Application of a fuzzy logic based adaptive genetic algorithm in unit commitment

被引：0
|
作者：
Su, Xiaolin [1 ]
机构：
[1] Tsing Hua Univ, Dept Elect Engn, State Key Lab Power Syst, Beijing 100084, Peoples R China
来源：
DYNAMICS OF CONTINUOUS DISCRETE AND IMPULSIVE SYSTEMS-SERIES B-APPLICATIONS & ALGORITHMS | 2006年 / 13卷
关键词：
D O I：
暂无
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
The paper presents an improved adaptive genetic algorithm based on fuzzy logic, and applies it to solve unit commitment problem in power systems. The presented method uses the fuzzy logic system to control crossover ratio, mutation ratio and crossover position of the standard genetic algorithm during population evolution. The method has characteristics of fast search, easy convergence and strong robustness. Unit commitment of example power systems is solved by the proposed method. The calculation results demonstrate the technique is efficient and prospective.
引用
收藏
页码：396 / 400
页数：5
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