Identification the Low-Frequency Oscillation Stakeout of Power System by Wide-Area Measurement System

Yang Liu; Qian Huang; Dong Chen

doi:10.4028/www.scientific.net/AMM.128-129.594

Paper Titles

Development of Ultrasonic Automatic Testing System for Flaws of Rotary Parts
p.575

Difference Absorption Optical Fiber Methane Gas Sensor Based on FBG
p.580

Effect of Image Motion and Vibration on Image Quality of TDICCD Camera
p.584

Fusion of Infrared and Visible Image Based on Target Regions for Environment Perception
p.589

Identification the Low-Frequency Oscillation Stakeout of Power System by Wide-Area Measurement System
p.594

Image Displacement Detection under Low Illumination Using Joint Transform Correlator with Wavelet Denoising
p.602

Inter-Pulse Spectroscopy Based on Room-Temperature Pulsed Quantum-Cascade Laser for N₂O Detection
p.607

Measurement and Analysis of the Circuit Delay of CEI System
p.611

Measurement of Tracking Accuracy of Antenna Using Precise Geostationary Satellite Orbit
p.616

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 128-129Identification the Low-Frequency Oscillation...

Identification the Low-Frequency Oscillation Stakeout of Power System by Wide-Area Measurement System

Abstract:

With the rapid development of interconnected power grid, the phenomenon of power system low-frequency oscillation appears unavoidably. Then, the appearance of wide-area measurement system provided a supporting technology for better scout low-frequency oscillation system and better recognize the oscillation mode . In this paper, the existing oscillation mode identifying methods are analyzed from the viewpoint of calculation speed, criterion, calculation accuracy, etc. Mainly compared the applicability of two methods, Prony and ESPRIT . Based on the above research, a new idea of monitoring power system low frequency oscillation based on WAMS is put forward in this paper.

You might also be interested in these eBooks

Measuring Technology and Mechatronics Automation IV

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 128-129)

Pages:

594-601

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.128-129.594

Citation:

Cite this paper

Online since:

October 2011

Authors:

Yang Liu, Qian Huang, Dong Chen

Keywords:

Esprit Method, Low Frequency Oscillation (LFO), Mode Identify, Power System, Prony Method, Wide-Area Measurement System (WAMS)

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Ke ying wang, Gang mu, Xue yun chen. State estimating percision analysis and allocation research considering including PMU[J]. China motor engineering journal, 2002, 21(8): 29-33.

Google Scholar

[2] Grigsby L. L . The electric power engineering handbook[M]. Cleveland: CRC Press, (2000).

Google Scholar

[3] Xian da zhang. Modern signal processing[M]. Bei jing: Qing hua university publishing, (2000).

Google Scholar

[4] Jing zhang, Zheng xu, Feng wang, etc. The application of TLS-ESPRIT on low ferquency oscillation analysis[J]. Power system automation, 2007, 31(20): 84-88.

Google Scholar

[5] Dimitris G., Vinay K. Ingle, Stephen M. Kogon. Statistical and Adaptive Signal Processing[M]. London , Artech House Press, (2005).

Google Scholar

[6] Jing jing lu, Jian guo, Fang tian, etc. The power system oscillation mode analysis and PSS parameter designing basing on Prony method[J]. Power grid techonlogy, 2004, 28(15): 31-34.

Google Scholar

[7] Hong chao liu, Xing yuan li. The research of ac/dc paralleling transmission power system dc damping control basing on Prony recognizing[J]. China motor engineering journal, 2002, 22(7): 54-57.

Google Scholar

[8] J.F. Hauer C.J. Demeure, L.L. Scharf. Initial result in Prony analysis of power system response signals[J]. IEEE Transactions on power system, 1990, 5(1): 80-89.

DOI: 10.1109/59.49090

Google Scholar

[9] Dan li, Fu kun han, Jin yu xiao, etc. Wide area in-time monotoring system of noth china power grid[J]. Power grid, 2004, 28(23): 52-56.

Google Scholar