Online Real-time Identification Method for Weak Subsynchronous Oscillation Modal Parameters

被引：0
|
作者：
Li J. [1 ]
Bai S. [2 ]
Jiao S. [2 ]
机构：
[1] School of Automation, Beijing Information Science and Technology University, Haidian District, Beijing
[2] Beijing Sifang Automation Co., Ltd., Haidian District, Beijing
来源：
| 1600年 / Chinese Society for Electrical Engineering卷 / 37期
基金：
中国国家自然科学基金;
关键词：
Damping coefficient; Ibrahim time domain (ITD) method; Random decrement technique (RDT); Subsynchronous oscillation (SSO); Weak signal;
D O I：
10.13334/j.0258-8013.pcsee.170510
中图分类号：
学科分类号：
摘要：
An online identification method for weak SSO modal parameters based on noise-like responses under ambient excitation is proposed. It is applied to the rotational vibration responses of the rotor and the electrical responses in grid-side under the normal operation of the power system, the free response components with single degree of freedom, which reflect the characteristics of subsynchronous oscillation (SSO) modes, are extracted. Then by using the Ibrahim time domain (ITD) modal identification algorithm, the modal parameters such as frequency and damping coefficient are calculated. The key parameters of the random decrement technique (RDT) used to get the free response components of the system are studied. The recommended values of the threshold and the subsample length are both given. So the identification precision of the modal damping is improved. Through the pre-separation for the weak response with multiple modes, each response component of the single degree of freedom is separated so that the reliability of the modal identification is improved. A small mode can not be missed even if there are large differences between the modes in there amplitudes. By using the above methods and steps, the parameters such as the damping coefficient of the weak SSO modes are identified from the responses excited under the normal operation ambient of the Hami region grid. The online continuous real-time identification of the modal damping trend is also implemented. And especially under the current background that large-scale clean energy is combined to the grid, the key factors affecting the system stability can be detected in advance. Therefore, the study is of great importance to wide-area dynamic stability of the power system. © 2017 Chin. Soc. for Elec. Eng.
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页码：63 / 71
页数：8
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