Expert Control Systems for Maximum Power Point Tracking in a Wind Turbine with PMSG: State of the Art

被引:24
|
作者
Chavero-Navarrete, Ernesto [1 ,2 ]
Trejo-Perea, Mario [2 ]
Carlos Jauregui-Correa, Juan [2 ]
Valentin Carrillo-Serrano, Roberto [2 ]
Gabriel Rios-Moreno, Jose [2 ]
机构
[1] Ctr Tecnol Avanzada CIATEQ AC, Queretaro 76150, Mexico
[2] Univ Autonoma Queretaro, Fac Ingn, Queretaro 76010, Mexico
来源
APPLIED SCIENCES-BASEL | 2019年 / 9卷 / 12期
关键词
control systems; wind power generation; artificial neural network; fuzzy logic control; intelligent search algorithms; NEURAL-NETWORK; PITCH CONTROL; DYNAMIC PERFORMANCE; PI CONTROLLER; FUZZY-LOGIC; OPTIMIZATION; DESIGN; ANGLE; ENHANCEMENT; ALGORITHMS;
D O I
10.3390/app9122469
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Wind power is a renewable energy source that has been developed in recent years. Large turbines are increasingly seen. The advantage of generating electrical power in this way is that it can be connected to the grid, making it an economical and easily available source of energy. The fundamental problem of a wind turbine is the randomness in a wide range of wind speeds that determine the electrical energy generated, as well as abrupt changes in wind speed that make the system unstable and unsafe. A conventional control system based on a mathematical model is effective with moderate disturbances, but slow with very large oscillations such as those produced by turbulence. To solve this problem, expert control systems (ECS) are proposed, which are based on human experience and an adequate management of stored information of each of its variables, providing a way to determine solutions. This revision of recent years, mentions the expert systems developed to obtain the point of maximum power generation in a wind turbine with permanent magnet synchronous generator (PMSG) and, therefore, offers a control solution that adapts to the specifications of any wind turbine.
引用
收藏
页数:24
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