A Comparative Analysis of Some Methods for Wind Turbine Maximum Power Point Tracking

被引：2
|
作者：
Volosencu, Constantin [1 ]
机构：
[1] Politeh Univ Timisoara, Fac Automat & Comp, Dept Automat & Appl Informat, Timisoara 300223, Romania
来源：
MATHEMATICS | 2021年 / 9卷 / 19期
关键词：
wind energy; maximum power point tracking; on-off control; fuzzy control; deep learning; neural network predictive control; neural identification;
D O I：
10.3390/math9192399
中图分类号：
O1 [数学];
学科分类号：
0701 ; 070101 ;
摘要：
The study in the paper is placed in the broad context of research for increasing the efficiency of capturing and converting wind energy. The purpose of the study is to analyze some mathematical methods for maximum power point tracking in wind turbines. The mathematical methods studied are on-off control, fuzzy control, and neural predictive control. The rules developed for maximum power point tracking are presented. The related control structures and their design methods are presented. The behaviors of the control systems and their energy efficiency are analyzed. Maximum power point tracking ensures a significant increase in the energy generated compared to the unfavorable case of operation at a small and constant load torque. The differences in energy efficiency between the methods of maximum power point tracking studied are small.
引用
收藏
页数：33
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