标题:Robust Predictive Control of Grid-Side Power Converters for PMSG Wind Turbine Systems with Stability Analysis
作者:Wang, Yongdu; Zhang, Zhenbin; Garcia, Cristian; Rodriguez, Jose; Kennel, Ralph
作者机构:[Wang, Yongdu; Zhang, Zhenbin] Shandong Univ, Sch Elect Engn, Jinan 250061, Peoples R China.; [Zhang, Zhenbin] Shandong Univ, Suzhou Inst, Suzhou 21 更多
会议名称:IEEE International Conference on Industrial Technology (ICIT)
会议日期:FEB 26-28, 2020
来源:2020 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL TECHNOLOGY (ICIT)
出版年:2020
页码:763-768
关键词:Three-level neutral-point-clamped converter; finite control set model; predictive control; robust control; stability derivation; FPGA
摘要:Renewable energy plays an increasingly significant role in the power generation process. Wind energy, in particular, has brilliant prospects, especially high-power wind energy. The three-level neutral-point-clamped (3L-NPC) converter for power transformed into the grid has proven to be a promising and effective configuration. For this topology, finite control set model predictive control (FCS-MPC) is an effective control option. However, the performance of FCS-MPC, like most model based control schemes, will deteriorate when system parameter (in particular, the inductance of grid side filters) varies. In this work, we propose a robust FCS-MPC scheme with revised predictions. This proposed robust FCS-MPC outperforms the classic scheme at both normal and parameter mismatched conditions, which has been validated experimentally for such systems with a fully FPGA based real-time hardware. Besides, the proposed method enlarges the range of the stability of the control method. The stability of the proposed scheme is derived theoretically and proven to be better in comparison with classic FCS-MPC.
收录类别:CPCI-S
资源类型:会议论文
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