Abstract
The paper presents a nonlinear approach, using a two-mass model and a wind speed estimator, for variable-speed wind turbine (WT) control. The use of a two-mass model is motivated by the need to deal with flexible modes induced by the low-speed shaft stiffness. The main objective of the proposed controllers is the wind power capture optimization while limiting transient loads on the drive-train components. This paper starts by an adaptation of some existing control strategies. However, their performance are weak, as the dynamics aspects of the wind and aeroturbine are not taken into consideration. In order to bring some improvements, nonlinear static and dynamic state feedback controllers, with a wind speed estimator, are then proposed. Concerning the wind speed estimator, the idea behind this is to exploit the WT dynamics by itself as a measurement device. All these methods have been first tested and validated using an aeroelastic WT simulator. A comparative study between the proposed controllers is performed. The results show better performance for the nonlinear dynamic controller with estimator in comparison with the adapted existing methods.
Highlights
W IND power production knows since two decades a serious interest recovery
It was shown that the control strategy has a major impact on the wind turbine (WT) behavior and on the loads transmitted to the network [4], and that whatever the kind of WT, the control system remains a key factor [5]
The power electronics consists of a back-to-back pulsewidth modulation (PWM) converter
Summary
W IND power production knows since two decades a serious interest recovery. This requires the development of efficient production tools [1], [2]. The VSWTs have many advantages compared to former fixed-speed WT. The main one remains in their annual production, which exceeds by 5% to 10% fixed speed ones [3]. The effects of wind power fluctuations can be attenuated using this kind of turbines. It was shown that the control strategy has a major impact on the WT behavior and on the loads transmitted to the network [4], and that whatever the kind of WT, the control system remains a key factor [5]
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