Modelling and Fuzzy Logic Control of DFIG Based Wind Energy Conversion Systems

被引：0

作者：

Belmokhtar, Karim ^{[1
]}

Doumbia, Mamadou. L. ^{[1
]}

Agbossou, Kodjo ^{[1
]}

机构：

[1] Univ Quebec Trois Rivieres, Dept Elect & Comp Engn, Hydrogen Res Inst, Ind Elect Res Grp, Trois Rivieres, PQ G9A 5H7, Canada

来源：

2012 IEEE INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS (ISIE) | 2012年

关键词：

Wind turbine; DFIG; MPPT; Fuzzy Logic Control; SPEED;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper proposes the modelling and control of Wind Energy Conversion Systems (WECS) based on Doubly Fed Induction Generator (DFIG). The fuzzy logic control is used to improve the extracted wind power. At given wind velocity, the mechanical power available from a wind turbine is a function of its shafts speed. Then, the rotor side converter (RSC) is controlled in the aim to follow the optimal torque for given maximal wind power. A new maximum power point tracking (MPPT) strategy based on the fuzzy logic controller was developed. Moreover, a new approach to estimate the speed from the measurement of the power is presented. The effectiveness of the proposed control strategies is validated by theoretical analysis and simulation carried out in Matlab/Simulink environment.

引用

页码：1888 / 1893

页数：6

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