基于双矢量模型预测直接功率控制的双馈电机并网及发电

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Abstract The model predictive direct power control (MPDPC) is attracting wide attentions in the control of grid-connected converters due to the merits of simple principle,fast response,and flexible control aims.It uses the system model to predict the future value of active/reactive power and obtains the best voltage vector minimizing the power errors by enumeration.Compared to the conventional switching table based direct power control (DPC),MDPPC features better steady and dynamic performance.To further improve the steady state performance and reduce the sampling frequency,this paper proposes a two-vectors-based MPDPC by allocating one non-zero vector and one null vector during one control period.The power ripples are significantly reduced by optimizing the duration of the non-zero vector.Lower switching frequency with better steady state performance can be obtained by arranging the vector sequence in a more reasonable way.Simulation results from a 15 kW doubly fed induction generator (DFIG) system indicate that,compared to the conventional MPDPC,the proposed two-vectors-based MPDPC,with low sampling frequency,can achieve fast and smooth grid synchronization,flexible regulation of active/reactive power,and lower switching frequency.Hence,it is very practical for real applications.

Key words： Doubly fed induction generator grid synchronization power generation model predictive direct power control two vectors

Received: 24 September 2014 Published: 16 March 2016

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TM614

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	Zhang Hu
	Zhang Yongchang
	Yang Dawei

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Zhang Hu,Zhang Yongchang,Yang Dawei. Two-Vectors-Based Model Predictive Direct Power Control of Doubly Fed Induction Generator for Grid Connection and Power Regulation[J]. Transactions of China Electrotechnical Society, 2016, 31(5): 69-76.

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https://dgjsxb.ces-transaction.com/EN/ OR https://dgjsxb.ces-transaction.com/EN/Y2016/V31/I5/69

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