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
Link To Document :
بازگشت