Power system low frequency oscillation monitoring and analysis based on multi-signal online identification

2010 ◽  
Vol 53 (9) ◽  
pp. 2589-2596 ◽  
Author(s):  
Ye Yuan ◽  
YuanZhang Sun ◽  
Lin Cheng ◽  
Gang Chen ◽  
Peng Wang
Keyword(s):  
Power System ◽  
Low Frequency ◽  
Frequency Oscillation ◽  
Low Frequency Oscillation ◽  
Online Identification ◽  
Oscillation Monitoring

Online Identification and Suppression of Low Frequency Oscillation in Power System Based on WAMS

2014 ◽  
Vol 513-517 ◽  
pp. 2855-2861 ◽  
Author(s):  
Bo Qu ◽  
Jun Yong Wu ◽  
Hong Ke Ai ◽  
Yan Heng Zhou
Keyword(s):  
Power System ◽  
New England ◽  
Low Frequency ◽  
Area Measurement ◽  
Frequency Oscillation ◽  
Low Frequency Oscillation ◽  
Wide Area Measurement System ◽  
Online Identification ◽  
Prony Algorithm ◽  
System Stabilizer

With the assistance of Wide Area Measurement System (WAMS), this paper proposes a method based on Prony algorithm to identify Low Frequency Oscillation (LFO) online and apply Power System Stabilizer (PSS) for rapid suppression. WAMS monitors the power system in real time with high precision. When LFO occurs in the system, applying Prony algorithm to analyze the power angle, it can identify all kinds of LFO modes online. For each mode, PSS would be rapidly configured and applied into the system. When some LFO modes are successfully suppressed, the corresponding PSSs exit. Taking the 10-generator-39-bus system of New England for example, it verifies the correctness and effectiveness of the proposed approach.

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