotechnik; Verstehen; algorithm; algorithms; artificial intelligence; fuzzy; fuzzy logic; fuzzy set; genetic algorithms; intelligence; optimization; programming; Electrical Power Engineering; Electrical and Electronic Engineering; Optimization; Systems Theory, Control; Artificial Intelligence; Mathematical Modeling and Industrial Mathematics; Optimierung; Kybernetik und Systemtheorie; Künstliche Intelligenz; Mathematische Modellierung; Mathematik für Ingenieure; BB; EA

1 Introduction.- 2 Simulated annealing applications.- 3 Tabu search application in fault section estimation and state identification of unobserved protective relays in power system.- 4 Genetic algorithms for scheduling generation and maintenance in power systems.- 5 Transmission network planning using genetic algorithms.- 6 Artificial neural networks for generation scheduling.- 7 Decision making in a deregulated power environment based on fuzzy sets.- 8 Lagrangian relaxation applications to electric power operations and planning problems.- 9 Inter point methods and applications in power systems.- 10 Ant colony search, advanced engineered-conditioning genetic algorithms and fuzzy logic controlled genetic algorithms: economic dispatch problems.- 11 Industrial applications of artificial intelligence techniques.

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