A fuzzy controller for maximum energy extraction from variable speed wind power generation systems

被引：90

作者：

Calderaro, V. ^{[1
]}

Galdi, V. ^{[1
]}

Piccolo, A. ^{[1
]}

Siano, P. ^{[1
]}

机构：

[1] Univ Salerno, Dept Informat & Elect Engn DIIIE, I-84084 Salerno, Italy

来源：

ELECTRIC POWER SYSTEMS RESEARCH | 2008年 / 78卷 / 06期

关键词：

wind turbine; fuzzy control; doubly fed induction generator; variable speed wind turbines;

D O I：

10.1016/j.epsr.2007.09.004

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：

The wind power production spreading, also aided by the transition from constant to variable speed operation, involves the development of efficient control systems to improve the effectiveness of wind systems. This paper presents a data-driven design methodology able to generate a Takagi-Sugeno-Kang (TSK) fuzzy model for maximum energy extraction from variable speed wind turbines. In order to obtain the TSK model, fuzzy clustering methods for partitioning the input-output space, combined with genetic algorithms (GA), and recursive least-squares (LS) optimization methods for model parameter adaptation are used. The implemented TSK fuzzy model, as confirmed by some simulation results on a doubly fed induction generator connected to a power system, exhibits high speed of computation, low memory occupancy, fault tolerance and learning capability. (c) 2007 Elsevier B.V. All rights reserved.

引用

页码：1109 / 1118

页数：10

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