A Solution to the Unit Commitment Using Hybrid Genetic Algorithm

被引：0
|
作者：
Chang, Wenping [1 ]
Luo, Xianjue [2 ]
机构：
[1] Henan Mech & Elect Engn Coll, Dept Elect Engn, Henan, Peoples R China
[2] Xi An Jiao Tong Univ, Sch Elect Engn, Xian, Peoples R China
来源：
2008 IEEE REGION 10 CONFERENCE: TENCON 2008, VOLS 1-4 | 2008年
关键词：
Unit commitment; economic dispatch; genetic algorithm; lambda-iteration method;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
A hybrid genetic algorithm (HGA) is presented to solve the thermal unit commitment (UC). It effectively uses the binary-coded genetic algorithm incorporating a priority list ordering scheme to solve the unit commitment up/down problem and the lambda-iteration method to solve the power economic dispatch problem, This modification helps to explore the search space very effectively, It generates better solutions than the other methods. Problem formulation, representation and the simulation results with systems of up to 10 units and 24-h scheduling horizon are presented.
引用
收藏
页码：1388 / +
页数：3
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