• DocumentCode
    22078
  • Title

    Entropy-Based Metric for Characterization of Delayed Voltage Recovery

  • Author

    Dasgupta, Sambarta ; Paramasivam, Magesh ; Vaidya, Umesh ; Ajjarapu, Venkataramana

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Iowa State Univ., Ames, IA, USA
  • Volume
    30
  • Issue
    5
  • fYear
    2015
  • fDate
    Sept. 2015
  • Firstpage
    2460
  • Lastpage
    2468
  • Abstract
    In this paper, we introduce a novel entropy-based metric to characterize the fault-induced delayed voltage recovery (FIDVR) phenomenon. In particular, we make use of Kullback-Leibler (KL) divergence to determine both the rate and the level of voltage recovery following a fault or disturbance. The computation of the entropy-based measure relies on voltage time-series data and is independent of the underlying system model used to generate the voltage time-series. The proposed measure provides quantitative information about the degree of WECC voltage performance violation for FIDVR phenomenon. The quantitative measure for violation allows one to compare the voltage responses of different buses to various contingencies and to rank order them, based on the degree of violation.
  • Keywords
    entropy; power system faults; power system measurement; signal processing; time series; Kullback-Leibler divergence; WECC voltage performance violation; delayed voltage recovery characterization; entropy based metrics; fault induced delayed voltage recovery; voltage recovery rate; voltage time-series data; Approximation methods; Density functional theory; Entropy; Probability density function; Probability distribution; Steady-state; Voltage measurement; Contingency analysis; delayed voltage recovery; entropy;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2014.2361649
  • Filename
    6942243