Variable Pitch Control Strategy of Wind Power Generation Based on BPNN-PID algorithm

Author(s):  
PAN Lei ◽  
FENG Hao ◽  
WANG Hai-hua ◽  
ZHANG Tian-wei
2013 ◽  
Vol 394 ◽  
pp. 404-409
Author(s):  
Feng Zhang ◽  
Ye Hui Lu ◽  
Feng Qiao ◽  
Chong Chong Bai

A large variable speed constant frequency (VSCF) wind power system usually adopts the variable pitch control technology to ensure the output power is steady to ensure the safety of the wind power system above the rated wind speed. But the strong nonlinear and large moment of inertia of wind turbine result in the difficulty of variable pitch control, both simple fuzzy control and conventional PID control can not achieve a good control effect. Concerning this issue, variable pitch control algorithm is proposed based on self-tuning fuzzy adaptive PID control strategy. According to the dynamic model of VSCF, a simulation model of wind turbine control system is built in this paper with Matlab/Simulink. When the wind speed is random variable above the rated speed, the simulation results show that the proposed control strategy can keep the output power of the system around the rated power.


2019 ◽  
Vol 52 (3-4) ◽  
pp. 169-182 ◽  
Author(s):  
R Sitharthan ◽  
CK Sundarabalan ◽  
KR Devabalaji ◽  
T Yuvaraj ◽  
A Mohamed Imran

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.


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