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文章摘要
基于降阶模型的光伏发电系统振荡模式分析
Analysis of oscillation modes based on reduced model of photovoltaic system
Received:January 27, 2019  Revised:January 27, 2019
DOI:10.19753/j.issn1001-1390.2020.13.011
中文关键词: 光伏发电系统  奇异摄动理论  多时间尺度降阶  次同步振荡  低频振荡  特征值分析
英文关键词: photovoltaic  system, singular  perturbation reduction, multi-time  scale order  reduction, subsynchronous  oscillation, low  frequency oscillation, eigenvalue  analysis
基金项目:
Author NameAffiliationE-mail
Li Yonggang Department of Electrical and Electronic Engineering,North China Electric Power University,Baoding lygzxm0@163.com 
Yan Feng Department of Electrical and Electronic Engineering,North China Electric Power University,Baoding yanfeng_ncepu@163.com 
Zhou Yichen* Department of Electrical and Electronic Engineering,North China Electric Power University,Baoding zhou.yi.chen.1990@163.com 
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中文摘要:
      光伏发电的大量接入会改变电力系统的阻尼特性,使振荡更易发生。为了更简单有效地研究光伏系统振荡问题,综合考虑主电路及控制策略建立了光伏发电系统的小信号模型。通过忽略快动态因子对系统模型依次降阶得到四种降阶模型。利用特征值分析得到系统振荡模式及其对状态变量的敏感度,对比发现模型阶数越低,越利于仿真计算但能够保留的振荡模式越少。在分析各影响因素对振荡模态的影响时,根据参与因子和降阶模型振荡模式的保留情况选择适当的降阶模型,并在MATLAB中验证了此方法的正确性。仿真结果表明,降阶模型能够正确反映光伏发电系统的振荡模式及各影响因素对振荡模式的影响,并且在简化分析过程、提高计算效率方面有着显著的优势。
英文摘要:
      The large number of photovoltaic power generation will change the damping characteristics of power system and make the oscillation easier to occur. In order to study this problem more simply and effectively, considering the main circuit and control strategy, a small signal model of photovoltaic system is established. The system model is reduced by ignoring the fast dynamic factors, and four reduced models are obtained. The oscillation modes and their sensitivity to state variables are obtained by eigenvalue analysis. It is found that the lower order of model, the simpler calculation, but the fewer the oscillation modes can be retained. When analyzing the influence of factors on oscillation modes, the appropriate reduced model is selected according to the participation factor and the reservation of oscillation modes in reduced models, and the correctness of this method is verified in MATLAB. The simulation results show that the proposed method can not only correctly reflect the oscillation modes of photovoltaic power generation system and the influence of each influence factor on the oscillation modes, but also have significant advantages in simplifying the analysis process and improving the calculation efficiency.
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