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Wind Turbine Control and Monitoring pp 49–67Cite as

Maximum Power Point Tracking Control of Wind Energy Conversion Systems

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Part of the book series: Advances in Industrial Control ((AIC))

Abstract

This chapter studies the control problems in grid integration of wind energy conversion systems. Sliding-mode control technique will be used to optimize the control of wind energy conversion systems. The maximum power point tracking control algorithms for variable-speed wind energy conversion systems are presented. The grid integration of wind energy conversion systems can be optimized in terms of power delivered to the grid and providing the voltage support ancillary service at the point of common coupling. The control objective for the grid integration of wind energy conversion systems is to keep the DC-link voltage in a desirable value and the input or output power factors staying unitary. The high-order terminal sliding-mode voltage and current regulators are designed, respectively, to control the DC-link voltage and the current rapidly and exactly. The numerical simulations will be carried out to evaluate the control schemes.

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Abbreviations

\(P_w\) :

Input power to the wind turbine

\(r\) :

Wind turbine radius

\(v_w\) :

Wind speed

\(\rho\) :

Air density

\(P_m \) :

Mechanical power

\(C_p\) :

Power coefficient

\(\beta\) :

Pitch angle

\(\lambda\) :

Tip speed ratio

\(\omega_w\) :

Turbine angular speed

P, Q :

Active and reactive power for the induction generator

\(i_{ds}, i_{qs}\) :

Stator currents in d-q axes

\(u_{ds},u_{qs}\) :

Stator voltages in d-q axes

L :

Inductor of the grid side filter

R :

Resistance of the grid side filter

C :

DC-link capacitor

\(i_d, i_q\) :

d- and q-axis current components of the converter

\(s_d, s_q\) :

d- and q-axis switching control signals

\(e_d, e_q\) :

d- and q-axis voltage component of the three-phase supply

\(\omega\) :

Angular frequency of the power source

\(P_{ac}, P_{dc}\) :

Active power of AC and DC sides

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Acknowledgments

This work was supported in part by the National Natural Science Foundation of China (61074015), and also in part by ARC Linkage Project (LP100200538) of the Australian Research Council.

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Authors and Affiliations

  1. Department of Electrical Engineering, Harbin Institute of Technology, Harbin, 150001, China

    Yong Feng

  2. School of Electrical and Computer Engineering, RMIT University, Melbourne, VIC, 3001, Australia

    Yong Feng & Xinghuo Yu

Authors
  1. Yong Feng
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  2. Xinghuo Yu
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Corresponding author

Correspondence to Yong Feng .

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Editors and Affiliations

  1. University of Girona, Girona, Spain

    Ningsu Luo

  2. Polytechnic University of Catalonia, Barcelona, Spain

    Yolanda Vidal

  3. Polytechnic University of Catalonia, Barcelona, Spain

    Leonardo Acho

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Feng, Y., Yu, X. (2014). Maximum Power Point Tracking Control of Wind Energy Conversion Systems. In: Luo, N., Vidal, Y., Acho, L. (eds) Wind Turbine Control and Monitoring. Advances in Industrial Control. Springer, Cham. https://doi.org/10.1007/978-3-319-08413-8_3

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  • DOI: https://doi.org/10.1007/978-3-319-08413-8_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-08412-1

  • Online ISBN: 978-3-319-08413-8

  • eBook Packages: EnergyEnergy (R0)

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