• DocumentCode
    1321776
  • Title

    Comparison between power quality monitoring results and predicted stochastic assessment voltage sags-“real” reliability for the customer

  • Author

    Sikes, David L.

  • Author_Institution
    Idaho Power Co., Boise, ID, USA
  • Volume
    36
  • Issue
    2
  • fYear
    2000
  • Firstpage
    677
  • Lastpage
    682
  • Abstract
    By utilizing probabilistic methods to predict and characterize events on the power system in terms of frequency, engineering methods and calculations can then be applied to assess the impact of these predicted events. This leads to a complete appraisal of how often various types of consequences will affect an individual customer´s load point. Matching this predictive system performance with the expectations of the customer and the requirements of the customer´s equipment yields not only where deficiencies exist, but also how to apply proper and cost-effective solutions for each load point
  • Keywords
    power supply quality; power system faults; power system measurement; power system reliability; probability; stochastic processes; customer load points; engineering methods; frequency variations; power quality monitoring; power system reliability; predicted stochastic assessment voltage sags; probabilistic methods; Frequency; Monitoring; Power engineering and energy; Power quality; Power system measurements; Power system reliability; Reliability engineering; Stochastic processes; Stochastic systems; Voltage fluctuations;
  • fLanguage
    English
  • Journal_Title
    Industry Applications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0093-9994
  • Type

    jour

  • DOI
    10.1109/28.833787
  • Filename
    833787