DocumentCode :
3398790
Title :
A hydro unit commitment model using genetic algorithm
Author :
Santos, Erinaldo F. ; Ohishi, Takaaki
Author_Institution :
Fac. of Electr. & Comput. Eng., Campinas State Univ., Brazil
Volume :
2
fYear :
2004
fDate :
19-23 June 2004
Firstpage :
1368
Abstract :
This work presents an unit commitment model for hydroelectric power systems. The hydro unit commitment has great influence on the system´s efficiency and it must be considered at the pre-dispatch level. The proposed approach determines a hydro unit startup/shutdown schedule and its corresponding power output schedule for the next day. The model formulated is a mixed optimization problem and a hybrid approach based on a genetic algorithms and a continuous non-linear optimization techniques. The methodology decomposes the problem in two sub-problems: the first one determines the startup/shutdown schedule using a genetic algorithms technique; and the second sub-problem calculates the power output of all committed hydro units selected by the genetic algorithms. This approach was applied to three hydroelectric systems.
Keywords :
genetic algorithms; hydroelectric power; power engineering computing; power generation scheduling; continuous nonlinear optimization; genetic algorithm; hydro unit commitment model; hydro unit startup-shutdown schedule; hydroelectric power systems; mixed optimization problem; power loss function; power output schedule; Cost function; Genetic algorithms; Hydroelectric power generation; Lagrangian functions; Power engineering and energy; Power engineering computing; Power system modeling; Power system planning; Processor scheduling; Productivity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolutionary Computation, 2004. CEC2004. Congress on
Print_ISBN :
0-7803-8515-2
Type :
conf
DOI :
10.1109/CEC.2004.1331056
Filename :
1331056
Link To Document :
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