Study on control strategy of maximum power capture for DFIG in wind turbine system

2010 ◽  
Author(s):  
Xie Zhen ◽  
Zhang Xing ◽  
Yang Shuying ◽  
Li Qin ◽  
Zhai Wenfeng
Keyword(s):  
Wind Turbine ◽  
Control Strategy ◽  
Maximum Power ◽  
Wind Turbine System ◽  
Power Capture

scholarly journals Indirect Speed Control Strategy for Maximum Power Point Tracking of the DFIG Wind Turbine System

2021 ◽  
Vol 17 (2) ◽  
pp. 92-101
Author(s):  
Adrián Pozo ◽  
Edy Ayala ◽  
Silvio Simani ◽  
Eduardo Muñoz
Keyword(s):  
Wind Turbine ◽  
Control Strategy ◽  
Maximum Power Point Tracking ◽  
Speed Control ◽  
Maximum Power ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Wind Turbine System ◽  
Power Point

In this In this article, a control strategy for Maximum Power Point Tracking (MPPT) of a wind turbine system based on a Doubly Fed Induction Generator (DFIG) is presented. The proposed strategy consists of the Indirect Speed Control (ISC) taking the Low Speed Shaft (LSS) as variable input. This implementation allows the MPPT to optimize the Power coefficient (Cp). The controller has been designed in order to allow the wind turbine to reach the MPPT along the partial load operation. For these experiments, a 1.5 MW wind turbine was modeled and simulated by using Matlab and Fatigue, Aerodynamic, Structure and Turbulence (FAST) software. In order to present the achieved results, a comparison between the ISC and a classical PI controller is made. The Cp curves as well as the output power display an important improvement in terms of stability. These results are possible because the appropriate values of optimal Tip Speed Ratio (TSR) and maximum Cp have been properly established.  article, a control strategy for Maximum Power Point Tracking (MPPT) of a wind turbine system based on a Doubly Fed Induction Generator (DFIG) is presented. The proposed strategy consists of the Indirect Speed Control (ISC) taking the Low Speed Shaft (LSS) as variable input. This implementation allows the MPPT to optimize the Power coefficient (Cp). The controller has been designed in order to allow the wind turbine to reach the MPPT along the partial load operation. For these experiments, a 1.5 MW wind turbine was modeled and simulated by using Matlab and Fatigue, Aerodynamic, Structure and Turbulence (FAST) software. In order to present the achieved results, a comparison between the ISC and a classical PI controller is made. The Cp curves as well as the output power display an important improvement in terms of stability. These results are possible because the appropriate values of optimal Tip Speed Ratio (TSR) and maximum Cp have been properly established. 

Variable Structure Fuzzy-PID Control for DFIG System

2011 ◽  
Vol 204-210 ◽  
pp. 1147-1150
Author(s):  
Le Peng Song ◽  
Zhi Ming Dong ◽  
Rui Zhang
Keyword(s):  
Wind Energy ◽  
Wind Turbine ◽  
Control Strategy ◽  
Reactive Power ◽  
Variable Structure ◽  
Fuzzy Pid Control ◽  
Induction Generators ◽  
Wind Turbine System ◽  
Synchronous Reference Frame ◽  
Fuzzy Control Strategy

In order to most effectively utilize the wind energy and improve the eficiency of wind generation system，an optimum control strategy of doublyfed induction generators (DFIG) was proposed,which made the system operationfor both the maximum wind enemy captured below the rated wind speed．Based on the wind turbine characteristics and basic electromagnetic relationship of DFIG the mathematical models of the stator active power and reactive power of DFIG were derived to fulfill maximal wind energy capture and conversion．A dual-passage excitation fuzzy control strategy based on dynamic synchronous reference frame was applied to control the proposed optimal stator active and reactive power．The operational performan ces of the wind turbine system with DFIG with wind speed variation were analyzed an d compared by using Matlab/Simulink．The results show the correctness and feasibility of the proposed control strategy.

scholarly journals Maximum Power Point Tracking of Wind Turbine Conversion Chain Variable Speed Based on DFIG

2018 ◽  
Vol 9 (2) ◽  
pp. 527 ◽  
Author(s):  
H. Becheri ◽  
I. K. Bousarhanne ◽  
A. Harrouz ◽  
H. Glaoui ◽  
T. Belbekri
Keyword(s):  
Wind Turbine ◽  
Maximum Power ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Wind Turbine System ◽  
Asynchronous Generator ◽  
Power Point ◽  
The Cost ◽  
First Time

Wind energy has many advantages, it does not pollute and it is an inexhaustible source. However, the cost of this energy is still too high to compete with traditional fossil sources. The yield of a wind turbine depends on three parameters: the power of the wind, the turbine power curve and the ability of the generator to respond to fluctuations in the wind. This article presented the MPPT of a wind turbine system equipped with an asynchronous generator has dual power under MatlabSimulink program, in the first time we simulated all the conversion chain with complete model of DFIG and vector control in second stepthen applied the extracted maximum power MPPT strategists, this command is effective and has several advantages it offered to kept the maximum power delivered to network despite all the parameter is change.

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