Fr. 188.00

Modern Optimization Techniques with Applications in Electric Power Systems

English · Hardback

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Description

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This book presents the application of some AI related optimization techniques in the operation and control of electric power systems. With practical applications and examples the use of functional analysis, simulated annealing, Tabu-search, Genetic algorithms and fuzzy systems for the optimization of power systems is discussed in detail. Preliminary mathematical concepts are presented before moving to more advanced material.

Researchers and graduate students will benefit from this book. Engineers working in utility companies, operations and control, and resource management will also find this book useful.

List of contents

Chapter 1 Introduction .- Chapter 2 Mathematical Optimization Techniques.- Chapter 3 Economic Operation of Electric Power Systems.- Chapter 4 Economic Dispatches (ED) and Unit Commitment Problem (UCP): Formulation and Solution Algorithms.- Chapter 5 Optimal Power Flow (OPF).- Chapter 6 Long Term Operation of Hydroelectric Power Systems.-Chapter 7 Electric Power Quality Problem

Summary

This book presents the application of some AI related optimization techniques in the operation and control of electric power systems. With practical applications and examples the use of functional analysis, simulated annealing, Tabu-search, Genetic algorithms and fuzzy systems for the optimization of power systems is discussed in detail. Preliminary mathematical concepts are presented before moving to more advanced material.
 
Researchers and graduate students will benefit from this book. Engineers working in utility companies, operations and control, and resource management will also find this book useful. ​

Product details

Authors Abdel-Aal Has Mantawy, Abdel-Aal Hassan Mantawy, Soliman Abde-Hhady Soliman, Soliman Abdel-Had Soliman, Soliman Abdel-Hady Soliman
Publisher Springer, Berlin
 
Languages English
Product format Hardback
Released 24.08.2011
 
EAN 9781461417514
ISBN 978-1-4614-1751-4
No. of pages 414
Dimensions 162 mm x 241 mm x 28 mm
Weight 800 g
Illustrations XVIII, 414 p.
Series Energy Systems
Energy Systems
Subject Natural sciences, medicine, IT, technology > Mathematics > Analysis

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