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Variable Parameter Nonlinear Control for Maximum Power Point Tracking Considering Mitigation of Drive-train Load
Authors:Zaiyu Chen  Minghui Yin  Lianjun Zhou  Yaping Xia  Jiankun Liu  Yun Zou
Affiliation:1.School of Automation, Nanjing University of Science and Technology, Nanjing, Jiangsu 210094, China2.Department of Power Network, Jiangsu Electric Power Company Research Institute, Nanjing, Jiangsu 211103, China
Abstract:Since mechanical loads exert a significant influence on the life span of wind turbines, the reduction of transient load on drive-train shaft has received more attention when implementing a maximum power point tracking (MPPT) controller. Moreover, a trade-off between the efficiency of wind energy extraction and the load level of drive-train shaft becomes a key issue. However, for the existing control strategies based on nonlinear model of wind turbines, the MPPT efficiencies are improved at the cost of the intensive fluctuation of generator torque and significant increase of transient load on drive train shaft. Hence, in this paper, a nonlinear controller with variable parameter is proposed for improving MPPT efficiency and mitigating transient load on drive-train simultaneously. Then, simulations on FAST (Fatigue, Aerodynamics, Structures, and Turbulence) code and experiments on the wind turbine simulator (WTS) based test bench are presented to verify the efficiency improvement of the proposed control strategy with less cost of drive-train load. 
Keywords:Drive-train load  maximum power point tracking (MPPT)  nonlinear control  wind turbines (WT)
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