基于变风况阻抗优化重塑的双馈风电机组SSO抑制策略

刘其辉, 田若菡, 史淳, 宁文元

太阳能学报 ›› 2023, Vol. 44 ›› Issue (5) : 349-359.

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太阳能学报 ›› 2023, Vol. 44 ›› Issue (5) : 349-359. DOI: 10.19912/j.0254-0096.tynxb.2021-1579

基于变风况阻抗优化重塑的双馈风电机组SSO抑制策略

  • 刘其辉1, 田若菡1, 史淳2, 宁文元3
作者信息 +

SSO MITIGATION OF WIND TURBINE USING DFIG BASED ON IMPEDANCE OPTIMIZATION RESHAPING UNDER VARIABLE WIND CONDITIONS

  • Liu Qihui1, Tian Ruohan1, Shi Chun2, Ning Wenyuan3
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文章历史 +

摘要

针对双馈风电机组经串补电容并网产生的SSO问题,提出一种基于变风况阻抗优化重塑的次同步振荡(SSO)抑制策略。建立abc坐标系下双馈风电机组频域阻抗模型,并基于聚合阻抗稳定判据,采用变风况下穿越灵敏度分析方法筛选出诱发及影响SSO的关键因素。考虑到风况和其他因素对机组稳定性特性的影响,提出基于阻抗重塑的SSO抑制策略。通过优化算法选择抑制策略中的参数值,形成“离线制表,实时调参”的参数优化拟合方案,使得在不同风况下均对SSO达到较好的抑制效果,并通过时域仿真验证了该文所提出的抑制策略的有效性。

Abstract

Aiming at the SSO problem caused by the grid-connected series-compensated capacitors of doubly-fed wind turbines, a SSO suppression strategy based on optimal reshaping of variable wind condition impedance was proposed. The frequency domain impedance model of the DFIG in the abc coordinate system is established, and based on the aggregated RLC stability criterion, the key factors that induce and affect the SSO are screened out by the through sensitivity analysis method under variable wind conditions. Considering the influence of wind conditions and other factors on the stability characteristics of the unit, this paper proposes a SSO suppression strategy based on impedance reshaping. The parameter values in the suppression strategy are selected by the optimization algorithm, and the parameter optimization fitting scheme of "offline tabulation and real-time parameter adjustment" is formed, so that the SSO can achieve better suppression effect under different wind conditions, and it is verified by time domain simulation The effectiveness of the suppression strategy proposed in this paper.

关键词

双馈风电机组 / 风力发电 / 次同步振荡 / 灵敏度分析 / 阻抗重塑 / 变风况

Key words

doubly-fed wind power generator / wind power / sub-synchronous oscillation / sensitivity analysis / impedance reshaping / variable wind conditions

引用本文

导出引用
刘其辉, 田若菡, 史淳, 宁文元. 基于变风况阻抗优化重塑的双馈风电机组SSO抑制策略[J]. 太阳能学报. 2023, 44(5): 349-359 https://doi.org/10.19912/j.0254-0096.tynxb.2021-1579
Liu Qihui, Tian Ruohan, Shi Chun, Ning Wenyuan. SSO MITIGATION OF WIND TURBINE USING DFIG BASED ON IMPEDANCE OPTIMIZATION RESHAPING UNDER VARIABLE WIND CONDITIONS[J]. Acta Energiae Solaris Sinica. 2023, 44(5): 349-359 https://doi.org/10.19912/j.0254-0096.tynxb.2021-1579
中图分类号: TK513.5   

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基金

国家重点研发计划(2018YFB0904000); 国家电网有限公司总部管理科技项目(5100-202199543A-0-5-ZN)

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