| 引用本文: | 高 洁,李群湛,汪 佳,王 燕,周 阳.基于NExT-ERA与SSI-DATA环境激励下的低频振荡辨识方法比较[J].电力自动化设备,2016,36(1): |
| GAO Jie,LI Qunzhan,WANG Jia,WANG Yan,ZHOU Yang.Comparison of low-frequency oscillation identification between NExT-ERA and SSI-DATA ambient excitation methods[J].Electric Power Automation Equipment,2016,36(1): |
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| 摘要: |
| 随着广域测量系统的应用，采用环境激励下相量测量单元量测得到的类噪声信号进行低频振荡在线模态辨识具有很好的应用前景。针对NExT-ERA以及SSI-DATA 2种环境激励下的低频振荡辨识方法进行性能评估。简要回顾2种算法的基本原理；基于算法中关键参数以及仿真条件设置不同的评估标准，通过仿真算例的模态参数辨识对2种算法的性能进行分析比较；对2种算法各自的优点和适用性进行评估与总结。 |
| 关键词: 低频振荡 环境激励 在线模态辨识 自然激励技术 特征系统实现算法 随机子空间算法 |
| DOI： |
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| 基金项目:国家自然科学基金重点项目（U1134205）；国家自然科学基金面上项目（51177139） |
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| Comparison of low-frequency oscillation identification between NExT-ERA and SSI-DATA ambient excitation methods |
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GAO Jie1, LI Qunzhan1, WANG Jia2, WANG Yan1, ZHOU Yang1
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1.School of Electrical Engineering，Southwest Jiaotong University，Chengdu 610031，China;2.Sichuan Electric Power Company & Measuring Center，Chengdu 610045，China
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| Abstract: |
| Along with the application of wide-area measurement system，it is of good application prospect to apply the noise-like signals measured by the phasor measurement units under ambient excitation to online identify the modes of low-frequency oscillation. The performances of low-frequency oscillation identification based on NExT-ERA and SSI-DATA ambient excitation methods are assessed. The basic principles of two corresponding algorithms are briefly reviewed，different assessment criteria are set according to their key parameters and simulation conditions，their performances are compared based on the simulative results of modal parameter identification，and their merits and applicability are summarized. |
| Key words: low-frequency oscillation ambient excitation online modal identification NExT ERA SSI-DATA |
