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Mathematical Models and Algorithms for Power System Optimization Modeling Technology for Practical Engineering Problems
Autor/Hrsg.: Fan, Mingtian , Zhang, Zuping , Wang, ChengminOrt: London
Verlag: Elsevier, AP, Academic Press
Jahr: [2019]
Umfang: xix, 429 pages :
ISBN: 9780128132319
| Autor/Hrsg.: | Fan, Mingtian |
|---|---|
| Autor/Hrsg.: | Zhang, Zuping |
| Autor/Hrsg.: | Wang, Chengmin |
| Titel: | Mathematical Models and Algorithms for Power System Optimization |
| Untertitel: | Modeling Technology for Practical Engineering Problems |
| Ort: | London |
| Ort: | [Beijing] |
| Verlag: | Elsevier, AP, Academic Press |
| Verlag: | China Electric Power Press |
| Jahr: | [2019] |
| Umfang: |
xix, 429 pages |
| Details: |
illustrations |
| ISBN: | 9780128132319 |
| Fußnote: | 1. Introduction 2. Daily Economic Dispatch Optimization With Pumped Storage Plant for a Multiarea System 3. Optimization of Annual Generator Maintenance Scheduling 4. New Algorithms Related to Power Flow 5. Load Optimization for Power Network 6. Discrete Optimization for Reactive Power Planning 7. Optimization Method for Load Frequency Feed Forward Control 8. Local Decoupling Control Method for Transient Stability of a Power System 9. Optimization of Electricity Market Transaction Decision Based on Market General Equilibrium; Appendix A. An Approximation Method for Mixed Integer Programming B. The Differential Expressions for Transformer Tap and Shunt Capacitor Unit C. A DC Load Flow Method for Calculating Generation Angle |
| Kurzbeschreibung: | Mathematical Models and Algorithms for Power System Optimization helps readers build a thorough understanding of new technologies and world-class practices developed by the State Grid Corporation of China, the organization responsible for the world's largest power distribution network. This reference covers three areas: power operation planning, electric grid investment and operational planning and power system control. It introduces economic dispatching, generator maintenance scheduling, power flow, optimal load flow, reactive power planning, load frequency control and transient stability, using mathematic models including optimization, dynamic, differential and difference equations.- Provides insights on the development of new mathematical models of power system optimization- Analyzes power systems comprehensively to create novel mathematic models and algorithms for issues related to the planning operation of power systems- Includes research on the optimization of power systems and related practical research projects carried out since 1981 |
| RVK-Notation: | |
| Bestand Bayern: | BV046061583 |
