Maximum Power Point Tracking Control of Wind Energy Conversion Systems

  • Yong FengEmail author
  • Xinghuo Yu
Part of the Advances in Industrial Control book series (AIC)


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.


DFIG-based wind power system Voltage-oriented control (VOC) Grid-side PWM converter Sliding-mode control Terminal sliding mode 



Input power to the wind turbine


Wind turbine radius


Wind speed


Air density

\(P_m \)

Mechanical power


Power coefficient


Pitch angle


Tip speed ratio


Turbine angular speed

P, Q

Active and reactive power for the induction generator

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

Stator currents in d-q axes


Stator voltages in d-q axes


Inductor of the grid side filter


Resistance of the grid side filter


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


Angular frequency of the power source

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

Active power of AC and DC sides



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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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.Department of Electrical EngineeringHarbin Institute of TechnologyHarbinChina
  2. 2.School of Electrical and Computer EngineeringRMIT UniversityMelbourneAustralia

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