70 / 2022-06-29 18:28:26
Unknown Resonance Frequency Detection by Particle Swarm Optimization for Active Damper
Grid-connected inverter system (GCIS), active damper, detection of resonance frequency, PSO-SOGI.
Final Paper
Han Yang / Huazhong University of Science and Technology
Ke Dai / Huazhong University of Science and Technology
Bingyuan Yang / Huazhong University of Science and Technology
Hui Luo / Huazhong University of Science and Technology
Kuan He / Huazhong University of Science and Technology
Ziheng Xu / Huazhong University of Science and Technology
Abstract – Grid-connected inverter system (GCIS) may generate resonance when inverter is connected to the weak grid. The output impedance of inverter is coupled with the inductance of the weak grid, and the damping of system is reduced. Active damper is a power-electronic apparatus which can damp resonance of GCIS. It can be seen as a virtual resistor to enhance system damping and mainly works around the resonance frequency. The detection of resonance frequency is a very important link for active damper. However, how to quickly and accurately detect the resonance frequency in real time is still not fully resolved. To alleviate this problem, this paper proposes a new structure called PSO-SOGI. This structure transforms the detection of resonance frequency into an optimization problem by means of Particle Swarm Optimization (PSO) algorithm and second-order generalized integrator (SOGI). Simulations on a 66kVA grid-connected inverter and the 10kVA active damper are carried out in MATLAB/SIMULINK. The results have verified the rapidness and accuracy of PSO-SOGI in detecting resonance frequency. In addition, the effectiveness of active damper based on PSO-SOGI in damping resonance has also been verified.



 
Important Date
  • Conference Date

    Nov 03

    2022

    to

    Nov 05

    2022

  • Aug 01 2022

    Draft paper submission deadline

  • Nov 04 2022

    Registration deadline

  • Nov 05 2022

    Contribution Submission Deadline

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Huazhong University of Science and Technology
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