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Unknown Resonance Frequency Detection by Particle Swarm Optimization for Active Damper
编号：117 访问权限：仅限参会人 更新：2022-11-02 17:39:24 浏览：289次 口头报告

报告开始：2022年11月04日 09:30（Asia/Shanghai）

报告时间：20min

所在会场：[E] Power Electronics Technology and Application [OS2] Oral Session 2

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摘要
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.

 
关键词
Grid-connected inverter system (GCIS), active damper, detection of resonance frequency, PSO-SOGI.
报告人
Han Yang
Huazhong University of Science and Technology

稿件作者
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
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重要日期

  • 会议日期

    11月03日

    2022

    至

    11月05日

    2022

  • 08月01日 2022

    初稿截稿日期

  • 11月04日 2022

    注册截止日期

  • 11月05日 2022

    报告提交截止日期

主办单位
Huazhong University of Science and Technology
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