Variable parameter nonlinear control for maximum power point tracking considering mitigation of drive-train load
Author(s) -
Zaiyu Chen,
Minghui Yin,
Lianjun Zhou,
Yaping Xia,
Jiankun Liu,
Yun Zou
Publication year - 2017
Publication title -
ieee/caa journal of automatica sinica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.277
H-Index - 41
eISSN - 2329-9274
pISSN - 2329-9266
DOI - 10.1109/jas.2017.7510520
Subject(s) - computing and processing , communication, networking and broadcast technologies , general topics for engineers , robotics and control systems
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 U+0028 MPPT U+0029 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 U+0028 Fatigue, Aerodynamics, Structures, and Turbulence U+0029 code and experiments on the wind turbine simulator U+0028 WTS U+0029 based test bench are presented to verify the efficiency improvement of the proposed control strategy with less cost of drive-train load.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom