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Classical and Recent Aspects of Power System Optimization.
Classical and Recent Aspects of Power System Optimization presents conventional and meta-heuristic optimization methods and algorithms for power system studies. The classic aspects of optimization in power systems, such as optimal power flow, economic dispatch, unit commitment and power quality opti...
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
[Place of publication not identified] :
Elsevier Ltd. : Academic Press,
2018.
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| Edición: | First edition. |
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 245 | 0 | 0 | |a Classical and Recent Aspects of Power System Optimization. |
| 250 | |a First edition. | ||
| 264 | 1 | |a [Place of publication not identified] : |b Elsevier Ltd. : |b Academic Press, |c 2018. | |
| 300 | |a 1 online resource | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 588 | 0 | |a Online resource; title from PDF title page (EBSCO, viewed June 20, 2018). | |
| 505 | 0 | |a Intro; Title page; Table of Contents; Copyright; Dedication; Contributors; Preface; Chapter 1: Optimization Methods Applied to Power Systems: Current Practices and Challenges; Abstract; 1 Introduction; 2 Key Scheduling Problems in Power System Operation; 3 Optimization Methods; 4 Applications of Optimization Methods on Emerging Challenges; 5 Current Challenges for Optimization Methods Applicable to Power Systems; 6 Summary; Chapter 2: Application of Robust Optimization Method to Power System Problems; Abstract; 1 Introduction. | |
| 505 | 8 | |a 2 Different Approaches Implemented to Handle Uncertainty Optimization3 Robust Optimization Method; 4 Classification of Problems Handled by Robust Optimization; 5 Case Study; 6 Conclusion; Chapter 3: Application of New Fast, Efficient-Self adjusting PSO-Search Algorithms in Power Systems' Studies; Abstract; 1 Introduction; 2 Overview of PSO Algorithm; 3 The Description of Proposed SAPSO Algorithms; 4 Comparison and Selection of the Best Algorithm Among Other Proposed Algorithms; 5 Application of Proposed Algorithms to Reactive Power Market Problem; 6 Conclusion and Extended Work. | |
| 505 | 8 | |a Chapter 4: Implementation of Radial Movement Optimization (RMO) Algorithm for Solving Economic Dispatch and Fixed Head Hydrothermal Generation SchedulingAbstract; 1 Introduction; 2 Radial Movement Optimization (RMO); 3 Economic Dispatch; 4 Fixed Head Hydro Thermal Scheduling; 5 Conclusions; Chapter 5: An Intelligent Approach Based on Metaheuristic for Generator Maintenance Scheduling; Abstract; 1 Introduction; 2 Problem Formulation; 3 Probabilistic Modeling; 4 Application of Genetic Algorithm for GMS; 5 Results and Discussion; 6 Conclusion. | |
| 505 | 8 | |a Chapter 6: Decomposition Methods for Distributed Optimal Power Flow: Panorama and Case Studies of the DC ModelAbstract; 1 Introduction; 2 DC Optimal Power Flow Formulation; 3 Lagrangian Decomposition Method; 4 Augmented Lagrangian Decomposition Method; 5 Distributed Optimization for Economic Dispatch of Microgrids; 6 Conclusion and Future Trends; Chapter 7: Optimal Power Flow Using Recent Optimization Techniques; Abstract; 1 Introduction; 2 OPF Overview; 3 Optimal Power Flow Problem Formulation; 4 Conventional Optimization Methods for Optimal Power Flow. | |
| 505 | 8 | |a 5 Recent Optimization Methods for Optimal Power Flow6 Conclusions; Chapter 8: Optimal Conductor Selection of Radial Distribution Feeders: An Overview and New Application Using Grasshopper Optimization Algorithm; Abstract; 1 Introduction; 2 Problem Formulation; 3 Overview of Grasshopper Optimization Algorithm; 4 Simulation Results and Discussions; 5 Conclusions; Chapter 9: Classical and Recent Aspects of Active Power Filters for Power Quality Improvement; Abstract; 1 Introduction; 2 Types of Active Power Filters; 3 Power Circuits for Realization of Active Power Filters. | |
| 520 | |a Classical and Recent Aspects of Power System Optimization presents conventional and meta-heuristic optimization methods and algorithms for power system studies. The classic aspects of optimization in power systems, such as optimal power flow, economic dispatch, unit commitment and power quality optimization are covered, as are issues relating to distributed generation sizing, allocation problems, scheduling of renewable resources, energy storage, power reserve based problems, efficient use of smart grid capabilities, and protection studies in modern power systems. The book brings together innovative research outcomes, programs, algorithms and approaches that consolidate the present state and future challenges for power. | ||
| 650 | 0 | |a Mathematical optimization. | |
| 650 | 0 | |a Electric power systems. | |
| 650 | 6 | |a Optimisation math�ematique. |0 (CaQQLa)201-0007680 | |
| 650 | 6 | |a R�eseaux �electriques (�Energie) |0 (CaQQLa)201-0020539 | |
| 650 | 7 | |a MATHEMATICS |x Applied. |2 bisacsh | |
| 650 | 7 | |a MATHEMATICS |x Probability & Statistics |x General. |2 bisacsh | |
| 650 | 7 | |a Electric power systems |2 fast |0 (OCoLC)fst00905529 | |
| 650 | 7 | |a Mathematical optimization |2 fast |0 (OCoLC)fst01012099 | |
| 700 | 1 | |a Zobaa, Ahmed F., |e editor. | |
| 700 | 1 | |a Aleem, Shady H.E Abdel. | |
| 700 | 1 | |a Abdelaziz, Almoataz Youssef. | |
| 776 | 0 | 8 | |i Print version: |t Classical and Recent Aspects of Power System Optimization. |b First edition. |d [Place of publication not identified] : Elsevier Ltd. : Academic Press, 2018 |z 0128124415 |z 9780128124413 |w (OCoLC)1013720716 |
| 856 | 4 | 0 | |u https://sciencedirect.uam.elogim.com/science/book/9780128124413 |z Texto completo |