The Next Generation of Electric Power Unit Commitment Models: 36 (International Series in Operations Research & Management Science, 36)

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ISBN 10: 0792373340 / ISBN 13: 9780792373346

Edité par -, 2001

A propos de cet article

The Next Generation of Electric Power Unit Commitment Models: 36 (International Series in Operations Research & Management Science, 36) This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping.

N° de réf. du vendeur 7719-9780792373346

Détails bibliographiques

• Titre: The Next Generation of Electric Power Unit Commitment Models: 36 (International Series in Operations Research & Management Science, 36)
• Éditeur: -
• Date de parution: 2001
• Langue: anglais
• ISBN à 10 chiffres: 0792373340
• ISBN à 13 chiffres: 9780792373346
• Reliure: hardcover
• État de l'article: Very Good

A propos de ce titre

Synopsis

Over the years, the electric power industry has been using optimization methods to help them solve the unit commitment problem. The result has been savings of tens and perhaps hundreds of millions of dollars in fuel costs. Things are changing, however. Optimization technology is improving, and the industry is undergoing radical restructuring. Consequently, the role of commitment models is changing, and the value of the improved solutions that better algorithms might yield is increasing. The dual purpose of this book is to explore the technology and needs of the next generation of computer models for aiding unit commitment decisions.
Because of the unit commitment problem's size and complexity and because of the large economic benefits that could result from its improved solution, considerable attention has been devoted to algorithm development in the book. More systematic procedures based on a variety of widely researched algorithms have been proposed and tested. These techniques have included dynamic programming, branch-and-bound mixed integer programming (MIP), linear and network programming approaches, and Benders decomposition methods, among others. Recently, metaheuristic methods have been tested, such as genetic programming and simulated annealing, along with expert systems and neural networks. Because electric markets are changing rapidly, how UC models are solved and what purposes they serve need reconsideration. Hence, the book brings together people who understand the problem and people who know what improvements in algorithms are really possible. The two-fold result in The Next Generation of Electric Power Unit Commitment Models is an assessment of industry needs and new formulations and computational approaches that promise to make unit commitment models more responsive to those needs.