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Energy-based modeling and control for grid-side converter of doubly fed wind generator

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Abstract

To avoid dealing with the zero dynamics limitation brought by the bidirectional power flow through the back-to-back converter in a doubly fed wind generator, a new energy-based modeling and control approach for the grid-side converter is presented. During the modeling process, the grid-side converter is divided into two subsystems with the feedback interconnection structure, and the interactive matrix of the model takes into account the concrete port structure. Then, an energy-based controller is proposed to realize the grid-side control objectives based on the new model. Simulation studies are carried out in MATLAB/Simulink. Comparative results between the proportional-integral controller and the energy-based controller show that the latter one can obtain faster convergence rate and global stability as the load current varies. Moreover, the energy-based controller is also competent for grid-side control when simulated in a 2 MW wind energy conversion system with random wind.

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Authors and Affiliations

  1. School of Information Science and Engineering, Harbin Institute of Technology at Weihai, Weihai Shandong, 264209, China

    Huihui Song & Yanbin Qu

Authors
  1. Huihui Song
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  2. Yanbin Qu
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Correspondence to Huihui Song.

Additional information

This work was supported by the National Natural Science Foundation of China (No. 61074086), and the Fundamental Research Funds for the Central Universities (No. HIT. NSRIF. 2009145).

Huihui SONG was born in Heilongjiang, China, in 1983. She received her B.S. degree and M.S. degree from Harbin Normal University, China, in 2004 and 2007, respectively. She is currently working toward the Ph.D. degree at the Department of Electrical Engineering and Automation, Harbin Institute of Technology University, China. Her current research interests include nonlinear control theory and control technology in renewable energy.

Yanbin QU was born in 1961. He received his B.E., M.E., and Ph.D. degree in electrical engineering from Harbin Institute of Technology University, China. He is currently a professor and a doctoral supervisor of the Department of Electrical Engineering and Automation, Harbin Institute of Technology University. His background areas are control theory application, power electronics and electric drives; and his main current research areas are renewable energy and system control engineering.

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Song, H., Qu, Y. Energy-based modeling and control for grid-side converter of doubly fed wind generator. J. Control Theory Appl. 10, 435–440 (2012). https://doi.org/10.1007/s11768-012-1052-4

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  • DOI: https://doi.org/10.1007/s11768-012-1052-4

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