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Research Papers

Maximizing Wind Energy Capture for Speed-Constrained Wind Turbines During Partial Load Operation

[+] Author and Article Information
Zeyu Yan, Victor Yu, Matthew Chu Cheong

Department of Mechanical Engineering,
University of Texas at Austin,
Austin, TX 78712

Mohamed L. Shaltout

Mechanical Design and Production Department,
Faculty of Engineering,
Cairo University,
Giza 12613, Egypt

Dongmei Chen

Department of Mechanical Engineering,
University of Texas at Austin,
Austin, TX 78712
e-mail: dmchen@me.utexas.edu

1Corresponding author.

Contributed by the Dynamic Systems Division of ASME for publication in the JOURNAL OF DYNAMIC SYSTEMS, MEASUREMENT, AND CONTROL. Manuscript received June 9, 2014; final manuscript received June 11, 2016; published online July 21, 2016. Assoc. Editor: Yongchun Fang.

J. Dyn. Sys., Meas., Control 138(9), 091014 (Jul 21, 2016) (8 pages) Paper No: DS-14-1249; doi: 10.1115/1.4033906 History: Received June 09, 2014; Revised June 11, 2016

With the development of wind turbine technology, more wind turbines operate in the partial load region, where one of the main objectives is to maximize captured wind energy. This paper presents the development of an optimal control framework to maximize wind energy capture for wind turbines with limited rotor speed ranges. Numerical optimal control (NOC) techniques were applied to search for the achievable maximum power coefficient, thus maximum wind energy capture. Augmentations of these optimal techniques significantly reduced the computational cost. Simulation results show that, in comparison with the traditional torque feedback and conventional optimal control algorithms, the proposed augmented optimal control algorithm increases the harvested energy while minimizing the computational expense for speed-constrained wind turbines during partial load operation.

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References

Figures

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Fig. 1

Plot of the aerodynamic power coefficient versus the rotor tip speed ratio with different blade pitch angles

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Fig. 7

Comparison between Cp with and without uncertainty

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Fig. 3

Performance comparison of controllers including TFC, DS, conventional DP, and augmented DP (low wind speed)

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Fig. 4

Performance comparison among controllers including TFC, DS with a good initial guess, conventional DP, and augmented DP (low wind speed)

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Fig. 5

Performance comparison between NOC and TFC controllers (high wind speed)

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Fig. 6

Performance comparison between NOC and TFC controllers under continuous wind speed input

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