By Topic

Power system small signal stability analysis based on character identification of time domain simulation

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
Wang Gang ; Nat. Key Lab. for Vessel Integrated Power Syst. Technol., Wuhan, China ; Fan XueXin ; Yang Hua ; Ji Feng
more authors

Selection of disturbance variables and observation response variables has great influence to small signal stability analysis of time domain simulation, whose oscillation mode set may be incomplete, making it is impossible to obtain physical insight of system stability and find out related measure to improve system stability level. To overcome these problems, correlation between characteristic matrix and perturbance dynamic response of state variables is set forth, where dynamic response of increment of state vector can be approximated by result of state transition matrix multiplying by its disturbance of state vector. Estimation method of one time perturbance and orthogonal perturbance are presented to calculate the state transition matrix, while characteristic matrix can be calculated by its Taylor series expansion. Estimation method of one time perturbance is difficult to achieve invertible perturbance matrix or has poor accuracy, while estimation method of orthogonal perturbance has advantage of high accuracy, high robustness and high speed. Theoretical analysis and simulation test show that eigen-structure analysis can be implemented based on proposed method by time domain simulation of power system, which can provide technical supporting to obtain physical insight for system stability analysis and controller design.

Published in:

Advanced Power System Automation and Protection (APAP), 2011 International Conference on  (Volume:2 )

Date of Conference:

16-20 Oct. 2011