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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.

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Correspondence to Cuong Nguyen Cong .

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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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