Stochastic Optimization of a Multireservoir Hydroelectric System: A Decomposition Approach

Stochastic Optimization of a Multireservoir Hydroelectric System: A Decomposition Approach

A computational scheme that is able to determine at each stage the most economical generation decision for each plant of a hydrothermal system is presented. The algorithm is based on the stochastic extension of Benders decomposition and can be implemented from already existing operation models. The...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Water Resour. Res.; (United States) 1985-06, Vol.21 (6), p.779-792
Hauptverfasser: Pereira, M. V. F., Pinto, L. M. V. G.
Format: Artikel
Sprache:eng
Schlagworte:
130100 - Hydro Energy- Resources & Availability
20 FOSSIL-FUELED POWER PLANTS
200102 - Fossil-Fueled Power Plants- Power Cycles
ALGORITHMS
BRAZIL
COMPUTERIZED SIMULATION
DEVELOPING COUNTRIES
ECONOMIC ANALYSIS
ECONOMICS
HYDRO ENERGY
HYDROELECTRIC POWER PLANTS
LATIN AMERICA
MANAGEMENT
MATHEMATICAL LOGIC
MATHEMATICAL MODELS
OPTIMIZATION
PLANNING
POWER PLANTS
SIMULATION
SOUTH AMERICA
THERMAL POWER PLANTS
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:A computational scheme that is able to determine at each stage the most economical generation decision for each plant of a hydrothermal system is presented. The algorithm is based on the stochastic extension of Benders decomposition and can be implemented from already existing operation models. The results can be used in the weekly or monthly generation scheduling activities in real‐time operation. A case study with 37 reservoirs of the Brazilian system is presented and discussed.
ISSN:0043-1397
1944-7973
DOI:10.1029/WR021i006p00779