Model Predictive Control of Grid-connected Converter Based on Virtual Synchronous Machine
ID:128 View Protection:ATTENDEE Updated Time:2020-11-11 12:09:43 Hits:276 Poster Presentation

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Abstract
With the increase of distributed power generation integrated into the power grid through power electronic converters, the problem of inertia reduction in power system has been caused, a new control technology is needed to enable distributed power sources to actively participate in the voltage and frequency regulation of the grid. In this paper, a model predictive control (MPC) strategy based on virtual synchronous machine (VSM) for the grid-connected converter is proposed. The method does not require traditional pulse width modulation and current inner loop control. When the voltage and frequency of power grid change, the active power and reactive power can respond in time and simulate characteristics of traditional synchronous machine. The simulation results are given to verify the effectiveness of the control strategy presented above.
Keywords
virtual synchronous machine,traditional synchronous machine,inertia reduction,model predictive control
Speaker
Nan Jin
Zhengzhou University of Light Industry

Submission Author
Yanyan Li Zhengzhou University of Light Industry
Guohao Li Zhengzhou University of Light Industry
Qiang Li State Key Laboratory of Power Transmission Equipment & System Security and New Technology,Chongqing University,State Grid Hennan Electric Power Research Institute
Nan Jin Zhengzhou University of Light Industry
Shiyang Hu Hunan University
Leilei Guo Zhengzhou University of Light Industry
Jianshan Liu Suoling Electric Co., Ltd
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Important Date
  • Conference Date

    Oct 21

    2019

    to

    Oct 24

    2019

  • Oct 13 2019

    Abstract Notification of Acceptance

  • Oct 13 2019

    Draft paper submission deadline

  • Oct 14 2019

    Draft Paper Acceptance Notification

  • Oct 24 2019

    Registration deadline

  • Oct 29 2019

    Final Paper Deadline

Organized By
Xi'an Jiaotong University
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