A novel adaptative maximum power point tracking algorithm for small wind turbines

被引：60

作者：

Kortabarria, Inigo ^{[1
]}

Andreu, Jon ^{[1
]}

Martinez de Alegria, Inigo ^{[1
]}

Jimenez, Jaime ^{[1
]}

Ignacio Garate, Jose ^{[1
]}

Robles, Eider ^{[2
]}

机构：

[1] Univ Basque Country UPV EHU, Dept Elect Technol, Bilbao 48013, Spain

[2] Tecnalia, Energy Unit, Derio 48160, Spain

来源：

RENEWABLE ENERGY | 2014年 / 63卷

关键词：

Perturb and observe (P&O); Maximum power point (MPP) tracking (MPPT); Wind energy conversion system (WECS); Small wind turbine (SWT); CONTROLLER;

D O I：

10.1016/j.renene.2013.10.036

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

A novel maximum power point tracking algorithm for small wind turbines is proposed. The solution presented here is an adaptive intelligent algorithm that uses a new advanced perturb and observe method to search for the optimum relationship of the system for tracking the maximum power point even under variable wind conditions. The validity of the proposed algorithm is analysed and the design procedure is presented. Its main virtue resides in its capability to adapt to changes in the turbine and in the surrounding environment, even under variable wind conditions, improving the efficiency of the system. The experimental results confirm the validity of the proposed algorithm. (C) 2013 Elsevier Ltd. All rights reserved.

引用

页码：785 / 796

页数：12

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