Partial Eigenanalysis for Power System Stability Study by Connection Network

2007 ◽  
pp. 330-339
Author(s):  
Pei-Hwa Huang ◽  
Chao-Chun Li
Keyword(s):  
Power System ◽  
Power System Stability ◽  
Stability Study ◽  
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.

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.

scholarly journals Power System Stability Study on Multi Machine Systems having DFIG Based Wind Generation System

2020 ◽  
Vol 6 (3) ◽  
pp. 27-30
Author(s):  
Pramod Kumar Mehar ◽  
Mrs. Madhu Upadhyay
Keyword(s):  
Steady State ◽  
Power Systems ◽  
Power System ◽  
Power Plants ◽  
Transient Stability ◽  
Power System Stability ◽  
Stability Study ◽  
System Stability ◽  
Synchronous Generators ◽  
The Impact

Power system stability is related to principles of rotational motion and the swing equation governing the electromechanical dynamic behavior. In the special case of two finite machines the equal area criterion of stability can be used to calculate the critical clearing angle on the power system, it is necessary to maintain synchronism, otherwise a standard of service to the consumers will not be achieved. With the increasing penetration of doubly fed induction generators (DFIGs), the impact of the DFIG on transient stability attracts great attention. Transient stability is largely dominated by generator types in the power system, and the dynamic characteristics of DFIG wind turbines are different from that of the synchronous generators in the conventional power plants. The analysis of the transient stability on DFIG integrated power systems has become a very important issue. This paper is a review of three types of stability condition. The first type of stability, steady state stability explains the maximum steady state power and the power angle diagram. There are several methods to improve system stability in which some methods are explained.

scholarly journals Development of a Pumped-Storage Power Station Model for Power System Stability Study

1991 ◽  
Vol 111 (2) ◽  
pp. 197-204
Author(s):  
Haruhito Taniguchi ◽  
Taiji Nagao ◽  
Hiromasa Higasa
Keyword(s):  
Power System ◽  
Power System Stability ◽  
Stability Study ◽  
System Stability ◽  
Power Station ◽  
Pumped Storage

Development of improved Lyapunov functions for transient power system stability study †

1970 ◽  
Vol 1 (2) ◽  
pp. 143-151
Author(s):  
P. V. SUBRAMANIAN ◽  
K. PARTHASARATHY ◽  
B. N. NARAYANA IYENGAR
Keyword(s):  
Power System ◽  
Lyapunov Functions ◽  
Power System Stability ◽  
Stability Study ◽  
System Stability

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.

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