Modern Optimisation Techniques in Power Systems

ISBN 10: 0792356977 / ISBN 13: 9780792356974

Edité par Springer, 1999

A propos de cet article

pp. 292. N° de réf. du vendeur 26318621

Détails bibliographiques

Titre : Modern Optimisation Techniques in Power ...

Éditeur : Springer

Date d'édition : 1999

Reliure : Couverture rigide

Etat : New

A propos de ce titre

Synopsis :

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.

Présentation de l'éditeur:

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.