scholarly journals Householder-based Prony Method for Identification of Low-frequency Oscillation in Power System

2019 ◽  
Vol 118 ◽  
pp. 02073
Author(s):  
Simin Zhang ◽  
Guangye Liu ◽  
Yaxin Li ◽  
Jiangang Yao
Keyword(s):  
Power System ◽  
Oscillation Mode ◽  
Low Frequency ◽  
Large Error ◽  
Analysis Tool ◽  
Frequency Oscillation ◽  
Low Frequency Oscillation ◽  
Prony Method ◽  
Prony Algorithm ◽  
Actual Operation

In this paper, the Prony analysis tool with the software used in the actual operation has a large error. The improved Prony method is used to identify the low-frequency oscillation mode of the power system. The traditional Prony algorithm has the problem of insensitivity to parameter error estimation in low frequency oscillation, which affects the accuracy and accuracy of the least squares calculation. Therefore, this paper proposes a Prony method power system low frequency oscillation method using Householder transform to make the calculation more Accurate and proven to be more efficient and reliable.

The New Identification Method for Low Frequency Oscillation Mode in Power System Based on Prony Algorithm and Neural Network

2013 ◽  
Vol 321-324 ◽  
pp. 1400-1404 ◽  
Author(s):  
Ying Jie Tang ◽  
Ying Jun Tang ◽  
Xin Liang Xie
Keyword(s):  
Neural Network ◽  
Pattern Recognition ◽  
Power System ◽  
High Reliability ◽  
Oscillation Mode ◽  
Low Frequency ◽  
Frequency Oscillation ◽  
Low Frequency Oscillation ◽  
Mode Identification ◽  
Prony Algorithm

This paper presented a new improved Prony algorithm based on neural network to train weights.The algorithm solved some problems that difficulty and low precision during matrix inversion in Prony method. According to real-time transform characteristics of low frequency oscillation in power system, the algorithm used limited data windows in on-line parameter estimation and pattern recognition, and improved pattern recognition precision. The simulation results proved that this proposal algorithm has some features of directly ,effective, high reliability, less calculation amount and minor error when it be used to analysis oscillation characteristics and mode identification. So it is suitable for identification of low frequency oscillation mode in power system.

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

2011 ◽  
Vol 128-129 ◽  
pp. 594-601
Author(s):  
Yang Liu ◽  
Qian Huang ◽  
Dong Chen
Keyword(s):  
Power System ◽  
Measurement System ◽  
Rapid Development ◽  
Oscillation Mode ◽  
Low Frequency ◽  
Area Measurement ◽  
Wide Area ◽  
Frequency Oscillation ◽  
Low Frequency Oscillation ◽  
Wide Area Measurement System

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.

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