• DocumentCode
    1168798
  • Title

    Some Aspects of Generating Unit Availability Models

  • Author

    Debnath, K. ; Billinton, R.

  • Author_Institution
    Power Systems Research Group University of Saskatchewan Saskatoon, Saskatchewan Canada S7N OWO
  • Volume
    9
  • Issue
    3
  • fYear
    1989
  • fDate
    3/1/1989 12:00:00 AM
  • Firstpage
    29
  • Lastpage
    29
  • Abstract
    Generating unit availability data in North America are compiled by two national organizations. In the United States, utility data are processed and disseminated by the North American Electric Reliability Council (NERC) through the Generating Availability Data System (GADS). In Canada, these data are handled by the Canadian Electrical Association (CEA) in its Equipment Reliability Information System (ERIS). The CEA also processes major transmission equipment outage data as part of the ERIS program. The basic generating unit performance parameters from the GADS and ERIS systems are disseminated by NERC and CEA respectively in the form of comprehensive annual reports [1, 2]. The data bases of both these systems contain a considerable amount of raw data which can be interrogated to produce additional statistics and models for performance evaluation and system reliability assessment. This paper presents a brief comparison of basic data from the GADS and ERIS systems and illustrates some aspects of generating unit availability models using the CEA-ERIS data base. The paper also illustrates some of the additional information which can be produced from the continuous state monitoring procedure used by the CEA. This is illustrated by Weibull analysis of state residence time distributions, consideration of the effect of low operating factors for conventional fossil units and modified models for peaking units.
  • Keywords
    Availability; Councils; Data systems; Information systems; North America; Power generation; Power system modeling; Power system reliability; Statistics; Wind energy generation;
  • fLanguage
    English
  • Journal_Title
    Power Engineering Review, IEEE
  • Publisher
    ieee
  • ISSN
    0272-1724
  • Type

    jour

  • DOI
    10.1109/MPER.1989.4310536
  • Filename
    4310536