830 / 2019-04-29 21:00:05
High-Order Sliding Mode Control of Modular Multilevel Matrix Converter in Fractional Frequency Offshore Wind Power System
Modular multilevel matrix converter,fractional frequency offshore wind power system,sliding mode control,nonlinear control
全文录用
Xixi Pan / State Key Laboratory of Electrical Insulation and Power Equipment and Shaanxi Key Laboratory of Smar
Yongqing Meng / Shaanxi Key Laboratory of Smart Grid and Xi’an Jiaotong University
Sijia Li / Shaanxi Key Laboratory of Smart Grid and Xi’an Jiaotong University
Jianyang Yu / Shaanxi Key Laboratory of Smart Grid and Xi’an Jiaotong University
Guohua Fang / Shaanxi Key Laboratory of Smart Grid and Xi’an Jiaotong University
Mengyao Zhang / Economic Technology Research Institute State Grid Shanghai Municipal Electric Power Company
Ruanming Huang / Economic Technology Research Institute State Grid Shanghai Municipal Electric Power Company
The Modular Multilevel Matrix Converter (M3C) is a high-power high-voltage direct AC/AC power converter topology which is suitable for low frequency power transmission and distribution systems, such as offshore wind power integration, long-distance FFTS and subsea electric system. But it has obvious non-linear characteristics, complex system structure, high model order and complex control task. Based on the analysis of vector control, this paper proposes a high-order sliding mode control (SMC) strategy combining linear sliding mode with non-singular terminal sliding mode to control a high-order nonlinear system. According to the simulation results of the output waveform quality and power characteristics, the M3C has a better performance under SMC than PI control. The control strategy proposed in this paper can quickly and simply control high-order nonlinear strongly coupled systems, which provides ideas for the stability control of power systems.
重要日期
  • 会议日期

    10月21日

    2019

    10月24日

    2019

  • 10月13日 2019

    摘要录用通知日期

  • 10月13日 2019

    初稿截稿日期

  • 10月14日 2019

    初稿录用通知日期

  • 10月24日 2019

    注册截止日期

  • 10月29日 2019

    终稿截稿日期

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