K-1517 Study on Parallel Operations of Wind Turbine-Generator Systems : Part3 Load Control Method of Parallel System

2001 ◽  
Vol II.01.1 (0) ◽  
pp. 307-308
Author(s):  
Tetsuya WAKUI ◽  
Hiroyuki TAKAGI ◽  
Takumi HASHIZUME ◽  
Eisuke OUTA
Keyword(s):  
Wind Turbine ◽  
Control Method ◽  
Parallel System ◽  
Load Control ◽  
Turbine Generator ◽  
Wind Turbine Generator

A Frequency Control Method by Wind Turbine Generator/Battery using Load Estimation in Isolated Power System

2010 ◽  
Vol 130 (12) ◽  
pp. 1039-1048 ◽  
Author(s):  
Akie Uehara ◽  
Bungo Asato ◽  
Atsushi Yona ◽  
Naomitsu Urasaki ◽  
Tomonobu Senjyu ◽  
...  
Keyword(s):  
Power System ◽  
Wind Turbine ◽  
Control Method ◽  
Frequency Control ◽  
Load Estimation ◽  
Turbine Generator ◽  
Wind Turbine Generator

Study on Parallel Operations of Wind Turbine-Generator Systems : Part 6 Behavior of the Parallel System at Starting and Stopping

2002 ◽  
Vol 2002.3 (0) ◽  
pp. 169-170
Author(s):  
Tetsuya WAKUI ◽  
Hiroyuki TAKAGI ◽  
Takumi HASHIZUME ◽  
Toshio NAGAO ◽  
Hisao SAITO
Keyword(s):  
Wind Turbine ◽  
Parallel System ◽  
Turbine Generator ◽  
Wind Turbine Generator

scholarly journals A New Pitch Angle Control Method of Wind Turbine Generators Based on Feedforward Wind Speed Information

2019 ◽  
Vol 122 ◽  
pp. 04001
Author(s):  
Mouayad Sahib ◽  
Thaker Nayl
Keyword(s):  
Power Generation ◽  
Wind Speed ◽  
Wind Turbine ◽  
Pitch Angle ◽  
Control Method ◽  
Turbine Generator ◽  
Wind Turbine Generator ◽  
Intelligent Control System ◽  
Turbine Generators ◽  
New Strategy

In this work, a new strategy to control the pitch angle of wind turbine generator is proposed. The strategy is based on designing an intelligent control system capable of maintaining a stable minimum fluctuating power generation. This can be achieved by providing the wind speed information to the controller in advance and hence allowing the controller to take the optimum action in controlling the blade pitch angle. A model based optimizer uses Model Predictive Control (MPC) technique to predict the wind turbine generator future behaviour and select the optimal control actions assisted by the wind speed information while satisfying the power generation constraints. The simulation results show that a significant improvement can be made using the proposed control method.

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