风电系统改进T型逆变器并网优化模型预测控制

Translated title of the contribution: Predictive control of improved T-type inverter grid-connected optimization model in wind power system

Guoliang Yang*, Shuai Hao, Zi Yang, Chuntian Fu, Zhe Chen

*Corresponding author

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

A novel converter topological structure for directly drive wind power system is proposed in this paper,the topological structure grid-connected is consists of boost three level converter (Boost-TL converter)and improved T-type three-level inverters cascaded. The improved T type three level topology can significantly reduce the conduction loss in the zero state compared to the conventional T-type three-level structure. A simple and optimized switch state prediction control method based on space voltage vector is proposed,Which not only adds a delay compensation but also reduces the tedious computation of model predictive control. Simulation and experimental results show that the proposed topology based on the improved model predictive control algorithm can improve the robustness, dynamic response, operating range and stability of the system.

Translated title of the contributionPredictive control of improved T-type inverter grid-connected optimization model in wind power system
Original languageChinese (Traditional)
JournalTaiyangneng Xuebao/Acta Energiae Solaris Sinica
Volume41
Issue number6
Pages (from-to)53-60
Number of pages8
ISSN0254-0096
Publication statusPublished - 28 Jun 2020

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