Integrated control strategy of multibrid wind power generation system

2012 ◽  
Author(s):  
Guangchen Liu ◽  
Shengtie Wang ◽  
Hong Zhang ◽  
Bo Wang
Keyword(s):  
Power Generation ◽  
Wind Power ◽  
Control Strategy ◽  
Integrated Control ◽  
Wind Power Generation ◽  
Generation System ◽  
Power Generation System

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.

Maximum Wind Power Tracking Strategy of Wind Power Generation System

2013 ◽  
Vol 313-314 ◽  
pp. 813-816
Author(s):  
Yue Hua Huang ◽  
Huan Huan Li ◽  
Guang Xu Li
Keyword(s):  
Power Generation ◽  
Wind Speed ◽  
Wind Power ◽  
Control Strategy ◽  
Wind Power Generation ◽  
Maximum Power ◽  
Speed Ratio ◽  
Generation System ◽  
Maximum Wind ◽  
Power Generation System

Aiming at maximum wind power tracking control problem of wind power generation system below the rated wind speed, this paper presents an improved MPPT control strategy by using turbulent part of the wind speed as a search signal to find the maximum power point. By using the Matlab/Simulink simulation of the wind power generation system below the rated wind speed, this paper proves the effectiveness of this control strategy. The simulation results show that improved MPPT control strategy can well control the wind turbine speed to track the wind speed changes to maintain optimum tip speed ratio and the maximum power coefficient.

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