JUNCTION TEMPERATURE FLUCTUATION SUPPRESSION STRATEGY FOR POWER MODULE OF ROTOR-SIDE CONVERTER BASED ON MODEL PREDICTIVE CONTROL

Li Hui, Yang Tian, Hu Yu, Tan Hongtao, Zhou Zhiting, Zheng Jie

Acta Energiae Solaris Sinica ›› 2022, Vol. 43 ›› Issue (3) : 455-461.

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Acta Energiae Solaris Sinica ›› 2022, Vol. 43 ›› Issue (3) : 455-461. DOI: 10.19912/j.0254-0096.tynxb.2020-0498

JUNCTION TEMPERATURE FLUCTUATION SUPPRESSION STRATEGY FOR POWER MODULE OF ROTOR-SIDE CONVERTER BASED ON MODEL PREDICTIVE CONTROL

  • Li Hui1, Yang Tian1, Hu Yu1, Tan Hongtao1, Zhou Zhiting1, Zheng Jie1,2
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Abstract

When the doubly-fed wind turbine operates near the synchronous speed point, the low output frequency makes the power module of the rotor-side converter suffer from large junction temperature fluctuation, resulting in reduced reliability of the converter, In order to solve the problem, a junction temperature fluctuation suppression strategy, based on model predictive control(MPC), is proposed. Firstly, the power predictive control model is derived based on the voltage and flux equations of doubly-fed induction generator. Secondly, the objective function is deduced to achieve the maximum power point tracking (MPPT). Then, an electro-thermal simulation model of doubly-fed wind turbine based on MPC strategy is built. The dynamic and steady-state junction temperature fluctuations of the power module, during the reciprocating operation under sub-/and super-synchronous conditions, are analyzed in time domain analysis. Finally, the effectiveness of the proposed control strategy is verified by comparing with the existing suppression strategy of junction temperature fluctuation.

Key words

wind turbines / model predictive control / maximum power point tracking / time-domain analysis / power module of the rotor-side converter / junction temperature fluctuation suppression

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Li Hui, Yang Tian, Hu Yu, Tan Hongtao, Zhou Zhiting, Zheng Jie. JUNCTION TEMPERATURE FLUCTUATION SUPPRESSION STRATEGY FOR POWER MODULE OF ROTOR-SIDE CONVERTER BASED ON MODEL PREDICTIVE CONTROL[J]. Acta Energiae Solaris Sinica. 2022, 43(3): 455-461 https://doi.org/10.19912/j.0254-0096.tynxb.2020-0498

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