Intelligent Control of Grid Connected Unified Doubly-Fed Induction Generator

被引：0

作者：

Singh, Bharat ^{[1
]}

Kyriakides, Elias ^{[1
]}

Singh, Sri Niwas ^{[2
]}

机构：

[1] Univ Cyprus, KIOS Res Ctr Intelligent Syst & Networks, CY-1678 Nicosia, Cyprus

[2] Indian Inst Technol, Dept Elect Engn, Kanpur 208016, Uttar Pradesh, India

来源：

IEEE POWER AND ENERGY SOCIETY GENERAL MEETING 2010 | 2010年

关键词：

ANFIS; computational intelligence; DFIG; induction generator; Unified DFIG; wind power; FUZZY-LOGIC CONTROLLER; POWER ELECTRONICS; WIND TURBINES; SYSTEM; STABILITY; MACHINE; DRIVES;

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：

A nonlinear adaptive neuro-fuzzy inference system (ANFIS) based controller is proposed for power electronic systems (PES) of grid connected unified doubly-fed induction generators (DFIG). The unified DFIG utilizes an additional series grid-side converter (SGSC) connected in series with the stator winding of the DFIG to inject voltage into the grid for compensation purposes. The SGSC is useful in tolerating voltage disturbances at the point of common coupling, compared to the conventional DFIG. The conventional proportional integrator (PI) controller of the PES of a unified DFIG is replaced with a nonlinear adaptive neuro-fuzzy inference system (ANFIS) based controller applied for adaptive, fast, and efficient control of power electronic systems. The performance of the conventional PI and ANFIS based controllers are compared on a test system. The transient response of ANFIS based controllers is found to be better compared to the conventional PI controllers.

引用

页数：7

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