<E-Book>
Modern Optimization Techniques with Applications in Electric Power Systems / by Soliman Abdel-Hady Soliman, Abdel-Aal Hassan Mantawy
(Energy Systems. ISSN:18679005)
Edition | 1st ed. 2012. |
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Publisher | (New York, NY : Springer New York : Imprint: Springer) |
Year | 2012 |
Size | XVIII, 414 p : online resource |
Authors | *Soliman, Soliman Abdel-Hady author Mantawy, Abdel-Aal Hassan author SpringerLink (Online service) |
Subjects | LCSH:Operator theory LCSH:Mathematics—Data processing LCSH:Operations research LCSH:Management science LCSH:Mathematical optimization FREE:Operator Theory FREE:Computational Science and Engineering FREE:Operations Research, Management Science FREE:Optimization |
Notes | 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 This book presents the application of some AI related modern 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, senior undergraduate and graduate students will benefit from this book. Engineers working in utility companies, operations and control, and water resource management will also find this book useful HTTP:URL=https://doi.org/10.1007/978-1-4614-1752-1 |
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E-Book | Location | Media type | Volume | Call No. | Status | Reserve | Comments | ISBN | Printed | Restriction | Designated Book | Barcode No. |
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E-Book | オンライン | 電子ブック |
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Springer eBooks | 9781461417521 |
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電子リソース |
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EB00198437 |
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Material Type | E-Book |
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Classification | LCC:QA329-329.9 DC23:515.724 |
ID | 4000117853 |
ISBN | 9781461417521 |
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