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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 |
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| 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 |
Tabla de Contenidos:
- 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.
- 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.
- 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.
- 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.
- 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.