
Modern Optimisation Techniques in Power Systems
Yong-Hua Song(Editor)
Springer (Publisher)
Published on 5. December 2010
Book
Paperback/Softback
XI, 275 pages
978-90-481-5216-2 (ISBN)
Description
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 cost and cut the price. It is a tremendous challenge for utilities to maintain an economical and reliable supply of electricity in such an environment. Faced by an increasingly complicated existence, power utilities need efficient tools and aids to ensure that electrical energy of the desired quality can be provided at the lowest cost. The overall objective, both for short-term and long-term operations, is then to find the best compromise between the requirements of security and economy. That is, effective tools are urgently required to solve highly constrained optimisation problems. In recent years, several major modem optimisation techniques have been applied to power systems. A large number of papers and reports have been published. In this respect, it is timely to edit a book on this topic with an aim to report the state of the art development internationally in this area.
More details
Series
Edition
Softcover reprint of hardcover 1st ed. 1999
Language
English
Place of publication
Dordrecht
Netherlands
Target group
Professional and scholarly
Research
Illustrations
XI, 275 p.
Dimensions
Height: 244 mm
Width: 170 mm
Thickness: 16 mm
Weight
508 gr
ISBN-13
978-90-481-5216-2 (9789048152162)
DOI
10.1007/978-94-015-9189-8
Schweitzer Classification
Other editions
Additional editions

Yong-Hua Song
Modern Optimisation Techniques in Power Systems
E-Book
03/2013
Springer
€149.79
Available for download

Yong-Hua Song
Modern Optimisation Techniques in Power Systems
Book
05/1999
Kluwer Academic Publishers
€164.50
Shipment within 15-20 days
Content
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.