Partial Eigenanalysis for Power System Stability Study by Connection Network

  • Authors:
  • Pei-Hwa Huang;Chao-Chun Li

  • Affiliations:
  • Department of Electrical Engineering, National Taiwan Ocean University, Peining Road, Keelung 20224, Taiwan;Department of Electrical Engineering, National Taiwan Ocean University, Peining Road, Keelung 20224, Taiwan

  • Venue:
  • ICIC '07 Proceedings of the 3rd International Conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

Abstract

Power system small signal stability concerns the ability of the power system to maintain stable subject to small disturbances. The method of frequency-domain analysis, namely the analysis of system eigenstructure, is commonly employed for the study of small signal stability. However, we often face high-order system matrix due to the large number of generating units so that it will be undesirable to calculate and analyze the whole system eigenstructure. The main purpose of this paper is to present an algorithm to find out the eigenvalue of the worst-damped electromechanical mode or the eigenvalues of all unstable electromechanical modes, i.e. to figure out those eigenvalues of critical oscillatory modes. The proposed algorithm takes advantage of the specific feature of the parallel structure of connection networks for calculating the eigenvalues. Numerical results from performing eigenvalue analysis on a sample power system are demonstrated to verify the proposed method.