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Uncertainties in modern power systems /

Uncertainties in Modern Power Systems combines several aspects of uncertainty management in power systems at the planning and operation stages within an integrated framework. This book provides the state-of-the-art in electric network planning, including time-scales, reliability, quality, optimal al...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Zobaa, Ahmed F. (Editor ), Abdel Aleem, Shady H. E. (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: San Diego, CA : Academic Press, an imprint of Elsevier, [2021]
Temas:
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Preface
  • Chapter 1. Overview of uncertainties in modern power systems: uncertainty models and methods
  • 1. Introduction
  • 2. Uncertainty models of parameters in power systems
  • 2.1 Load demand uncertainty model
  • 2.2 Wind energy uncertainty model
  • 2.3 PV energy uncertainty model
  • 2.4 PEVs uncertainty model
  • 2.5 Electricity price uncertainty model
  • 2.6 Load growth uncertainty model
  • 3. Uncertainty modeling methods
  • 3.1 Probabilistic methods
  • 3.2.2 Defuzzification
  • 3.3 Hybrid methods
  • 3.3.1 Fuzzy scenario
  • 3.3.2 Fuzzy MCS
  • 3.4 Information gap decision theory
  • 3.5 Robust optimization
  • 3.6 Interval analysis
  • 4. Future trends
  • References
  • Chapter 2. Expansion planning of transmission networks
  • 1. Introduction
  • 2. Definition of uncertainties in the structure of modern power systems
  • 3. Deterministic programing-based expansion planning of transmission networks
  • 4. Stochastic programing-based expansion planning of transmission networks
  • 4.1 Point estimation method-based transmission expansion planning formulation
  • 4.2 Chance constraint programming-based transmission expansion planning formulation
  • 4.3 Scenario-based transmission expansion planning formulation
  • 4.3.1 Robustness criterion approach
  • 4.3.2 Flexibility criterion approach
  • 5. Robust programming-based expansion planning of transmission networks
  • 5.1 Robust optimization-based transmission expansion planning formulation
  • 5.2 Information gap decision theory-based transmission expansion planning formulation
  • 6. Hybrid robust/stochastic programming-based expansion planning of transmission networks
  • 6.1 Data-driven robust optimization-based transmission expansion planning formulation
  • 6.2 Short-term and long-term uncertainty modeling-based transmission expansion planning formulation
  • 7. Conclusion
  • References