关于低频振荡分析方法的评述

薛禹胜 Xue, Yusheng, 郝思鹏 Hao, Sipeng, 刘俊勇 Liu, Junyong, Dong, Zhaoyang and Ledwich, Gerard (2009) 关于低频振荡分析方法的评述. Dianli Xitong Zidonghua, 33 3: 1-8.

Author 薛禹胜 Xue, Yusheng
郝思鹏 Hao, Sipeng
刘俊勇 Liu, Junyong
Dong, Zhaoyang
Ledwich, Gerard
Title 关于低频振荡分析方法的评述
Translated title A review of analysis methods for low-frequency oscillations
Language of Title chi
eng
Journal name Dianli Xitong Zidonghua
Translated journal name Automation of Electric Power Systems
Language of Journal Name chi
eng
ISSN 1000-1026
Publication date 2009-02-10
Sub-type Critical review of research, literature review, critical commentary
Open Access Status
Volume 33
Issue 3
Start page 1
End page 8
Total pages 8
Place of publication Nanjing, China
Publisher Dianli Xitong Zidonghua Zazhishe
Language chi
Subject 1706 Computer Science Applications
2207 Control and Systems Engineering
2208 Electrical and Electronic Engineering
2102 Curatorial and Related Studies
Formatted abstract
为更好地梳理概念,将低频振荡分析方法分为两大类,即针对系统模型平衡点的特征根方法以及沿着系统受扰轨迹的模式提取方法。平衡点特征根方法可进一步按采用的系统模型分为确定性的线性化模型、确定性的非线性模型和概率模型。这类方法与具体扰动无关,但只能反映系统在该平衡点附近的动态行为,故不适用于包含强非线性、变系数、相继故障或有离散控制的系统。受扰轨迹模式分析方法则从特定扰动下的时间响应曲线中提取振荡信息的时间序列,包括系统模型未知情况下(如实测轨迹)的信号处理法和系统模型已知情况下(如仿真轨迹)的分时段定常线性化法。在评述各种方法的基础上,提出改进的思路及有望突破的研究方向。

Analysis methods for low-frequency oscillation are classified into two categories. One is the equilibrium-point eigenvalue method; the other is the mode extraction method along the disturbed trajectories. The former can be further sorted into deterministic linear models, deterministic non-linear models and probabilistic models. This category is independent of the disturbances. It can only show the dynamics near the equilibrium point, and is not suitable for systems with strong non-linearity, time variant, sequence fault or discrete actions. The latter extracts the oscillation information from the time response curves of the system. It can be further sorted into the signal processing method without knowledge on the system model, such as that for measured trajectories, and the piecewise autonomisation-linearization method, such as that for simulation results. Based on reviewing various methods, hopeful research areas are proposed.
Keyword Low-frequency oscillation
Equilibrium-point eigenvalues
Trajectory eigenvalues sequence
Signal processing
Stability-preserving dimensional reductions linearity transform
Piecewise autonomisation-linearization method
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Critical review of research, literature review, critical commentary
Collection: School of Information Technology and Electrical Engineering Publications
 
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Created: Wed, 27 Nov 2013, 04:09:10 EST by System User on behalf of School of Information Technol and Elec Engineering