Parameter Identification of Doubly-Fed Induction Wind Turbine Based on the ISIAGWO Algorithm

Fanjie Yang, Yun Zeng (), Jing Qian, Youtao Li and Shihao Xie
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Fanjie Yang: School of Metallurgy and Energy Engineering, Kunming University of Science and Technology, Kunming 650093, China
Yun Zeng: School of Metallurgy and Energy Engineering, Kunming University of Science and Technology, Kunming 650093, China
Jing Qian: School of Metallurgy and Energy Engineering, Kunming University of Science and Technology, Kunming 650093, China
Youtao Li: School of Metallurgy and Energy Engineering, Kunming University of Science and Technology, Kunming 650093, China
Shihao Xie: School of Metallurgy and Energy Engineering, Kunming University of Science and Technology, Kunming 650093, China

Energies, 2023, vol. 16, issue 3, 1-19

Abstract: Variations in generator parameters that occur during the operation of a doubly-fed induction wind turbine (DFIG) constitute a significant factor in the degradation of control performance. To address the problem of difficulty in identifying multiple parameters simultaneously in DFIG, a parameter identification method depending on the adaptive grey wolf algorithm with an information-sharing search strategy (ISIAGWO) is proposed to solve the problem of low accuracy and slow identification speed of multiple parameters in DFIG. The easily obtainable generator outlet current was selected as the observed quantity, and the trajectory sensitivity analysis was performed on the five electrical parameters of the DFIG to derive its discriminability. Finally, the parameter recognition of the DFIG was carried out using the ISIAGWO algorithm in the MATLAB/Simulink simulation software, applying the proposed calculation functions. The experimental results show that the ISIAGWO algorithm has better identification accuracy, stability, and convergence for DFIG’s generator parameter identification.

Keywords: doubly-fed induction wind turbine; trajectory sensitivity; parameter identification; ISIAGWO algorithm (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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