Methods for Increasing Region 2 Power Capture on a Variable-Speed Wind Turbine

2004 ◽  
Vol 126 (4) ◽  
pp. 1092-1100 ◽  
Author(s):  
Kathryn E. Johnson ◽  
Lee J. Fingersh ◽  
Mark J. Balas ◽  
Lucy Y. Pao

The standard region 2 control scheme for a variable-speed wind turbine, τc=Kω2, has several shortcomings that can result in significant power loss. The first of these is that there is no accurate way to determine the gain K; modeling programs are not accurate enough to represent all of the complex aerodynamics, and these aerodynamics change over time. Furthermore, it is not certain whether the value of K used in the standard control even provides for the maximum energy capture under real-world turbulent conditions. We introduce new control methods to address these issues. First, we show in simulation that using smaller values of K than the standard can result in increased energy capture. Second, we give simulation results showing that an optimally tracking rotor control scheme can improve upon the standard scheme by assisting the rotor speed in tracking wind-speed fluctuations more rapidly. Finally, we propose an adaptive control scheme that allows for maximum power capture despite parameter uncertainty.

2015 ◽  
Vol 2015 ◽  
pp. 1-10
Author(s):  
Saravanakumar Rajendran ◽  
Debashisha Jena

This paper proposes the two nonlinear controllers for variable speed wind turbine (VSWT) operating at below rated wind speed. The objective of the controller is to maximize the energy capture from the wind with reduced oscillation on the drive train. The conventional controllers such as aerodynamic torque feedforward (ATF) and indirect speed control (ISC) are adapted initially, which introduce more power loss, and the dynamic aspects of WT are not considered. In order to overcome the above drawbacks, modified nonlinear static state with feedback estimator (MNSSFE) and terminal sliding mode controller (TSMC) based on Modified Newton Raphson (MNR) wind speed estimator are proposed. The proposed controllers are simulated with nonlinear FAST (fatigue, aerodynamics, structures, and turbulence) WT dynamic simulation for different mean wind speeds at below rated wind speed. The frequency analysis of the drive train torque is done by taking the power spectral density (PSD) of low speed shaft torque. From the result, it is found that a trade-off is to be maintained between the transient load on the drive train and maximum power capture.


This paper focuses on modelling of a standalone variable speed wind turbine using MATLAB and increasing its performance by extracting the maximum power below rated wind velocity using MPPT algorithm and maintaining constant power using active pitch angle control for above rated wind velocity. The wind turbine is coupled to a Permanent Magnet Synchronous Generator (PMSG) which can operate on variable speed. A variable resistive load will extract the maximum energy possible and utilise it for heating applications.


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