Abstract
In view of the grid voltage unbalance, wind power generation system (PGS) in the variable speed gearbox, torque ripple of serious harm, unit monitoring data timeliness is strong, large amount of data, so in the process of analysis, also need a unified analysis was carried out on the wind field data, the effective analysis method based on big data is a necessity. In this paper, a dual current loop control strategy based on the separation of positive and negative sequence (PNS) components is proposed to suppress the electromagnetic torque ripple. Vector control is performed on the rotor-side converter, that is, the positive sequence component of the rotor current is controlled in the positive sequence rotating coordinate system (CS) to achieve independent regulation of active power. The model of doubly-fed wind PGS is modeled, and the characteristics of the system, such as instantaneous APRP (APRP), are analyzed. The experimental results show that the control strategy can effectively restrain the electromagnetic torque ripple, and it has a good guiding significance for wind farms to obtain good grid-connected power generation performance.
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Acknowledgements
This work was supported by Scientific research fund of education department of liaoning province (LJKX201906).
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Wang, N., Wang, L. (2021). Voltage Unbalance Factors of Doubly-Fed Wind Generator Based on Big Data Analysis. In: Sugumaran, V., Xu, Z., Zhou, H. (eds) Application of Intelligent Systems in Multi-modal Information Analytics. MMIA 2020. Advances in Intelligent Systems and Computing, vol 1233. Springer, Cham. https://doi.org/10.1007/978-3-030-51431-0_95
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DOI: https://doi.org/10.1007/978-3-030-51431-0_95
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