A Research on the Fuzzy Control with Genetic Algorithm for Maximum Power Point Tracking of Photovoltaic Power System

被引：1
|
作者：
Dai Yi-zong [1 ]
Miao De-jun [1 ]
机构：
[1] Yangzhou Polytech Coll, Yangzhou 225009, Peoples R China
来源：
SENSORS, MEASUREMENT AND INTELLIGENT MATERIALS, PTS 1-4 | 2013年 / 303-306卷
关键词：
photovoltaic generation system; maximum power point tracking (MPPT); fuzzy control; genetic algorithm;
D O I：
10.4028/www.scientific.net/AMM.303-306.1153
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Based on the nonlinear of the photovoltaic device output power and the frequent changes in the work environment, a fuzzy controller with genetic algorithm was applied to maximum power point tracking (MPPT) of photovoltaic generation system. The problem of difference in the different interval of the maximum point was solved. It ensure that the system has a higher accuracy.By comparing the method of the fuzzy control and the method of fuzzy control with genetic algorithm through simulation, the result demonstrates the better control effect.
引用
收藏
页码：1153 / 1157
页数：5
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