Using Neuro Fuzzy PI Techniques in Wind Turbine Control

被引：0
|
作者：
Aissaoui, Abdel Ghani [1 ]
Tahour, Ahmed [1 ]
Abid, Mohamed [1 ]
Essounbouli, Najib [2 ]
Nollet, Frederic [2 ]
机构：
[1] Univ Djilali Liabes, Fac Engn Sci, IRECOM Lab, Sidi Bel Abbes 22000, Algeria
[2] IUT Troyes, CReSTIC Lab, F-10026 Troyes, France
来源：
2013 INTERNATIONAL CONFERENCE ON RENEWABLE ENERGY RESEARCH AND APPLICATIONS (ICRERA) | 2013年
关键词：
Wind energy; Induction generator; Neuro-Fuzzy control; Power control;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
In this paper, we develop the overall model of the wind energy conversion systems (WECS) structure based on induction generator (IG). The goal of this paper is to control the power generated by the WECS and transmitted to the grid. We propose a new control strategy based on Neuro-fuzzy technique in order to control the power of the WECS. The main drawback is that the WECS is highly nonlinear. An adaptive Neuro-Fuzzy-PI power controller is proposed to overcome this problem. A Simulation study is done to validate the strategy used in power control.
引用
收藏
页码：605 / 610
页数：6
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