Gird Lagrange Stability Analysis Based on Quasi Periodic Analysis

2013 ◽  
Vol 336-338 ◽  
pp. 570-574
Author(s):  
Li Fang Lu ◽  
Huan Qi ◽  
Xun Cheng Huang
Keyword(s):  
Power System ◽  
Power System Stability ◽  
Ensemble Empirical Mode Decomposition ◽  
Stability Study ◽  
System Stability ◽  
Trajectory Data ◽  
Lagrange Stability ◽  
Mode Decomposition ◽  
Periodic Analysis ◽  
Simulation Results

The Lagrange stability is a new concept in power system stability study. In this paper, an effective method based on quasi-periodic analysis has be presented to analyze the power system Lagrange stability. The Ensemble Empirical Mode Decomposition (EEMD) has be introduced to deal with the trajectory data of power system in the proposed approach. With the EEMD decomposition and linear transformation of the trajectory data, a special constantAcan be accepted. IfAequal to zero, the power system is Lagrange stable, otherwise the power system is not Lagrange stable. The simulation results show the correctness of the method.

Power System Stability Study with Empirical Mode Decomposition

2013 ◽  
Vol 732-733 ◽  
pp. 905-908 ◽  
Author(s):  
Chia Liang Lu ◽  
Pei Hwa Huang
Keyword(s):  
Power System ◽  
Empirical Mode Decomposition ◽  
Time Domain ◽  
Power System Stability ◽  
Direct Analysis ◽  
Stability Study ◽  
System Stability ◽  
Intrinsic Mode Functions ◽  
Time Frequency ◽  
Mode Decomposition

Low frequency oscillations (LFO) reflect the damping and the stability of a power system and is essentially non-stationary. The LFO is a composite response of various oscillation modes and of which the frequency may be changing with time; thus, direct analysis of such time-domain responses is difficult. The main purpose of this paper is to apply the method of empirical mode decomposition (EMD) to the study of power system stability. First the method of EMD is to expand the time-domain responses under study into multiple intrinsic mode functions (IMFs). Then the 2D time-frequency information inherent in the response under study is obtained using the wavelet transform. The 2D time-frequency graph is further expanded into a 3D time-frequency-energy graph. Information from the 3D time-frequency graph is analyzed to determine those generators that have higher extent of oscillation involvement during the occurrence of LFO in the power system. The results from comparative analysis show that, at specific frequencies from LFOs, higher extent of oscillation involvement will reveal a greater factor of involvement in the frequency domain behavior.

scholarly journals Design and analysis of transmission-level power system stability control

2021 ◽  
Author(s):  
Tu Phan
Keyword(s):  
Power System ◽  
Transient Stability ◽  
Power System Stability ◽  
Stability Control ◽  
Stability Study ◽  
System Stability ◽  
Voltage Regulator ◽  
Automatic Voltage Regulator ◽  
Excitation Techniques ◽  
System Stabilizer

After the August 14, 2003 blackout, power system stability probelm has received a great deal of attention. This project is focused on the analysis of transient stability following disturbances. The project investigates three generator-excitation techniques for controlling the stability of power system. They are the manual control (constant excitation voltage), the automatic voltage regulator (AVR), and the automatic voltage regulator plus the power system stabilizer (PSS) that basically can be a led-leg compensator using a rotor speed deviation as an input feedback. This project carried out a computer simulation study of the power system stability for various disturbances conditions. The simulation results from the project have shown that AVR coupled PSS generator-excitation control can achieve the best power system stability, comparing to the manual or AVR control. A major contribution of this project is that a computer platform using MatLab/Simulink software was designed and can be used by other researchers for the power system stability study.

Grid Lagrange Stability Analysis Based on Chaos Analysis

2013 ◽  
Vol 732-733 ◽  
pp. 1029-1032 ◽  
Author(s):  
Cai Lian Luo ◽  
Huan Qi ◽  
Xun Ccheng Huang
Keyword(s):  
Time Series ◽  
Stability Analysis ◽  
Lyapunov Exponent ◽  
Power System ◽  
Chaos Theory ◽  
Power System Stability ◽  
System Stability ◽  
Largest Lyapunov Exponent ◽  
Lagrange Stability ◽  
System Stability Analysis

The power system is a typical non-linear system, of which the influencing factors are complex. The existing power system stability analysis methods can only determine whether the system into chaos, and deem chaos unstable. The development of the science of chaos has opened up a new way for the power system stability analysis. First, chaotic time series based on the power system calculate the largest Lyapunov exponent of the power system time series by the use of C-C method in the chaos theory and reconstruction of phase space. Then it identifies Chaos according to the largest Lyapunov exponent. Finally, it determines whether the power system is the Lagrange stability according to the size of the index combined with systemic phase diagram. The analysis of actual power system simulation proved that it is feasible to use chaos theory to analyze the stability of the grid Lagrange.

Decentralized Robust Coordinated Controller of Excitation and Valve for Improvement of Power System Stability

2014 ◽  
Vol 668-669 ◽  
pp. 462-465
Author(s):  
Zhi Min Li ◽  
Xin Yang Deng ◽  
Xiao Ming Mou ◽  
Shuang Rong ◽  
Tian Kui Sun ◽  
...  
Keyword(s):  
Power Systems ◽  
Power System ◽  
Control Systems ◽  
Coordinated Control ◽  
Power System Stability ◽  
System Stability ◽  
Control Scheme ◽  
Terminal Voltage ◽  
Simulation Results ◽  
Generator Terminal

A novel robust control scheme for decentralized generator excitation and valve coordinated control systems to improve power system stability is proposed. By utilizing generator terminal voltage magnitude and phase angle to represent the interactions among generators, decentralized generator excitation and valve coordinated control in multi-machine power systems is achieved. The control is realized by robust parametric approach. Simulation results show that the proposed robust parametric coordinated control can improve power system stability.

scholarly journals Design and analysis of transmission-level power system stability control

2021 ◽  
Author(s):  
Tu Phan
Keyword(s):  
Power System ◽  
Transient Stability ◽  
Power System Stability ◽  
Stability Control ◽  
Stability Study ◽  
System Stability ◽  
Voltage Regulator ◽  
Automatic Voltage Regulator ◽  
Excitation Techniques ◽  
System Stabilizer

After the August 14, 2003 blackout, power system stability probelm has received a great deal of attention. This project is focused on the analysis of transient stability following disturbances. The project investigates three generator-excitation techniques for controlling the stability of power system. They are the manual control (constant excitation voltage), the automatic voltage regulator (AVR), and the automatic voltage regulator plus the power system stabilizer (PSS) that basically can be a led-leg compensator using a rotor speed deviation as an input feedback. This project carried out a computer simulation study of the power system stability for various disturbances conditions. The simulation results from the project have shown that AVR coupled PSS generator-excitation control can achieve the best power system stability, comparing to the manual or AVR control. A major contribution of this project is that a computer platform using MatLab/Simulink software was designed and can be used by other researchers for the power system stability study.

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