Assessment of proposed maximum power point tracking-unity power factor algorithms for optimum operation permanent magnet synchronous generator-based wind turbine

被引:7
作者
Nadia, Elsonbaty A. [1 ]
Mohamed, Enany A. [1 ]
Mahmoud, Elymany [1 ]
机构
[1] Zagazig Univ, Fac Engn, Elect Power & Machines Engn, Zagazig 44519, Egypt
关键词
Permanent magnet synchronous generator; maximum power point tracking; unity power factor; current control schemes; SYSTEM;
D O I
10.1177/0309524X20901624
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
It is very important to select proper maximum power point tracking algorithm in order to achieve best performance and low cost for wind turbine-generator combination. A permanent magnet synchronous generator steady-state unity power factor analytical model based on a current source-equivalent circuit is provided. Validation of the identified load angle effect in current source as compared with that of the commonly used voltage source permanent magnet synchronous generator is presented. Then three new maximum power point tracking-load angle control algorithms based on current source model are presented. They all apply magnitude and frequency control techniques for Digital Signal Processor control systems. The first one presents maximum power point tracking-unity power factor applying constrained load angle control algorithm. The merits of the next two developed schemes are quickly and precisely tracking the maximum power output of the wind turbine; thus, the second and third algorithms are then characterized with linear control systems. The linearity of the second scenario is between load angle and reference speed while the third one has a load angle-torque linear relationship which shows its optimality. Finally, the controlled characteristics and implementation for the optimum case are presented for both stationary and synchronous reference frames (for vector control purposes). Simulation modeling for optimum case is provided and its results match well with the proposed predictive control algorithm.
引用
收藏
页码:381 / 399
页数:19
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