A hydro unit commitment model using genetic algorithm

被引:7
|
作者
Santos, EF [1 ]
Ohishi, T [1 ]
机构
[1] Univ Estadual Campinas, Fac Elect & Comp Engn, Campinas, SP, Brazil
关键词
hydropower generation system; power loss function; pre-dispatch; genetic algorithms;
D O I
10.1109/CEC.2004.1331056
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper 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.
引用
收藏
页码:1368 / 1374
页数:7
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