Application of Phasor Measurement Unit on Locating Disturbance Source for Low-Frequency Oscillation

2010 ◽  
Vol 1 (3) ◽  
pp. 340-346 ◽  
Author(s):  
Jin Ma ◽  
Pu Zhang ◽  
Hong-jun Fu ◽  
Bo Bo ◽  
Zhao-yang Dong
Keyword(s):  
Low Frequency ◽  
Phasor Measurement Unit ◽  
Measurement Unit ◽  
Frequency Oscillation ◽  
Low Frequency Oscillation ◽  
Phasor Measurement ◽  
Disturbance Source

scholarly journals Low-Frequency Oscillation in Power System

2020 ◽  
Vol 9 (3S2) ◽  
pp. 5-9
Keyword(s):  
Signal Processing ◽  
Power System ◽  
Low Frequency ◽  
Measurement Unit ◽  
Frequency Oscillation ◽  
Low Frequency Oscillation ◽  
Interconnected Power System ◽  
Oscillation Detection ◽  
Processing Techniques ◽  
Signal Processing Techniques

Low-frequency oscillation can collapse the stability of the power system, which is considered to be one of the most significant challenges to a power system engineer. In earlier decades modal analysis was carried out for identifying lowfrequency oscillation modes, which have various drawbacks. In the present era, with the application of the Phasor measurement unit & various signal processing techniques, identification of lowfrequency oscillation is being carried out with accuracy to an extent. This paper provides a survey of recent research and development in the field of identification of low-frequency oscillation by different signal processing techniques. It is expected that this literature survey will provide researchers with some future direction in finding relevant references and developing suitable techniques for low-frequency oscillation detection in the interconnected power system.

Mode identification method of low-frequency oscillation for power system based on ambient data

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hong-Yan Yan ◽  
Jin Kwon Hwang
Keyword(s):  
Power System ◽  
Curve Fitting ◽  
Low Frequency ◽  
Modal Identification ◽  
Measurement Unit ◽  
Frequency Oscillation ◽  
Low Frequency Oscillation ◽  
Content Type ◽  
Identification Method ◽  
Ambient Data

Purpose The purpose of this paper is to improve the online monitoring level of low-frequency oscillation in the power system. A modal identification method of discrete Fourier transform (DFT) curve fitting based on ambient data is proposed in this study. Design/methodology/approach An autoregressive moving average mathematical model of ambient data was established, parameters of low-frequency oscillation were designed and parameters of low-frequency oscillation were estimated via DFT curve fitting. The variational modal decomposition method is used to filter direct current components in ambient data signals to improve the accuracy of identification. Simulation phasor measurement unit data and measured data of the power grid proved the correctness of this method. Findings Compared with the modified extended Yule-Walker method, the proposed approach demonstrates the advantages of fast calculation speed and high accuracy. Originality/value Modal identification method of low-frequency oscillation based on ambient data demonstrated high precision and short running time for small interference patterns. This study provides a new research idea for low-frequency oscillation analysis and early warning of power systems.

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