Variable Parameter Nonlinear Control for Maximum Power Point Tracking Considering Mitigation of Drive-train Load

Zaiyu Chen; Minghui Yin; Lianjun Zhou; Yaping Xia; Jiankun Liu; Yun Zou

doi:10.1109/JAS.2017.7510520

Volume 4 Issue 2

Apr. 2017

IEEE/CAA Journal of Automatica Sinica

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Article Navigation > IEEE/CAA Journal of Automatica Sinica > 2017 > 4(2): 252-259

Zaiyu Chen, Minghui Yin, Lianjun Zhou, Yaping Xia, Jiankun Liu and Yun Zou, "Variable Parameter Nonlinear Control for Maximum Power Point Tracking Considering Mitigation of Drive-train Load," IEEE/CAA J. Autom. Sinica, vol. 4, no. 2, pp. 252-259, Apr. 2017. doi: 10.1109/JAS.2017.7510520

Citation:

Zaiyu Chen, Minghui Yin, Lianjun Zhou, Yaping Xia, Jiankun Liu and Yun Zou, "Variable Parameter Nonlinear Control for Maximum Power Point Tracking Considering Mitigation of Drive-train Load," IEEE/CAA J. Autom. Sinica, vol. 4, no. 2, pp. 252-259, Apr. 2017. doi: 10.1109/JAS.2017.7510520

Citation:

Zaiyu Chen, Minghui Yin, Lianjun Zhou, Yaping Xia, Jiankun Liu and Yun Zou, "Variable Parameter Nonlinear Control for Maximum Power Point Tracking Considering Mitigation of Drive-train Load," IEEE/CAA J. Autom. Sinica, vol. 4, no. 2, pp. 252-259, Apr. 2017. doi: 10.1109/JAS.2017.7510520

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Variable Parameter Nonlinear Control for Maximum Power Point Tracking Considering Mitigation of Drive-train Load

doi: 10.1109/JAS.2017.7510520

Zaiyu Chen^1
,,
Minghui Yin^{1
,
,},
Lianjun Zhou^1
,,
Yaping Xia^1
,,
Jiankun Liu^2
,,
Yun Zou^1
,

1.
School of Automation, Nanjing University of Science and Technology, Nanjing, Jiangsu 210094, China
2.
Department of Power Network, Jiangsu Electric Power Company Research Institute, Nanjing, Jiangsu 211103, China

Funds:

the National Natural Science Foundation of China 61203129

the National Natural Science Foundation of China 61174038

the National Natural Science Foundation of China 61473151

the National Natural Science Foundation of China 51507080

the Fundamental Research Funds for the Central Universities 30915011104

the Fundamental Research Funds for the Central Universities 30920130121010

the Fundamental Research Funds for the Central Universities 30920140112005

More Information

Author Bio:
Zaiyu Chen is a Ph.D. candidate at the School of Automation, Nanjing University of Science and Technology. He received his bachelor degree from Nanjing University of Science and Technology in 2012. His main research interest is the control of wind turbines.(e-mail: chenzaiyu1989@gmail.com)

Lianjun Zhou is a Ph.D. candidate at the School of Automation, Nanjing University of Science and Technology. He received his bachelor degree from Nanjing University of Science and Technology in 2009. His research interests include wind power conversion system and smart grid.(e-mail: lspj324@163.com)

Yaping Xia is a Ph.D. candidate at the School of Automation, Nanjing University of Science and Technology. She received her bachelor degree from Nanjing University of Science and Technology in 2011. Her research interests include control theory and application, wind power conversion system.(e-mail: ping yaxia@163.com)

Jiankun Liu is a senior engineer in the Department of Power Network, Jiangsu Electric Power Company Research Institute. He received his M. Eng. degree from Xiâ€™an Jiaotong University in 2004. His research interests include power system analysis and computation.(e-mail: jiankun-liu@163.com)

Yun Zou is a professor at the School of Automation, Nanjing University of Science and Technology. He received the Ph.D. degree in control theory and control engineering from Nanjing University of Science and Technology in 1990. His research interests include differential-algebraic equation systems, twodimensional systems, singular perturbations, transient stability of power systems, and power market.(e-mail: zouyun@vip.163.com)
Corresponding author: Minghui Yin is a associate professor at the School of Automation, Nanjing University of Science and Technology. He received his Ph.D. degree in automatic control engineering from Nanjing University of Science and Technology in 2009. From 2007 to 2008, he worked as a research assistant in the Department of Electrical Engineering, The Hong Kong Polytechnic University, Hong Kong, China. His research interests include wind power conversion system and transient stability of power systems. Corresponding author of this paper.(e-mail: ymhui@vip.163.com)
Received Date: 2015-10-30
Accepted Date: 2016-04-01

Abstract

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.
- Drive-train load,
- maximum power point tracking (MPPT),
- nonlinear control,
- wind turbines (WT)

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References(26)

References

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Variable Parameter Nonlinear Control for Maximum Power Point Tracking Considering Mitigation of Drive-train Load

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