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WAINA 2020: Web, Artificial Intelligence and Network Applications pp 1250–1260Cite as

Design of Optimal PI Controllers Using the Chemical Reaction Optimization Algorithm for Indirect Power Control of a DFIG Model with MPPT

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Part of the Advances in Intelligent Systems and Computing book series (AISC,volume 1150)

Abstract

In this paper, a method that uses a chemical reaction optimization algorithm is presented to determine optimal PI controller parameters for the indirect control of the active and reactive power of a doubly fed induction generator to ensure maximum power point tracking for a wind energy conversion system. The proposed control algorithm is applied to a doubly fed induction generator whose stators are directly connected to the grid; the rotor is connected to a pulse-width modulation converter. To extract the maximum power, the rotor-side converter is controlled by using a flux-oriented strategy for the stator. The simulation results show that a proportional integral controller designed with chemical reaction optimization yields better results than the traditional method in terms of the performance index.

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  • DOI: 10.1007/978-3-030-44038-1_114
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Acknowledgments

The authors gratefully acknowledge the support of the Hanoi University of Industry for their funding.

Author information

Authors and Affiliations

  1. Hanoi University of Industry, Hanoi, Vietnam

    Cuong Nguyen Cong, Ricardo Rodriguez-Jorge, Nghien Nguyen Ba & Chuong Trinh Trong

  2. Hanoi University of Mining and Geology, Hanoi, Vietnam

    Ricardo Rodriguez-Jorge & Nghia Nguyen Anh

Authors
  1. Cuong Nguyen Cong
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  2. Ricardo Rodriguez-Jorge
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  3. Nghien Nguyen Ba
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  4. Chuong Trinh Trong
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  5. Nghia Nguyen Anh
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Corresponding author

Correspondence to Cuong Nguyen Cong .

Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Prof. Dr. Leonard Barolli

  2. Department of Electrical Engineering and Information Technology, University of Naples “Frederico II”, Naples, Italy

    Prof. Dr. Flora Amato

  3. Department of Political Science, University of Campania Luigi Vanvitelli, Caserta, Italy

    Dr. Francesco Moscato

  4. Faculty of Business Administration, Rissho University, Tokyo, Japan

    Prof. Dr. Tomoya Enokido

  5. Department of Advanced Sciences, Hosei University, Tokyo, Japan

    Prof. Dr. Makoto Takizawa

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Cong, C.N., Rodriguez-Jorge, R., Ba, N.N., Trong, C.T., Anh, N.N. (2020). Design of Optimal PI Controllers Using the Chemical Reaction Optimization Algorithm for Indirect Power Control of a DFIG Model with MPPT. In: Barolli, L., Amato, F., Moscato, F., Enokido, T., Takizawa, M. (eds) Web, Artificial Intelligence and Network Applications. WAINA 2020. Advances in Intelligent Systems and Computing, vol 1150. Springer, Cham. https://doi.org/10.1007/978-3-030-44038-1_114

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