• DocumentCode
    2849929
  • Title

    A Dynamic Technique for Power System Oscillations Monitoring

  • Author

    Al-Kandari, A.M. ; El-Naggar, K.M.

  • Author_Institution
    Coll. of Technol. Studies, Kuwait
  • fYear
    2007
  • fDate
    10-12 Oct. 2007
  • Firstpage
    18
  • Lastpage
    23
  • Abstract
    This paper presents a novel technique for analyzing the poorly damped low frequency oscillations in power system dynamic swings. The proposed technique is an application of a discrete dynamic estimator based on stochastic estimation theory, which is suitable for estimating parameters on-line. The method uses digital set of measurement for power system dynamic swings to perform the analysis process digitally. The goal is to estimate the amount of damping in the swing curve as well as the oscillation frequency. The problem is formulated and presented as a stochastic dynamic estimation problem. The proposed technique is used to perform the estimation process. The algorithm is tested using different study cases. Results are evaluated and compared to other conventional methods results to show the advantages and disadvantages of the proposed method.
  • Keywords
    estimation theory; oscillations; power system measurement; discrete dynamic estimator; dynamic swings; low frequency oscillations; power system oscillations monitoring; stochastic estimation theory; Estimation theory; Frequency estimation; Monitoring; Parameter estimation; Performance evaluation; Power measurement; Power system analysis computing; Power system dynamics; Power systems; Stochastic processes; Dynamic Oscillations; Estimation; damping constants;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering, 2007 Large Engineering Systems Conference on
  • Conference_Location
    Montreal, Que.
  • Print_ISBN
    978-1-4244-1583-0
  • Electronic_ISBN
    978-1-4244-1583-0
  • Type

    conf

  • DOI
    10.1109/LESCPE.2007.4437346
  • Filename
    4437346