Handbook of Power Systems I /

Detalles Bibliográficos
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Rebennack, Steffen. (Editor ), Pardalos, Panos M. (Editor ), Pereira, Mario V. F. (Editor ), Iliadis, Niko A. (Editor )
Formato: eBook
Lenguaje:English
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2010.
Edición:1st ed. 2010.
Colección:Energy Systems,
Materias:
Tabla de Contenidos:
  • Operation planning
  • Constructive Dual DP for Reservoir Optimization
  • Long- and Medium-term Operations Planning and Stochastic Modelling in Hydro-dominated Power Systems Based on Stochastic Dual Dynamic Programming
  • Dynamic Management of Hydropower-Irrigation Systems
  • Latest Improvements of EDF Mid-term Power Generation Management
  • Large Scale Integration of Wind Power Generation
  • Optimization Models in the Natural Gas Industry
  • Integrated Electricity–Gas Operations Planning in Long-term Hydroscheduling Based on Stochastic Models
  • Recent Progress in Two-stage Mixed-integer Stochastic Programming with Applications to Power Production Planning
  • Dealing With Load and Generation Cost Uncertainties in Power System Operation Studies: A Fuzzy Approach
  • OBDD-Based Load Shedding Algorithm for Power Systems
  • Solution to Short-term Unit Commitment Problem
  • A Systems Approach for the Optimal Retrofitting of Utility Networks Under Demand and Market Uncertainties
  • Co-Optimization of Energy and Ancillary Service Markets
  • Expansion planning
  • Investment Decisions Under Uncertainty Using Stochastic Dynamic Programming: A Case Study of Wind Power
  • The Integration of Social Concerns into Electricity Power Planning: A Combined Delphi and AHP Approach
  • Transmission Network Expansion Planning Under Deliberate Outages
  • Long-term and Expansion Planning for Electrical Networks Considering Uncertainties
  • Differential Evolution Solution to Transmission Expansion Planning Problem
  • Agent-based Global Energy Management Systems for the Process Industry
  • Optimal Planning of Distributed Generation via Nonlinear Optimization and Genetic Algorithms.