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.

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.

A Self-Tuning Power System Stabilizer Design

2013 ◽  
Vol 385-386 ◽  
pp. 1104-1107
Author(s):  
Ping Chen ◽  
Hui Lan Jiang ◽  
Kai Zeng
Keyword(s):  
Power System ◽  
Low Frequency ◽  
Power System Stabilizer ◽  
Frequency Oscillation ◽  
Low Frequency Oscillation ◽  
Operating Modes ◽  
Prony Algorithm ◽  
Self Tuning ◽  
System Stabilizer ◽  
System Operating

The traditional power system stabilizer (PSS) usually configures parameters in off-line circumstances and can’t adapt to the variations of power system operating modes well. Based on the prony algorithm, this paper presents a parameter self-tuning PSS. After identifying the system reduced model, it recognizes the real-time low frequency oscillation characteristics of system based on the online prony and uses the dominant mode frequency to complete self-tuning parameters of PSS. The simulation results in IEEE 4-11 system show that the self-tuning PSS based on prony algorithm can adapt to the variations of power system operating modes and restrain low frequency oscillation system better, then improve the stability of the system.

Simulation of Grid Low Frequency Oscillation Based on MATLAB

2014 ◽  
Vol 536-537 ◽  
pp. 1532-1536
Author(s):  
Xin Ke Gou ◽  
Bin Qian ◽  
Run Qing Bai
Keyword(s):  
Power System ◽  
Simulation Model ◽  
Low Frequency ◽  
Power System Stabilizer ◽  
Actual Situation ◽  
Power System Simulation ◽  
Frequency Oscillation ◽  
Low Frequency Oscillation ◽  
Low Frequency Oscillations ◽  
System Stabilizer

This paper describes the generation of low frequency oscillations and suppression methods briefly. Observing a phenomenon of low frequency oscillation of Gansu Grid Power and analysis its actual situation. Therefore, we need establish simplified simulation model in MATLAB environment, then do the simulation with the dual power system simulation model which add to power system stabilizer. Simulation results show that: PSS can solve the problem of low frequency oscillations in a region of Gansu steel caused rapid and effective.

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.

A GPSS Based on Active Power Signal and its Effective Frequency Boundary

2017 ◽  
Author(s):  
Yanghai Li ◽  
Tao Yang
Keyword(s):  
Power System ◽  
Low Frequency ◽  
Active Power ◽  
System Structure ◽  
Power System Stabilizer ◽  
Frequency Range ◽  
Frequency Oscillation ◽  
Low Frequency Oscillation ◽  
Effective Response ◽  
System Stabilizer

Low frequency oscillation is one of the most important factors that restrict the tie-line power flow of network. Its effective suppression is necessary to ensure safety and stability of the power system. The conventional power system stabilizer (PSS) is still insufficient in suppressing consider the frequency range and types of oscillation, so it is necessary to study the auxiliary suppression of the oscillation from the turbine side by using the electro-mechanical coupling theory. In this paper, a governorside power system stabilizer (GPSS) based on active power signal is designed, and its working principle, system structure and parameter setting method are introduced, the effective response frequency boundary of oscillation is also analyzed. Theoretical analysis and simulation results show that this GPSS can suppress in the whole frequency range of low frequency oscillation, and it is suitable as an auxiliary means of low frequency oscillation suppression. (CSPE)

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