1186 / 2019-08-12 20:50:54
Optimal Control of MTDC for improving rotor angle stablity of AC system
Multi-terminal DC grid (MTDC),Rotor angle stability,Optimal based control,Voltage Source Converter (VSC)
全文录用
Weihuang Huang / State Key Laboratory of HVDC, Electric Power Research Institute
Xiaotian Yuan / Xi’an Jiaotong University
Hong Rao / State Key Laboratory of HVDC, Electric Power Research Institute
Yan Li / State Key Laboratory of HVDC, Electric Power Research Institute
Yujun Li / School of Electrical Engineering, Xi’an Jiaotong University,
Faxi Peng / State Key Laboratory of HVDC, Electric Power Research Institute
Rotor angle stability of meshed AC/DC system due to the decreased effective inertia with the high penetration of renewables has become a major challenge. An easy and feasible way to enhance the rotor stability of power system provided by Multi-terminal DC (MTDC) grid is to fast modulate the power reference of standard power sharing droop control of each converter based on the rotor speed deviations of the selected generators. However, this feedback based scheme does not consider the coordination of each converter, which cannot render an optimal solution for the stability issue of the system and cannot make full use of the connected converter capability. To overcome this, this paper proposes an optimal based control of MTDC grid for improving the rotor angle stability of power system. First, MTDC grid model is well established by the linearization of power flow equations of DC grid. Then AC/DC meshed system model with the power modulation control of DC grid is further established. Furthermore, the optimal based control of MTDC grid is deduced by the online minimization of the rotor angle deviations of generators and the control energy. Finally, the nonlinear numerical simulations of one simple three generators nine buses AC/DC meshed system have demonstrated the effectiveness of the proposed optimal based scheme in three phase fault and sudden load changes in AC system.
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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