scholarly journals A Flexible Maximum Power Point Tracking Control Strategy Considering Both Conversion Efficiency and Power Fluctuation for Large-inertia Wind Turbines

Energies ◽  
2017 ◽  
Vol 10 (7) ◽  
pp. 939 ◽  
Author(s):  
Hongmin Meng ◽  
Tingting Yang ◽  
Ji-zhen Liu ◽  
Zhongwei Lin
Keyword(s):  
Conversion Efficiency ◽  
Control Strategy ◽  
Tracking Control ◽  
Maximum Power Point Tracking ◽  
Maximum Power ◽  
Power Fluctuation ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

Study of Maximum Power Point Tracking Control Based on GRNN Neural Network

2014 ◽  
Vol 989-994 ◽  
pp. 3427-3432
Author(s):  
Kun Liu ◽  
Tong Zhou Ji ◽  
Xian Yun Li ◽  
Xiong Feng He ◽  
Mei Zhang
Keyword(s):  
Neural Network ◽  
Control Strategy ◽  
Tracking Control ◽  
Maximum Power Point Tracking ◽  
Maximum Power ◽  
Constant Voltage ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

detailed analysis of mathematical model, expounded maximum power point tracking (MPPT) control principle, then a improved constant voltage tracking of maximum power point tracking control based on GRNN neural network is proposed, this control strategy uses predicted voltage of GRNN neural network to instead of constant voltage, has be simulated in Matlab /Simulink, and result is this MPPT method can be more accurate compared to traditional control strategy.

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