Low-frequency oscillation mode identification based on wide-area spatio-temporal stochastic responses

被引：0
|
作者：
Jia Y. [1 ]
He Z. [1 ]
Liao K. [1 ]
机构：
[1] School of Electrical Engineering, Southwest Jiaotong University, Chengdu
来源：
| 1600年 / Electric Power Automation Equipment Press卷 / 36期
关键词：
Electric power systems; Low-frequency oscillation; Mode identification; Stochastic response; Vector autoregressive model;
D O I：
10.16081/j.issn.1006-6047.2016.12.008
中图分类号：
学科分类号：
摘要：
Since the multiple oscillation modes cannot be accurately identified only by the single-channel signals and the associated modal shapes cannot be estimated either, a method of oscillation mode identification based on wide-area spatio-temporal stochastic responses is proposed. The relationship between VAR (Vector Auto Regressive) model of wide-area spatio-temporal stochastic responses and system oscillation modes is discussed and the QR decomposition is applied to realize the least square estimation of VAR model parameters. The parameters of oscillation modes are calculated and the dominant mode of system is determined according to the power spectrum peak value of system stochastic responses. The proposed method is tested by the Monte Carlo simulation for New England system and results show that, the wide-area spatio-temporal stochastic responses can be used to estimate the modal parameters and modal shapes of multiple dominant oscillation modes accurately;and the proposed method is simpler and more efficient than the subspace identification method. The measured WECC system signals are applied to verify the flexibility of the proposed method. © 2016, Electric Power Automation Equipment Press. All right reserved.
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页码：50 / 56
页数：6
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