无刷双馈独立发电系统的改进无参数预测电流控制

doi:10.19595/j.cnki.1000-6753.tces.200749

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Abstract As a new type of AC induction machine, the brushless doubly fed induction generator (BDFIG) can be used for grid-connected and standalone power generation. Model predictive current control (PMCC) has attracted much attention due to its intuitive concept and fast dynamic response. However, due to its heavy dependence on the model parameters, the practical application of MPCC in the BDFIG is not satisfactory. In order to overcome this problem, this paper proposes an improved nonparametric predictive current control (NPCC) method, which uses the detected machine information instead of system parameters to predict the current change. Simulation and experimental results show that this method not only keeps the fast dynamic response performance of MPCC, but also is not affected by the change of machine parameters, which means that it is with strong robustness.

Key words： Brushless doubly-fed induction generator (BDFIG) nonparametric predictive current control (NPCC) standalone power generation parameter robustness

Received: 30 June 2020

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TM346

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	Xu Wei
	Chen Junjie
	Liu Yi
	Huang Shoudao
	Gao Jian
	Huang Cheng

Cite this article:

Xu Wei,Chen Junjie,Liu Yi等. Improved Nonparametric Predictive Current Control for Standalone Brushless Doubly-Fed Induction Generators[J]. Transactions of China Electrotechnical Society, 2021, 36(19): 4002-4015.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.200749 OR https://dgjsxb.ces-transaction.com/EN/Y2021/V36/I19/4002

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