WAMS-based detection and early-warning of low-frequency oscillations in large-scale power systems

被引:33
作者
Zhang, Shuqing [1 ]
Xie, Xiaorong [1 ]
Wu, Jingtao [2 ]
机构
[1] Tsinghua Univ, Dept Elect Engn, State Key Lab Secur Control & Simulat Power Syst, Beijing 100084, Peoples R China
[2] Beijing Sifang Automat Co Ltd, Beijing 100085, Peoples R China
基金
中国国家自然科学基金;
关键词
low-frequency oscillation; PMU; WAMS; Prony algorithm;
D O I
10.1016/j.epsr.2007.06.008
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 [电气工程]; 0809 [电子科学与技术];
摘要
The phasor measurement units (PMU) and wide-area measurement systems (WAMS) have been widely established in modern power systems to improve the monitoring of the system behavior as well as the system control. In this paper, an integrated scheme for the monitoring and detection of low-frequency oscillations has been developed, based on our extensive experience in using Prony algorithm for oscillation analysis in practical WAMS projects. By analyzing the real-time synchro-phasors, the proposed scheme is competent to identify the characteristics of the low-frequency oscillations in real-time and alert the operators once the oscillation is under-damped ordivergent. To ensure accurate monitoring of system dynamics and reliable detection of dangerous oscillations with noise-polluted WAMS measurements, several key signal-processing techniques are implemented, including delicate designing of prefilters, Prony analysis result correction, and comprehensive indices for stability evaluation. In the end, the developed scheme is tested with simulated signals and measurements from practical power systems. Its applications to large-scale power grids for detection and early-warning of low-frequency oscillations are also presented. The results have convincingly demonstrated the validity and practicability of the developed scheme. (c) 2007 Elsevier B.V. All rights reserved.
引用
收藏
页码:897 / 906
页数:10
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