NN Self-Tuning Pitch Angle Controller of Wind Power Generation Unit

2006 ◽  
Author(s):  
A. Bati ◽  
S. Leabi
Keyword(s):  
Power Generation ◽  
Wind Power ◽  
Pitch Angle ◽  
Wind Power Generation ◽  
Power Generation Unit ◽  
Self Tuning ◽  
Generation Unit

scholarly journals Automated power management strategy for wind power generation system using pitch angle controller

2019 ◽  
Vol 52 (3-4) ◽  
pp. 169-182 ◽  
Author(s):  
R Sitharthan ◽  
CK Sundarabalan ◽  
KR Devabalaji ◽  
T Yuvaraj ◽  
A Mohamed Imran
Keyword(s):  
Power Generation ◽  
Wind Power ◽  
Power Management ◽  
Control Strategy ◽  
Pitch Angle ◽  
Reactive Power ◽  
Research Work ◽  
Wind Power Generation ◽  
Generation System ◽  
Power Generation System

In this literature, a new automated control strategy has been developed to manage the power supply from the wind power generation system to the load. The main objective of this research work is to develop a fuzzy logic–based pitch angle control and to develop a static transfer switch to make power balance between the wind power generation system and the loads. The power management control system is a progression of logic expressions, designed based on generating power and load power requirement. The outcome of this work targets at an improved power production, active and reactive power compensation and ensures system load constraints. To validate the proposed control strategy, a detailed simulation study is carried out on a 9-MW wind farm simulation simulated in MATLAB/Simulink environment.

Control of Wind Power Plant for Cooperation with Conventional Power Generation Unit and HVDC Classic Link

2012 ◽  
Vol 45 (21) ◽  
pp. 319-324
Author(s):  
Li-Jun Cai ◽  
Simon Jensen ◽  
Vincenz Dinkhauser ◽  
István Erlich
Keyword(s):  
Power Generation ◽  
Power Plant ◽  
Wind Power ◽  
Wind Power Plant ◽  
Power Generation Unit ◽  
Generation Unit

scholarly journals Power Optimization for Wind Turbines Based on Stacking Model and Pitch Angle Adjustment

Energies ◽  
2020 ◽  
Vol 13 (16) ◽  
pp. 4158 ◽  
Author(s):  
Zhikun Luo ◽  
Zhifeng Sun ◽  
Fengli Ma ◽  
Yihan Qin ◽  
Shihao Ma
Keyword(s):  
Power Generation ◽  
Wind Power ◽  
Wind Turbines ◽  
Power Output ◽  
Pitch Angle ◽  
Power Optimization ◽  
Wind Power Generation ◽  
Gradient Boosting ◽  
Light Gradient ◽  
Extreme Gradient Boosting

As we know, power optimization for wind turbines has great significance in the area of wind power generation, which means to make use of wind resources more efficiently. Especially nowadays, wind power generation has become more and more important. Generally speaking, many parameters could be optimized to enhance power output, including blade pitch angle, which is usually ignored. In this article, a stacking model composed of Random Forest (RF), Gradient Boosting Decision Tree (GBDT), Extreme Gradient Boosting (XGBOOST) and Light Gradient Boosting Machine (LGBM) is trained based on historical data exported from the Supervisory Control and Data Acquisition (SCADA) system for output power prediction. Then, we carry out power optimization through pitch angle adjustment based on the obtained prediction model. Our research results indicate that power output could be enhanced by adjusting pitch angle appropriately.

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