Improvement on probabilistic small-signal stability of power system with large-scale wind farm integration

X. Y. Bian, X. X. Huang, K. C. Wong, K. L. Lo, Yang Fu, S. H. Xuan

Research output: Contribution to journalArticlepeer-review

22 Citations (Scopus)


This paper studies probabilistic small-signal stability of power systems with wind farm integration, considering the stochastic uncertainty of system operating conditions. The distribution function of the real-part of system eigenvalue is computed by the method of probabilistic eigenvalue analysis. For improving probabilistic small-signal stability, PSS is adopted. A method for optimizing PSS based on participation factor and center frequency method is proposed. In order to evaluate the above proposed methods, the procedure is applied to a test system. The simulation results show that the stochastic variation of wind generation can induce a higher probability of system instability when compared with one that has no wind generation. With eigenvalues distributing in a wider range, it becomes difficult for PSS tuning. By applying the proposed optimized PSSs approach, probabilistic stability of system can be significantly improved.

Original languageEnglish
Pages (from-to)482-488
Number of pages7
JournalInternational Journal of Electrical Power and Energy Systems
Publication statusPublished - Oct 2014


  • Center frequency method
  • Participation factor
  • Power system stabilizer (PSS)
  • Probabilistic eigenvalue analysis
  • Wind farm integration


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