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海上风电柔直并网系统多模态振荡交互分析和抑制方法

张智豪 寇鹏 田润泽 张远航 梅铭洋 黄阮明

电力系统自动化2026,Vol.50Issue(4):10-23,14.
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电力系统自动化2026,Vol.50Issue(4):10-23,14.DOI:10.7500/AEPS20250104003

海上风电柔直并网系统多模态振荡交互分析和抑制方法

Analysis and Suppression Method for Multi-modal Oscillation Interaction in Flexible DC Grid-connected System of Offshore Wind Power

张智豪 1寇鹏 1田润泽 1张远航 1梅铭洋 1黄阮明2

作者信息

  • 1. 电工材料电气绝缘全国重点实验室(西安交通大学),陕西省 西安市 710049||陕西省智能电网重点实验室(西安交通大学),陕西省 西安市 710049||西安交通大学电气工程学院,陕西省 西安市 710049
  • 2. 国网上海市电力公司,上海市 200233
  • 折叠

摘要

Abstract

In flexible DC grid-connected system of offshore wind power,there exists a possibility of simultaneous occurrence of medium-frequency oscillation(MFO)and sub-synchronous oscillation(SSO).At present,most of the related oscillation research work only focuses on the formation mechanism of single-frequency oscillations,making it difficult to reveal the interaction paths among different frequency oscillation modes when MFO and SSO appear simultaneously.Therefore,this paper focuses on the analysis of the interaction and suppression mechanism between MFO and SSO in the flexible DC grid-connected system of offshore wind power.Firstly,modal analysis method is utilized to investigate the possibility of the simultaneous occurrence of MFO and SSO in the flexible DC grid-connected system of offshore wind power.Subsequently,based on the dynamics of the grid-side inverter and its controller,the interaction path between MFO and SSO is analyzed to reveal the mechanism of secondary oscillation components generated by their combined action.Finally,oscillation suppression methods have been studied to achieve the effective suppression of MFO,SSO and secondary oscillations.

关键词

海上风电/风电并网系统/柔性直流/模态分析法/次同步振荡/中频振荡/次级振荡

Key words

offshore wind power/wind power grid-connected system/flexible DC/modal analysis method/sub-synchronous oscillation(SSO)/medium-frequency oscillation(MFO)/secondary oscillation

引用本文复制引用

张智豪,寇鹏,田润泽,张远航,梅铭洋,黄阮明..海上风电柔直并网系统多模态振荡交互分析和抑制方法[J].电力系统自动化,2026,50(4):10-23,14.

基金项目

智能电网重大专项(2030)资助项目(2024ZD0801300). This work is supported by Smart Grid-National Science and Technology Major Project(No.2024ZD0801300). (2030)

电力系统自动化

1000-1026

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