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弱电网下计及背景谐波的多并网逆变器阻抗重塑谐振抑制方法

陈林 徐永海 王天泽 陈宗汉 孙曙光

电力系统保护与控制2024,Vol.52Issue(1):59-72,14.
电力系统保护与控制2024,Vol.52Issue(1):59-72,14.DOI:10.19783/j.cnki.pspc.230822

弱电网下计及背景谐波的多并网逆变器阻抗重塑谐振抑制方法

Resonance suppression method for multiple grid-connected inverters with impedance remodeling with background harmonics in a weak power grid

陈林 1徐永海 1王天泽 1陈宗汉 1孙曙光1

作者信息

  • 1. 华北电力大学电气与电子工程学院,北京 102206
  • 折叠

摘要

Abstract

The resonance problem of multi-inverter grid-connected systems in weak grids has been widely discussed.When the background harmonics are taken into account,the grid voltage feed-forward link of the inverter introduces a positive feedback path,which will further deteriorate the power quality of the system.Thus a resonance suppression method for impedance reshaping of multi-grid-connected inverters with background harmonics accounted for in a weak grid is proposed.By dividing the control links of inverters into conductors,a triple-decomposition conductor-based equivalent model of the multi-inverter grid-connected system is established.The resonance characteristics of the system are obtained using the modal analysis method for the variation of the number of inverters and the grid-side impedance.Taking into account the grid voltage feed-forward and capacitor current feedback links,the weighted average current control is improved and impedance remodeling of the inverters is performed by connecting virtual conductors in parallel at the point of common coupling to achieve suppression of the system resonance in a weak grid.Simulation results show that the proposed method can both greatly reduce the influence of background harmonics on the inverter output current and effectively suppress the resonance of the multi-inverter grid-connected system in a weak grid.

关键词

弱电网/背景谐波/分解导纳模型/多逆变器谐振/模态分析/阻抗重塑

Key words

weak power grid/background harmonic/decomposition conductivity model/multi-inverter resonance/modal analysis/impedance remodeling

引用本文复制引用

陈林,徐永海,王天泽,陈宗汉,孙曙光..弱电网下计及背景谐波的多并网逆变器阻抗重塑谐振抑制方法[J].电力系统保护与控制,2024,52(1):59-72,14.

基金项目

国家重点研发计划项目资助(2021YFB2601403) This work is supported by the National Key Research and Development Program of China(No.2021YFB2601403). (2021YFB2601403)

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