• DocumentCode
    1877793
  • Title

    Enhanced power system control and management via intelligent substations

  • Author

    Booth, C. ; McDonald, J.R. ; Stewart, R.W. ; Laycock, W.J. ; Bennett, A.

  • Author_Institution
    Centre for Electr. Power Eng., Strathclyde Univ., Glasgow, UK
  • fYear
    1993
  • fDate
    7-10 Dec 1993
  • Firstpage
    542
  • Abstract
    This paper explores the possibilities for a distributed control and management system, with major transmission substations performing tasks such as alarm processing, fault diagnosis and condition monitoring on a local basis; that is, accepting data from local and adjacent substations, processing this data, and sending concise and summarised messages to the control centre (with the potential for localised executive action in some instances). The advantages of such an arrangement are demonstrated, including: reduction in SCADA system load, especially during critical periods; increased local autonomy, thus facilitating substation automation; faster response times due to the distributed nature of the processing throughout the power system. Examples of ongoing research into the realisation of such a system are given, showing test results from packages already developed, using data provided by utilities and manufacturers. Problems with the implementation of such systems are covered, and ideas for the future solutions to these problems are suggested
  • Keywords
    SCADA systems; alarm systems; distributed control; expert systems; failure analysis; intelligent control; neural nets; power system computer control; substations; SCADA system load reduction; alarm processing; condition monitoring; distributed control; expert systems; fault diagnosis; intelligent substations; local autonomy increase; neural networks; power system control; power system management; substation automation; transmission substations;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Advances in Power System Control, Operation and Management, 1993. APSCOM-93., 2nd International Conference on
  • Conference_Location
    IET
  • Print_ISBN
    0-85296-569-9
  • Type

    conf

  • Filename
    292664