Overview

In 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 optimization problems. This work presents major modern optimization 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 optimization problems.

Full Product Details

Author:   Yong-Hua Song
Publisher:   Springer
Imprint:   Springer
Edition:   1999 ed.
Volume:   20
Dimensions:   Width: 15.60cm , Height: 1.70cm , Length: 23.40cm
Weight:   1.300kg
ISBN:  

9780792356974

ISBN 10:   0792356977
Pages:   275
Publication Date:   31 May 1999
Audience:   College/higher education ,  Professional and scholarly ,  Undergraduate ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

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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