New maximum power point tracking for wind turbines

被引：0
|
作者：
Lafi, Alnufaie [1 ]
机构：
[1] Shaqra Univ, Coll Engn, Dept Elect Engn, Shaqraa, Saudi Arabia
来源：
INTERNATIONAL JOURNAL OF ADVANCED AND APPLIED SCIENCES | 2019年 / 6卷 / 10期
关键词：
Maximum power point tracking; Fuzzy controller; Wind speed; Wind energy; FUZZY-LOGIC; ALGORITHM; SYSTEMS;
D O I：
10.21833/ijaas.2019.10.012
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
In this paper, we deal with the maximum power point tracking problem for wind generator in a standalone installation. The aim is to develop a new algorithm to get the value of optimal power. So, we intend to use fuzzy logic to exploit its robustness in presence on not certainties and its simplicity of design. In order to improve human expertise, we aim to use two evolutionary algorithms as Particle Swarm Optimization and Genetic Algorithms. Lots of simulation results are introduced to show the obtained improvement. (C) 2019 The Authors. Published by IASE.
引用
收藏
页码：73 / 82
页数：10
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