• DocumentCode
    800325
  • Title

    Object oriented expert system estimates line ampacity

  • Author

    Deb, Anjan K.

  • Volume
    8
  • Issue
    3
  • fYear
    1995
  • fDate
    7/1/1995 12:00:00 AM
  • Firstpage
    30
  • Lastpage
    35
  • Abstract
    In a competitive power supply business environment, line ampacity predictions are required by electric power utilities for economic generation planning, system dispatching, contingency planning, security analysis, and for normal and emergency operation of electric power systems. The line ampacity system featured in this article calculates ampacity from general purpose National Weather Service (NWS) forecasts and does not require additional hardware on power lines. By designing the ampacity expert system with objects and rules, it can be easily implemented in small and large electric companies. The Line Ampacity System (LINEAMPS) is a PC/Windows-based, power-line ampacity, expert-system program for the estimation of line ampacity during steady-state, dynamic state, and transient conditions. It was developed by the application of artificial intelligence using object-oriented, knowledge-base design of the power line environment. The expert system provides hourly values of line ampacity up to 7 days in advance and is used for the operation, planning, and design of transmission and distribution lines at all voltages
  • Keywords
    distribution networks; expert systems; object-oriented methods; power system analysis computing; power transmission lines; LINEAMPS; Line Ampacity System; National Weather Service forecasts; PC/Windows-based program; artificial intelligence; contingency planning; dynamic state conditions; economic generation planning; electric power utilities; emergency operation; knowledge-base design; line ampacity estimation; normal operation; object oriented expert system; power line environment; security analysis; steady-state conditions; system dispatching; transient conditions; Dispatching; Economic forecasting; Emergency power supplies; Environmental economics; Expert systems; Power generation; Power generation economics; Power system economics; Power system planning; Weather forecasting;
  • fLanguage
    English
  • Journal_Title
    Computer Applications in Power, IEEE
  • Publisher
    ieee
  • ISSN
    0895-0156
  • Type

    jour

  • DOI
    10.1109/67.392024
  • Filename
    392024